Open Access
REVIEW
Metastatic Triple Negative Breast Cancer: Navigating a Rapidly Evolving Therapeutic Landscape
1 The Breast Unit, The Royal Marsden Hospital NHS Foundation Trust, London, UK
2 The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
* Corresponding Author: Alicia F. C. Okines. Email:
Oncology Research 2026, 34(10), 3 https://doi.org/10.32604/or.2026.082829
Received 24 March 2026; Accepted 21 May 2026; Issue published 14 September 2026
Abstract
Triple negative breast cancer (TNBC) is defined by the absence of oestrogen receptor, progesterone receptor, and HER2 expression, and carries a disproportionate burden of breast cancer-related mortality due to its aggressive biology and historically limited therapeutic options. The treatment landscape of metastatic TNBC has undergone a fundamental transformation over the past decade, driven by immune checkpoint inhibitors, antibody-drug conjugates (ADCs), and the identification of actionable genomic alterations. This review provides a comprehensive, clinically oriented appraisal of the current and emerging therapeutic landscape of metastatic TNBC, encompassing its molecular underpinnings and tumour microenvironment biology. We critically evaluate the evolving roles of immune checkpoint inhibition, ADCs, PARP inhibitors, and novel targeted approaches, discuss mechanisms of resistance and biomarker limitations, and propose a framework for rational, biomarker-guided treatment selection and sequencing to support evidence-based clinical decision-making in this rapidly evolving field.Keywords
1.1 Epidemiology and Clinical Significance
Breast cancer remains the most frequently diagnosed malignancy worldwide, with an estimated 2.3 million new cases and 685,000 deaths reported globally in 2020 [1]. Triple negative breast cancer (TNBC), which is characterised by the absence of ER, PR, and HER2 amplification or overexpression, accounts for approximately 10–15% of all breast cancers, translating to approximately 300,000 cases annually [2]. Despite constituting a minority of diagnoses, TNBC is responsible for a disproportionate share of breast cancer-specific mortality, a disparity attributable to its aggressive clinical behaviour, high rates of visceral and central nervous system (CNS) metastasis, and historically limited therapeutic options [3].
This subtype is enriched amongst younger women, women of African ancestry, and those with germline BRCA gene mutations [4,5]. The peak incidence is between 40 and 50 years of age; approximately a decade younger than the median age at diagnosis of the most common, hormone receptor-positive (HR-positive) subtype [5]. BRCA1/2-associated TNBC constitutes approximately 10–20% of all TNBC cases, underscoring the importance of germline testing in this population [6]. Population-based analyses have demonstrated that Black women have a two-fold higher incidence of TNBC compared with White women, an observation partly attributable to germline susceptibility variants; socioeconomic factors, meanwhile, influence access to timely treatment [5,7].
In the metastatic setting, TNBC carries a substantially worse prognosis than other breast cancer subtypes, in part due to the successful development of HER2-targeted agents. Prior to the introduction of immunotherapy for PD-L1-positive TNBC, the median progression-free survival (PFS) with first-line chemotherapy ranged from 5 to 8 months, and median overall survival (OS) was approximately 12 to 18 months [8]. The five-year survival rate for metastatic TNBC is estimated at less than 12%, in stark contrast to HER2-positive or HR-positive disease, where longer-term survival is increasingly achievable [9]. TNBC is associated with a high risk of visceral metastases, particularly to the lungs and liver, and carries a notable risk of CNS involvement, with brain metastases reported in up to 50% of patients with metastatic TNBC [10,11].
The management of metastatic TNBC is complicated by several interrelated challenges. Firstly, the defining absence of ER, PR, and HER2 renders endocrine therapy and HER2-directed agents ineffective, historically confining systemic treatment options to cytotoxic chemotherapy [12]. Secondly, TNBC exhibits profound molecular heterogeneity which we will discuss in more detail later in this review. Even within the triple-negative designation, multiple distinct molecular subtypes exist with divergent gene expression profiles, proliferative indices, immune infiltrates, and oncogenic dependencies [13]. This heterogeneity complicates biomarker-driven patient selection and undermines the applicability of a one-size-fits-all chemotherapeutic approach. Thirdly, the disease course is characteristically aggressive with rapid progression on therapy, early development of acquired resistance to cytotoxic agents, and accumulation of treatment-related toxicities despite a relatively young patient population [3].
Brain metastases represent a major cause of morbidity and mortality in metastatic TNBC, with the median interval from diagnosis of metastatic disease to CNS involvement in the order of approximately 10–18 months in retrospective analyses, reflecting the often early onset of brain relapse in this subtype and often limited survival beyond brain metastases diagnosis [11]. The historical management of brain metastases in TNBC relied predominantly on local therapy, largely comprising whole-brain radiotherapy (WBRT) for the often extensive CNS involvement. Systemic therapy options were severely limited by poor blood brain barrier (BBB) penetration of conventional chemotherapeutic agents; for example doxorubicin and taxanes achieve cerebrospinal fluid (CSF) concentrations well below therapeutic thresholds [14]. Historically, patients with active brain metastases were excluded from clinical trials, creating a profound evidence gap. The emergence of CNS-penetrant agents, including newer-generation antibody-drug conjugates (ADCs) and small molecule inhibitors, has begun to address this need, as we will discuss in subsequent sections.
The past five years have marked a period of significant evolution in the management of TNBC, with multiple landmark clinical trials reshaping available therapeutic options. The KEYNOTE-355 and IMpassion130 trials established immunotherapy, specifically PD-L1-directed immune checkpoint inhibition (ICI) in combination with chemotherapy, as a new first-line standard of care for PD-L1-positive disease [15,16]. The ASCENT trial demonstrated the superiority of the TROP-2-directed ADC sacituzumab govitecan (SG) over single-agent chemotherapy in previously treated disease [17]. Concurrently, the emergence of HER2-low as a therapeutically relevant biomarker, validated by the DESTINY-Breast04 trial, has identified a new targetable subset within TNBC [18].
More recently, ADCs are being evaluated earlier in the disease course, including in the first-line setting. Following the survival advantage demonstrated with SG in previously treated metastatic TNBC, subsequent studies have investigated its integration into frontline therapy. ASCENT-03 evaluated SG versus physician’s choice chemotherapy in the first-line setting for PD-L1-negative, or ICI ineligible, metastatic TNBC, while ASCENT-04 assessed SG in combination with pembrolizumab for PD-L1-positive disease [19,20]. Reported data from these trials demonstrate clinically meaningful improvements in PFS compared with chemotherapy-based standards, supporting the potential repositioning of ADCs into earlier lines of therapy. This is particularly important given only approximately 50% of patients with metastatic TNBC will receive a second line of palliative therapy [21]. In parallel, TROPION-Breast02 evaluated the TROP-2-targeting ADC datopotamab deruxtecan (Dato-DXd) versus chemotherapy in first line ICI-ineligible patients with metastatic TNBC, reporting both improved PFS and OS in patients unsuitable for ICIs, with potential implications for future sequencing strategies [22].
Collectively, these findings signal a paradigm shift in which ADCs are no longer confined to the post-chemotherapy setting but are emerging as candidates for frontline therapy. This transition necessitates careful consideration of optimal integration with immune checkpoint blockade, mechanisms of primary and acquired resistance, biomarker refinement, and the management of ADC-specific toxicities as these agents are incorporated earlier in the treatment algorithm.
Against this backdrop, the pipeline of emerging agents, encompassing novel ADCs, next-generation PARP inhibitors, AKT pathway inhibitors, androgen receptor antagonists, and early-phase cell-based therapies, continues to expand rapidly.
This review systematically appraises the evolving treatment landscape of metastatic TNBC, from the molecular underpinnings of the disease to the clinical evidence supporting current and emerging therapeutic strategies. This review aims to provide a clinically actionable framework to support oncologists in navigating this increasingly complex and rapidly evolving therapeutic landscape.
Throughout this review, trial selection prioritises phase III randomised evidence in the metastatic TNBC setting, supplemented by pivotal phase I/II data where phase III evidence is unavailable or where early-phase findings are considered practice-informing. Trials conducted in broader breast cancer populations are included where directly relevant to biomarker-defined subgroups that overlap with TNBC, such as HER2-low and germline BRCA-mutated disease.
2 Pathophysiology and Molecular Characteristics
2.1 Molecular Subtypes of TNBC
Gene expression profiling studies have delineated several distinct molecular subtypes within the broad TNBC category, most comprehensively characterised by the Lehmann classification, which identified six TNBC subtypes: basal-like 1 (BL1), basal-like 2 (BL2), mesenchymal (M), mesenchymal stem-like (MSL), immunomodulatory (IM), and luminal androgen receptor (LAR) [23]. Subsequently, a refined four-subtype model consolidated overlapping transcriptomic profiles into BL1, BL2, M, and LAR subtypes, each with distinct oncogenic dependencies and potential therapeutic vulnerabilities [13].
BL1 tumours, the most common subtype, are characterised by high expression of cell cycle genes (CDK1/2), DNA damage response genes (BRCA1, TP53BP1), and elevated proliferative indices. These tumours demonstrate the highest pathological complete response (pCR) rates to platinum-based neoadjuvant chemotherapy (NACT) and are the most immunologically active [24]. BL2 tumours express growth factor signalling components (EGFR, NGF, MET) and IGF1R, conferring relative resistance to conventional chemotherapy. The mesenchymal subtype (M) expresses genes involved in cell motility and the epithelial-mesenchymal transition (EMT), and exhibits activation of the PI3K/mTOR and Wnt/β-catenin pathways, providing a rationale for targeted inhibition of these pathways [13]. The LAR subtype overexpresses androgen receptor (AR) and luminal cytokeratins, and molecular profiling reveals PIK3CA mutations in approximately 50% of cases, suggesting dual AR and PI3K pathway targeting as a rational therapeutic strategy [25].
Beyond the Lehmann classification, additional molecular features further stratify TNBC. Claudin-low tumours are enriched for cancer stem cell characteristics, EMT gene signatures, and immune cell infiltrates, and are associated with relatively chemotherapy-resistant biology [26]. An interferon-rich subgroup, characterised by high expression of innate immune pathway genes and type I interferon signalling, has been associated with the highest degree of immune infiltration and identified as the subtype most likely to respond to ICI [27]. A thorough understanding of these molecular subtypes is essential for guiding rational, biomarker-driven therapeutic selection.
2.2 Somatic Mutations and Key Biomarkers
TP53 mutations are the most prevalent somatic genetic alterations in TNBC, occurring in approximately 65–80% of cases, compared with 20–30% in HR+ breast cancer [28]. Loss of TP53 function promotes genomic instability, accelerates cell cycle progression, and contributes to the aggressive clinical phenotype. PIK3CA mutations are identified in approximately 8–10% of TNBC, and are particularly enriched in the LAR subtype, where they may be detected in up to 40-50% of cases, activating the PI3K/AKT/mTOR pathway and providing a potential pharmacological target [25]. PTEN loss, occurring through deletion or somatic mutation in up to 25–35% of TNBC cases, similarly activates PI3K/AKT signalling [29] and may independently predict sensitivity to AKT inhibitors, although only modest activity was reported with capivasertib in patients with ER-negative disease and AKT or PTEN mutations in the UK plasmaMATCH trial [30].
Germline BRCA1/2 mutations, present in 10–20% of TNBC, disrupt homologous recombination (HR) DNA repair, rendering tumours acutely sensitive to PARP inhibitors and platinum-based chemotherapy [6]. Somatic BRCA1/2 mutations and alterations in other HR pathway genes, collectively referred to as homologous recombination repair (HRR) alterations, (RAD51, PALB2, ATM) contribute to the broader ‘BRCAness’ phenotype, characterised by homologous recombination deficiency (HRD), which may extend sensitivity to PARP inhibitors beyond patients with germline BRCA mutations [31]. Benefit was limited to patients with germline or somatic BRCA1/2 or PALB2 mutations in the TBCRC-048 trial of olaparib, with no responses reported in patients with ATM or CHEK2 mutations [32]. FGFR2 amplification, which occurs in approximately 4% of TNBC, activates receptor tyrosine kinase (RTK) signalling and represents an emerging therapeutic target given preclinical sensitivity to FGFR inhibitors [33]. However clinical evaluation has been disappointing [34]. In contrast, HER2 (ERBB2) mutations, distinct from HER2 amplification, are identified in 2–5% of TNBC and have demonstrated actionability with useful response rates reported for neratinib, tucatinib with trastuzumab and trastuzumab deruxtecan (T-DXd) [35,36,37] with the tucatinib combination recently included in NCCN guidelines.
PD-L1 expression, assessed by immunohistochemistry (IHC) using the SP142 antibody (immune cell [IC] score ≥1%) or the 22C3 antibody (Combined Positive Score [CPS] ≥10), is the principal predictive biomarker for ICI benefit in the first-line metastatic setting [15,16].
AR expression, defined by IHC positivity ≥10% in most studies, characterises approximately 20–30% of TNBC and identifies the LAR subtype as a candidate for androgen receptor pathway inhibition [23]. Attempts to re-purpose anti-androgens including enzalutamide [38] and abiraterone [39] in AR-positive TNBC have reported modest clinical benefit, possibly affected by the use of IHC rather than RNA expression for patient selection [40].
TROP-2 is highly expressed in the majority of TNBC (>85%), however TROP-2 expression is not currently used as a predictive biomarker for patient selection in clinical practice [41].
2.3 The Tumour Microenvironment and Therapeutic Implications
The tumour microenvironment (TME) of TNBC is uniquely dynamic and exerts a profound influence on treatment responsiveness. TNBC harbours the highest density of tumour-infiltrating lymphocytes (TILs) of all breast cancer subtypes, with high stromal TIL levels (>50%) identified in approximately 20–25% of cases [42]. TIL density is both prognostic for survival and predictive of response to chemotherapy and immunotherapy [43]. The predictive value of TILs for ICI benefit is particularly evident in the context of PD-L1 co-expression, and tumours with high TIL density and PD-L1 positivity represent the immunological phenotype most likely to benefit from checkpoint blockade [44].
Tumour-associated macrophages (TAMs) constitute a major TME component in TNBC and exist along a spectrum from pro-inflammatory M1 to immunosuppressive M2 phenotypes. M2-polarised TAMs, characterised by expression of CD163, CD206, and secretion of IL-10 and TGF-β, promote tumour invasion, angiogenesis, and immune evasion, and are associated with poorer clinical outcomes [45]. The ratio of M1 to M2 TAMs within the TME has been proposed as a prognostic and predictive biomarker with high M2 TAM infiltration correlating with resistance to both chemotherapy and immunotherapy [46]. Strategies modulating TAM polarisation, including CSF1R inhibitors, CD47 blockade, and TGF-β pathway inhibition, are under active investigation as combination partners for established therapies [47,48,49].
Cancer-associated fibroblasts (CAFs) contribute to the desmoplastic stroma that characterises a subset of TNBC, creating a physical barrier to drug penetration and secreting immunosuppressive cytokines including CXCL12, which excludes cytotoxic T lymphocytes from the tumour core [50]. Neutrophil infiltration, particularly tumour-associated neutrophils (TANs) with an N2 phenotype, further contributes to immune suppression and has been associated with worse outcomes in metastatic TNBC [51]. The interplay between these cellular components underscores the complexity of TME-directed therapeutic strategies and the rationale for combinatorial approaches targeting both the tumour cell and its immunological niche.
3.1 Chemotherapy as the Therapeutic Backbone
For the majority of the past three decades, cytotoxic chemotherapy represented the sole systemic therapeutic option for metastatic TNBC. The backbone agents including anthracyclines (doxorubicin, epirubicin), taxanes (paclitaxel, docetaxel, nab-paclitaxel), and platinum compounds (carboplatin, cisplatin), were extrapolated from broader metastatic breast cancer experience and applied sequentially in the metastatic setting [52]. The clinical benefit of each agent in TNBC was established through retrospective subset analyses and relatively modest prospective data (Table 1).
Table 1: Standard Chemotherapy Regimens for Metastatic TNBC.
| Regimen | Setting | ORR | mPFS | mOS | Key Trial/Clinical Notes |
|---|---|---|---|---|---|
| Taxanes (paclitaxel, docetaxel, nab-paclitaxel) | 1L/2L | 25–35%* | 5–7 m* | ~12-15 m* | Common chemoimmunotherapy backbone (KEYNOTE-355: nab-paclitaxel, paclitaxel; IMpassion130: nab-paclitaxel). Peripheral neuropathy key cumulative toxicity |
| Gemcitabine + carboplatin | 1L/2L | 32-44%a | 4.1–6.0 ma | ~11-13 ma | Common chemoimmunotherapy backbone (KEYNOTE-355, ASCENT-03, ASCENT-04 control arms). Carboplatin has enhanced activity in gBRCA-mutated disease |
| Anthracyclines (doxorubicin, epirubicin; AC/EC/FEC) | 1L (if anthracycline-naïve) | 20–30%* | 6–8 m* | ~16-18 m* | Rarely used in contemporary metastatic practice given widespread prior (neo)adjuvant exposure. Cumulative cardiotoxicity limits lifetime dosing. Relevant for patients with de novo metastatic disease who have not received prior anthracyclines |
| Capecitabine | 2L+ | 15–29%* | 3–5 m* | ~13 m* | Modest response rates in heavily pretreated disease. Commonly used as TPC comparator (OlympiAD, EMBRACA, KEYNOTE-119). Useful in patients with residual neuropathy limiting taxane use |
| Eribulin | 2L+ | 11–30%* | 2.7–4.1 mb | 12.9 mb | Common TPC comparator. Relatively lower neuropathy compared with taxanes |
| Vinorelbine | 2L+ | 4-10%* | 1.4–3 m* | ~6-10 m* | Modest activity in pretreated disease; used as TPC comparator (OlympiAD, EMBRACA). Oral formulation available. Less neuropathy than taxanes. |
| Gemcitabine (single agent) | 2L+ | 12–17%* | 3–4 m* | ~8-11 m* | Modest monotherapy activity; preferred in patients with residual neuropathy or inability to tolerate taxanes or platinum combinations. Commonly used as TPC option |
Anthracycline agents historically demonstrated modest single-agent activity in metastatic breast cancer overall, with response rates in the range of 30–40%, with subgroup analyses in metastatic TNBC suggesting ORRs in the first-line setting generally lie within the 20–30% range [53]. Taxanes similarly demonstrated ORRs of 25–35%, with weekly paclitaxel offering superior tolerability compared with three-weekly schedules [54]. Combination with the VEGF-A monoclonal antibody, bevacizumab, improved response rate and PFS [55] but not overall survival [56]. Nab-paclitaxel (albumin-bound paclitaxel) demonstrated particular relevance in TNBC in the neoadjuvant setting, and the GeparSepto trial showed superior pathological complete response (pCR) rates with nab-paclitaxel compared with paclitaxel, particularly in TNBC [57]. In combination, anthracycline-taxane doublets formed the basis of standard NACT regimens.
Platinum agents have particular relevance in TNBC given the high prevalence of BRCA1/2 mutations and underlying HRD. In the neoadjuvant setting, the phase III BrighTNess trial demonstrated that adding carboplatin to paclitaxel followed by doxorubicin/cyclophosphamide significantly improved pCR rates (58% vs. 31%, p < 0.0001) [58]. Similarly, the GeparSixto trial reported significantly improved pCR rates with the addition of carboplatin to an anthracycline-taxane backbone in TNBC [59], leading to standard incorporation of carboplatin into neo-adjuvant regimens. In the metastatic setting, retrospective analyses suggest platinum compounds may be particularly effective in tumours with BRCA1/2 mutations. The TNT trial, a randomised phase III study, showed that carboplatin conferred higher ORRs than docetaxel specifically in patients with germline BRCA1/2-mutated metastatic breast cancer (68% vs. 33%, p = 0.03), informing current treatment algorithms that favour platinum in this subgroup [60]. Later-line systemic options such as capecitabine and eribulin are widely used in metastatic TNBC. The phase III EMBRACE trial established an OS benefit for eribulin monotherapy compared with treatment of physician’s choice in heavily pretreated breast cancer, including a TNBC subgroup (13.1 vs. 10.6 months; HR 0.81, 95% CI 0.67–0.96; p = 0.041) [61].
3.2 Limitations of Conventional Chemotherapy
Despite representing the standard of care for decades, conventional chemotherapy in metastatic TNBC is characterised by several critical limitations. The durability of response is modest, median PFS with first-line chemotherapy regimens rarely exceeds 6–8 months, and acquired resistance develops almost universally [8]. The mechanisms of chemotherapy resistance in TNBC are multifaceted, encompassing overexpression of drug efflux pumps (P-glycoprotein/ABCB1), upregulation of anti-apoptotic proteins (BCL-2, BCL-XL), enrichment of cancer stem cell populations, and alterations in the TME that promote immune evasion and drug sequestration [62]. These resistance mechanisms accumulate with successive lines of therapy, explaining the progressively diminishing response rates observed across treatment lines.
Cumulative toxicity represents an additional constraint. Anthracycline-associated cardiotoxicity limits total lifetime dosing, and patients with prior anthracycline exposure in the (neo)adjuvant setting often cannot receive further anthracycline therapy in the metastatic setting [63]. Taxane-induced peripheral neuropathy causes significant and often irreversible functional impairment, particularly limiting in a young patient population [64]. Platinum-associated nephrotoxicity, myelosuppression, and neurotoxicity further limit dosing and duration of therapy. The cumulative impact of these toxicities on quality of life (QoL) is substantial and, until recently, had to be weighed against modest and time-limited clinical benefits.
4 Immunotherapy in Triple-Negative Breast Cancer
4.1 Pivotal Trials in First-Line Setting
The incorporation of ICIs into the therapeutic landscape of metastatic TNBC represents a major advance, although meaningful benefit remains largely restricted to biomarker-selected populations and specific disease settings. Among available biomarkers, PD-L1 expression remains the only clinically validated predictive marker in the first-line metastatic setting. Assay selection and scoring methodology differ materially across pivotal trials, complicating cross-study comparisons. IMpassion130 defined PD-L1 positivity using the SP142 assay with immune-cell (IC) staining ≥1%, whereas KEYNOTE-355 employed the 22C3 assay and combined positive score (CPS), with the most pronounced benefit observed in tumours with CPS ≥10 [15,16,44,65]. Despite differences in methodology, both trials consistently demonstrated that clinically meaningful benefit from chemo-immunotherapy is largely confined to PD-L1-positive disease in the first line setting.
The phase III IMpassion130 trial (NCT02425891) provided proof-of-concept for ICIs in metastatic TNBC. In patients with PD-L1-positive tumours (IC ≥1%), the addition of the anti-PD-L1 antibody, atezolizumab, to nab-paclitaxel significantly improved PFS, with a median of 7.5 months versus 5.0 months for chemotherapy alone (HR 0.62; 95% CI 0.49–0.78; p < 0.001) [16]. A clinically meaningful OS improvement was also observed in this subgroup, with median OS of 25.4 versus 17.9 months (HR 0.67; 95% CI 0.53–0.86), although this did not reach formal statistical significance given the hierarchical testing design [65]. These findings provided the conceptual and regulatory basis for first-line chemo-immunotherapy in PD-L1 selected disease. In contrast, in IMpassion131 (NCT03125902), atezolizumab combined with paclitaxel failed to improve PFS in the PD-L1-positive population (HR 0.82; 95% CI 0.60–1.12; p = 0.20) or OS [66].
The discordant results between IMpassion130 and IMpassion131 have not been definitively explained. Routine corticosteroid premedication required with paclitaxel has been proposed as a potential immunosuppressive confound, though this hypothesis is not supported by subgroup analysis of KEYNOTE-355 (NCT02819518), in which no reduction in efficacy was observed in patients who received paclitaxel with pembrolizumab [67]. Additional proposed explanations include differences in baseline patient characteristics between the two trials and intrinsic pharmacological differences between nab-paclitaxel and solvent-based paclitaxel in the tumour immune microenvironment, raising the possibility that the atezolizumab-paclitaxel combination has inferior immunostimulatory activity. KEYNOTE-355 ultimately established pembrolizumab plus chemotherapy as the preferred first-line regimen for PD-L1-positive (CPS ≥10) metastatic TNBC, reporting a significant improvement in median PFS in patients with PD-L1 CPS ≥10, (9.7 months versus 5.6 months with chemotherapy alone, HR 0.65; 95% CI 0.49–0.86; p = 0.0012), and OS, (median 23.0 versus 16.1 months, HR 0.73; 95% CI 0.55–0.95; p = 0.0185) [67]. Benefit was attenuated at lower CPS thresholds, reinforcing the need for rigorous PD-L1 assessment prior to treatment selection. Notably, atezolizumab plus nab-paclitaxel received accelerated approval from the FDA based on IMpassion130 but was later withdrawn after IMpassion131 failed to confirm an OS benefit, whereas the European Medicines Agency continues to maintain approval in this setting for patients with PD-L1-positive tumours (IC ≥1%). Key clinical trials of ICIs in metastatic TNBC can be found in Table 2. Combination trials of ICIs with ADCs can be found in Table 3.
Table 2: Key Clinical Trials of Immune Checkpoint Inhibitors in Metastatic TNBC.
| Trial | Treatment Arms | PDL1 | Line | ORR (PD-L1+) | mPFS (PD-L1+) | mOS (PD-L1+) | Approval Status |
|---|---|---|---|---|---|---|---|
| IMpassion130 (NCT02425891) | Atezo + nab-P vs. Pbo + nab-P | IC ≥ 1% (SP142) | 1L | 59% v 43% | 7.5 v 5.0 m (HR 0.62) | 25.4 vs. 17.9 m (HR0.67ª) | FDA accelerated approval 2019 IC≥1% (withdrawn 2021); EMA approval maintained |
| IMpassion131 (NCT03125902) | Atezo + paclitaxel vs. Pbo + paclitaxel | IC ≥ 1% (SP142) | 1L | 63% vs. 55% | 6.0 vs. 5.7 m (HR 0.82) | 22.1 vs. 28.3 m (HR 1.11) | Negative trial |
| KEYNOTE-355 (NCT02819518) | Pembro + CT vs. Pbo + CT (paclitaxel, nab-paclitaxel, gemcitabine/carboplatin) | CPS ≥ 10 (22C3) | 1L | 53% vs. 40% | 9.7 vs. 5.6 m (HR 0.65) | 23.0 vs. 16.1 m (HR 0.73) | FDA/EMA approved (CPS ≥10) |
| KEYNOTE-119 (NCT02555657) | Pembro mono vs. CT (capecitabine, eribulin, vinorelbine, gemcitabine) | CPS ≥ 1/≥ 10 (22C3) | 2L/3L | 9.6% (ITT) b | Not formally tested b | CPS ≥ 10: 12.7 vs. 11.6 m (HR 0.78)b | Negative trial |
| KEYNOTE-086 (Cohort B) (NCT02447003) | Pembro monotherapy (single-arm) | CPS ≥ 1 (22C3) | 1L | 23% | 2.1 m | 16.1 m | No regulatory approval in 1L |
| TORCHLIGHT (NCT03777579) | Toripalimab + nab-P vs. Pbo + nab-P | CPS ≥ 1 (JS311) | 1L | 66% vs. 68% | 8.4 vs. 5.6 m (HR 0.65) | 32.8 vs. 19.5 m (HR 0.62) | Approved in China only |
4.2 PD-L1 Inhibition in Later Lines
The role of single-agent ICI in previously treated metastatic TNBC is limited. The phase III KEYNOTE-119 study (NCT02555657) evaluated pembrolizumab monotherapy versus treatment of physicians choice (TPC) single-agent chemotherapy in patients with two or more prior lines of therapy for metastatic disease [68]. The trial did not meet its primary endpoint: OS was not improved in the overall population (HR 0.97; 95% CI 0.82–1.15; p = 0.74), and although a trend toward benefit was observed in the CPS ≥10 subgroup (HR 0.78; 95% CI 0.57–1.06; p = 0.057), this did not achieve statistical significance. Notably, the ORR with pembrolizumab monotherapy was only 9.6% in the overall population. This figure is consistent with earlier phase II data from KEYNOTE-086 cohort A, in which single-agent pembrolizumab yielded an ORR of 5.3% (95% CI 2.7–9.9%) in previously treated TNBC, with no meaningful enrichment by PD-L1 status [69]. Together, these data indicate that the predictive utility of PD-L1 expression is substantially attenuated in the pretreated setting, and that single-agent PD-L1 blockade beyond the first line produces clinically meaningful responses in only a small minority of patients.
Response patterns across trials therefore reveal a consistent gradient of benefit according to line of therapy and the greatest efficacy is observed when ICI is introduced in the first-line metastatic setting in PD-L1-positive disease, with activity diminishing progressively in later lines. This potentially reflects depletion of tumour-reactive T-cell clones, progressive immunological attrition, and remodelling of the tumour microenvironment toward an immunosuppressed phenotype with successive cytotoxic exposures.
Adaptive resistance mechanisms further constrain ICI activity in later lines of therapy, including upregulation of alternative immune checkpoint receptors (e.g., TIM-3, LAG-3, TIGIT), expansion of immunosuppressive myeloid-derived suppressor cell populations, and progressive stromal remodelling toward an immune-excluded phenotype [70].
Beyond PD-L1, an exploratory biomarker analysis from KEYNOTE-119 identified tumour mutational burden (TMB) as a potentially informative predictive variable. Among patients with TMB ≥10 mutations/Mb, a trend toward improved ORR and OS with pembrolizumab was observed, though patient numbers were small and findings were not formally hypothesis-tested [71]. This observation supports the routine use of comprehensive genomic profiling, including TMB quantification, in patients with metastatic TNBC, as a biologically distinct subset may retain sensitivity to checkpoint blockade irrespective of line of therapy. It should be noted, however, that high TMB (defined as ≥10 mutations/Mb) is uncommon in breast cancer overall, occurring in approximately 5% of cases, though is somewhat enriched in TNBC [72]. Tumour-agnostic FDA approval for pembrolizumab in TMB ≥10 solid tumours was based on KEYNOTE-158 pan-tumour data rather than randomised evidence in breast cancer specifically.
A clinically important and biologically distinct subgroup comprises patients who relapse early following prior curative-intent treatment. The phase III IMpassion132 trial (NCT03371017) enrolled patients with advanced TNBC relapsing within 12 months of completion of surgery or systemic therapy and randomly assigned them to first-line chemotherapy (carboplatin/gemcitabine or capecitabine) with or without atezolizumab [73]. This trial was conducted largely before (neo)adjuvant immunotherapy became standard practice. With a median follow-up of 9.8 months, no improvement was observed in the primary endpoint of OS in the PD-L1-positive population (median 12.1 versus 11.2 months; HR 0.93; 95% CI 0.73–1.20; p = 0.59), despite numerically higher objective response rates (40% versus 28%) and a longer median duration of response (6.6 versus 4.1 months) in the atezolizumab arm [73]. Median PFS was approximately 4 months across treatment arms, underscoring the generally treatment-refractory nature of this disease subset. These data indicate that early-relapsing TNBC represents an immune-resistant microenvironment, which significantly restricts the activity of current chemo-immunotherapy combination strategies.
Transcriptomic analyses have shed light on the underlying resistance biology. Compared with non-relapsing TNBC, both rapidly relapsing (rrTNBC) and late-relapsing (lrTNBC) tumours harbour substantially lower immune gene signatures, which correlate strongly with inferred anti-tumour immune cell populations including CD8+ T cells, M1 macrophages, and memory B-cells on CIBERSORT analysis [74]. Early-relapsing tumours are enriched for basal-like molecular features, carry a higher prevalence of TP53 mutations, and are characterised by low baseline TIL density, impaired antigen presentation machinery, and interferon signalling pathway dysregulation‚ collectively consistent with primary immune resistance. Intriguingly, late-relapsing tumours show relative enrichment of luminal gene expression signatures, suggesting a biologically and immunologically distinct phenotype [74]. There remain limited prospective data to guide the use of ICIs in patients who have experienced rapid relapse following prior ICI-containing regimens, and this is an area of active clinical and translational investigation.
Given the limitations of PD-(L)1 monotherapy and chemo-immunotherapy in PD-L1-negative and early-relapsing disease, combinatorial strategies are under active investigation to broaden immunological benefit and circumvent known resistance mechanisms. Several mechanistically distinct approaches have demonstrated promising preliminary activity which will be discussed later in this review.
The safety profile of ICI-based therapy in TNBC is broadly consistent with experience in other solid tumours. The addition of checkpoint inhibitors to chemotherapy increases the incidence of immune-related adverse events (irAEs), including thyroid dysfunction, immune-mediated hepatitis, colitis, pneumonitis, and dermatological toxicities. Across phase III studies, grade 3 treatment-related adverse events were more frequent in combination arms, though excess toxicity was predominantly immune-mediated rather than cytotoxic in nature [15,16].
5.1 Mechanism of Action and Rationale in TNBC
ADCs are designed to deliver cytotoxic small-molecule payloads selectively to tumour cells via a tumour-associated antigen-targeting monoclonal antibody. Each ADC comprises three functional elements: an antigen-targeting antibody, a cytotoxic payload, and a chemical linker that connects them and governs payload release kinetics. After binding to the target antigen on the tumour cell surface, receptor-mediated endocytosis internalises the ADC-antigen complex. Subsequent lysosomal processing releases the active payload intracellularly, where it induces DNA damage or disrupts the mitotic apparatus depending on its mechanism of action. The theoretical advantage over conventional cytotoxic chemotherapy lies in the selective delivery of high local payload concentrations within the tumour cell, though off target toxicity and acquired resistance remain clinically relevant limitations [75].
A critical pharmacological property that distinguishes modern ADCs from earlier iterations is the bystander killing effect. Agents employing membrane-permeable payloads release their payload intracellularly following linker cleavage, after which the membrane-permeable drug diffuses into adjacent tumour cells regardless of antigen expression status. This bystander effect allows ADCs to partially mitigate the impact of intra-tumoural antigen heterogeneity, a property of particular relevance in TNBC, which is characterised by marked genomic and proteomic heterogeneity [23,76,77].
Several biological features of TNBC provide a strong rationale for ADC-based therapeutic strategies. First, trophoblast cell-surface antigen 2 (Trop2), a transmembrane calcium-signal transducer encoded by the TACSTD2 gene, is overexpressed in approximately 85% of TNBC tumours and is associated with increased tumour aggressiveness and inferior prognosis, rendering it a broadly applicable and clinically validated ADC target across the TNBC population [78]. Second, TNBC is defined by the absence of ER, PR, and HER2 overexpression/amplification, which precludes patients from established endocrine and HER2-directed therapy and makes exploitation of alternative surface antigens therapeutically imperative. Third, the recognition that a substantial proportion of historically HER2-negative TNBC tumours express low (immunohistochemistry [IHC] 1+ or 2+/in situ hybridisation [ISH]-negative) or ultralow (IHC >0 but <1+) levels of HER2 protein has opened an additional layer of targetability with the highly potent HER2-targeted ADC, trastuzumab deruxtecan (T-DXd) [18]. Finally, preclinical and clinical data increasingly support the capacity of Topo I inhibitor-based ADC payloads to induce immunogenic cell death (ICD), characterised by danger signal release, calreticulin surface exposure, and dendritic cell activation, thereby providing a mechanistic rationale for their combination with ICIs [79].
Over the past decade, ADCs have produced the most clinically meaningful survival improvements in heavily pretreated TNBC and given attrition between treatment lines in metastatic TNBC, where approximately half of patients do not receive second-line therapy, there is substantial interest in moving ADCs into the first line setting. Table 3 summarises the key clinical trials of ADCs in metastatic breast cancer.
Table 3: Summary of Key ADC Clinical Trials in Metastatic TNBC.
| Agent | Target/Payload | Trial (NCT) Phase | Treatment Arms | Setting | PD-L1 Eligibility | Key Outcomes | Status |
|---|---|---|---|---|---|---|---|
| Sacituzumab govitecan (SG) | Trop2/SN-38 | ASCENT (NCT02574455) III | SG vs. CT (eribulin, vinorelbine, capecitabine, gemcitabine) | ≥2L mTNBC | Unselected | mPFS 5.6 vs. 1.7 m (HR 0.41); mOS 12.1 vs. 6.7 m (HR 0.48); ORR (35% vs. 5%) | FDA/EMA approved |
| ASCENT-03 (NCT05382299) III | SG vs. CT (paclitaxel, nab-paclitaxel, or gemcitabine/carboplatin) | 1L mTNBC DFI ≥ 6 m | PD-L1-negative or ICI-ineligible | mPFS 9.7 vs. 6.9 m (HR 0.62); mOS 21.5 vs. 20.2 m (immature); ORR 48% vs. 46% | ESMO 2025, NEJM 2025 | ||
| ASCENT-04/KEYNOTE-D19 (NCT05382286) III | SG + pembro vs. CT + pembro (paclitaxel, nab-paclitaxel, or gemcitabine/carboplatin) | 1L mTNBC | PD-L1-positive (CPS ≥ 10) | mPFS 11.2 vs. 7.8 m (HR 0.65); mOS immature (HR 0.89); ORR 60% vs. 53% | ASCO 2025, NEJM 2026 | ||
| Datopotamab deruxtecan (Dato-DXd) | Trop2/DXd | TROPION-PanTumor01 (NCT03401385) I | Dato-DXd monotherapy | ≥1L mTNBC | Unselected | ORR ~30% | Basis for further development |
| TROPION-Breast02 (NCT05374512) III | Dato-DXd vs. CT (paclitaxel or nab-paclitaxel if taxane-naïve/DFI >12 mo; carboplatin, eribulin, or capecitabine if prior taxane and DFI ≤12 mo) | 1L mTNBC (Any DFI, <12 m ≤20%) | PD-L1-negative or ICI-ineligible | mPFS 10.8 vs. 5.6 m (HR 0.57); mOS 23.7 vs. 18.7 m (HR 0.79); ORR 62.5% vs. 29.3% | ESMO 2025 | ||
| BEGONIA (NCT03742102) Ib/II | Dato-DXd + durva | 1L mTNBC | Unselected | ORR ~79% (TNBC cohort) | Supports phase III TROPION-Breast05 | ||
| TROPION-Breast05 (NCT06103864) III | Dato-DXd + durva vs. CT (paclitaxel, nab-paclitaxel, or gemcitabine/carboplatin) + pembro | 1L mTNBC | PD-L1-positive (CPS ≥10) | Ongoing | Ongoing | ||
| ESG401 (OQY-3258) | Trop2/SN-38 | Epitome-001 (NCT04892342) Ia/Ib | ESG401 | 1L and pretreated mTNBC | Unselected | 1L TNBC ORR 85%; intracranial ORR 41% in HER2-neg (including HR+) BM cohort | ESMO 2024/ESMO Open 2025 |
| Sacituzumab tirumotecan (Sac-TMT, MK-2870/SKB264) | Trop2/KL610023 | OptiTROP-Breast01 (NCT05347134) III | Sac-TMT vs. CT (eribulin, capecitabine, gemcitabine, vinorelbine) | ≥2L mTNBC | Unselected | mPFS 6.7 vs. 2.5 m (HR 0.32); mOS NE vs. 9.4 m (HR 0.53); ORR 45.4% vs. 12.0% | Approved China |
| Ladiratuzumab vedotin (LV) | LIV-1/MMAE | SGNLVA-001 (NCT01969643) I | LV | Pretreated mTNBC | Unselected | ORR 32%; mPFS 11.3 wks | Manageable toxicity |
| SGNLVA-002 (NCT03310957) Ib/II | LV + pembro | 1L mTNBC | PD-L1-unselected (Part D: CPS < 10) | ORR ~54% | Early interim data | ||
| Patritumab deruxtecan (HER3-DXd) | HER3/DXd | NCT02980341 I/II | HER3-DXd | Pretreated mTNBC | PD-L1 unselected | Early activity | Ongoing |
| Trastuzumab deruxtecan (T-DXd) | HER2/DXd | DESTINY-Breast04 (NCT03734029) III | T-DXd vs. CT (capecitabine, eribulin, vinorelbine, or gemcitabine) | Pretreated HER2-low mBC | Unselected | In TNBC cohort: mPFS 8.5m vs. 2.9 m (HR 0.46); mOS 18.2 vs. 8.3m (HR 0.48) | FDA/EMA approved HER2-low |
| DESTINY-Breast15 (NCT05950945) IIIb | T-DXd monotherapy | Pretreated HER2-low or HER2-0 mBC | Unselected | Ongoing | Ongoing | ||
| Disitamab vedotin (RC48/DV) | HER2/MMAE | SGNDV-004 (NCT06157892) Ib/II | DV + tucatinib | Pretreated HER2-low or HER2-expressing mBC | Unselected | Ongoing | Ongoing |
Sacituzumab govitecan (SG; Trodelvy) is a Trop2-directed ADC incorporating a humanised anti-Trop2 IgG1 monoclonal antibody conjugated to SN-38 via a proprietary pH-sensitive, hydrolysable carbonate linker at a drug-to-antibody ratio (DAR) of approximately 7.6. The relatively labile nature of the linker enables not only intracellular payload release following lysosomal processing, but also a degree of extracellular payload release within the tumour microenvironment, which contributes to bystander activity whilst simultaneously generating a modest systemic SN-38 exposure that may underlie some off-target toxicities, notably diarrhoea [80].
The ASCENT trial (NCT02574455) was a global, open-label, randomised phase III study that enrolled 468 patients with relapsed or refractory metastatic TNBC who had received at least two prior lines of systemic therapy, with at least one in the metastatic setting. Participants were randomised 1:1 to SG (10 mg/kg intravenously on days 1 and 8 of each 21-day cycle) or TPC single-agent chemotherapy (eribulin, vinorelbine, capecitabine, or gemcitabine). SG demonstrated a statistically significant and clinically meaningful improvement in both primary and secondary endpoints: median PFS was 5.6 versus 1.7 months (HR 0.41; 95% CI 0.32–0.52; p < 0.001) and median OS was 12.1 versus 6.7 months (HR 0.48; 95% CI 0.38–0.59; p < 0.001), with an ORR of 35% versus 5% in favour of SG. The PFS benefit was consistent across all predefined subgroups, including patients who had received prior ICI therapy [17]. On the basis of these results, SG received full FDA approval in April 2021 and EMA approval for patients with metastatic TNBC who have received at least two prior therapies.
Patients with stable CNS disease were included in ASCENT, although were not part of the primary endpoint population. Unfortunately, little benefit (ORR 3.0%, median PFS 2.8 months) was seen in these patients on sub-group analysis [81].
5.2.1 First-Line Development Sacituzumab Govitecan: PD-L1-Negative/ICI-Ineligible
ASCENT-03 (NCT05382299) is a randomised, open-label, phase III trial designed to evaluate SG versus TPC chemotherapy as first-line therapy for patients with previously untreated, locally advanced unresectable or metastatic TNBC who are ineligible for ICI-based regimens. Ineligibility for ICI was defined as PD-L1 negativity or otherwise unsuitable for ICI due to autoimmune contraindications, organ transplantation, or other clinical reasons. Approximately 60% of metastatic TNBC patients fall into this category and currently lack any approved ICI option. An important eligibility criterion was a disease-free interval (DFI) of at least 6 months from the completion of curative-intent (neo)adjuvant therapy for patients with recurrent disease, thereby selecting a population with a less immediately chemotherapy-refractory phenotype. De novo stage IV disease was also eligible. The trial permitted crossover from the TPC arm to SG upon disease progression.
Primary results demonstrated a statistically significant improvement in PFS with SG versus TPC chemotherapy which was most commonly gemcitabine/carboplatin (median PFS 9.7 versus 6.9 months; HR 0.62; p < 0.001). OS data were immature at the time of primary analysis, and the high crossover rate (82% of patients in the chemotherapy arm who received subsequent therapy received SG) will inevitably complicate future OS interpretation. ORR was comparable between arms (48% versus 46%), but duration of response was substantially longer with SG (median DOR 12.2 versus 7.2 months). This trial represents the first prospective randomised evidence supporting an ADC over chemotherapy in the first-line PD-L1-negative metastatic TNBC population [19].
5.2.2 First-Line Development Sacituzumab Govitecan: PD-L1-Positive
ASCENT-04/KEYNOTE-D19 (NCT05382286) was a global, randomised, phase III trial evaluating SG in combination with pembrolizumab versus pembrolizumab in combination with chemotherapy (paclitaxel, nab-paclitaxel, or gemcitabine plus carboplatin) as first-line therapy for patients with PD-L1-positive (CPS ≥ 10) locally advanced unresectable or metastatic TNBC. A total of 443 patients were randomised, and again, protocol-specified crossover to single-agent SG was permitted for patients in the chemotherapy arm upon disease progression.
Primary results demonstrated a statistically significant improvement in PFS with SG plus pembrolizumab versus chemotherapy plus pembrolizumab (median PFS 11.2 versus 7.8 months; HR 0.65; 95% CI 0.51–0.84; p < 0.001) at a median follow-up of 14 months. ORR (60% versus 53%) and median DOR (16.5 versus 9.2 months) also favoured the SG combination arm. Notably, the median PFS in the standard arm was shorter than the 9.7 months reported in Keynote-355. OS data were immature at the primary analysis, though an early directional trend in favour of SG plus pembrolizumab was noted despite crossover. The safety profile was consistent with the known profiles of individual agents; grade ≥3 treatment-emergent adverse events (TEAEs) occurred in 66% versus 62% of patients in the respective arms. These data support SG plus pembrolizumab as a potential new standard of care for first-line PD-L1-positive metastatic TNBC, though at the time of writing this article it has not yet been FDA approved [20].
Datopotamab Deruxtecan (Dato-DXd) is also a Trop2-directed ADC incorporating a humanised anti-Trop2 IgG1 monoclonal antibody conjugated via a stable tetrapeptide-based cleavable linker to the exatecan-derived Topo I inhibitor DXd, at a DAR of 4. Compared with SG, the tetrapeptide linker of Dato-DXd is characterised by greater plasma stability, resulting in reduced extracellular payload release and a lower rate of haematological and gastrointestinal toxicities [82]. However, the DXd payload class carries a distinct toxicity profile dominated by stomatitis/mucositis and interstitial lung disease (ILD), the latter representing the most clinically serious and potentially life-threatening class toxicity requiring active monitoring and prompt intervention when conjugated to a HER2-directed antibody [18]. In contrast, Dato-DXd is associated with a considerably lower rate of ILD but is more commonly complicated by mucositis requiring careful attention to mouth care and ocular toxicity, mostly commonly dry eyes.
The phase I TROPION-PanTumor01 trial (NCT03401385) established the Dato-DXd recommended phase II dose (RP2D) of 6 mg/kg on day 1 of each 21-day cycle and provided initial proof-of-concept data in metastatic TNBC, with single-agent ORR of approximately 30% in heavily pretreated patients, including those with prior platinum and ICI exposure [83].
5.3.1 First-Line Development Datopotamab Deruxtecan: PD-L1-Negative/ICI-Ineligible
TROPION-Breast02 (NCT05374512) is a randomised, open-label, phase III trial comparing Dato-DXd with investigator’s choice of chemotherapy (paclitaxel or nab-paclitaxel if taxane-naïve/DFI > 12 months, or capecitabine, carboplatin, or eribulin monotherapy if prior taxane and DFI ≤ 12 months) as first-line therapy for patients with locally recurrent inoperable or metastatic TNBC for whom immunotherapy was not an option. Unlike ASCENT-03, TROPION-Breast02 did not impose a minimum DFI criterion, thereby enrolling a broader population that included patients with rapidly relapsing disease (DFI <12 months), who were capped at a maximum of 20% of the total enrolment. Patients with stable brain metastases were also eligible, an important distinction from ASCENT-03.
Median PFS was 10.8 months with Dato-DXd versus 5.6 months with chemotherapy (HR 0.57; 95% CI 0.47–0.69; p < 0.0001), and median OS was 23.7 versus 18.7 months (HR 0.79; 95% CI 0.64–0.98; p = 0.029), the latter representing the first statistically significant OS benefit demonstrated in first-line ICI-ineligible metastatic TNBC in a phase III setting. Notably, unlike ASCENT-03, crossover to the ADC was not permitted and combination chemotherapy was not allowed as the standard arm. ORR was 62.5% versus 29.3% and median DOR was 12.3 versus 7.1 months in favour of Dato-DXd [22]. The grade ≥3 treatment-related adverse event (TRAE) rate was similar between arms (33% versus 29%), and fewer patients discontinued Dato-DXd than chemotherapy due to TRAEs (4% versus 7%) [22]. TROPION-Breast02 is now considered a potential paradigm-shifting trial that may establish Dato-DXd as a new first line standard of care option in this population.
Cross-trial comparison of ASCENT-03 and TROPION-Breast02 is instructive but requires careful interpretation given important design differences. TROPION-Breast02 enrolled a higher-risk population by virtue of its DFI-unrestricted eligibility and inclusion of patients with brain metastases, factors likely associated with poorer prognosis. The chemotherapy backbone comparators also differed between trials, and the high crossover rate in ASCENT-03 may confound future OS data from that study. The distinct toxicity profiles of SG and Dato-DXd may also inform agent selection in individual patients.
5.3.2 First-Line Development Datopotamab Deruxtecan: PD-L1-Positive
The BEGONIA trial (NCT03742102) is a phase Ib/II platform study evaluating Dato-DXd in combination with durvalumab (anti-PD-L1) as first line therapy for patients with locally advanced or metastatic TNBC. Early efficacy data from the TNBC cohort demonstrated an ORR of approximately 79%, with a durable response profile across both PD-L1-positive and PD-L1-negative subgroups [84]. These data established the mechanistic and clinical proof-of-concept for ADC plus ICI combinations and supported the initiation of the confirmatory phase III programme.
TROPION-Breast05 (NCT06103864) is a randomised phase III trial evaluating Dato-DXd with or without durvalumab versus chemotherapy plus durvalumab in patients with previously untreated PD-L1-positive mTNBC. This trial directly parallels the ASCENT-04 design but tests the Dato-DXd plus durvalumab combination against the current ICI-chemotherapy standard of care in the PD-L1-positive population. This trial is currently ongoing.
ESG401 (OQY-3258) is a novel Trop2-directed ADC comprising a humanised anti-Trop2 IgG1 monoclonal antibody conjugated to SN-38 via a proprietary serum-stable cleavable linker at a DAR of 8 given as an infusion on days 1, 8, 15 of a 28-day cycle. The key structural distinction from SG is the stability of the linker, which is designed to minimise premature extracellular payload release in circulation, thereby potentially improving the therapeutic index and, critically, enhancing CNS penetration [85].
Early-phase data from the phase Ia/Ib trial (NCT04892342) demonstrated in the first line metastatic TNBC cohort (n = 20), the confirmed ORR was 85%, with a disease control rate (DCR) of 100% and median PFS not yet reached, comparing favourably with BEGONIA and other first-line ADC combination benchmarks. Notably, no cases of ILD were reported across the entire phase I programme, which may reflect the linker stability of ESG401 compared with DXd-class ADCs. The haematological toxicity profile was consistent with SN-38-based agents, with the most common grade ≥3 treatment-related adverse events being neutropenia and leukopenia [86].
Sacituzumab tirumotecan (sac-TMT; MK-2870/SKB264) is a next-generation Trop2-directed ADC that retains the same humanized anti-Trop2 monoclonal antibody scaffold used in SG but features a distinct linker-payload construct designed to enhance stability and pharmacologic properties. Instead of the unstable CL2A linker used in SG, sac-TMT employs a mesyl-sulfonyl-pyrimidine-CL2A-carbonate linker to conjugate KL610023, a belotecan-derived topoisomerase I inhibitor, at an average DAR of approximately 7.4. Belotecan itself is a synthetic camptothecin analogue that is chemically distinct from SN-38, the active metabolite of irinotecan used in SG. This refined linker-payload architecture is intended to improve plasma stability and intracellular release, optimising drug-to-antigen delivery and potentially delivering a differentiated toxicity and pharmacokinetic profile compared with SG [87,88]. Sac-TMT is administered intravenously every two weeks (Q2W) and has received marketing approval in China for adult patients with unresectable locally advanced or metastatic TNBC after at least two prior systemic therapies, and for EGFR-mutant non-small cell lung cancer (NSCLC), making it one of the first Trop2 ADCs approved in lung cancer.
The first-in-human phase I/II study (NCT04152499) established recommended dose of 4 mg/kg and 5 mg/kg Q2W in patients with advanced solid tumours refractory to standard therapies. In the phase II expansion TNBC cohort (n = 59), the ORR was 37% overall (35% at 4 mg/kg; 39% at 5 mg/kg), with a median DOR of 11.5 months and median PFS of 5.7 months, a durable response profile in heavily pretreated patients. Median OS was 15.7 months [88].
The Phase III OptiTROP-Breast01 trial (NCT05347134) conducted in China assessed sac-TMT versus TPC single-agent chemotherapy in patients with locally recurrent or metastatic TNBC who had received two or more prior therapies, including at least one for metastatic disease. The median PFS was 6.7 months (95% CI 5.5–8.0) with sac-TMT versus 2.5 months (95% CI 1.7–2.7) with TPC chemotherapy (HR 0.32; 95% CI 0.24–0.44; p < 0.00001). At the concurrent OS interim analysis, median OS was not reached (95% CI 11.2 months to NE) with sac-TMT versus 9.4 months (95% CI 8.5–11.7) with chemotherapy (HR 0.53; 95% CI 0.36–0.78; p = 0.0005). ORR was 45.4% versus 12.0% (p < 0.00001), and median DOR was 7.1 months (95% CI 5.6-NE) versus 3.0 months (95% CI 2.5-NE) in favour of sac-TMT. PFS benefit was consistent across predefined subgroups. The most common treatment-related adverse event with sac-TMT was haematological toxicity, and the overall safety profile was considered manageable [89].
OptiTROP-Breast05 (NCT05445908) is a phase II study evaluating sac-TMT at 5 mg/kg Q2W as first-line therapy for patients with advanced/metastatic TNBC (any PD-L1 status). Initial results presented at ASCO 2025 support activity in the 1L TNBC setting, with a signal of particular interest in the CPS < 10 (PD-L1-negative) population where current options are most limited [90]. Full efficacy data are awaited.
Ladiratuzumab vedotin (LV; SGN-LIV1A) is an ADC directed against LIV-1 (SLC39A6), a zinc transporter and E-cadherin sheddase that is highly expressed in TNBC and implicated in epithelial-to-mesenchymal transition (EMT) and metastatic progression [91]. LV employs a protease-cleavable linker conjugated to monomethyl auristatin E (MMAE), a potent microtubule-disrupting agent with bystander killing capacity.
Phase I monotherapy data from SGNLVA-001 (NCT01969643) demonstrated single-agent activity in heavily pretreated mTNBC, with an ORR of 32%, CBR of 36%, and median PFS of 11.3 weeks [92]. The predominant toxicities reflected the MMAE payload class which include peripheral neuropathy, neutropenia, fatigue, and alopecia.
SGNLVA-002 (NCT03310957) is a single-arm, open-label phase Ib/II study evaluating LV in combination with pembrolizumab as first line therapy for patients with unresectable locally advanced or metastatic TNBC. The trial is PD-L1 unselected across most cohorts, with Part D specifically enrolling patients with CPS < 10 to address the PD-L1-negative population. Preliminary efficacy data from the combination cohort demonstrated an ORR of approximately 54% in first line metastatic TNBC at a minimum follow-up of 3 months, which compared favourably with chemotherapy-pembrolizumab benchmarks in unselected populations [93,94]. Confirmatory phase III development is under evaluation.
Patritumab deruxtecan (HER3-DXd; U3-1402) is a HER3-directed ADC using the DXd payload and cleavable tetrapeptide linker shared with trastuzumab deruxtecan. HER3 is a pseudokinase receptor tyrosine kinase with the ability to dimerise with EGFR or HER2 and near-universal expression across breast cancer subtypes, including TNBC, with a potential role in acquired resistance to EGFR-targeted, HER2-directed, and cytotoxic therapy [95]. Unlike Trop2 or HER2, HER3 expression is independent of ER/PR/HER2 status, rendering it an attractive pan-subtype TNBC target. The bystander effect of DXd further mitigates the impact of intratumoural HER3 expression heterogeneity.
The phase I/II dose-escalation and expansion trial (NCT02980341) enrolled patients with multiple solid tumour types including metastatic TNBC. Early-phase data demonstrated single-agent activity in heavily pretreated TNBC patients, including those with prior Topo I inhibitor-based ADC exposure [96]. The capacity of patritumab deruxtecan to retain activity in post-SG and post-T-DXd settings is of particular clinical relevance given the likelihood that patients will have been exposed to earlier-line Topo I inhibitor-based ADCs as these agents assume earlier positions in the treatment algorithm. The safety profile is consistent with the DXd class, with ILD as the principal serious adverse event of interest.
The TUXEDO-3 trial demonstrated promising activity for HER3-DXd in patients with leptomeningeal disease, a rare but deadly complication of advanced breast cancer. Six of the 20 study patients had TNBC and the study met its primary endpoint of 3-month overall survival which was 65%. The intracranial response rate was 11.1%, with a 50% intracranial clinical benefit rate [97].
5.8 HER2-Low and HER2-Ultralow Disease
The dichotomous classification of breast cancer as HER2-positive (IHC 3+, or 2+/ISH+) or HER2-negative has been fundamentally challenged by the therapeutic validation of HER2-low disease as a distinct and actionable category. HER2-low is defined as IHC 1+ or IHC 2+/ISH-negative, which is a definition that captures approximately 45–55% of all breast cancers, including ~30% of TNBC tumours [98]. A further subset, designated HER2-ultralow (IHC >0 but <1+, with incomplete or faint membrane staining in any proportion of cells), may account for an additional 10–20% of breast cancers, though precise estimates vary considerably across studies given significant inter-observer variability in identifying this category [99]. The expansion of HER2-directed ADC eligibility to encompass these populations represents a potentially transformative development, bringing the vast majority of the HER2-negative breast cancer population, who were previously ineligible for any HER2-targeted therapy, within the scope of HER2-directed treatment.
Trastuzumab deruxtecan (T-DXd; Enhertu) is an anti-HER2 IgG1 ADC conjugated to DXd via a tetrapeptide cleavable linker at a DAR of 8. Its high DAR, membrane-permeable payload, and bystander effect enable it to exert antitumour activity at HER2 expression levels that are insufficient to support the efficacy of conventional HER2-targeted antibody or kinase-inhibitor therapies [18].
DESTINY-Breast04 (NCT03734029) was a global, randomised, phase III trial enrolling 557 patients with previously treated HER2-low (IHC1+ or 2+/ISH-) metastatic breast cancer who had received one to two prior lines of chemotherapy. Patients were randomised 2:1 to T-DXd (5.4 mg/kg Q3W) or TPC chemotherapy. The primary endpoint was PFS in the HR-positive cohort. Of the enrolled population, 58 patients (10%) had TNBC. In the overall population, T-DXd improved median PFS (9.9 versus 5.1 months; HR 0.50; 95% CI 0.40–0.63; p < 0.001) and median OS (23.4 versus 16.8 months; HR 0.64; 95% CI 0.49–0.84; p = 0.001). Although the TNBC subgroup was underpowered for definitive conclusions, the directional benefit was consistent with the overall population. The ILD rate was 12.1% (any grade) and 0.8% (grade ≥3), with close monitoring protocols mandated [18]. T-DXd received FDA and EMA approval for HER2-low metastatic breast cancer on the basis of DESTINY-Breast04 data.
DESTINY-Breast06 (NCT04494425) subsequently extended the HER2-targeting paradigm to the ultralow expression category in HR-positive metastatic breast cancer, demonstrating significant PFS improvement in the HER2-low population (HR 0.62; median 13.2 vs. 8.1 months; p < 0.0001) with directional benefit in the HER2-ultralow exploratory cohort (HR 0.78) [100], forming the basis for FDA expansion of the T-DXd indication to include HER2-ultralow HR-positive metastatic breast cancer in January 2025. Whether similar benefit extends to TNBC remains under active investigation. DESTINY-Breast15 (NCT05950945) is a phase IIIb study currently evaluating T-DXd in patients with HR-positive or HR-negative (including TNBC) HER2-low or HER2 IHC 0 metastatic breast cancer, which will provide the first prospective data on T-DXd activity across the full spectrum of HER2 expression in TNBC, including patients with no detectable HER2 expression [101].
Disitamab vedotin (RC48) is a HER2-directed antibody-drug conjugate (ADC) comprising a humanised anti-HER2 monoclonal antibody with enhanced binding affinity at lower levels of HER2 expression compared with trastuzumab-based constructs, conjugated to monomethyl auristatin E (MMAE) via a cleavable linker. This design enables activity across HER2-low and selected HER2-expressing tumours. Clinical studies evaluating disitamab vedotin in HER2-low or HER2-expressing metastatic breast cancer, including TNBC subgroups, have demonstrated preliminary antitumour activity, with a toxicity profile consistent with auristatin-based ADCs, notably peripheral neuropathy and neutropenia [102]. Disitamab vedotin may offer a complementary or alternative approach to T-DXd in HER2-low TNBC, particularly in contexts where DXd-class ILD risk represents a clinical concern. A number of clinical trials of monotherapy and combination strategies are underway in HER2 low and HER2-positive advanced breast cancer.
5.9 Safety and Tolerability Considerations of ADCs
The toxicity profiles of ADCs in metastatic TNBC are principally determined by the payload class, modified by the antibody component, and off-target antigen expression and linker stability also contribute. A practical understanding of payload-class toxicities is essential for patient selection, monitoring, and supportive care planning, particularly as patients may be sequentially exposed to multiple ADC agents over their treatment journey.
SN-38-based ADCs, exemplified by SG, are characterised predominantly by haematological toxicity (grade ≥3 neutropenia in approximately 50–65% of patients) and gastrointestinal toxicity. Diarrhoea with SG has a dual aetiology: early-onset cholinergic diarrhoea attributable to SN-38 and a late-onset secretory mechanism; grade ≥3 diarrhoea occurred in 10% of patients in ASCENT and requires proactive antidiarrhoeal prophylaxis. G-CSF prophylaxis is recommended per label. The rate of ILD with SG is very low (<1%), making it a preferable option in patients with underlying pulmonary comorbidities or prior pulmonary toxicity. Alopecia is expected [17].
DXd-based ADCs (T-DXd, Dato-DXd, patritumab deruxtecan) share a class-defining toxicity profile that prominently includes ILD/pneumonitis (especially T-DXd) and stomatitis/mucositis (especially Dato-DXd). ILD is the most serious toxicity and the leading cause of treatment-related fatality associated with this class; it occurs in approximately 10–15% of patients (any grade) with T-DXd and 5% with Dato-DXd, with grade ≥3 events in approximately 2% [103]. All patients initiating DXd-class therapy require mandatory pulmonary monitoring, patient education, and a low threshold for treatment interruption and prompt investigation of respiratory symptoms with high-resolution computed tomography (HRCT) [100]. Stomatitis/mucositis occurs in approximately 55% of patients at any grade with Dato-DXd [103] and again represents a class effect of the DXd payload, but is relatively uncommon with T-DXd and HER3-DXd. This is generally manageable with standard oral hygiene protocols and topical agents. Haematological toxicities are less prominent than with SN-38-based agents. The apparently lower ILD rate with ESG401, with no ILD demonstrated in the phase I trial, may reflect its stable linker design, however, this observation requires prospective validation in larger patient populations. Ocular toxicity appears particular to Dato-DXd.
MMAE-based ADCs (LV, disitamab vedotin) are associated with cumulative dose-dependent peripheral sensory neuropathy, the principal dose-limiting toxicity, along with neutropenia, fatigue, alopecia, and gastrointestinal effects. Peripheral neuropathy requires regular clinical assessment and dose modification per protocol to mitigate long-term morbidity [92].
6 PARP Inhibitors in Advanced TNBC
Poly(ADP-ribose) polymerase inhibitors (PARPi) represent the most clinically established molecularly targeted therapy in metastatic TNBC, with two agents, olaparib and talazoparib, holding regulatory approval (Table 4). Following the landmark OlympiAD and EMBRACA phase III trials, which demonstrated PFS superiority over TPC in germline BRCA1/2-mutated (gBRCA1/2mut) HER2-negative metastatic breast cancer, PARPi have become a standard-of-care option in this genetically defined population [104,105]. Neither trial reported a statistically significant overall survival benefit, at least in part due to crossover.
EMBRACA but not OlympiAD included patients with fully treated CNS disease and reported an enhanced benefit in that sub-group (HR 0.32) [105]. Case reports suggest olaparib also has useful CNS penetration and activity [106].
Critically, the TBCRC-048 trial has since expanded the actionable HRD landscape beyond germline BRCA1/2, establishing somatic BRCA1/2 mutations and germline PALB2 mutations as additional predictive biomarkers of olaparib sensitivity [32].
Table 4: PARP Inhibitor Trials in Advanced TNBC.
| Agent | Trial (NCT) Phase | Treatment Arms | Setting | Patient Selection | Key outcomes | Status/Notes |
|---|---|---|---|---|---|---|
| Olaparib | OlympiAD (NCT02000622) III | Olaparib 300 mg BD vs. CT (capecitabine/eribulin/vinorelbine) | ≤2 prior lines cytotoxic CT mBCa; HER2- | gBRCA1/2mut (~50% TNBC) | PFS 7.0 vs. 4.2 m (HR 0.58); OS 19.3 vs. 17.1 m (HR 0.90, ns); ORR 59.9% vs. 28.8%; | FDA approved 2018 |
| TBCRC-048 Cohort 1 (NCT03188965) II | Olaparib 300 mg BD | ≤2 prior lines cytotoxic CT mBCb; HER2- | gPALB2, gBRIP1, gRAD51C/D, gATM, gCHEK2 | gPALB2 expansion cohort: PFS 9.6 m; ORR 75%; CBR 83% | gPALB2 responses equivalent to gBRCA1/2; ATM/CHEK2 no responses | |
| TBCRC-048 Cohort 2 (NCT03188965) II | Olaparib 300 mg BD | ≤2 prior lines cytotoxic CT mBCb; HER2- | sBRCA1/2mut | PFS 5.6 m; ORR 36.7% | First prospective evidence of PARPi sensitivity in sBRCA1/2 | |
| Talazoparib | EMBRACA (NCT01945775) III | Talazoparib 1 mg OD vs. CT (capecitabine/eribulin/vinorelbine) | ≤3 prior lines cytotoxic CT mBCc; HER2- | gBRCA1/2mut | PFS 8.6 vs. 5.6 m (HR 0.54) OS 19.3 vs. 19.5 m (HR 0.85, ns) ORR 62.6% vs. 27.2% | FDA approved 2018 |
| Veliparib | BROCADE3 (NCT02163694) III | Veliparib + carbo/pac vs. pbo + carbo/pac | ≤2 prior lines cytotoxic CT MBCd; HER2- | gBRCA1/2mut | PFS 14.5 vs. 12.6 m (HR 0.71) OS 32.4 vs. 28.2 m (HR 0.92, ns) ORR 75.8% vs. 74.1% | Not approved |
| Olaparib + Pembrolizumab | KEYLYNK-009 (NCT04191135) II | Pembrolizumab + olaparib vs. pembrolizumab + CT (capecitabine, gemcitabine, or eribulin) (maintenance) | Post-induction 1L mTNBC (after pembro + platinum benefit) | CPS unselected; sBRCA1/2 subgroup exploratory | PFS 5.5 vs. 5.6 m (HR 0.98, ns) OS 25.1 vs. 23.4 m (HR 0.95, ns) | Primary endpoint not met in unselected population sBRCA1/2 subgroup PFS HR 0.70; OS HR 0.81 |
PARP1 and PARP2 are pivotal mediators of single-strand DNA break (SSB) repair via the base excision repair (BER) pathway. PARPi exert cytotoxicity through two mechanisms: catalytic inhibition, preventing SSB repair, and PARP trapping, whereby the inhibitor stabilises the PARP-DNA complex, generating a protein-DNA adduct far more lethal than catalytic inhibition alone [107]. The degree of PARP trapping differs substantially across agents and correlates with clinical efficacy, talazoparib is among the most potent, while veliparib is comparatively weak [108,109]. In cells harbouring pathogenic variants in BRCA1 or BRCA2, which are indispensable for homologous recombination (HR)-mediated DNA double-strand break (DSB) repair, unrepaired DSBs accumulate in the context of PARP inhibition, resulting in mitotic catastrophe and cell death. This principle of synthetic lethality underpins the selective efficacy of PARPi in HR-deficient tumours [110].
6.2 Key Clinical Trials of PARP inhibitors in TNBC
OlympiAD (NCT02000622) is a phase III trial that randomised 302 patients with HER2-negative gBRCA1/2mut metastatic breast cancer (50% TNBC) to olaparib 300 mg twice daily versus TPC (capecitabine, eribulin, or vinorelbine but not carboplatin). Olaparib significantly improved PFS (7.0 vs. 4.2 months; HR 0.58; 95% CI 0.43–0.80; p < 0.001) and ORR (59.9% vs. 28.8%). OS was numerically improved (19.3 vs. 17.1 months) but did not reach statistical significance [104,111].
The EMBRACA trial (NCT01945775) compared talazoparib with TPC in 431 patients with HER2-negative gBRCA1/2mut advanced breast cancer and demonstrated superior PFS (8.6 vs. 5.6 months; HR 0.54; 95% CI 0.41–0.71; p < 0.001), ORR (62.6% vs. 27.2%), and significantly better patient-reported outcomes. OS was not significantly different (19.3 vs. 19.5 months). Both olaparib and talazoparib are FDA-approved in this setting [105].
In the phase III BROCADE3 (NCT02163694) trial, veliparib was added to carboplatin and paclitaxel in 509 patients with gBRCA1/2mut HER2-negative advanced breast cancer. The triplet significantly prolonged PFS versus carboplatin/paclitaxel plus placebo (14.5 vs. 12.6 months; HR 0.71; p = 0.0016). OS was not significantly different at final analysis (32.4 vs. 28.2 months; HR 0.92; p = 0.43), and veliparib has not received regulatory approval in this setting [112].
TBCRC-048 is a landmark phase II single-arm trial that prospectively evaluated olaparib monotherapy in patients with HER2-negative advanced breast cancer harbouring somatic or germline HRR mutations beyond the established gBRCA1/2 indication. The trial enrolled two distinct cohorts: Cohort 1 comprised patients with germline mutations in non-BRCA1/2 HRR genes (gPALB2, gBRIP1, gRAD51C/D, gATM, gCHEK2), and Cohort 2 comprised patients with somatic BRCA1/2 mutations or somatic mutations in other HRR genes [32,113]. Among 27 patients in Cohort 1, the ORR was 33% overall. Critically, activity was strongly concentrated in gPALB2-mutated patients: in the expansion cohort of 24 patients with gPALB2 mutations, the ORR was 75% (95% CI 53–90%) and CBR 83%, with a median PFS of 9.6 months, which approach the efficacy observed in studies of olaparib in gBRCA1/2mut disease [32,113]. By contrast, patients harbouring germline ATM or CHEK2 mutations alone demonstrated no objective responses, establishing an important biomarker boundary within the germline HRR-mutant population. In the 27 patients in Cohort 2, the ORR in somatic BRCA1/2-mutated patients was 50% (95% CI 27–73%), with a median PFS of 6.3 months, demonstrating for the first time that somatic BRCA1/2 mutations confer clinically meaningful sensitivity to PARPi, albeit with somewhat lower and shorter responses compared with germline carriers, although these differences should be interpreted cautiously given small patient numbers and potential biological heterogeneity. In the subsequent 2026 expansion cohort of 30 patients, the ORR was 36.7% and median PFS 5.6 months [113]. Among TNBC patients specifically in Cohort 2, 5 of 10 evaluable patients (50%) responded to olaparib, providing direct evidence of efficacy in the somatic BRCA-mutated TNBC subgroup [32].
TBCRC-048 substantially broadens the biological rationale for PARPi in advanced TNBC by demonstrating that somatic BRCA1/2 mutations, identified through tumour-based next-generation sequencing (NGS) rather than germline testing, predict clinically meaningful sensitivity to olaparib. It also demonstrated that germline PALB2 mutations confer a level of response equivalent to gBRCA1/2, supporting regulatory evaluation of PARPi in this population, but germline ATM and CHEK2 mutations alone are insufficient to predict PARPi response in this biomarker-defined context. These findings provide a compelling rationale for incorporating somatic tumour profiling alongside germline testing in all patients with advanced TNBC being considered for PARPi, substantially expanding the fraction of eligible patients, estimated at an additional 5–8% of advanced TNBC above the gBRCA1/2-defined 15–20% [32].
The phase 2 KEYLYNK-009 trial (NCT04191135) evaluated pembrolizumab plus olaparib as postinduction maintenance therapy against continued pembrolizumab plus chemotherapy in patients with locally recurrent inoperable or metastatic TNBC who had derived clinical benefit from first-line pembrolizumab plus platinum-based chemotherapy induction. Among 271 patients randomised to postinduction therapy, the primary endpoint was not met, median PFS was 5.5 months in the pembrolizumab plus olaparib arm versus 5.6 months in the pembrolizumab plus chemotherapy arm (HR 0.98; 95% CI 0.72–1.33; p = 0.4556), with no difference in overall survival (25.1 vs. 23.4 months; HR 0.95; 95% CI 0.64–1.40). Importantly, however, a positive trend favouring pembrolizumab plus olaparib was observed in the somatic BRCA1/2-mutated subgroup for both PFS (HR 0.70; 95% CI 0.33–1.48) and OS (HR 0.81; 95% CI 0.28–2.37), suggesting a potential chemotherapy-free maintenance strategy warrants further investigation in biomarker-selected populations. Treatment-related adverse events were less frequent in the olaparib combination arm compared with the chemotherapy continuation arm (84.4% vs. 96.2%), highlighting a more favourable tolerability profile despite equivalent efficacy [114]. The negative result from KEYLYNK-009 in the unselected population underscores the critical importance of prospective biomarker-driven patient selection when combining PARP inhibition with immunotherapy in TNBC, and reinforces that the preclinical synergy between these agents does not translate uniformly across an unselected patient population.
7 HER2 (ERBB2) Mutations in HER2 Non-Amplified TNBC
HER2 missense mutations occur in approximately 2–5% of TNBC in the absence of gene amplification, and result in ligand-independent activation of HER2 signalling pathways, promoting oncogenic growth and survival. Standard anti-HER2 monoclonal antibodies are largely ineffective against kinase-domain mutant HER2, whereas HER2-targeted strategies incorporating irreversible tyrosine kinase inhibitors (TKIs) such as neratinib and dual HER2-directed combinations such as tucatinib and trastuzumab, retain activity against this molecularly distinct subgroup.
SUMMIT (NCT01953926) is a phase II basket trial evaluating neratinib in HER2-mutant cancers. In the HR-positive, HER2-mutant metastatic breast cancer cohort, the neratinib plus fulvestrant plus trastuzumab triplet demonstrated an ORR of 40%, leading to NCCN recognition as a treatment option for HER2-mutated metastatic breast cancer. In the TNBC-specific population, ORR with neratinib-based combinations was approximately 33.3% and median PFS was 6.2 months [115,116].
The plasmaMATCH trial (NCT03182634) was a multicentre, phase 2a, ctDNA-directed precision oncology platform in patients with advanced breast cancer, designed to match targeted therapies to actionable mutations identified in circulating tumour DNA. In this trial, patients with activating HER2 mutations detected by ctDNA profiling were assigned to a treatment cohort of neratinib monotherapy for hormone receptor-negative disease or neratinib plus fulvestrant for HR-positive disease. Among the 20 efficacy-evaluable participants with HER2 mutations, ~25% achieved a confirmed objective response, and additional unconfirmed responses were seen, with a median PFS of approximately 5.4 months and a median duration of response of 5.7 months [30]. The plasmaMATCH results demonstrated that ctDNA-based screening could effectively identify patients with rare HER2 mutations and guide targeted therapy, providing clinical evidence that HER2 mutations are actionable in metastatic breast cancer. However, responses were less pronounced in patients without concomitant endocrine targeting, highlighting the heterogeneity of HER2 mutation biology.
SGNTUC-019 (NCT04579380) was a phase 2 basket study evaluating the combination of the HER2-selective tyrosine kinase inhibitor tucatinib plus trastuzumab (+/- fulvestrant) in patients with previously treated, metastatic solid tumours harbouring activating HER2 mutations, including a dedicated cohort of 29 patients with HER2-mutated metastatic breast cancer that was HER2-negative by local testing and included 4 patients with TNBC. In the HER2-mutated metastatic breast cancer cohort, tucatinib plus trastuzumab (+/- fulvestrant) demonstrated clinically meaningful antitumour activity, with a confirmed ORR of approximately 41.9%, DCR of 80.6%, and median OS 20.1 months, supporting the concept of targeting HER2 mutations even in the absence of gene amplification [35].
These data provide prospective evidence supporting dual HER2-targeted therapy in HER2-mutant, HER2-non-amplified breast cancer and highlight the importance of precision HER2 inhibition beyond traditional overexpression/amplification paradigms.
T-DXd has also been evaluated in HER2-mutated disease in the DESTINY-PanTumour01 trial (NCT04639219), a basket study of 102 patients with previously treated advanced solid tumours including 20 with breast cancer [37]. Although the ORR in the study was 29.4%, ORR in the small breast cancer subgroup was 50%.
Importantly, neratinib, tucatinib-based regimens, and trastuzumab deruxtecan have demonstrated intracranial activity in HER2-positive breast cancer, providing a rationale for their evaluation in HER2-mutated disease [117,118,119].
8 Other Emerging Targeted Therapies in Advanced TNBC
Beyond PARPi, the therapeutic landscape for advanced TNBC is increasingly shaped by a range of molecularly targeted strategies in various stages of clinical development, each exploiting distinct oncogenic dependencies or vulnerabilities within defined biomarker-selected subpopulations. These include PI3K/AKT/mTOR pathway inhibitors, androgen receptor antagonists, and FGFR inhibitors. Biomarker-driven patient selection is a unifying theme across all these strategies. Table 5 summarises the key clinical trials of targeted therapies in metastatic breast cancer.
Table 5: Targeted Therapies in Advanced TNBC.
| Target/Class | Agent | Trial (NCT) Phase | Treatment Arms | Setting/Line | Patient Selection | Key Outcomes | Status |
|---|---|---|---|---|---|---|---|
| PI3K/AKT/mTOR | Ipatasertib | IPATunity130 Cohort A (NCT03337724) III | Ipatasertib + paclitaxel vs. pbo + paclitaxel | 1L mTNBC | PIK3CA/AKT1/PTEN-altered | PFS 7.4 vs. 6.1 m (HR 1.02; ns); ORR 39% vs. 35%; OS 24.4 vs. 24.9 m (HR 1.08; ns) | Negative; no benefit demonstrated in enriched population |
| CO40151 (NCT03800836) Ib | Atezolizumab + ipatasertib + paclitaxel | 1L mTNBC | PIK3CA/AKT1/PTEN-unselected | ORR 73% (early cohort, n = 26) | Early phase signal | ||
| Capivasertib | PAKT (NCT02423603) II | Capivasertib + paclitaxel vs. pbo + paclitaxel | 1L mTNBC | TNBC overall; PIK3CA/AKT1/PTEN-altered subgroup | Overall: PFS 5.9 vs. 4.2 m (HR 0.74), ORR 59% vs. 40%. Altered subgroup: PFS 9.0 vs. 4.9 m (HR 0.59), OS 19.1 vs. 12.6 m (HR 0.61) | Phase II proof-of-concept in altered subgroup | |
| CAPItello-290 (NCT03997123) III | Capivasertib + paclitaxel vs. pbo + paclitaxel | 1L mTNBC | TNBC overall; PIK3CA/AKT1/PTEN-altered subgroup | Overall: PFS 5.6 vs. 5.1 m (HR 0.72); ORR 50.1% vs. 37.6%; OS 17.7 vs. 18.0 m (HR 0.92; ns). Altered subgroup: PFS 7.5 vs. 5.6 m (HR 0.70); OS 20.4 vs. 20.4 m (HR 1.05; ns) | Dual OS primary endpoint not met in overall or altered subgroups; not approved | ||
| ALTA2618 | AKTive-001 (NCT06533059) I/Ib | ALTA2618 monotherapy | Advanced solid pretreated tumours incl. mTNBC | AKT1 E17K mutant | Ongoing | Phase I dose escalation ongoing | |
| Androgen Receptor (AR) | Bicalutamide | TBCRC-011 (NCT00468715) II | Bicalutamide 150 mg OD | mTNBC (pretreated) | AR+ (≥10%) TNBC | PFS 12 wks; ORR 0%, CBR 19% at 6 months | Proof-of-concept for AR targeting |
| Enzalutamide | MDV3100-11 (NCT01889238) II | Enzalutamide 160 mg OD | mTNBC (pretreated) | AR+ (>0%) TNBC | Overall: PFS 2.9 m; CBR 25% at 16 wks; AR ≥10% subgroup: PFS 3.4 m; ORR 8%, CBR 33%; OS 17.6 m | LAR subtype enriched for benefit | |
| Abiraterone | UCBG 12-1 (NCT01842321) II | Abiraterone acetate 1000 mg OD + prednisone 5 mg BD | mTNBC (pretreated) | AR+ (≥10%) TNBC | PFS 2.8 m; ORR 6.7%; CBR 20% at 6 months | Modest single-agent activity | |
| HER2 Mutations | Neratinib ± fulvestrant ± trastuzumab | SUMMIT (NCT01953926) II | Neratinib ± fulvestrant ± trastuzumab | mBC incl. TNBC (pretreated) | HER2-mutant non-amplified | TNBC: PFS 6.2 m; ORR 33.3%; HR+/HER2-mut: PFS 8.3 m; ORR 39% | NCCN guideline inclusion for HER2-mut mBC (particularly HR+) |
| Tucatinib + trastuzumab | SGNTUC-019 (NCT04579380) II | Tucatinib + trastuzumab ± fulvestrant | mBC incl. TNBC (pretreated) | HER2-mutant non-amplified | ORR 41.9%; OS 20.1 m | Activity in HER2-mutant non-amplified disease | |
| Neratinib | plasmaMATCH (NCT03182634) II | Neratinib ± fulvestrant | mBC incl. TNBC (pretreated) | HER2 mutation detected by ctDNA | PFS 5.4 m; ORR 25% | ctDNA-directed patient selection | |
| T-DXd | DESTINY-PanTumor01 (NCT04639219) II | T-DXd monotherapy | Previously treated advanced solid tumours incl. mTNBC | HER2-expressing or HER2-mutant non-amplified | Breast cancer subgroup: ORR 50%; Overall: ORR 29.4% | Demonstrates activity across HER2-driven solid tumours | |
| FGFR Mutations | Futibatinib | FOENIX-MBC2 (NCT04024436) II | Futibatinib monotherapy | mBC incl. TNBC | FGFR1–4 alterations (incl. FGFR2 amplification) | TNBC: ORR ~9.5%, PFS ~1.9 mo; HR+/HER2−: ORR ~18%, PFS ~7.2 mo | Modest activity overall; heterogeneous responses across subtypes |
8.1 Androgen Receptor Targeting
Androgen receptor (AR) expression is identified in 10–35% of TNBC tumours, correlating closely with the LAR intrinsic subtype, characterised by high AR and downstream androgen-regulated gene expression, frequent PIK3CA alterations, and a relatively lower proliferative index compared with other TNBC subtypes [23,25,120]. Preclinical data robustly demonstrate AR-driven proliferation and survival in LAR tumour cells, providing the mechanistic rationale for androgen receptor antagonism.
TBCRC-011 (NCT00468715) is a phase II trial that evaluated Bicalutamide 150 mg daily in patients with AR-positive (≥10%) metastatic TNBC (n = 26). CBR at 6 months was 19% (95% CI 7–39%), median PFS was 12 weeks, and there were no objective responses. This study provided the first prospective clinical evidence supporting AR targeting in molecularly selected TNBC [121]. MDV3100-11 (NCT01889238) evaluated Enzalutamide in the same population and demonstrated a CBR of 25% at 16 weeks, ORR 8%, and median PFS 3.4 months in the evaluable AR ≥10% subgroup. Retrospective transcriptomic analysis suggested enrichment of benefit within the LAR subtype [38]. Abiraterone combined with prednisone showed minimal benefit in a phase 2 study of AR+ TNBC, with a reported response rate of 6.7% and 6-month CBR of 20% [39]. Darolutamide failed to demonstrate superiority over capecitabine in a phase 2 study of AR+ TNBC, highlighting ongoing challenges in identifying optimal biomarkers for AR-directed therapy [40].
The PAveMenT trial (NCT04360941) is a Phase Ib, open-label study evaluating the safety, tolerability, and preliminary efficacy of the CDK4/6 inhibitor palbociclib in combination with the PD-L1 ICI avelumab in patients with metastatic AR-positive TNBC, again selected by IHC. The trial incorporates a dose-escalation phase followed by an expansion cohort to evaluate preliminary efficacy in AR-positive TNBC. This combination strategy is based on preclinical rationale that CDK4/6 inhibition may enhance anti-tumour immunity and potentiate responses to PD-L1 blockade in molecularly defined TNBC subsets. The study is ongoing, with exploratory analyses evaluating AR expression, PAM50 subtype, PD-L1 status, and tumour-infiltrating lymphocytes as potential predictive biomarkers [122].
8.2 PI3K/AKT/mTOR Pathway Inhibition
8.2.1 Rationale and Preclinical Evidence
The PI3K/AKT/mTOR axis is dysregulated in approximately 25–30% of TNBC tumours through activating mutations in PIK3CA, loss-of-function alterations in PTEN, and activating mutations in AKT1 [123]. Selective inhibition of AKT with small-molecule inhibitors such as capivasertib and ipatasertib has demonstrated preclinical activity in TNBC models characterised by PI3K pathway dysregulation, including suppression of tumour cell survival and enhancement of the cytotoxic effects of taxane-based chemotherapy. These findings support the concept that targeting AKT, a convergent therapeutic node downstream of PI3K that can circumvent redundancy in upstream PI3K isoforms and feedback reactivation of RTKs, may help overcome intrinsic chemotherapy resistance in TNBC characterised by PI3K/AKT/mTOR pathway activation [124].
IPATunity130 (NCT03337724) was a randomised phase III trial which evaluated the AKT inhibitor Ipatasertib plus paclitaxel versus placebo plus paclitaxel as first-line therapy for PIK3CA/AKT1/PTEN-altered advanced TNBC in Cohort A. Despite the positive phase II data from the LOTUS trial, the addition of Ipatasertib to paclitaxel did not improve PFS compared with placebo plus paclitaxel (median 7.4 months vs. 6.1 months; HR 1.02), and no meaningful OS benefit was observed, highlighting challenges in translating AKT inhibition into broad clinical benefit in molecularly defined TNBC [125].
The phase Ib CO40151 study (NCT03800836) evaluated first-line atezolizumab, ipatasertib, and taxane chemotherapy in metastatic TNBC. Among the first 26 evaluable patients, the confirmed ORR was 73%, with responses observed irrespective of PD-L1 status or PI3K pathway alterations. Although these findings suggested potential synergy between AKT inhibition and ICI, the small, non-randomised cohort limits definitive conclusions [126]. Subsequent phase III trials have not consistently reproduced this magnitude of benefit, highlighting the complexity of integrating AKT inhibition into chemo-immunotherapy backbones in TNBC.
The AKT inhibitor Capivasertib was evaluated in combination with paclitaxel versus placebo plus paclitaxel in first-line metastatic TNBC in the Phase II PAKT trial (NCT02423603). The overall PFS result was borderline (5.9 vs. 4.2 months; HR 0.74; p = 0.06), but the PIK3CA/AKT1/PTEN-altered subgroup demonstrated a pronounced PFS benefit (HR 0.59) and a significant OS advantage (19.1 vs. 12.6 months; HR 0.61; p = 0.035), providing proof-of-concept for biomarker-selected enrichment [127].
This led to the phase III CAPItello-290 trial (NCT03997123) which randomised 812 patients with previously untreated metastatic TNBC to capivasertib plus paclitaxel versus placebo plus paclitaxel. PFS numerically favoured capivasertib in both the overall population (5.6 vs. 5.1 months; HR 0.72; 95% CI 0.61–0.84) and the biomarker-altered (PIK3CA/AKT1/PTEN-altered) subgroup (7.5 vs. 5.6 months; HR 0.70; 95% CI 0.52–0.95), however the dual primary endpoint of OS was not met in either population, and capivasertib did not receive regulatory approval in this setting [128].
Capivasertib monotherapy was also evaluated in patients with AKT or PTEN mutations and TNBC in the PlasmaMATCH trial, however the cohort failed to meet its predefined efficacy threshold [30].
ALTA2618 is a covalent inhibitor designed specifically to target the AKT1 E17K activating mutation which is present in approximately 2–5% of TNBC. Unlike pan-AKT inhibitors, its mutation selectivity is intended to improve the therapeutic index by sparing wild-type AKT signalling. Early phase I/II data from AKTive-001 trial (NCT06533059) demonstrate objective responses in AKT1 E17K-mutant tumours, including TNBC, with a favourable tolerability profile [129].
FGFR genomic alterations, encompassing FGFR1 amplification, FGFR2 amplification/activating mutations, and FGFR3 fusions, activate downstream RAS/MAPK and PI3K/AKT signalling, promoting proliferation, angiogenesis, and epithelial-mesenchymal transition. Preclinical studies demonstrate selective FGFR inhibitors potently suppress FGFR-altered TNBC models, with synergistic activity in combination with chemotherapy in xenograft experiments [130].
Dovitinib (TKI258) was among the first FGFR inhibitors evaluated clinically in breast cancer [34], although subsequent development focused primarily on HR-positive disease rather than TNBC.
The FOENIX-MBC2 trial (NCT04024436) is a phase II study evaluating futibatinib across multiple cohorts of advanced breast cancer harbouring FGFR amplifications. While detailed subgroup results specific to TNBC have not yet been fully published, preliminary reports suggest that among TNBC patients with FGFR alterations treated with futibatinib, the ORR is 9.5%, with a DCR of 33% and a median PFS of approximately 1.9 months [131]. These findings highlight the importance of comprehensive NGS-based tumour profiling to identify FGFR-driven subsets and to enrich future targeted trials.
9 Emerging and Investigational Approaches
Beyond molecularly targeted strategies, a diverse array of investigational modalities is redefining the frontier of TNBC therapeutics, exploiting novel immune checkpoints, engineering improved tumour-directed delivery platforms, harnessing cell-based immunotherapy, and dissecting the complex immunosuppressive TME. Durable responses in advanced TNBC will likely require combinatorial strategies simultaneously engaging tumour-intrinsic vulnerabilities and reshaping the immune landscape. Furthermore, with the move of pembrolizumab into early TNBC and the potential for ADCs to become standard in the post-neo-adjuvant setting if TROPION-Breast03 and ASCENT-05 are positive, patients with disease relapsing despite these key agents will be increasingly difficult to treat and novel strategies will be urgently required.
9.1 Novel Checkpoints beyond PD-1/PD-L1: LAG-3, TIGIT, and VISTA
Despite the paradigm-shifting OS benefit of pembrolizumab combined with chemotherapy in PD-L1-positive (CPS ≥10) metastatic TNBC, a substantial proportion of patients do not respond or develop acquired resistance. Lymphocyte-activation gene-3 (LAG-3), which suppresses T cell activation through MHC class II binding on exhausted CD8+ T cells and Tregs, is one of the most clinically advanced alternative checkpoints. The combination of relatlimab (anti-LAG-3) with nivolumab achieved regulatory approval in melanoma (RELATIVITY-047) [132].
TIGIT (T cell immunoreceptor with Ig and ITIM domains) is an inhibitory checkpoint expressed on T cells and NK cells in TNBC, where it competes with CD226 for CD155 binding, suppressing antitumor immunity. Early-phase trials of the anti-TIGIT antibody Tiragolumab combined with PD-L1 inhibition and chemotherapy have demonstrated encouraging activity in TNBC, supporting further evaluation [133].
VISTA (V-domain Ig suppressor of T-cell activation) is predominantly expressed on myeloid cells within the TNBC microenvironment and represents a distinct inhibitory axis separate from PD-1/PD-L1. Translational analyses have shown that VISTA is upregulated in human TNBC tissues, where it is primarily expressed on tumour-infiltrating macrophages and neutrophils, and that VISTA blockade re-programs macrophages toward a pro-inflammatory phenotype and enhances CD8+ T-cell activation in preclinical models. These findings provide a mechanistic rationale for targeting VISTA in TNBC, although clinical efficacy data from VISTA antagonists in TNBC are still emerging [134].
9.2 Tumour-Associated Antigen Vaccines
Peptide and neoantigen-based vaccines represent a promising immunotherapeutic strategy in TNBC. GP2, a HER2-derived peptide vaccine administered with GM-CSF, demonstrated encouraging disease-free survival outcomes in a phase II trial of HER2 3+ patients with residual disease post-neoadjuvant chemotherapy, with exploratory signals suggesting activity in TNBC subgroups [135]. Personalised neoantigen vaccines, designed based on tumour mutational burden and whole-exome sequencing, are under investigation in combination with PD-1/PD-L1 blockade, aiming to convert immunologically “cold” TNBC tumours into “hot” phenotypes responsive to immune attack [136]. Additional vaccine targets include α-lactalbumin, re-expressed in basal-like TNBC, and AE37 (Ii-Key/HER2 peptide conjugate), which leverage tumour-specific antigens to stimulate cytotoxic T-cell responses [137,138]. These approaches highlight the potential of tumour-associated antigen vaccines to enhance immunogenicity and complement checkpoint inhibition in TNBC.
9.3 Novel ADCs and Targeted Delivery Platforms
Dual-payload ADCs couple two distinct cytotoxic warheads to circumvent resistance by attacking multiple cellular vulnerabilities. Immune-engaging ADCs combine cytotoxic payloads with immunostimulatory cargoes (TLR agonists, STING agonists) to convert focal cytotoxicity into systemic immune priming. TLR7/8 and STING agonist strategies have clear preclinical rationale in TNBC immunomodulation, with demonstrated ability in models to enhance innate and adaptive immune responses [139,140]. However, clinical evidence in TNBC is still early or emerging, with most studies to date confined to preclinical models or early phase trials in broader oncology indications rather than TNBC-specific cohorts.
Bicycle Toxin Conjugates (BTCs) represent a next-generation targeted delivery scaffold distinct from traditional ADCs. BTCs are built on ultrasmall (~1.5–2 kDa) conformationally constrained bicyclic peptides engineered for high-affinity target binding with favourable tissue penetration, rapid renal clearance from normal tissues, and scalable chemical synthesis. These properties result in rapid tumour targeting and systemic clearance, a pharmacokinetic profile distinct from conventional ADCs. BTCs carry potent cytotoxic warheads such as auristatin payloads via cleavable linkers to elicit direct tumour cell kill [141].
BT5528 (Zelenectide Pevedotin) targets the receptor tyrosine kinase EphA2 which is frequently overexpressed in TNBC and associated with aggressive biology, metastatic potential, and poor prognosis. In a phase I/II first-in-human study of BT5528 in patients with advanced solid tumours, emerging clinical data demonstrated a differentiated safety profile and preliminary antitumour activity across a heterogeneous population, with an ORR of 12% and generally low rates of peripheral neuropathy and other toxicities typically attributed to ADC payloads [142].
The Duravelo programme encompasses BTCs targeting multiple antigens. BT8009, a NECTIN4-targeting BTC, has been evaluated in phase I/II trials and received FDA Fast Track designation for previously treated locally advanced or metastatic solid tumours expressing NECTIN4 [143]. While TNBC-specific efficacy results are still emerging, these BTCs demonstrate promising safety and early activity signals, highlighting their potential as novel targeted therapeutics in TNBC and other solid tumours.
9.4 Cell-Based Therapies: CAR-T and CAR-NK Cells
Chimeric antigen receptor (CAR)-engineered adoptive cell therapies have garnered interest in TNBC. Multiple CAR-T programmes targeting tumour-associated antigens such as ROR1, MUC1, mesothelin, GD2, and EGFR have been explored preclinically and in early clinical studies, reflecting the heterogeneous antigen landscape of TNBC and the challenge of identifying robust, tumour-restricted targets. Preclinical models demonstrate potent antitumour cytotoxicity, and early clinical efforts suggest potential signals of activity, but overall ORR in solid tumour CAR-T trials remain modest compared with haematological malignancies, largely due to antigen heterogeneity, limited tumour trafficking and persistence, and immunosuppressive tumour microenvironments. These barriers, characterised by abundant regulatory T cells, myeloid-derived suppressor cells, and inhibitory cytokines such as TGF-β, constrain intra-tumoural CAR-T expansion and effector function and contribute to toxicity such as cytokine release syndrome [144].
CAR-NK cells offer a complementary adoptive platform with distinct advantages. These include MHC-unrestricted cytotoxicity, a lower propensity for graft-versus-host disease (GvHD), and the feasibility of “off-the-shelf” allogeneic products. CAR-NK constructs targeting antigens such as NKG2D ligands or CD44v6 have demonstrated appreciable cytotoxicity in TNBC preclinical models, including 3D tumour spheroid systems that better mimic the tumour microenvironment. Incorporation of cytokine support or engineering to overcome inhibitory signals has further enhanced CAR-NK potency in vitro [145].
Armoured CAR designs such as CAR-T cells co-expressing IL-15 or IL-12, TGF-β-resistant receptors, or dual-antigen constructs are being actively investigated to mitigate immunosuppression and antigen escape. Combining CAR-T or CAR-NK therapies with ICI, cytokines, or targeted agents is also under active study to enhance persistence and antitumour efficacy [146].
Despite encouraging preclinical evidence and early feasibility data, clinical efficacy in TNBC remains limited, with few durable complete responses reported to date. Ongoing early-phase clinical trials of CAR-T cells against novel targets such as mesothelin and EGFR in TNBC are underway, aiming to define safety, optimal dosing, and preliminary efficacy, while next-generation constructs continue to evolve to overcome tumour microenvironment barriers and improve patient outcomes [147].
9.5 Tumour Microenvironment-Targeted Therapies
9.5.1 Macrophage Modulators and T-Cell Immunostimulants
The TNBC TME is enriched with immunosuppressive M2-polarised tumour-associated macrophages (TAMs) that promote immune evasion, angiogenesis, and metastasis. TAMs can be depleted or reprogrammed towards pro-inflammatory M1 phenotypes using CSF1R inhibitors such as Pexidartinib, which reduce macrophage recruitment and suppressive signalling in preclinical TNBC models, enhancing T-cell and B-cell infiltration and antitumour activity. Early clinical studies of CSF1R blockade in combination with ICI or chemotherapy demonstrate modulation of the immune milieu and target TAM-mediated suppression, supporting broader investigation [148].
9.5.2 Stromal Barriers and TGF-β Inhibition
Desmoplastic stroma driven by cancer-associated fibroblasts (CAFs), extracellular matrix deposition, and TGF-β signalling forms a physical and biochemical barrier to effective immune cell infiltration and drug penetration. CAF subtypes such as FAP+ and CAF-S1 subsets contribute to immunosuppression and exclude effector T cells in TNBC [149]. Dual inhibition approaches targeting both the TME and checkpoint pathways have been pursued. Bintrafusp alfa, a bifunctional fusion protein that sequesters TGF-β while blocking PD-L1, has been evaluated in early-phase TNBC clinical trials (e.g., NCT04489940), however, trials were discontinued due to limited efficacy [150]. Galunisertib, a TGF-β receptor I kinase inhibitor, has also been investigated in combination regimens to counteract CAF-driven immunosuppression and enhance checkpoint blockade efficacy [151]. Additional strategies such as FAP-targeted CAR-T cells and bispecific antibodies aim to disrupt stromal components directly. These TME-reprogramming approaches emphasise that effective immunotherapy for advanced TNBC may require concurrent targeting of stromal, myeloid, and immune checkpoints [152].
10 Clinical Considerations, Challenges, and Unmet Needs
10.1 Treatment Sequencing in Metastatic TNBC
The evolving treatment landscape of metastatic TNBC is increasingly underpinned by a personalised medicine framework in which therapeutic selection is guided by prospectively assessed biomarkers rather than a uniform sequential chemotherapy approach. In clinical practice, PD-L1 status (CPS ≥10 by 22C3 or IC ≥1% by SP142), germline BRCA1/2 and PALB2 mutation status, and HER2 low/ultralow expression now define distinct actionable subpopulations with specific approved therapies. The integration of ctDNA monitoring at progression offers an additional dynamic layer of personalisation, enabling early identification of resistance mechanisms such as BRCA reversion mutations that inform subsequent treatment selection. This biomarker-stratified approach not only optimises therapeutic efficacy but also aims to reduce unnecessary toxicity by reserving agents with specific adverse event profiles, for patients most likely to benefit. The treatment algorithm described in this section reflects this personalised framework.
For patients with a CPS ≥10, pembrolizumab combined with chemotherapy (nab-paclitaxel, paclitaxel, or gemcitabine-carboplatin) represents the current first-line standard of care, based on the survival benefit demonstrated in KEYNOTE-355 (median OS 23.0 vs. 16.1 months; HR 0.73) [15,67]. In Europe, atezolizumab plus nab-paclitaxel is approved for first-line treatment of patients with PD-L1 positive tumours (IC ≥1%), following results from Impassion130, however, this indication was subsequently withdrawn by the FDA after confirmatory studies failed to demonstrate OS benefit [16]. The data from ASCENT-04/KEYNOTE-D19 presented at ASCO 2025 and demonstrating superiority of sacituzumab govitecan plus pembrolizumab over chemotherapy plus pembrolizumab in PD-L1-positive disease are anticipated to further reshape this first-line algorithm, potentially replacing chemotherapy as the backbone partner for immunotherapy [20].
For patients with a CPS <10 and IC <1% who lack actionable HRR alterations, the first-line standard remains single-agent or doublet chemotherapy, predominantly taxane-based or platinum-based regimens. However, results from ASCENT-03, and TROPION-Breast02 [19,22], may represent a paradigm-shifting option pending regulatory review.
For patients with germline BRCA1/2 mutations, PARP inhibitors offer an alternative first-line or early-line option with a meaningful PFS benefit and a more favourable toxicity profile compared to chemotherapy. Activity has also been demonstrated in selected patients with germline PALB2 mutations, and emerging data support consideration in somatic BRCA1/2-mutated disease, though the evidence base in these populations remains less mature and regulatory approvals vary by region. In the subset of patients who are both PD-L1-positive and BRCA-mutated, the optimal sequencing of PARP inhibitors versus ICIs remains unknown. Emerging data suggest that first-line ICI may be favoured, given evidence of diminished efficacy when ICIs are administered in later lines, whereas PARP inhibitors could be reserved for subsequent therapy in patients with actionable germline mutations. Such sequencing decisions are likely to be guided by tumour burden, patient comorbidities, and biomarker-driven risk stratification, with ongoing trials exploring combined or sequential PARP inhibitor plus ICI strategies.
Interpretation of the pivotal first-line ADC studies warrants specific methodological caution. Cross-trial comparisons between ASCENT-03 and TROPION-Breast02 are confounded by material differences in eligibility criteria. ASCENT-03 required a DFI of ≥6 months from curative treatment, selecting a relatively lower-risk relapsed population, whereas TROPION-Breast02 imposed no minimum DFI requirement and capped early relapsers (<12 months) at 20% of enrolment, thereby including a higher-risk cohort. TROPION-Breast02 additionally enrolled patients with stable brain metastases, expanding generalisability but further enriching for adverse prognostic features. Despite this, the comparator arm in TROPION-Breast02 only permitted single agent chemotherapy, whereas combination chemotherapy with gemcitabine and carboplatin was permitted and used in 44% on ASCENT-03. As a result, cross-trial PFS comparisons between these ADC strategies are unreliable in the absence of head-to-head data [19]. Crossover provisions further diverged: ASCENT-03 permitted crossover to SG at progression, with observed rates exceeding 80%, substantially confounding OS analysis and precluding definitive OS conclusions. In contrast TROPION-Breast02 did not permit crossover, enabling a cleaner OS readout but limiting post-progression treatment options for patients enrolled in regions without external access to datopotamab deruxtecan. The lower median PFS in the chemotherapy-pembrolizumab control arm of ASCENT-04 (7.8 months) compared with KEYNOTE-355 in the CPS ≥10 population (9.7 months) most plausibly reflects the higher proportion of patients with prior (neo)adjuvant chemotherapy exposure in ASCENT-04, including taxane-pretreated patients for whom the control regimen options may have had diminished efficacy, alongside differences in geographic enrolment and stratification variables, rather than true inferiority of the standard regimen [15,20]. These methodological heterogeneities underscore the need for standardised trial design elements in future first-line TNBC studies, including consistent DFI definitions, and pre-specified crossover-adjusted OS analyses, to enable robust cross-trial inference and support evidence-based treatment sequencing decisions.
CNS disease represents a major and incompletely addressed unmet need in metastatic TNBC. SG demonstrated minimal intracranial activity in the stable brain metastases subgroup of ASCENT (ORR 3%, median PFS 2.8 months), and the pharmacokinetic determinants of this limited CNS activity remain incompletely characterised [81]. The tetrapeptide-based cleavable linker of Dato-DXd confers greater plasma stability than SG’s hydrolysable CL2A linker [82], and ESG401’s serum-stable linker, designed to minimise premature payload release in circulation, may theoretically enhance CNS exposure compared with less stable constructs [85]. T-DXd has demonstrated substantial intracranial activity in HER2-positive breast cancer, most notably in the phase 3b/4 DESTINY-Breast12 trial (12-month CNS PFS 58.9%) [119], and HER3-DXd showed activity in leptomeningeal disease in TUXEDO-3, though the TNBC subgroup comprised only six patients [97]. Dedicated CNS-inclusive trials and mandatory reporting of intracranial efficacy endpoints in future first-line TNBC studies will be essential to address this critical gap.
Sequencing beyond the first line is increasingly complex and hindered by the absence of cross-trial comparisons and validated predictive biomarkers. SG remains the approved standard second-line therapy, demonstrating in ASCENT an ORR of 35%, median PFS of 5.6 months, and median OS of 12.1 months versus 5%, 1.7 months, and 6.7 months for TPC chemotherapy, respectively [17]. A major emerging challenge is the sequential use of two TROP-2-directed ADCs (SG and dato-DXd) given their shared topoisomerase I payload class, as cross-resistance mechanisms including MDR-associated efflux are likely to attenuate benefit from the second agent [153]. There is currently no phase III evidence supporting sequential TROP-2 ADC use, and active trials are seeking to address this gap.
A distinct sequencing consideration applies to patients with HER2-low or ultralow tumour expression. In this biomarker-defined subset, T-DXd offers an additional line of therapy in the pretreated setting based on DESTINY-Breast04 data [18], though its efficacy following prior SG or dato-DXd exposure remains unknown and prospective data addressing this sequence are awaited.
A further complexity arises from prior exposure to (neo)adjuvant immunotherapy. Patients who relapsed within six to twelve months of completing adjuvant pembrolizumab (following KEYNOTE-522) present a distinct clinical scenario in which re-challenging with checkpoint inhibition in the metastatic setting requires careful risk-benefit discussion, as primary resistance mechanisms may already be operative. This will be further complicated if ADCs are approved in the adjuvant setting in the future, although results from TROPION-Breast03 and ASCENT-05 are awaited. Treatment history review including prior ADC exposure, taxane class, and ICI timing is essential before selecting subsequent lines and participation in clinical trials should be encouraged.
See Fig. 1 and Fig. 2 for proposed treatment algorithms for metastatic TNBC.
Figure 1: Proposed treatment algorithm for de novo metastatic breast cancer. aAtezolizumab/nab-paclitaxel is EMA approved. FDA approval withdrawn 2021. bIn patients with both PD-L1-positive and gBRCA1/2-mutated disease, emerging data suggest that first-line ICI may be favoured, given evidence of diminished efficacy when ICIs are administered in later lines. PARP inhibitors may offer a reasonable alternative first-line option, particularly where a chemotherapy-free approach is preferred, and can be reserved for subsequent therapy. Optimal sequencing in this dual biomarker-positive population remains prospectively unevaluated and should be guided by individual patient factors including tumour burden, comorbidities, and treatment preferences. cGermline PALB2 pathogenic variant: olaparib NCCN Category 2A recommendation based on TBCRC-048 phase II data (ORR 75%, PFS 9.6 months); not FDA or EMA approved in this indication. Olaparib/talazoparib for gBRCA1/2-mutated disease: NCCN Category 1. dsBRCA1/2: olaparib activity demonstrated in TBCRC-048 phase II trial; NCCN Category 2B recommendation; not FDA or EMA approved in this indication. eTucatinib + trastuzumab (SGNTUC-019) and neratinib + trastuzumab (SUMMIT) are both NCCN Category 2A recommendations for HER2-mutant non-amplified metastatic breast cancer; fulvestrant is omitted in ER-negative/TNBC patients. Neratinib without trastuzumab is Category 2B. Neither combination is FDA or EMA approved in this indication. T-DXd activity is supported by DESTINY-PanTumor01 (breast cancer subgroup ORR 50%); no current NCCN category or regulatory approval specifically for HER2-mutant non-amplified breast cancer. All options require HER2 activating mutation confirmed by NGS of tumour tissue or ctDNA; HER2 amplification should be excluded. NCCN Breast Cancer Guidelines version 5.2025. fTumour-agnostic FDA approvals exist for pembrolizumab (MSI-H and TMB ≥10 mut/Mb; KEYNOTE-158), larotrectinib/entrectinib (NTRK fusions), and selpercatinib (RET fusions); all carry NCCN Category 2A designation. These alterations are rare in TNBC (<1–5%) and breast cancer-specific efficacy data are limited. Comprehensive genomic profiling is recommended to identify eligible patients. None are EMA-approved or NICE-recommended specifically for TNBC. TNBC, triple-negative breast cancer; Dato-DXd, datopotamab deruxtecan (Datroway); DFI, disease-free interval; T-DXd, trastuzumab deruxtecan (Enhertu); CPS, combined positive score; IC, immune cell score; ICI, immune checkpoint inhibitor; mPFS, median progression-free survival; mOS, median overall survival; gBRCA, germline BRCA; gPALB2, germline PALB2; sBRCA, somatic BRCA; NGS, next-generation sequencing; ctDNA, circulating tumour DNA; MSI-H, microsatellite instability-high; TMB-H, tumour mutational burden-high; NTRK, neurotrophic tyrosine receptor kinase; RET, rearranged during transfection. Sequencing note: SG (TROP-2-directed, SN-38 payload) and Dato-DXd (TROP-2-directed, DXd payload) share a topoisomerase I inhibitor payload class; cross-resistance is a theoretical concern and sequential use data are limited. Approval status reflects regulatory submissions as of March 2026.
Figure 2: Proposed treatment algorithm for metastatic breast cancer following (neo) adjuvant treatment. 1For patients relapsing following adjuvant pembrolizumab (KEYNOTE-522), re-challenge with ICI in the metastatic setting remains clinically uncertain. ASCENT-04 permitted enrolment of patients with prior adjuvant ICI and stratified by this variable, however too few such patients were enrolled to draw conclusions regarding ICI re-challenge efficacy. The 6–12 month treatment-free interval is used as a pragmatic threshold in clinical practice; patients relapsing within 6 months of adjuvant ICI should be directed to the ICI-ineligible arm. For those relapsing beyond 12 months, individual patient discussion and clinical trial participation are encouraged given the absence of prospective evidence. 2Disease-free interval (DFI) requirements for recurrent disease: ASCENT-03 and ASCENT-04: DFI ≥6 months from completion of curative-intent therapy required. TROPION-Breast02: no minimum DFI requirement; patients with DFI <12 months capped at 20% of total enrolment. 3T-DXd may be used as first-line metastatic therapy in patients with HER2-low disease who relapse within 6 months of completing adjuvant chemotherapy (DESTINY-Breast04 eligibility criterion). aAtezolizumab/nab-paclitaxel is EMA approved. FDA approval withdrawn 2021. bIn patients with both PD-L1-positive and gBRCA1/2-mutated disease, emerging data suggest that first-line ICI may be favoured, given evidence of diminished efficacy when ICIs are administered in later lines. PARP inhibitors may offer a reasonable alternative first-line option, particularly where a chemotherapy-free approach is preferred, and can be reserved for subsequent therapy. Optimal sequencing in this dual biomarker-positive population remains prospectively unevaluated and should be guided by individual patient factors including tumour burden, comorbidities, and treatment preferences. cGermline PALB2 pathogenic variant: olaparib NCCN Category 2A recommendation based on TBCRC-048 phase II data (ORR 75%, PFS 9.6 months); not FDA or EMA approved in this indication. Olaparib/talazoparib for gBRCA1/2-mutated disease: NCCN Category 1. dsBRCA1/2: olaparib activity demonstrated in TBCRC-048 phase II trial; NCCN Category 2B recommendation; not FDA or EMA approved in this indication. eTucatinib + trastuzumab (SGNTUC-019) and neratinib + trastuzumab (SUMMIT) are both NCCN Category 2A recommendations for HER2-mutant non-amplified metastatic breast cancer; fulvestrant is omitted in ER-negative/TNBC patients. Neratinib without trastuzumab is Category 2B. Neither combination is FDA or EMA approved in this indication. T-DXd activity is supported by DESTINY-PanTumor01 (breast cancer subgroup ORR 50%); no current NCCN category or regulatory approval specifically for HER2-mutant non-amplified breast cancer. All options require HER2 activating mutation confirmed by NGS of tumour tissue or ctDNA; HER2 amplification should be excluded. NCCN Breast Cancer Guidelines version 5.2025. fTumour-agnostic FDA approvals exist for pembrolizumab (MSI-H and TMB ≥10 mut/Mb; KEYNOTE-158), larotrectinib/entrectinib (NTRK fusions), and selpercatinib (RET fusions); all carry NCCN Category 2A designation. These alterations are rare in TNBC (<1–5%) and breast cancer-specific efficacy data are limited. Comprehensive genomic profiling is recommended to identify eligible patients. None are EMA-approved or NICE-recommended specifically for TNBC. TNBC, triple-negative breast cancer; Dato-DXd, datopotamab deruxtecan (Datroway); DFI, disease-free interval; T-DXd, trastuzumab deruxtecan (Enhertu); CPS, combined positive score; IC, immune cell score; ICI, immune checkpoint inhibitor; mPFS, median progression-free survival; mOS, median overall survival; gBRCA, germline BRCA; gPALB2, germline PALB2; sBRCA, somatic BRCA; NGS, next-generation sequencing; ctDNA, circulating tumour DNA; MSI-H, microsatellite instability-high; TMB-H, tumour mutational burden-high; NTRK, neurotrophic tyrosine receptor kinase; RET, rearranged during transfection. Sequencing note: SG (TROP-2-directed, SN-38 payload) and Dato-DXd (TROP-2-directed, DXd payload) share a topoisomerase I inhibitor payload class; cross-resistance is a theoretical concern and sequential use data are limited. Approval status reflects regulatory submissions as of March 2026.
10.2 Toxicity Management and Quality of Life
As the treatment landscape evolves, managing overlapping and cumulative toxicities across sequential agents has become an increasingly important clinical priority. Immunotherapy-related adverse events, including immune-mediated thyroid dysfunction, pneumonitis, colitis, hepatitis, and adrenal insufficiency, occur in approximately 25% of patients receiving chemoimmunotherapy, with grade 3–4 events in around 5% [15]. Prompt recognition, early corticosteroid administration, and multidisciplinary input are critical. An additional consideration in the era of ADC-ICI combinations is the potential for overlapping pulmonary toxicity. ILD is a class effect of DXd-based ADCs and has been reported in up to approximately 5% of patients treated with dato-DXd in the phase III setting, requiring vigilant monitoring and dose interruption protocols [103].
Haematological toxicity, particularly neutropenia and anaemia, is universal across cytotoxic regimens. SG is associated with clinically significant neutropenia (grade 3–4 in approximately 51% of patients) and diarrhoea (grade 3–4 in approximately 10%), which may be managed with G-CSF support and loperamide, respectively [17]. PARP inhibitors are associated with anaemia and thrombocytopenia, which are generally manageable but require regular monitoring, particularly in patients with reduced bone marrow reserve following prior platinum-based therapy. Long-term peripheral neuropathy from taxane and eribulin exposure may limit patients’ capacity for subsequent neurotoxic agents and must be routinely assessed.
Patient-reported outcomes (PROs) and quality of life (QoL) data are increasingly incorporated into regulatory submissions and trial reporting. IMpassion130 demonstrated that the addition of atezolizumab to nab-paclitaxel did not compromise health-related QoL [16]. Similarly, ASCENT-04 included QoL endpoints, with preliminary data suggesting that SG plus pembrolizumab maintained QoL compared to chemotherapy-immunotherapy in PD-L1-positive disease [20]. These data are particularly relevant given the chronic nature of metastatic disease management, in which prolonged toxicity may offset survival gains.
A patient-centred approach incorporating individual comorbidities, functional status, treatment preferences, and logistical considerations, including the convenience of oral versus intravenous administration, should inform treatment selection at every line.
Resistance to treatment remains the central challenge in the management of metastatic TNBC, and its mechanisms are as heterogeneous as the disease itself. Resistance to chemotherapy arises through multiple mechanisms, including upregulation of drug efflux pumps (P-glycoprotein/MDR1), alterations in DNA repair pathways, EMT conferring stem-cell-like properties, and dysregulation of the PI3K/AKT/mTOR pathway that promotes cell survival under cytotoxic stress [154]. The dense stromal microenvironment further limits drug penetration and facilitates immune exclusion.
Resistance to ICIs in TNBC is mediated through both intrinsic tumour-cell mechanisms and extrinsic microenvironmental factors. Intrinsic mechanisms include loss of MHC class I expression, dysregulation of interferon-gamma signalling, oncogenic activation of Wnt/beta-catenin and JAK/STAT pathways, and epigenetic silencing of immunogenic gene expression programmes [154,155]. Critically, these mechanisms interact with the genomic landscape of TNBC. TP53 loss, which is present in up to 80% of cases, promotes chromosomal instability that can paradoxically exhaust cGAS-STING-mediated innate immune sensing, attenuating the interferon signalling that underpins ICI responsiveness [156,157]. TGF-β pathway activation, frequently upregulated within the immunosuppressive stroma of TNBC, independently suppresses cytotoxic T-lymphocyte function and drives acquired ICI resistance through a mechanism not addressed by PD-1/PD-L1 blockade alone [49], providing a mechanistic rationale for ongoing trials of TGF-β/PD-L1 bifunctional agents in this disease. Extrinsically, expansion of immunosuppressive populations including regulatory T cells (Tregs), myeloid-derived suppressor cells (MDSCs), and M2-polarised tumour-associated macrophages (TAMs), and secretion of immunosuppressive cytokines such as TGF-beta and IL-10 collectively attenuate effector T-cell function [158].
ADC resistance mechanisms differ importantly by drug class and cannot be considered a uniform phenomenon. A pivotal preclinical study by Rampa et al. [159] demonstrated that resistance to both T-DXd and SG was driven primarily by upregulation of payload-specific efflux transporters rather than loss of target antigen expression, and that switching to ADCs with mechanistically distinct payloads, specifically microtubule inhibitors, restored antitumour activity in resistant models in vitro and in vivo [159]. These findings have direct sequencing implications. Because SG and Dato-DXd share a topoisomerase I inhibitor payload class (SN-38 and DXd respectively), cross-resistance mediated by shared efflux pathway upregulation is mechanistically plausible when one is used sequentially after the other, and retrospective data demonstrate substantially diminished efficacy when sequential TROP-2-directed ADCs are used, with markedly shorter time-to-treatment-failure for the second ADC compared with the first irrespective of order [160]. By contrast, the resistance profile of T-DXd is mechanistically distinct, characterised by HER2 antigen downregulation or binding-site mutation at the protein level, and by ABCC1 (MRP1)-mediated DXd efflux, operating independently of TROP-2 antigen status [161,162]. This mechanistic divergence explains why sequential use of a TROP-2-directed ADC after T-DXd, switching both the antibody target and exploiting residual DXd payload sensitivity, represents a more biologically rational strategy than sequential use of two Topo I-based TROP-2 ADCs, despite the shared payload class of the latter pair [159,162]. Antigen downregulation and impaired antibody internalisation remain relevant resistance mechanisms for TROP-2-directed agents, and the bystander killing effect of cleavable-linker ADCs partially compensates for antigen heterogeneity without fully overcoming efflux-mediated resistance [153].
PARP inhibitor resistance in BRCA-mutated TNBC arises through several mechanistically distinct pathways. Secondary BRCA1/2 reversion mutations, which are somatic insertions or deletions that restore the open reading frame and reconstitute functional HR protein, represent the dominant mechanism, detected in up to 60% of patients with acquired resistance by longitudinal ctDNA profiling [163]. Reversion mutations confer simultaneous cross-resistance to platinum and PARPi, reflecting their shared dependence on HR deficiency. ctDNA detection of a reversion prior to subsequent therapy has been associated with significantly shorter time to progression, supporting a role for liquid biopsy monitoring at disease progression [163,164]. Non-reversion mechanisms, including loss-of-function alterations in TP53BP1, RIF1, and PAXIP1, secondary mutations in RAD51C, RAD51D, and PALB2, and epigenetic resistance via loss of BRCA1 promoter hypermethylation, which reactivates silenced BRCA1 transcription, account for a substantial minority of cases and can co-occur with reversion mutations [164,165]. Downregulation of PARP1 expression itself represents a further target-level resistance mechanism independent of HR restoration [163,165,166].
10.4 Biomarker-Driven Treatment Selection: Opportunities and Limitations
Despite the proliferation of new agents, the majority of patients with metastatic TNBC, particularly those who are PD-L1-negative and lack HRR alterations, remain without a validated biomarker-driven treatment strategy beyond broad-population ADCs. While PARP inhibitors are approved for germline BRCA1/2-mutated disease and may have activity in selected patients with somatic BRCA or germline PALB2 mutations, these populations represent a minority of TNBC cases. PDL1 testing is complicated by inter-assay variability, and the CPS threshold of ≥10 for pembrolizumab excludes approximately 60% of patients.
The implementation of biomarker-driven therapy selection faces important technical challenges. PD-L1 testing requires non-interchangeable assay-antibody-scoring pairings. Atezolizumab requires SP142 with IC ≥1%, whilst pembrolizumab requires 22C3 with CPS ≥10, with only approximately 75–80% concordance between the two assays [167], meaning treatment eligibility may differ depending solely on which assay is performed. When results are indeterminate or technically inadequate, repeat biopsy or reflex testing with the alternative assay should be considered before classifying a patient as ICI-ineligible. HER2-low designation introduces analogous challenges, with substantial inter-observer variability at the IHC 1+ threshold. Analysis from DESTINY-Breast04 suggest that central pathology review may reclassify a proportion of tumours initially scored as HER2-0 in local practice as HER2-low, indicating potential underestimation of eligibility in routine settings [168]. Where T-DXd is being considered on the basis of a community IHC 0 result, repeat or central HER2 assessment is warranted. Use of FDA-approved companion diagnostics in preference to laboratory-developed tests remains the standard for clinical decision-making where available.
Circulating tumour DNA (ctDNA) has emerged as a promising non-invasive biomarker for real-time monitoring of tumour dynamics, early detection of molecular resistance, and prognostication in metastatic cancer, including TNBC. ctDNA reflects tumour burden, and changes in ctDNA levels often precede radiographic or clinical evidence of progression, offering an opportunity for earlier therapeutic decision-making. Low baseline ctDNA levels and early suppression or clearance of ctDNA during therapy have been associated with improved PFS and ORR across multiple targeted and systemic therapies [169].
Spatial transcriptomic and single-cell sequencing enable high-resolution mapping of tumour cellular heterogeneity and immune microenvironment organisation while preserving spatial context. These technologies provide insights into immune evasion mechanisms, stromal–immune interactions, and determinants of response and resistance in TNBC, although their current application remains primarily exploratory [170].
The FUTURE-SUPER trial provided proof-of-concept that biomarker-guided, molecularly stratified therapy may improve outcomes compared with standard chemotherapy across TNBC subtypes. This phase II umbrella study used genomic and transcriptomic profiling to assign patients to subtype-directed regimens, demonstrating an improvement in PFS compared with non-stratified chemotherapy. However, the study was exploratory and underpowered for definitive conclusions, and did not incorporate immune checkpoint blockade in the standard comparator pathway for PD-L1–positive disease [171]. These findings nevertheless support the potential value of umbrella trial designs in refining precision treatment strategies in TNBC.
10.5 Access, Equity, and Health Economic Considerations
The introduction of novel ADCs, ICI combinations, and targeted agents has substantially increased the cost of treating metastatic TNBC. Pembrolizumab, SG, T-DXd, PARP inhibitors and the emerging combination regimens all carry significant per-cycle costs that limit accessibility in lower-resource settings and present challenges for national health technology assessment bodies. Emerging strategies to improve the affordability of ICIs in resource-constrained settings are currently being explored. The phase II PLANeT trial presented at ESMO 2025 evaluated a reduced dose pembrolizumab regimen in combination with standard NACT in early TNBC. This study suggested that lower fixed doses of pembrolizumab (50 mg three-weekly for 3 cycles) may achieve pharmacokinetic exposure and preliminary clinical activity comparable to the standard 200-mg schedule. pCR was higher with low-dose pembrolizumab plus NACT vs. NACT alone group (53.8% v 40.5%, p = 0.047) [172]. This magnitude of benefit is numerically similar to historical data from standard-dose pembrolizumab in KN-522. Although these findings require validation in larger randomised trials, dose-optimisation strategies could substantially reduce treatment costs and expand access to ICIs in resource-limited healthcare systems. If confirmed, such approaches may represent an important step toward improving global equity in the management of metastatic TNBC.
The populations who bear the greatest burden of metastatic TNBC, particularly Black women and other racial/ethnic minorities, remain systematically underrepresented in the pivotal trials that define current standards of care. In ASCENT, KEYNOTE-355, and DESTINY-Breast04, Black patients comprised fewer than 10% of participants despite representing a disproportionate share of the TNBC population, and dedicated racial subgroup efficacy analyses have not been reported for most pivotal trials. Available real-world data suggest that Black women with metastatic TNBC derive clinical benefit from SG comparable to the overall ASCENT population [173]. Strategies to improve trial representation, including community-based recruitment, removal of overly restrictive eligibility criteria, and decentralised trial participation, are necessary to ensure that the evidence base reflects the populations most affected by this disease.
Ensuring equitable access to biomarker testing, including germline BRCA testing, PD-L1 IHC, and HER2 low re-assessment, and to novel therapies must be a parallel priority alongside clinical development. Risk-sharing agreements, biosimilar development, and adaptive healthcare funding models will be critical to translating the scientific advances in metastatic TNBC into population-level benefit.
10.6 Adaptive Trial Designs and Regulatory Innovation
The growing number of emerging agents and combination strategies in metastatic TNBC cannot be evaluated efficiently through conventional sequential phase III trials. Adaptive platform and umbrella trials such as the FUTURE series and SUMMIT basket trial enable simultaneous assessment of multiple therapies in molecularly defined subtypes, often using response-adaptive randomisation and seamless phase II/III designs. Master protocols incorporating ctDNA-defined cohorts provide additional efficiencies. Regulatory agencies, including the FDA and EMA, increasingly support accelerated approvals based on surrogate endpoints (ORR, PFS) in pretreated populations, with confirmatory OS data required post-approval.
Basket trials targeting shared oncogenic alterations further expand treatment options for molecularly selected TNBC patients, independent of histology. Decentralised and hybrid trial designs, incorporating remote participation and digital biomarker monitoring, may accelerate enrolment and improve access for underrepresented populations. Embedding translational sub-studies, including mandatory biopsies at baseline and progression, is critical to elucidate resistance mechanisms and identify predictive biomarkers. International collaborative networks and data-sharing frameworks will be essential to achieve the sample sizes and molecular resolution required to address the complex questions facing the field.
The treatment landscape of metastatic TNBC has undergone a remarkable and accelerating transformation over the past decade. From an era defined by sequential monotherapy chemotherapy as the sole systemic option, yielding a median OS of twelve to eighteen months, the field has entered a new paradigm driven by the convergence of ICI, ADCs, and molecularly targeted agents. Three distinct drug classes have now demonstrated PFS benefit in randomised trials: PARP inhibitors in germline BRCA-mutated disease (and in selected patients with somatic BRCA or germline PALB2 mutations), ICI in combination with chemotherapy in PD-L1-positive disease, and SG across molecularly unselected pretreated populations, with TDXd extending options to the HER2-low subpopulation. The positive results of ASCENT-04/KEYNOTE-D19, ASCENT-03, and TROPION-Breast02 presented in 2025, signify a further paradigm shift that may establish ADC-based first-line therapy, with or without checkpoint inhibition, as the new standard of care, potentially displacing conventional chemotherapy as the anchor for first-line treatment.
Yet the translation of these advances into durable, broadly accessible benefit for all patients with metastatic TNBC remains an urgent and incompletely realised goal. The majority of patients who are PD-L1-negative and BRCA wild-type still lack validated biomarker-driven options beyond chemotherapy. Resistance, whether primary or acquired, to ICI, ADCs, and targeted agents inevitably limits the durability of response, and the optimal sequencing of multiple active classes across treatment lines remains empirically unresolved. The development of shared topoisomerase I class payloads across multiple ADCs raises questions of cross-resistance that prospective clinical trials must address. Structural inequities in biomarker testing access and therapeutic availability continue to limit the real-world impact of clinical advances, particularly for populations with the highest TNBC incidence and the least access to healthcare resources.
Looking forwards, the integration of molecular subtyping, liquid biopsy-guided dynamic monitoring, and rational combination strategies offer the most credible path toward improving long-term outcomes. Adaptive platform trial designs capable of rapidly evaluating emerging combinations in biomarker-defined populations will be essential to keep pace with the remarkable breadth of agents in late-stage development, including novel payload ADCs, bispecific antibodies, cancer vaccines, PARP1-selective inhibitors, and cell-based therapies. Continued investment in translational research, equitable access to genomic diagnostics, and meaningful inclusion of under-represented populations in clinical trials are not only scientific priorities but moral imperatives in a disease that disproportionately affects young women in the prime of life.
In summary, metastatic TNBC has evolved from a uniformly chemotherapy-treated disease to a biomarker-stratified therapeutic landscape shaped by ICIs, PARP inhibitors, and ADCs. While these advances have improved outcomes for defined subgroups, substantial unmet need persists, particularly among patients without actionable biomarkers and those with treatment-refractory or CNS disease. Resistance to current therapeutic classes and uncertainty around optimal sequencing continue to limit the durability of benefit across the disease course. Future progress will depend on refined biomarker development, rational combination and sequencing strategies, and resistance-informed therapeutic development supported by robust translational science and global collaborative clinical trials.
Acknowledgement:
Funding Statement: The authors received no specific funding for this study.
Author Contributions: Conceptualization: Iseult M. Browne, Alicia F. C. Okines; Methodology: Iseult M. Browne, Alicia F. C. Okines; Writing—original draft preparation: Iseult M. Browne, Alicia F. C. Okines; Writing—review and editing: Iseult M. Browne, Alicia F. C. Okines, Monica Esteban Garcia. All authors reviewed and approved the final version of the manuscript.
Availability of Data and Materials: Not applicable.
Ethics Approval: Not applicable.
Conflicts of Interest: The authors declare no conflicts of interest.
References
1. Sung H , Ferlay J , Siegel RL , Laversanne M , Soerjomataram I , Jemal A , et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021; 71( 3): 209– 49. doi:10.3322/caac.21660. [Google Scholar] [CrossRef]
2. Zagami P , Carey LA . Triple negative breast cancer: pitfalls and progress. npj Breast Cancer. 2022; 8( 1): 95. doi:10.1038/s41523-022-00468-0. [Google Scholar] [CrossRef]
3. Dent R , Trudeau M , Pritchard KI , Hanna WM , Kahn HK , Sawka CA , et al. Triple-negative breast cancer: clinical features and patterns of recurrence. Clin Cancer Res. 2007; 13( 15): 4429– 34. doi:10.1158/1078-0432.ccr-06-3045. [Google Scholar] [CrossRef]
4. Anders CK , Carey LA . Biology, metastatic patterns, and treatment of patients with triple-negative breast cancer. Clin Breast Cancer. 2009; 9( Suppl 2): S73– S81. doi:10.3816/CBC.2009.s.008. [Google Scholar] [CrossRef]
5. Kohler BA , Sherman RL , Howlader N , Jemal A , Ryerson AB , Henry KA , et al. Annual report to the nation on the status of cancer, 1975-2011, featuring incidence of breast cancer subtypes by race/ethnicity, poverty, and state. J Natl Cancer Inst. 2015; 107( 6): djv048. doi:10.1093/jnci/djv048. [Google Scholar] [CrossRef]
6. Mavaddat N , Barrowdale D , Andrulis IL , Domchek SM , Eccles D , Nevanlinna H , et al. Pathology of breast and ovarian cancers among BRCA1 and BRCA2 mutation carriers: results from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). Cancer Epidemiol Biomarkers Prev. 2012; 21( 1): 134– 47. doi:10.1158/1055-9965.EPI-11-0775. [Google Scholar] [CrossRef]
7. Ribeiro HF , Pelloso FC , da Fonseca BS , Camparoto CW , de Barros Carvalho MD , Marques VD , et al. Racial and socioeconomic disparity in breast cancer mortality: a systematic review and meta-analysis. Cancers. 2025; 17( 10): 1641. doi:10.3390/cancers17101641. [Google Scholar] [CrossRef]
8. Kassam F , Enright K , Dent R , Dranitsaris G , Myers J , Flynn C , et al. Survival outcomes for patients with metastatic triple-negative breast cancer: implications for clinical practice and trial design. Clin Breast Cancer. 2009; 9( 1): 29– 33. doi:10.3816/CBC.2009.n.005. [Google Scholar] [CrossRef]
9. American Cancer Society . Breast cancer facts & figures. 2022–2024. Atlanta, GA, USA: American Cancer Society; 2022. [Google Scholar]
10. Lin NU , Claus E , Sohl J , Razzak AR , Arber AM , Winer EP . Sites of distant recurrence and clinical outcomes in patients with metastatic triple-negative breast cancer: high incidence of central nervous system metastases. Cancer. 2008; 113( 10): 2638– 45. doi:10.1002/cncr.23930. [Google Scholar] [CrossRef]
11. Jin J , Gao Y , Zhang J , Wang L , Wang B , Cao J , et al. Incidence, pattern and prognosis of brain metastases in patients with metastatic triple negative breast cancer. BMC Cancer. 2018; 18( 1): 446. doi:10.1186/s12885-018-4371-0. [Google Scholar] [CrossRef]
12. Criscitiello C , Azim HA , Schouten PC , Linn SC , Sotiriou C . Understanding the biology of triple-negative breast cancer. Ann Oncol. 2012; 23: vi13– 8. doi:10.1093/annonc/mds188. [Google Scholar] [CrossRef]
13. Lehmann BD , Jovanović B , Chen X , Estrada MV , Johnson KN , Shyr Y , et al. Refinement of triple-negative breast cancer molecular subtypes: implications for neoadjuvant chemotherapy selection. PLoS One. 2016; 11( 6): e0157368. doi:10.1371/journal.pone.0157368. [Google Scholar] [CrossRef]
14. Hines SL , Vallow LA , Tan WW , McNeil RB , Perez EA , Jain A . Clinical outcomes after a diagnosis of brain metastases in patients with estrogen- and/or human epidermal growth factor receptor 2-positive versus triple-negative breast cancer. Ann Oncol. 2008; 19( 9): 1561– 5. doi:10.1093/annonc/mdn283. [Google Scholar] [CrossRef]
15. Cortes J , Cescon DW , Rugo HS , Nowecki Z , Im SA , Yusof MM , et al. Pembrolizumab plus chemotherapy versus placebo plus chemotherapy for previously untreated locally recurrent inoperable or metastatic triple-negative breast cancer (KEYNOTE-355): a randomised, placebo-controlled, double-blind, phase 3 clinical trial. Lancet. 2020; 396( 10265): 1817– 28. doi:10.1016/S0140-6736(20)32531-9. [Google Scholar] [CrossRef]
16. Schmid P , Adams S , Rugo HS , Schneeweiss A , Barrios CH , Iwata H , et al. Atezolizumab and nab-paclitaxel in advanced triple-negative breast cancer. N Engl J Med. 2018; 379( 22): 2108– 21. doi:10.1056/nejmoa1809615. [Google Scholar] [CrossRef]
17. Bardia A , Hurvitz SA , Tolaney SM , Loirat D , Punie K , Oliveira M , et al. Sacituzumab govitecan in metastatic triple-negative breast cancer. N Engl J Med. 2021; 384( 16): 1529– 41. doi:10.1056/nejmoa2028485. [Google Scholar] [CrossRef]
18. Modi S , Jacot W , Yamashita T , Sohn J , Vidal M , Tokunaga E , et al. Trastuzumab deruxtecan in previously treated HER2-low advanced breast cancer. N Engl J Med. 2022; 387( 1): 9– 20. doi:10.1056/NEJMoa2203690. [Google Scholar] [CrossRef]
19. Cortés J , Punie K , Barrios C , Hurvitz SA , Schneeweiss A , Sohn J , et al. Sacituzumab govitecan in untreated, advanced triple-negative breast cancer. N Engl J Med. 2025; 393( 19): 1912– 25. doi:10.1056/nejmoa2511734. [Google Scholar] [CrossRef]
20. Tolaney SM , de Azambuja E , Kalinsky K , Loi S , Kim SB , Yam C , et al. Sacituzumab govitecan plus pembrolizumab for advanced triple-negative breast cancer. N Engl J Med. 2026; 394( 4): 354– 66. doi:10.1056/NEJMoa2508959. [Google Scholar] [CrossRef]
21. Punie K , Kurian AW , Ntalla I , Sjekloca N , Estrin A , Dabrowski EC , et al. Unmet need for previously untreated metastatic triple-negative breast cancer: a real-world study of patients diagnosed from 2011 to 2022 in the United States. Oncologist. 2025; 30( 3): oyaf034. doi:10.1093/oncolo/oyaf034. [Google Scholar] [CrossRef]
22. Dent RA , Shao Z , Schmid P , Cortés JC , Cescon DW , Saji S , et al. LBA21 First-line (1L) datopotamab deruxtecan (Dato-DXd) vs. chemotherapy in patients with locally recurrent inoperable or metastatic triple-negative breast cancer (mTNBC) for whom immunotherapy was not an option: primary results from the randomised, phase III TROPION-Breast02 trial. Ann Oncol. 2025; 36: S1566– 7. doi:10.1016/j.annonc.2025.09.031. [Google Scholar] [CrossRef]
23. Lehmann BD , Bauer JA , Chen X , Sanders ME , Chakravarthy AB , Shyr Y , et al. Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies. J Clin Investig. 2011; 121( 7): 2750– 67. doi:10.1172/JCI45014. [Google Scholar] [CrossRef]
24. Masuda H , Baggerly KA , Wang Y , Zhang Y , Gonzalez-Angulo AM , Meric-Bernstam F , et al. Differential response to neoadjuvant chemotherapy among 7 triple-negative breast cancer molecular subtypes. Clin Cancer Res. 2013; 19( 19): 5533– 40. doi:10.1158/1078-0432.ccr-13-0799. [Google Scholar] [CrossRef]
25. Lehmann BD , Bauer JA , Schafer JM , Pendleton CS , Tang L , Johnson KC , et al. PIK3CA mutations in androgen receptor-positive triple negative breast cancer confer sensitivity to the combination of PI3K and androgen receptor inhibitors. Breast Cancer Res. 2014; 16( 4): 406. doi:10.1186/s13058-014-0406-x. [Google Scholar] [CrossRef]
26. Prat A , Parker JS , Karginova O , Fan C , Livasy C , Herschkowitz JI , et al. Phenotypic and molecular characterization of the claudin-low intrinsic subtype of breast cancer. Breast Cancer Res. 2010; 12( 5): R68. doi:10.1186/bcr2635. [Google Scholar] [CrossRef]
27. Bareche Y , Buisseret L , Gruosso T , Girard E , Venet D , Dupont F , et al. Unraveling triple-negative breast cancer tumor microenvironment heterogeneity: towards an optimized treatment approach. J Natl Cancer Inst. 2020; 112( 7): 708– 19. doi:10.1093/jnci/djz208. [Google Scholar] [CrossRef]
28. Shah SP , Roth A , Goya R , Oloumi A , Ha G , Zhao Y , et al. The clonal and mutational evolution spectrum of primary triple-negative breast cancers. Nature. 2012; 486( 7403): 395– 9. doi:10.1038/nature10933. [Google Scholar] [CrossRef]
29. Chehade R , Awan AA , Fernandes R . A narrative review of biomarkers in advanced triple negative breast cancer. Precis Cancer Med. 2021; 4: 24. doi:10.21037/pcm-20-76. [Google Scholar] [CrossRef]
30. Turner NC , Kingston B , Kilburn LS , Kernaghan S , Wardley AM , MacPherson IR , et al. Circulating tumour DNA analysis to direct therapy in advanced breast cancer (plasmaMATCH): a multicentre, multicohort, phase 2a, platform trial. Lancet Oncol. 2020; 21( 10): 1296– 308. doi:10.1016/S1470-2045(20)30444-7. [Google Scholar] [CrossRef]
31. Timms KM , Abkevich V , Hughes E , Neff C , Reid J , Morris B , et al. Association of BRCA1/2defects with genomic scores predictive of DNA damage repair deficiency among breast cancer subtypes. Breast Cancer Res. 2014; 16( 6): 475. doi:10.1186/s13058-014-0475-x. [Google Scholar] [CrossRef]
32. Tung NM , Robson ME , Ventz S , Santa-Maria CA , Nanda R , Marcom PK , et al. TBCRC 048: phase II study of olaparib for metastatic breast cancer and mutations in homologous recombination-related genes. J Clin Oncol. 2020; 38( 36): 4274– 82. doi:10.1200/JCO.20.02151. [Google Scholar] [CrossRef]
33. Turner N , Lambros MB , Horlings HM , Pearson A , Sharpe R , Natrajan R , et al. Integrative molecular profiling of triple negative breast cancers identifies amplicon drivers and potential therapeutic targets. Oncogene. 2010; 29( 14): 2013– 23. doi:10.1038/onc.2009.489. [Google Scholar] [CrossRef]
34. André F , Bachelot T , Campone M , Dalenc F , Perez-Garcia JM , Hurvitz SA , et al. Targeting FGFR with dovitinib (TKI258): preclinical and clinical data in breast cancer. Clin Cancer Res. 2013; 19( 13): 3693– 702. doi:10.1158/1078-0432.CCR-13-0190. [Google Scholar] [CrossRef]
35. Okines AFC , Curigliano G , Mizuno N , Oh DY , Rorive A , Soliman H , et al. Tucatinib and trastuzumab in HER2-mutated metastatic breast cancer: a phase 2 basket trial. Nat Med. 2025; 31( 3): 909– 16. doi:10.1038/s41591-024-03462-0. [Google Scholar] [CrossRef]
36. Ben-Baruch NE , Bose R , Kavuri SM , Ma CX , Ellis MJ . HER2-mutated breast cancer responds to treatment with single-agent neratinib, a second-generation HER2/EGFR tyrosine kinase inhibitor. J Natl Compr Canc Netw. 2015; 13( 9): 1061– 4. doi:10.6004/jnccn.2015.0131. [Google Scholar] [CrossRef]
37. Li BT , Meric-Bernstam F , Bardia A , Naito Y , Siena S , Aftimos P , et al. Trastuzumab deruxtecan in patients with solid tumours harbouring specific activating HER2 mutations (DESTINY-PanTumor01): an international, phase 2 study. Lancet Oncol. 2024; 25( 6): 707– 19. doi:10.1016/S1470-2045(24)00140-2. [Google Scholar] [CrossRef]
38. Traina TA , Miller K , Yardley DA , Eakle J , Schwartzberg LS , O’Shaughnessy J , et al. Enzalutamide for the treatment of androgen receptor–expressing triple-negative breast cancer. J Clin Oncol. 2018; 36( 9): 884– 90. doi:10.1200/jco.2016.71.3495. [Google Scholar] [CrossRef]
39. Bonnefoi H , Grellety T , Tredan O , Saghatchian M , Dalenc F , Mailliez A , et al. A phase II trial of abiraterone acetate plus prednisone in patients with triple-negative androgen receptor positive locally advanced or metastatic breast cancer (UCBG 12-1). Ann Oncol. 2016; 27( 5): 812– 8. doi:10.1093/annonc/mdw067. [Google Scholar] [CrossRef]
40. Bonnefoi H , Lerebours F , Pulido M , Arnedos M , Tredan O , Dalenc F , et al. Darolutamide or capecitabine in triple-negative, androgen receptor-positive, advanced breast cancer (UCBG 3-06 START): a multicentre, non-comparative, randomised, phase 2 trial. Lancet Oncol. 2025; 26( 3): 355– 66. doi:10.1016/S1470-2045(24)00737-X. [Google Scholar] [CrossRef]
41. Bardia A , Tolaney SM , Punie K , Loirat D , Oliveira M , Kalinsky K , et al. Biomarker analyses in the phase III ASCENT study of sacituzumab govitecan versus chemotherapy in patients with metastatic triple-negative breast cancer. Ann Oncol. 2021; 32( 9): 1148– 56. doi:10.1016/j.annonc.2021.06.002. [Google Scholar] [CrossRef]
42. Adams S , Gray RJ , Demaria S , Goldstein L , Perez EA , Shulman LN , et al. Prognostic value of tumor-infiltrating lymphocytes in triple-negative breast cancers from two phase III randomized adjuvant breast cancer trials: ECOG 2197 and ECOG 1199. J Clin Oncol. 2014; 32( 27): 2959– 66. doi:10.1200/JCO.2013.55.0491. [Google Scholar] [CrossRef]
43. Loi S , Sirtaine N , Piette F , Salgado R , Viale G , Van Eenoo F , et al. Prognostic and predictive value of tumor-infiltrating lymphocytes in a phase III randomized adjuvant breast cancer trial in node-positive breast cancer comparing the addition of docetaxel to doxorubicin with doxorubicin-based chemotherapy: BIG 02-98. J Clin Oncol. 2013; 31( 7): 860– 7. doi:10.1200/JCO.2011.41.0902. [Google Scholar] [CrossRef]
44. Emens LA , Molinero L , Loi S , Rugo HS , Schneeweiss A , Diéras V , et al. Atezolizumab and nab-paclitaxel in advanced triple-negative breast cancer: biomarker evaluation of the IMpassion130 study. J Natl Cancer Inst. 2021; 113( 8): 1005– 16. doi:10.1093/jnci/djab004. [Google Scholar] [CrossRef]
45. Biswas SK , Mantovani A . Macrophage plasticity and interaction with lymphocyte subsets: cancer as a paradigm. Nat Immunol. 2010; 11( 10): 889– 96. doi:10.1038/ni.1937. [Google Scholar] [CrossRef]
46. Yuan ZY , Luo RZ , Peng RJ , Wang SS , Xue C . High infiltration of tumor-associated macrophages in triple-negative breast cancer is associated with a higher risk of distant metastasis. OncoTargets Ther. 2014; 7: 1475– 80. doi:10.2147/OTT.S61838. [Google Scholar] [CrossRef]
47. Ries CH , Cannarile MA , Hoves S , Benz J , Wartha K , Runza V , et al. Targeting tumor-associated macrophages with anti-CSF-1R antibody reveals a strategy for cancer therapy. Cancer Cell. 2014; 25( 6): 846– 59. doi:10.1016/j.ccr.2014.05.016. [Google Scholar] [CrossRef]
48. Liu X , Pu Y , Cron K , Deng L , Kline J , Frazier WA , et al. CD47 blockade triggers T cell-mediated destruction of immunogenic tumors. Nat Med. 2015; 21( 10): 1209– 15. doi:10.1038/nm.3931. [Google Scholar] [CrossRef]
49. Mariathasan S , Turley SJ , Nickles D , Castiglioni A , Yuen K , Wang Y , et al. TGFβ attenuates tumour response to PD-L1 blockade by contributing to exclusion of T cells. Nature. 2018; 554( 7693): 544– 8. doi:10.1038/nature25501. [Google Scholar] [CrossRef]
50. Jia H , Chen X , Zhang L , Chen M . Cancer associated fibroblasts in cancer development and therapy. J Hematol Oncol. 2025; 18( 1): 36. doi:10.1186/s13045-025-01688-0. [Google Scholar] [CrossRef]
51. Obeagu EI . N2 neutrophils and tumor progression in breast cancer: molecular pathways and implications. Breast Cancer. 2025; 17: 639– 51. doi:10.2147/BCTT.S542787. [Google Scholar] [CrossRef]
52. Gradishar WJ , Anderson BO , Balassanian R , Blair SL , Burstein HJ , Cyr A , et al. Breast cancer, version 4.2017, NCCN clinical practice guidelines in oncology. J Natl Compr Canc Netw. 2018; 16( 3): 310– 20. doi:10.6004/jnccn.2018.0012. [Google Scholar] [CrossRef]
53. Zeichner SB , Terawaki H , Gogineni K . A review of systemic treatment in metastatic triple-negative breast cancer. Breast Cancer Basic Clin Res. 2016; 10: 25– 36. doi:10.4137/bcbcr.s32783. [Google Scholar] [CrossRef]
54. Rugo HS , Barry WT , Moreno-Aspitia A , Lyss AP , Cirrincione C , Leung E , et al. Randomized phase III trial of paclitaxel once per week compared with nanoparticle albumin-bound nab-paclitaxel once per week or ixabepilone with bevacizumab as first-line chemotherapy for locally recurrent or metastatic breast cancer: CALGB 40502/NCCTG N063H (alliance). J Clin Oncol. 2015; 33( 21): 2361– 9. doi:10.1200/jco.2014.59.5298. [Google Scholar] [CrossRef]
55. Miller K , Wang M , Gralow J , Dickler M , Cobleigh M , Perez EA , et al. Paclitaxel plus bevacizumab versus paclitaxel alone for metastatic breast cancer. N Engl J Med. 2007; 357( 26): 2666– 76. doi:10.1056/NEJMoa072113. [Google Scholar] [CrossRef]
56. Robert NJ , Diéras V , Glaspy J , Brufsky AM , Bondarenko I , Lipatov ON , et al. RIBBON-1: randomized, double-blind, placebo-controlled, phase III trial of chemotherapy with or without bevacizumab for first-line treatment of human epidermal growth factor receptor 2-negative, locally recurrent or metastatic breast cancer. J Clin Oncol. 2011; 29( 10): 1252– 60. doi:10.1200/JCO.2010.28.0982. [Google Scholar] [CrossRef]
57. Untch M , Jackisch C , Schneeweiss A , Conrad B , Aktas B , Denkert C , et al. Nab-paclitaxel versus solvent-based paclitaxel in neoadjuvant chemotherapy for early breast cancer (GeparSepto-GBG 69): a randomised, phase 3 trial. Lancet Oncol. 2016; 17( 3): 345– 56. doi:10.1016/S1470-2045(15)00542-2. [Google Scholar] [CrossRef]
58. Geyer CE , Sikov WM , Huober J , Rugo HS , Wolmark N , O’Shaughnessy J , et al. Long-term efficacy and safety of addition of carboplatin with or without veliparib to standard neoadjuvant chemotherapy in triple-negative breast cancer: 4-year follow-up data from BrighTNess, a randomized phase III trial. Ann Oncol. 2022; 33( 4): 384– 94. doi:10.1016/j.annonc.2022.01.009. [Google Scholar] [CrossRef]
59. von Minckwitz G , Schneeweiss A , Loibl S , Salat C , Denkert C , Rezai M , et al. Neoadjuvant carboplatin in patients with triple-negative and HER2-positive early breast cancer (GeparSixto; GBG 66): a randomised phase 2 trial. Lancet Oncol. 2014; 15( 7): 747– 56. doi:10.1016/S1470-2045(14)70160-3. [Google Scholar] [CrossRef]
60. Tutt A , Tovey H , Cheang MCU , Kernaghan S , Kilburn L , Gazinska P , et al. Carboplatin in BRCA1/2-mutated and triple-negative breast cancer BRCAness subgroups: the TNT Trial. Nat Med. 2018; 24( 5): 628– 37. doi:10.1038/s41591-018-0009-7. [Google Scholar] [CrossRef]
61. Cortes J , O’Shaughnessy J , Loesch D , Blum JL , Vahdat LT , Petrakova K , et al. Eribulin monotherapy versus treatment of physician’s choice in patients with metastatic breast cancer (EMBRACE): a phase 3 open-label randomised study. Lancet. 2011; 377( 9769): 914– 23. doi:10.1016/S0140-6736(11)60070-6. [Google Scholar] [CrossRef]
62. Dean M , Fojo T , Bates S . Tumour stem cells and drug resistance. Nat Rev Cancer. 2005; 5( 4): 275– 84. doi:10.1038/nrc1590. [Google Scholar] [CrossRef]
63. Swain SM , Whaley FS , Ewer MS . Congestive heart failure in patients treated with doxorubicin: A retrospective analysis of three trials. Cancer. 2003; 97( 11): 2869– 79. doi:10.1002/cncr.11407. [Google Scholar] [CrossRef]
64. Seretny M , Currie GL , Sena ES , Ramnarine S , Grant R , MacLeod MR , et al. Incidence, prevalence, and predictors of chemotherapy-induced peripheral neuropathy: a systematic review and meta-analysis. Pain. 2014; 155( 12): 2461– 70. doi:10.1016/j.pain.2014.09.020. [Google Scholar] [CrossRef]
65. Emens LA , Adams S , Barrios CH , Diéras V , Iwata H , Loi S , et al. First-line atezolizumab plus nab-paclitaxel for unresectable, locally advanced, or metastatic triple-negative breast cancer: IMpassion130 final overall survival analysis. Ann Oncol. 2021; 32( 8): 983– 93. doi:10.1016/j.annonc.2021.05.355. [Google Scholar] [CrossRef]
66. Miles D , Gligorov J , André F , Cameron D , Schneeweiss A , Barrios C , et al. Primary results from IMpassion131, a double-blind, placebo-controlled, randomised phase III trial of first-line paclitaxel with or without atezolizumab for unresectable locally advanced/metastatic triple-negative breast cancer. Ann Oncol. 2021; 32( 8): 994– 1004. doi:10.1016/j.annonc.2021.05.801. [Google Scholar] [CrossRef]
67. Cortes J , Rugo HS , Cescon DW , Im SA , Yusof MM , Gallardo C , et al. Pembrolizumab plus chemotherapy in advanced triple-negative breast cancer. N Engl J Med. 2022; 387( 3): 217– 26. doi:10.1056/nejmoa2202809. [Google Scholar] [CrossRef]
68. Winer EP , Lipatov O , Im SA , Goncalves A , Muñoz-Couselo E , Lee KS , et al. Pembrolizumab versus investigator-choice chemotherapy for metastatic triple-negative breast cancer (KEYNOTE-119): a randomised, open-label, phase 3 trial. Lancet Oncol. 2021; 22( 4): 499– 511. doi:10.1016/S1470-2045(20)30754-3. [Google Scholar] [CrossRef]
69. Adams S , Schmid P , Rugo HS , Winer EP , Loirat D , Awada A , et al. Pembrolizumab monotherapy for previously treated metastatic triple-negative breast cancer: cohort A of the phase II KEYNOTE-086 study. Ann Oncol. 2019; 30( 3): 397– 404. doi:10.1093/annonc/mdy518. [Google Scholar] [CrossRef]
70. Alsaafeen BH , Ali BR , Elkord E . Resistance mechanisms to immune checkpoint inhibitors: updated insights. Mol Cancer. 2025; 24( 1): 20. doi:10.1186/s12943-024-02212-7. [Google Scholar] [CrossRef]
71. Winer EP , Lipatov O , Im SA , Goncalves A , Muñoz-Couselo E , Lee KS , et al. Association of tumor mutational burden (TMB) and clinical outcomes with pembrolizumab (pembro) versus chemotherapy (chemo) in patients with metastatic triple-negative breast cancer (mTNBC) from KEYNOTE-119. J Clin Oncol. 2020; 38( 15_suppl): 1013. doi:10.1200/jco.2020.38.15_suppl.1013. [Google Scholar] [CrossRef]
72. O’Meara TA , Tolaney SM . Tumor mutational burden as a predictor of immunotherapy response in breast cancer. Oncotarget. 2021; 12( 5): 394– 400. doi:10.18632/oncotarget.27877. [Google Scholar] [CrossRef]
73. Dent R , André F , Gonçalves A , Martin M , Schmid P , Schütz F , et al. IMpassion132 double-blind randomised phase III trial of chemotherapy with or without atezolizumab for early relapsing unresectable locally advanced or metastatic triple-negative breast cancer. Ann Oncol. 2024; 35( 7): 630– 42. doi:10.1016/j.annonc.2024.04.001. [Google Scholar] [CrossRef]
74. Zhang Y , Asad S , Weber Z , Tallman D , Nock W , Wyse M , et al. Genomic features of rapid versus late relapse in triple negative breast cancer. BMC Cancer. 2021; 21( 1): 568. doi:10.1186/s12885-021-08320-7. [Google Scholar] [CrossRef]
75. Beck A , Goetsch L , Dumontet C , Corvaïa N . Strategies and challenges for the next generation of antibody-drug conjugates. Nat Rev Drug Discov. 2017; 16( 5): 315– 37. doi:10.1038/nrd.2016.268. [Google Scholar] [CrossRef]
76. Ogitani Y , Hagihara K , Oitate M , Naito H , Agatsuma T . Bystander killing effect of DS-8201a, a novel anti-human epidermal growth factor receptor 2 antibody-drug conjugate, in tumors with human epidermal growth factor receptor 2 heterogeneity. Cancer Sci. 2016; 107( 7): 1039– 46. doi:10.1111/cas.12966. [Google Scholar] [CrossRef]
77. Riccardi F , Dal Bo M , Macor P , Toffoli G . A comprehensive overview on antibody-drug conjugates: from the conceptualization to cancer therapy. Front Pharmacol. 2023; 14: 1274088. doi:10.3389/fphar.2023.1274088. [Google Scholar] [CrossRef]
78. Goldenberg DM , Sharkey RM . Sacituzumab govitecan, a novel, third-generation, antibody-drug conjugate (ADC) for cancer therapy. Expert Opin Biol Ther. 2020; 20( 8): 871– 85. doi:10.1080/14712598.2020.1757067. [Google Scholar] [CrossRef]
79. Kroemer G , Galassi C , Zitvogel L , Galluzzi L . Immunogenic cell stress and death. Nat Immunol. 2022; 23( 4): 487– 500. doi:10.1038/s41590-022-01132-2. [Google Scholar] [CrossRef]
80. Cardillo TM , Govindan SV , Sharkey RM , Trisal P , Arrojo R , Liu D , et al. Sacituzumab govitecan (IMMU-132), an anti-trop-2/SN-38 antibody–drug conjugate: characterization and efficacy in pancreatic, gastric, and other cancers. Bioconjugate Chem. 2015; 26( 5): 919– 31. doi:10.1021/acs.bioconjchem.5b00223. [Google Scholar] [CrossRef]
81. Hurvitz SA , Bardia A , Punie K , Kalinsky K , Carey LA , Rugo HS , et al. Subgroup analyses from the phase 3 ASCENT study of sacituzumab govitecan in metastatic triple-negative breast cancer. npj Breast Cancer. 2024; 10: 33. doi:10.1038/s41523-024-00635-5. [Google Scholar] [CrossRef]
82. Okajima D , Yasuda S , Maejima T , Karibe T , Sakurai K , Aida T , et al. Datopotamab deruxtecan, a novel TROP2-directed antibody-drug conjugate, demonstrates potent antitumor activity by efficient drug delivery to tumor cells. Mol Cancer Ther. 2021; 20( 12): 2329– 40. doi:10.1158/1535-7163.MCT-21-0206. [Google Scholar] [CrossRef]
83. Bardia A , Krop IE , Kogawa T , Juric D , Tolcher AW , Hamilton EP , et al. Datopotamab deruxtecan in advanced or metastatic HR+/HER2–and triple-negative breast cancer: results from the phase I TROPION-PanTumor01 study. J Clin Oncol. 2024; 42( 19): 2281– 94. doi:10.1200/jco.23.01909. [Google Scholar] [CrossRef]
84. Schmid P , Wysocki PJ , Ma CX , Park YH , Fernandes R , Lord S , et al. 379MO Datopotamab deruxtecan (Dato-DXd) + durvalumab (D) as first-line (1L) treatment for unresectable locally advanced/metastatic triple-negative breast cancer (a/mTNBC): updated results from BEGONIA, a phase Ib/II study. Ann Oncol. 2023; 34: S337. doi:10.1016/j.annonc.2023.09.556. [Google Scholar] [CrossRef]
85. Wang J , Tong Z , Tan Y , Shi Y , Wu Y , Zhou Q , et al. Phase 1a study of ESG401, a Trop2 antibody-drug conjugate, in patients with locally advanced/metastatic solid tumors. Cell Rep Med. 2024; 5( 9): 101707. doi:10.1016/j.xcrm.2024.101707. [Google Scholar] [CrossRef]
86. Ma F , Qiu F , Tong Z , Wang J , Shi Y , Zhang Y , et al. 349MO Results from a phase Ia/Ib Study of ESG401, a novel Trop2 antibody-drug conjugate, in patients with different subtypes of metastatic breast cancer. Ann Oncol. 2024; 35: S361– 2. doi:10.1016/j.annonc.2024.08.297. [Google Scholar] [CrossRef]
87. Cheng Y , Yuan X , Tian Q , Huang X , Chen Y , Pu Y , et al. Preclinical profiles of SKB264, a novel anti-TROP2 antibody conjugated to topoisomerase inhibitor, demonstrated promising antitumor efficacy compared to IMMU-132. Front Oncol. 2022; 12: 951589. doi:10.3389/fonc.2022.951589. [Google Scholar] [CrossRef]
88. Ouyang Q , Rodon J , Liang Y , Wu X , Li Q , Song L , et al. Results of a phase 1/2 study of sacituzumab tirumotecan in patients with unresectable locally advanced or metastatic solid tumors refractory to standard therapies. J Hematol Oncol. 2025; 18( 1): 61. doi:10.1186/s13045-025-01705-2. [Google Scholar] [CrossRef]
89. Yin Y , Fan Y , Ouyang Q , Song L , Wang X , Li W , et al. Sacituzumab tirumotecan in previously treated metastatic triple-negative breast cancer: a randomized phase 3 trial. Nat Med. 2025; 31( 6): 1969– 75. doi:10.1038/s41591-025-03630-w. [Google Scholar] [CrossRef]
90. Yin Y , Ouyang Q , Yan M , Zhang J , Song L , Li W , et al. Sacituzumab tirumotecan (sac-TMT) as first-line treatment for unresectable locally advanced/metastatic triple-negative breast cancer (a/mTNBC): initial results from the phase II OptiTROP-Breast05 study. J Clin Oncol. 2025; 43( 16_suppl): 1019. doi:10.1200/jco.2025.43.16_suppl.1019. [Google Scholar] [CrossRef]
91. Taylor KM , Morgan HE , Johnson A , Hadley LJ , Nicholson RI . Structure-function analysis of LIV-1, the breast cancer-associated protein that belongs to a new subfamily of zinc transporters. Biochem J. 2003; 375( Pt 1): 51– 9. doi:10.1042/BJ20030478. [Google Scholar] [CrossRef]
92. Modi S , Pusztai L , Forero A , Mita M , Miller KD , Weise A , et al. Abstract PD3-14: phase 1 study of the antibody-drug conjugate SGN-LIV1A in patients with heavily pretreated triple-negative metastatic breast cancer. Cancer Res. 2018; 78( 4_Supplement): PD3-14. doi:10.1158/1538-7445.sabcs17-pd3-14. [Google Scholar] [CrossRef]
93. Han HH , Diab S , Alemany C , Basho R , Brown-Glaberman U , Meisel J , et al. Abstract PD1-06: open label phase 1b/2 study of ladiratuzumab vedotin in combination with pembrolizumab for first-line treatment of patients with unresectable locally-advanced or metastatic triple-negative breast cancer. Cancer Res. 2020; 80( 4_Supplement): PD1-06. doi:10.1158/1538-7445.sabcs19-pd1-06. [Google Scholar] [CrossRef]
94. Meisel JL , Pluard TJ , Vinayak S , Stringer-Reasor EM , Brown-Glaberman U , Dillon PM , et al. Phase 1b/2 study of ladiratuzumab vedotin (LV) in combination with pembrolizumab for first-line treatment of triple-negative breast cancer (SGNLVA-002, trial in progress). J Clin Oncol. 2022; 40( 16_suppl): TPS1127. doi:10.1200/jco.2022.40.16_suppl.tps1127. [Google Scholar] [CrossRef]
95. Mishra R , Hanker AB , Garrett JT . Genomic alterations of ERBB receptors in cancer: clinical implications. Oncotarget. 2017; 8( 69): 114371– 92. doi:10.18632/oncotarget.22825. [Google Scholar] [CrossRef]
96. Krop IE , Masuda N , Mukohara T , Takahashi S , Nakayama T , Inoue K , et al. Patritumab deruxtecan (HER3-DXd), a human epidermal growth factor receptor 3-directed antibody-drug conjugate, in patients with previously treated human epidermal growth factor receptor 3-expressing metastatic breast cancer: a multicenter, phase I/II trial. J Clin Oncol. 2023; 41( 36): 5550– 60. doi:10.1200/JCO.23.00882. [Google Scholar] [CrossRef]
97. Preusser M , Garde-Noguera J , García-Mosquera JJ , Gion M , Greil R , Arumi M , et al. Patritumab deruxtecan in leptomeningeal metastatic disease of solid tumors: the phase 2 TUXEDO-3 trial. Nat Med. 2025; 31( 8): 2797– 805. doi:10.1038/s41591-025-03744-1. [Google Scholar] [CrossRef]
98. Gampenrieder SP , Dezentjé V , Lambertini M , de Nonneville A , Marhold M , Le Du F , et al. Influence of HER2 expression on prognosis in metastatic triple-negative breast cancer—results from an international, multicenter analysis coordinated by the AGMT Study Group. ESMO Open. 2023; 8( 1): 100747. doi:10.1016/j.esmoop.2022.100747. [Google Scholar] [CrossRef]
99. Rakha EA , Tan PH , Van Bockstal MR , Allison KH , Brogi E , Callagy G , et al. International expert consensus recommendations for HER2 reporting in breast cancer: focus on HER2-low and ultralow categories. Mod Pathol. 2026; 39( 1): 100925. doi:10.1016/j.modpat.2025.100925. [Google Scholar] [CrossRef]
100. Curigliano G , Hu X , Dent RA , Yonemori K , Barrios CH Sr , O’Shaughnessy J , et al. Trastuzumab deruxtecan (T-DXd) vs. physician’s choice of chemotherapy (TPC) in patients (pts) with hormone receptor-positive (HR+), human epidermal growth factor receptor 2 (HER2)-low or HER2-ultralow metastatic breast cancer (mBC) with prior endocrine therapy (ET): primary results from DESTINY-Breast06 (DB-06). J Clin Oncol. 2024; 42( 17_suppl): LBA1000. doi:10.1200/jco.2024.42.17_suppl.lba1000. [Google Scholar] [CrossRef]
101. Modi S , Jacot W , Yamashita T , Sohn J , Vidal M , Tokunaga E , et al. Abstract PO2-19-06: An open-label, interventional, multicenter study of trastuzumab deruxtecan monotherapy in patients with unresectable and/or metastatic HER2-low or HER2 immunohistochemistry 0 breast cancer: DESTINY-Breast15. Cancer Res. 2024; 84( 9_Supplement): PO2-19-06. doi:10.1158/1538-7445.sabcs23-PO2-19-06. [Google Scholar] [CrossRef]
102. Qu F , Lu R , Wu X , Liu Q , Zha M , Li H , et al. Efficacy and safety of RC48-ADC in HER2-positive and HER2-low metastatic breast cancer: a multicenter, real-world study. Front Oncol. 2024; 14: 1435485. doi:10.3389/fonc.2024.1435485. [Google Scholar] [CrossRef]
103. Huang J , Huang T , Guo J , Hu K , Zhou H . The efficacy and safety of datopotamab deruxtecan (Dato-DXd) in advanced solid tumors: a systematic review and meta-analysis. Eur J Med Res. 2025; 30( 1): 1265. doi:10.1186/s40001-025-03538-8. [Google Scholar] [CrossRef]
104. Robson M , Im SA , Senkus E , Xu B , Domchek SM , Masuda N , et al. Olaparib for metastatic breast cancer in patients with a Germline BRCA Mutation. N Engl J Med. 2017; 377( 6): 523– 33. doi:10.1056/nejmoa1706450. [Google Scholar] [CrossRef]
105. Litton JK , Rugo HS , Ettl J , Hurvitz SA , Gonçalves A , Lee KH , et al. Talazoparib in patients with advanced breast cancer and a germline BRCA mutation. N Engl J Med. 2018; 379( 8): 753– 63. doi:10.1056/NEJMoa1802905. [Google Scholar] [CrossRef]
106. Asazuma K , Shimomura A , Kawamura Y , Taniyama T , Shimizu C . Case report of complete response to olaparib in a patient with breast cancer brain metastases. Case Rep Oncol. 2024; 17( 1): 773– 8. doi:10.1159/000540257. [Google Scholar] [CrossRef]
107. Wang F , Guo Z , Carr MJ , Shi W . PARPs and PARP inhibitors: molecular mechanisms and clinical applications. Mol Biomed. 2025; 6( 1): 152. doi:10.1186/s43556-025-00385-1. [Google Scholar] [CrossRef]
108. Murai J , Huang SN , Das BB , Renaud A , Zhang Y , Doroshow JH , et al. Trapping of PARP1 and PARP2 by clinical PARP inhibitors. Cancer Res. 2012; 72( 21): 5588– 99. doi:10.1158/0008-5472.CAN-12-2753. [Google Scholar] [CrossRef]
109. Lord CJ , Ashworth A . PARP inhibitors: synthetic lethality in the clinic. Science. 2017; 355( 6330): 1152– 8. doi:10.1126/science.aam7344. [Google Scholar] [CrossRef]
110. Farmer H , McCabe N , Lord CJ , Tutt ANJ , Johnson DA , Richardson TB , et al. Targeting the DNA repair defect in BRCA mutant cells as a therapeutic strategy. Nature. 2005; 434( 7035): 917– 21. doi:10.1038/nature03445. [Google Scholar] [CrossRef]
111. Robson ME , Tung N , Conte P , Im SA , Senkus E , Xu B , et al. OlympiAD final overall survival and tolerability results: olaparib versus chemotherapy treatment of physician’s choice in patients with a germline BRCA mutation and HER2-negative metastatic breast cancer. Ann Oncol. 2019; 30( 4): 558– 66. doi:10.1093/annonc/mdz012. [Google Scholar] [CrossRef]
112. Diéras V , Han HS , Kaufman B , Wildiers H , Friedlander M , Ayoub JP , et al. Veliparib with carboplatin and paclitaxel in BRCA-mutated advanced breast cancer (BROCADE3): a randomised, double-blind, placebo-controlled, phase 3 trial. Lancet Oncol. 2020; 21( 10): 1269– 82. doi:10.1016/S1470-2045(20)30447-2. [Google Scholar] [CrossRef]
113. Tung NM , Robson ME , Li T , Nanda R , Shah PD , Khoury K , et al. TBCRC 048 (olaparib expanded) expansion cohorts: phase II study of olaparib monotherapy for patients with metastatic breast cancer with germline mutations in PALB2 or somatic mutations in BRCA1 or BRCA2. J Clin Oncol. 2026; 44( 8): 653– 61. doi:10.1200/JCO-25-02075. [Google Scholar] [CrossRef]
114. Rugo HS , Cescon DW , Robson ME , Im SA , Dalenc F , Yañez Ruiz E , et al. KEYLYNK-009: pembrolizumab plus Olaparib in Locally Recurrent Inoperable or Metastatic Triple-Negative Breast Cancer after Clinical Benefit from First-Line Pembrolizumab plus Chemotherapy. Clin Cancer Res. 2026; 32( 5): 883– 93. doi:10.1158/1078-0432.CCR-25-1818. [Google Scholar] [CrossRef]
115. Jhaveri K , Eli LD , Wildiers H , Hurvitz SA , Guerrero-Zotano A , Unni N , et al. Neratinib + fulvestrant + trastuzumab for HR-positive, HER2-negative, HER2-mutant metastatic breast cancer: outcomes and biomarker analysis from the SUMMIT trial. Ann Oncol. 2023; 34( 10): 885– 98. doi:10.1016/j.annonc.2023.08.003. [Google Scholar] [CrossRef]
116. Jhaveri KL , Hurvitz SA , Brufsky A , Bose R , de Miguel MJ , Evron E , et al. Efficacy and genomic analysis of HER2-mutant, metastatic triple-negative breast cancer treated with neratinib alone or in combination with trastuzumab in the phase 2 SUMMIT basket trial. J Clin Oncol. 2024; 42( 16_suppl): 1094. doi:10.1200/jco.2024.42.16_suppl.1094. [Google Scholar] [CrossRef]
117. Murthy RK , Loi S , Okines A , Paplomata E , Hamilton E , Hurvitz SA , et al. Tucatinib, trastuzumab, and capecitabine for HER2-positive metastatic breast cancer. N Engl J Med. 2020; 382( 7): 597– 609. doi:10.1056/nejmoa1914609. [Google Scholar] [CrossRef]
118. Freedman RA , Gelman RS , Anders CK , Melisko ME , Parsons HA , Cropp AM , et al. TBCRC 022: a phase II trial of neratinib and capecitabine for patients with human epidermal growth factor receptor 2-positive breast cancer and brain metastases. J Clin Oncol. 2019; 37( 13): 1081– 9. doi:10.1200/JCO.18.01511. [Google Scholar] [CrossRef]
119. Harbeck N , Ciruelos E , Jerusalem G , Müller V , Niikura N , Viale G , et al. Trastuzumab deruxtecan in HER2-positive advanced breast cancer with or without brain metastases: a phase 3b/4 trial. Nat Med. 2024; 30( 12): 3717– 27. doi:10.1038/s41591-024-03261-7. [Google Scholar] [CrossRef]
120. Weng L , Zhou J , Guo S , Xu N , Ma R . The molecular subtyping and precision medicine in triple-negative breast cancer—based on Fudan TNBC classification. Cancer Cell Int. 2024; 24( 1): 120. doi:10.1186/s12935-024-03261-0. [Google Scholar] [CrossRef]
121. Gucalp A , Tolaney S , Isakoff SJ , Ingle JN , Liu MC , Carey LA , et al. Phase II trial of bicalutamide in patients with androgen receptor-positive, estrogen receptor-negative metastatic Breast Cancer. Clin Cancer Res. 2013; 19( 19): 5505– 12. doi:10.1158/1078-0432.CCR-12-3327. [Google Scholar] [CrossRef]
122. PAveMenT: Phase Ib Study of Palbociclib and Avelumab in Metastatic AR+ Triple Negative Breast Cancer [Internet]. 2020 [cited 2026 Jan 1]. Available from: https://clinicaltrials.gov/study/NCT04360941. [Google Scholar]
123. Pascual J , Turner NC . Targeting the PI3-kinase pathway in triple-negative breast cancer. Ann Oncol. 2019; 30( 7): 1051– 60. doi:10.1093/annonc/mdz133. [Google Scholar] [CrossRef]
124. Chan JJ , Tan TJY , Dent RA . Novel therapeutic avenues in triple-negative breast cancer: PI3K/AKT inhibition, androgen receptor blockade, and beyond. Ther Adv Med Oncol. 2019; 11: 1758835919880429. doi:10.1177/1758835919880429. [Google Scholar] [CrossRef]
125. Dent RA , Kim SB , Oliveira M , Barrios C , O’Shaughnessy J , Isakoff SJ , et al. Ipatasertib plus paclitaxel for patients with PIK3CA/AKT1/PTEN-altered locally advanced unresectable or metastatic triple-negative breast cancer in the IPATunity130 phase III trial. Clin Cancer Res. 2024; 30( 19): 4329– 38. doi:10.1158/1078-0432.ccr-24-0465. [Google Scholar] [CrossRef]
126. Schmid P , Turner NC , Barrios CH , Isakoff SJ , Kim SB , Sablin MP , et al. First-line ipatasertib, atezolizumab, and taxane triplet for metastatic triple-negative breast cancer: clinical and biomarker results. Clin Cancer Res. 2024; 30( 4): 767– 78. doi:10.1158/1078-0432.ccr-23-2084. [Google Scholar] [CrossRef]
127. Schmid P , Abraham J , Chan S , Wheatley D , Brunt AM , Nemsadze G , et al. Capivasertib plus paclitaxel versus placebo plus paclitaxel as first-line therapy for metastatic triple-negative breast cancer: the PAKT trial. J Clin Oncol. 2020; 38( 5): 423– 33. doi:10.1200/JCO.19.00368. [Google Scholar] [CrossRef]
128. Schmid P , McArthur HL , Cortés J , Xu B , Cardoso F , Casalnuovo M , et al. Capivasertib plus paclitaxel as first-line treatment for metastatic triple-negative breast cancer: results from the randomised, global phase III CAPItello-290 trial. Ann Oncol. 2026; 37( 5): 650– 62. doi:10.1016/j.annonc.2025.12.012. [Google Scholar] [CrossRef]
129. AKTive-001: A Phase 1/1b Multiple Cohort Trial of ALTA2618 in Patients with Advanced Solid Tumors with AKT1 E17K Mutation [Internet]. 2024 [cited 2026 Jan 1]. Available from: https://clinicaltrials.gov/study/NCT06533059. [Google Scholar]
130. Saridogan T , Akcakanat A , Zhao M , Evans KW , Yuca E , Scott S , et al. Efficacy of futibatinib, an irreversible fibroblast growth factor receptor inhibitor, in FGFR-altered breast cancer. Sci Rep. 2023; 13: 20223. doi:10.1038/s41598-023-46586-y. [Google Scholar] [CrossRef]
131. Giordano A , Unni N , Damodaran S , Rugo H , Crook T , Bachelot T , et al. Abstract PO4-06-07: efficacy and safety of futibatinib in patients with locally advanced/metastatic triple-negative breast cancer harboring FGFR2 gene amplification: final results from the phase 2, open-label FOENIX-MBC2 study. Cancer Res. 2024; 84( 9_Supplement): PO4-06-07. doi:10.1158/1538-7445.sabcs23-po4-06-07. [Google Scholar] [CrossRef]
132. Tawbi HA , Schadendorf D , Lipson EJ , Ascierto PA , Matamala L , Castillo Gutiérrez E , et al. Relatlimab and nivolumab versus nivolumab in untreated advanced melanoma. N Engl J Med. 2022; 386( 1): 24– 34. doi:10.1056/nejmoa2109970. [Google Scholar] [CrossRef]
133. Kuemmel S , Jung KH , Andrade L , Assad-Suzuki D , de la Cruz Merino L , Freitas-Junior R , et al. Safety and efficacy of tiragolumab, atezolizumab and chemotherapy for early-stage or PD-L1-positive advanced triple-negative breast cancer: a phase Ib study. ESMO Open. 2025; 10( 12): 105869. doi:10.1016/j.esmoop.2025.105869. [Google Scholar] [CrossRef]
134. Abudula M , Astuti Y , Raymant M , Sharma V , Schmid MC , Mielgo A . Macrophages suppress CD8+ T cell cytotoxic function in triple negative breast cancer via VISTA. Br J Cancer. 2025; 133( 1): 40– 51. doi:10.1038/s41416-025-03013-5. [Google Scholar] [CrossRef]
135. Brown TA , Mittendorf EA , Hale DF , Myers JW , Peace KM , Jackson DO , et al. Prospective, randomized, single-blinded, multi-center phase II trial of two HER2 peptide vaccines, GP2 and AE37, in breast cancer patients to prevent recurrence. Breast Cancer Res Treat. 2020; 181( 2): 391– 401. doi:10.1007/s10549-020-05638-x. [Google Scholar] [CrossRef]
136. Blass E , Ott PA . Advances in the development of personalized neoantigen-based therapeutic cancer vaccines. Nat Rev Clin Oncol. 2021; 18( 4): 215– 29. doi:10.1038/s41571-020-00460-2. [Google Scholar] [CrossRef]
137. Tuohy VK , Jaini R , Johnson JM , Loya MG , Wilk D , Downs-Kelly E , et al. Targeted vaccination against human α-lactalbumin for immunotherapy and primary immunoprevention of triple negative breast cancer. Cancers. 2016; 8( 6): 56. doi:10.3390/cancers8060056. [Google Scholar] [CrossRef]
138. Mittendorf EA , Ardavanis A , Symanowski J , Murray JL , Shumway NM , Litton JK , et al. Primary analysis of a prospective, randomized, single-blinded phase II trial evaluating the HER2 peptide AE37 vaccine in breast cancer patients to prevent recurrence. Ann Oncol. 2016; 27( 7): 1241– 8. doi:10.1093/annonc/mdw150. [Google Scholar] [CrossRef]
139. Jiang Z , Cai G , Liu H , Liu L , Huang R , Nie X , et al. A combination of a TLR7/8 agonist and an epigenetic inhibitor suppresses triple-negative breast cancer through triggering anti-tumor immune. J Nanobiotechnol. 2024; 22( 1): 296. doi:10.1186/s12951-024-02525-1. [Google Scholar] [CrossRef]
140. Lu X , Wang X , Cheng H , Wang X , Liu C , Tan X . Anti-triple-negative breast cancer metastasis efficacy and molecular mechanism of the STING agonist for innate immune pathway. Ann Med. 2023; 55( 1): 2210845. doi:10.1080/07853890.2023.2210845. [Google Scholar] [CrossRef]
141. Mudd GE , Scott H , Chen L , van Rietschoten K , Ivanova-Berndt G , Dzionek K , et al. Discovery of BT8009: a nectin-4 targeting bicycle toxin conjugate for the treatment of cancer. J Med Chem. 2022; 65( 21): 14337– 47. doi:10.1021/acs.jmedchem.2c00065. [Google Scholar] [CrossRef]
142. Bashir B , Wang JS , Falchook G , Fontana E , Arkenau HT , Carter L , et al. Results from first-in-human phase I dose-escalation study of a novel bicycle toxin conjugate targeting EphA2 (BT5528) in patients with advanced solid tumors. J Clin Oncol. 2024; 42( 29): 3443– 52. doi:10.1200/JCO.23.01107. [Google Scholar] [CrossRef]
143. Phase I/II Study of the Safety, Pharmacokinetics, and Preliminary Clinical Activity of BT8009 in Patients with Nectin-4 Expressing Advanced Malignancies [Internet]. 2020 [cited 2026 Jan 1]. Available from: https://clinicaltrials.gov/study/NCT04561362. [Google Scholar]
144. Nasiri F , Kazemi M , Mirarefin SMJ , Mahboubi Kancha M , Ahmadi Najafabadi M , Salem F , et al. CAR-T cell therapy in triple-negative breast cancer: hunting the invisible devil. Front Immunol. 2022; 13: 1018786. doi:10.3389/fimmu.2022.1018786. [Google Scholar] [CrossRef]
145. Raftery MJ , Franzén AS , Radecke C , Boulifa A , Schönrich G , Stintzing S , et al. Next generation CD44v6-specific CAR-NK cells effective against triple negative breast cancer. Int J Mol Sci. 2023; 24( 10): 9038. doi:10.3390/ijms24109038. [Google Scholar] [CrossRef]
146. Wang Z , Miao L , Wang W . The new era of immunotherapy for breast cancer: challenges and coping strategies of CAR-T cell therapy. Front Immunol. 2025; 16: 1698146. doi:10.3389/fimmu.2025.1698146. [Google Scholar] [CrossRef]
147. Phase 1, Adaptive-design Trial of Human Chimeric Antigen Receptor Modified T Cells in Patients with Mesothelin Expressing Breast Cancer [Internet]. 2022 [cited 2026 Jan 1]. Available from: https://clinicaltrials.gov/study/NCT05623488. [Google Scholar]
148. Singh S , Lee N , Pedroza DA , Bado IL , Hamor C , Zhang L , et al. Chemotherapy coupled to macrophage inhibition induces T-cell and B-cell infiltration and durable regression in triple-negative breast cancer. Cancer Res. 2022; 82( 12): 2281– 97. doi:10.1158/0008-5472.CAN-21-3714. [Google Scholar] [CrossRef]
149. Costa A , Kieffer Y , Scholer-Dahirel A , Pelon F , Bourachot B , Cardon M , et al. Fibroblast heterogeneity and immunosuppressive environment in human breast cancer. Cancer Cell. 2018; 33( 3): 463– 79.e10. doi:10.1016/j.ccell.2018.01.011. [Google Scholar] [CrossRef]
150. A Phase II, Multicenter, Open Label Study of Bintrafusp Alfa (M7824) Monotherapy in Participants with HMGA2-expressing Triple Negative Breast Cancer [Internet]. 2020 [cited 2026 Jan 1]. Available from: https://clinicaltrials.gov/study/NCT04489940. [Google Scholar]
151. A Phase Ib Trial of LY2157299 (TGFβR1 Kinase Inhibitor) With Paclitaxel in Patients with Triple Negative Metastatic Breast Cancer [Internet]. 2016 [cited 2026 Jan 1]. Available from: https://clinicaltrials.gov/study/NCT02672475. [Google Scholar]
152. Li Y , Zhang H , Merkher Y , Chen L , Liu N , Leonov S , et al. Recent advances in therapeutic strategies for triple-negative breast cancer. J Hematol Oncol. 2022; 15( 1): 121. doi:10.1186/s13045-022-01341-0. [Google Scholar] [CrossRef]
153. Larose ÉA , Hua X , Yu S , Pillai AT , Yi Z , Yu H . Antibody-drug conjugates in breast cancer treatment: resistance mechanisms and the role of therapeutic sequencing. Cancer Drug Resist. 2025; 8: 11. doi:10.20517/cdr.2024.180. [Google Scholar] [CrossRef]
154. Zhou Z , Zhou Q . Immunotherapy resistance in triple-negative breast cancer: molecular mechanisms, tumor microenvironment, and therapeutic implications. Front Oncol. 2025; 15: 1630464. doi:10.3389/fonc.2025.1630464. [Google Scholar] [CrossRef]
155. Zheng Y , Li S , Tang H , Meng X , Zheng Q . Molecular mechanisms of immunotherapy resistance in triple-negative breast cancer. Front Immunol. 2023; 14: 1153990. doi:10.3389/fimmu.2023.1153990. [Google Scholar] [CrossRef]
156. Ghosh M , Saha S , Bettke J , Nagar R , Parrales A , Iwakuma T , et al. Mutant p53 suppresses innate immune signaling to promote tumorigenesis. Cancer Cell. 2021; 39( 4): 494– 508.e5. doi:10.1016/j.ccell.2021.01.003. [Google Scholar] [CrossRef]
157. Bakhoum SF , Ngo B , Laughney AM , Cavallo JA , Murphy CJ , Ly P , et al. Chromosomal instability drives metastasis through a cytosolic DNA response. Nature. 2018; 553( 7689): 467– 72. doi:10.1038/nature25432. [Google Scholar] [CrossRef]
158. Ababneh E . Immune evasion and resistance in breast cancer. Am J Cancer Res. 2025; 15( 4): 1517– 39. doi:10.62347/pngt6996. [Google Scholar] [CrossRef]
159. Rampa DR , Seo M , Ogata N , Yang Z , Sridhar N , Fujii T , et al. Payload diversification overcomes resistance and guides sequential antibody-drug conjugate therapy in breast cancer. Clin Cancer Res. 2026; 32( 8): 1454– 61. doi:10.1158/1078-0432.CCR-25-3321. [Google Scholar] [CrossRef]
160. de Almeida LFC , Leite LF , Cappellaro AP , da Conceição LD , Noronha MM , da Silva JL , et al. Sequencing antibody–drug conjugates in metastatic breast cancer: a systematic review. Cancer Treat Rev. 2026; 142: 103067. doi:10.1016/j.ctrv.2025.103067. [Google Scholar] [CrossRef]
161. Sledge GW , Xiu J , Mahtani RL , Sandoval Leon AC , Meric-Bernstam F , Ribeiro JR , et al. Mechanisms of resistance to trastuzumab deruxtecan in breast cancer elucidated by multi-omic molecular profiling. npj Breast Cancer. 2026; 12: 1. doi:10.1038/s41523-025-00868-y. [Google Scholar] [CrossRef]
162. Chen W , Gupta A , Mai N , Nag S , Lau JS , Singh S , et al. Trastuzumab deruxtecan resistance via loss of HER2 expression and binding. Cancer Discov. 2026; 16( 2): 235– 49. doi:10.1158/2159-8290.CD-25-0647. [Google Scholar] [CrossRef]
163. Harvey-Jones E , Raghunandan M , Robbez-Masson L , Magraner-Pardo L , Alaguthurai T , Yablonovitch A , et al. Longitudinal profiling identifies co-occurring BRCA1/2 reversions, TP53BP1, RIF1 and PAXIP1 mutations in PARP inhibitor-resistant advanced breast cancer. Ann Oncol. 2024; 35( 4): 364– 80. doi:10.1016/j.annonc.2024.01.003. [Google Scholar] [CrossRef]
164. Sakai W , Swisher EM , Karlan BY , Agarwal MK , Higgins J , Friedman C , et al. Secondary mutations as a mechanism of cisplatin resistance in BRCA2-mutated cancers. Nature. 2008; 451( 7182): 1116– 20. doi:10.1038/nature06633. [Google Scholar] [CrossRef]
165. Kondrashova O , Nguyen M , Shield-Artin K , Tinker AV , Teng NNH , Harrell MI , et al. Secondary somatic mutations restoring RAD51C and RAD51D associated with acquired resistance to the PARP inhibitor rucaparib in high-grade ovarian carcinoma. Cancer Discov. 2017; 7( 9): 984– 98. doi:10.1158/2159-8290.CD-17-0419. [Google Scholar] [CrossRef]
166. Nesic K , Kondrashova O , Hurley RM , McGehee CD , Vandenberg CJ , Ho GY , et al. Acquired RAD51C promoter methylation loss causes PARP inhibitor resistance in high-grade serous ovarian carcinoma. Cancer Res. 2021; 81( 18): 4709– 22. doi:10.1158/0008-5472.CAN-21-0774. [Google Scholar] [CrossRef]
167. Rugo HS , Loi S , Adams S , Schmid P , Schneeweiss A , Barrios CH , et al. PD-L1 immunohistochemistry assay comparison in atezolizumab plus nab-paclitaxel–treated advanced triple-negative breast cancer. J Natl Cancer Inst. 2021; 113( 12): 1733– 43. doi:10.1093/jnci/djab108. [Google Scholar] [CrossRef]
168. Prat A , Modi S , Tsurutani J , Cameron D , Harbeck N , Garrido C , et al. Abstract HER2-18: HER2-18 Determination of HER2-low status in tumors of patients with unresectable and/or metastatic breast cancer in DESTINY-Breast04. Cancer Res. 2023; 83( 5_Supplement): HER2-18. doi:10.1158/1538-7445.sabcs22-her2-18. [Google Scholar] [CrossRef]
169. Browne IM , Pascual J , Cutts RJ , Kingston B , Hrebien S , Kilburn LS , et al. The prognostic and predictive impact of ctDNA levels in patients with advanced breast cancer enrolled on the plasmaMATCH trial. Clin Cancer Res. 2026; 32( 1): 148– 58. doi:10.1158/1078-0432.CCR-24-0651. [Google Scholar] [CrossRef]
170. Wang X , Venet D , Lifrange F , Larsimont D , Rediti M , Stenbeck L , et al. Spatial transcriptomics reveals substantial heterogeneity in triple-negative breast cancer with potential clinical implications. Nat Commun. 2024; 15( 1): 10232. doi:10.1038/s41467-024-54145-w. [Google Scholar] [CrossRef]
171. Fan L , Wang ZH , Ma LX , Wu SY , Wu J , Yu KD , et al. Optimising first-line subtyping-based therapy in triple-negative breast cancer (FUTURE-SUPER): a multi-cohort, randomised, phase 2 trial. Lancet Oncol. 2024; 25( 2): 184– 97. doi:10.1016/S1470-2045(23)00579-X. [Google Scholar] [CrossRef]
172. Arora A , Bhaskarane H , Tansir G , Bakhshi S , Gogia A , Kumar A , et al. A phase II, randomized, open-label study to evaluate low-dose pembrolizumab plus chemotherapy versus chemotherapy as neoadjuvant therapy for localized triple-negative breast cancer (TNBC) (PLANeT trial-Pembrolizumab Low dose in Addition to NACT in TNBC). Ann Oncol. 2026; 37( 5): 639– 49. doi:10.1016/j.annonc.2025.12.015. [Google Scholar] [CrossRef]
173. Alaklabi S , Roy AM , Zagami P , Chakraborty A , Held N , Elijah J , et al. Real-world clinical outcomes with sacituzumab govitecan in metastatic triple-negative breast cancer. JCO Oncol Pract. 2025; 21( 5): 620– 8. doi:10.1200/op.24.00242. [Google Scholar] [CrossRef]
Cite This Article
Copyright © 2026 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Submit a Paper
Propose a Special lssue
View Full Text
Download PDF
Downloads
Citation Tools