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  • Open Access

    REVIEW

    Male Breast Cancer: Epidemiology, Diagnosis, Molecular Mechanisms, Therapeutics, and Future Prospective

    Ashok Kumar Sah1,*, Ranjay Kumar Choudhary1,2, Velilyaeva Alie Sabrievna3, Karomatov Inomdzhon Dzhuraevich4, Anass M. Abbas5, Manar G. Shalabi5, Nadeem Ahmad Siddique6, Raji Rubayyi Alshammari7, Navjyot Trivedi8, Rabab H. Elshaikh1

    Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.068238 - 30 December 2025

    Abstract Male breast cancer (MBC) is rare, representing 0.5%–1% of all breast cancers, but its incidence is increasing due to improved diagnostics and awareness. MBC typically presents in older men, is human epidermal growth factor receptor 2 (HER2)-negative and estrogen receptor (ER)-positive, and lacks routine screening, leading to delayed diagnosis and advanced disease. Major risk factors include hormonal imbalance, radiation exposure, obesity, alcohol use, and Breast Cancer Gene 1 and 2 (BRCA1/2) mutations. Clinically, it may resemble gynecomastia but usually appears as a unilateral, painless mass or nipple discharge. Advances in imaging and liquid biopsy have More >

  • Open Access

    ARTICLE

    ZMIZ2/MCM3 Axis Participates in Triple-Negative Breast Cancer Progression

    Xiaopan Zou1,2, Meiyang Sun3, Xin Jiang1, Jingze Yu2, Xiaomeng Li4,*, Bingyu Nie1,*

    Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.066662 - 30 December 2025

    Abstract Objective: Triple-negative breast cancer (TNBC) is highly aggressive and lacks an effective targeted therapy. This study aimed to elucidate the functions and possible mechanisms of action of zinc finger miz-type containing 2 (ZMIZ2) and minichromosome maintenance complex component 3 (MCM3) in TNBC progression. Methods: The relationship between ZMIZ2 expression and clinical characteristics of TNBC was investigated. In vitro and in vivo experiments were performed to investigate the role of ZMIZ2 dysregulation in TNBC cell malignant behaviors. The regulatory relationship between ZMIZ2 and MCM3 was also explored. Transcriptome sequencing was performed to elucidate possible mechanisms underlying the ZMIZ2/MCM3… More >

  • Open Access

    ARTICLE

    VCA Augments Doxorubicin Efficacy in Triple-Negative Breast Cancer: Evidence for Multi-Pathway Synergism

    Chang-Eui Hong1,2,3, Su-Yun Lyu1,2,3,*

    BIOCELL, Vol.49, No.12, pp. 2377-2397, 2025, DOI:10.32604/biocell.2025.072360 - 24 December 2025

    Abstract Objective: Triple-negative breast cancer (TNBC) remains a major therapeutic challenge with limited treatment options and poor prognosis. This study aimed to investigate the synergistic anticancer effects of doxorubicin (DOX) combined with Viscum album L. var. coloratum agglutinin (VCA) and to elucidate the underlying molecular mechanisms in TNBC cells. Methods: This study evaluated the synergistic effects and mechanisms of doxorubicin (DOX) and Viscum album L. var. coloratum agglutinin (VCA) combination in MDA-MB231 TNBC cells. Cell viability, oxidative stress markers, apoptosis-related proteins, cell migration, and proliferative recovery were assessed using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay, superoxide dismutase (SOD) and nitric oxide… More >

  • Open Access

    REVIEW

    ROS Regulation by Natural Products: A Promising Therapeutic Approach for Breast Cancer

    YANG-YANG SHUAI1,2, PEI-PEI WANG1, HAI-JUN ZHANG2, HUI AO1,*, WEI PENG1, HONG ZHANG1,2,*

    BIOCELL, Vol.49, No.12, pp. 2299-2333, 2025, DOI:10.32604/biocell.2025.071569 - 24 December 2025

    Abstract Breast cancer ranks first among cancer-related fatalities and is the most frequent cancer in women globally. ROS plays an important role in controlling the occurrence and progression of breast cancer. Increasing reports suggest that natural products and their derivatives are beneficial for the management of breast cancer via the regulation of reactive oxygen species (ROS). A summary of the known patterns of natural products that modulate ROS against breast cancer will contribute to the discovery of more natural medicines for clinical applications and the development of new drugs. In this review, the pharmacological effects of More >

  • Open Access

    REVIEW

    A Systematic Review of Multimodal Fusion and Explainable AI Applications in Breast Cancer Diagnosis

    Deema Alzamil1,2,*, Bader Alkhamees2, Mohammad Mehedi Hassan2,3

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 2971-3027, 2025, DOI:10.32604/cmes.2025.070867 - 23 December 2025

    Abstract Breast cancer diagnosis relies heavily on many kinds of information from diverse sources—like mammogram images, ultrasound scans, patient records, and genetic tests—but most AI tools look at only one of these at a time, which limits their ability to produce accurate and comprehensive decisions. In recent years, multimodal learning has emerged, enabling the integration of heterogeneous data to improve performance and diagnostic accuracy. However, doctors cannot always see how or why these AI tools make their choices, which is a significant bottleneck in their reliability, along with adoption in clinical settings. Hence, people are adding… More >

  • Open Access

    REVIEW

    The role of IL-33 in immunotherapy for breast cancer: targets and signalling pathways

    Fu Zhang1,2, Miao Lin1,2, Yuancong Jiang3, Fangjian Zhou1,2,*

    European Cytokine Network, Vol.36, No.1, pp. 1-5, 2025, DOI:10.1684/ecn.2025.0500

    Abstract Interleukin-33 (IL-33), a key member of the IL-1 family, plays a significant role in inflammation and cancer. Its classic receptors, ST2 and IL-1 receptor accessory protein (IL-1RAcP), are predominantly expressed in immune cells such as T helper 2 (Th2) cells and mast cells. Recent studies have highlighted the involvement of IL-33 in breast cancer, demonstrating its ability to exert dual functional effects by modulating both innate and adaptive immune responses within the tumour microenvironment. However, the precise molecular mechanisms linking IL-33 to breast cancer pathogenesis and its potential as a target for molecularly targeted therapies More >

  • Open Access

    ARTICLE

    Targeting HER2-Positive HCC1954 Breast Cancer Cells by Novel Thiazole-Dihydrobenzisoxazoles: In-Depth Design, Synthesis and Initial In Vitro Study

    Yuri A. Piven1, Danila V. Sorokin2, Nastassia A. Varabyeva1, Alexandra L. Mikhaylova2, Fedor B. Bogdanov2, Elena V. Shafranovskaya1, Raman M. Puzanau3, Fedor A. Lakhvich1, Alexander M. Scherbakov2,4,*

    Oncology Research, Vol.33, No.12, pp. 4049-4072, 2025, DOI:10.32604/or.2025.067832 - 27 November 2025

    Abstract Background: The most aggressive forms of breast cancer are characterized by independence from steroid hormones but a strong dependence on growth factors. In such cancer cells, oncogenic receptors, including human epidermal growth factor receptor 2 (HER2), are activated, and their targeted inhibition represents an attractive therapeutic strategy. The study aimed to develop small-molecule potential dual heat shock protein 90 (HSP90)-HER2 inhibitors and evaluate them as anticancer agents in HER2-positive cells. Methods: The research project involved obtaining a series of compounds with potential dual inhibitory activity against HSP90 and HER2 by targeted organic synthesis, which was… More > Graphic Abstract

    Targeting HER2-Positive HCC1954 Breast Cancer Cells by Novel Thiazole-Dihydrobenzisoxazoles: In-Depth Design, Synthesis and Initial <i>In Vitro</i> Study

  • Open Access

    ARTICLE

    A Hybrid Machine Learning and Fractional-Order Dynamical Framework for Multi-Scale Prediction of Breast Cancer Progression

    David Amilo1,*, Khadijeh Sadri1, Evren Hincal1,2, Mohamed Hafez3,4

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 2189-2222, 2025, DOI:10.32604/cmes.2025.070298 - 26 November 2025

    Abstract Breast cancer’s heterogeneous progression demands innovative tools for accurate prediction. We present a hybrid framework that integrates machine learning (ML) and fractional-order dynamics to predict tumor growth across diagnostic and temporal scales. On the Wisconsin Diagnostic Breast Cancer dataset, seven ML algorithms were evaluated, with deep neural networks (DNNs) achieving the highest accuracy (97.72%). Key morphological features (area, radius, texture, and concavity) were identified as top malignancy predictors, aligning with clinical intuition. Beyond static classification, we developed a fractional-order dynamical model using Caputo derivatives to capture memory-driven tumor progression. The model revealed clinically interpretable patterns: More >

  • Open Access

    ARTICLE

    Isoliquiritigenin Inhibits Triple-Negative Breast Cancer Progression via Targeting the IRF5/SLC7A5/IDO1-Mediated Tryptophan Metabolism Pathway

    Sihai Duan1,2,#, Xiaoyan Li3,#, Cailu Song3, Song Wu3, Yunyun Tang3,4, Qing Bao3,4, Na Li3,*, Hailin Tang3,*

    Oncology Research, Vol.33, No.11, pp. 3543-3556, 2025, DOI:10.32604/or.2025.068292 - 22 October 2025

    Abstract Objectives: Triple-negative breast cancer (TNBC) is the breast cancer subtype with the poorest prognosis. This study aimed to elucidate the molecular pathways through which isoliquiritigenin (ISL), a natural chalcone compound derived from licorice and other plant roots, targets interferon regulatory factor 5 (IRF5) in TNBC. Methods: TNBC cell lines were cultured and subjected to IRF5 knockdown using short hairpin RNA. Cell proliferation was assessed by cell counting kit-8 (CCK-8) assay and colony formation assays. Western blotting and quantitative reverse transcription polymerase chain reaction (RT-PCR) were employed to measure expression levels of IRF5, solute carrier family… More >

  • Open Access

    ARTICLE

    Multi-Omics Insights into the Impact of MDH2 on Breast Cancer Progression: A Promising Druggable Target

    Botao Pan1, Zirun Luo2, Xiujuan Yang1, Qingqing Liu3, Zhimin Yang4,*, Chenglai Xia1,3,*

    Oncology Research, Vol.33, No.11, pp. 3557-3582, 2025, DOI:10.32604/or.2025.068119 - 22 October 2025

    Abstract Objectives: Breast cancer is characterized by significant metabolic dysregulation, in which altered enzyme activity plays a central role. Malate dehydrogenase 2 (MDH2), a key enzyme in the tricarboxylic acid cycle, has been implicated in several malignancies, but its role in breast cancer tumorigenesis and progression remains unclear. We aimed to elucidate the oncogenic role of MDH2 in breast cancer and to evaluate its potential as a diagnostic, therapeutic, and prognostic biomarker. Methods: We combined in vitro cell-based assays with mouse xenograft models to systematically dissect how MDH2 governs breast cancer growth. In vitro, we assessed the effects… More >

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