Kaidi Yin, Lili Deng, Wen Liu^*

Oncology Research, Vol.34, No.6, 2026, DOI:10.32604/or.2026.075185 - 21 May 2026

Abstract Objectives: Although claudin-1 (CLDN1) interacts with Cluster of Differentiation 81 (CD81) in various cell types, the specific mechanism underlying this interaction and its functional implications in colorectal cancer (CRC) cells remain poorly understood. This study outlines the regulatory role of CLDN1 in CRC cell tumorigenicity through its interaction with CD81, elucidating the underlying signaling cascade. Methods: Changes in the expression of CLDN1 and CD81, as well as their correlation with the survival of CRC patients, were analyzed using samples from The Cancer Genome Atlas database, the Kaplan‒Meier plotter database, and tissue microarrays. CLDN1 and CD81 were… More >

Mariana Lopes^1,#, Carlos Vila Nova^2,3,#, Rui Caetano Oliveira^3,4, Fernando Schmitt⁵, Fernando Mendes^1,6,7,8,9,*, Diana Martins^1,6,7,8

Oncology Research, Vol.34, No.6, 2026, DOI:10.32604/or.2026.074215 - 21 May 2026

Abstract Objectives: Triple-negative breast cancer (TNBC) accounts for approximately 15% of all invasive breast cancers and is characterized by aggressive behavior, limited therapeutic options, and poor clinical outcomes. Due to the absence of hormone receptors and HER2 expression, systemic treatment relies predominantly on chemotherapy, which is associated with high rates of early recurrence and mortality. Emerging evidence suggests that alterations in the microbiome can contribute to TNBC progression and influence therapeutic response, particularly affecting the efficacy of chemotherapy and immunotherapy through immune-mediated mechanisms; however, its role in TNBC remains incompletely understood. This systematic review aims to explore… More >

Ji Hoon Jang, Joo-Young Kim, Tae-Jin Lee^*

Oncology Research, Vol.34, No.6, 2026, DOI:10.32604/or.2026.073660 - 21 May 2026

Abstract Molecular glue degraders (MGDs) are an emerging class of small molecules that promote selective protein degradation by inducing neomorphic interactions between E3 ubiquitin ligases and non-native substrates, referred to as neosubstrates. Clinically validated examples include thalidomide analogs that recruit cereblon (CRBN) to degrade IKAROS family zinc finger 1/3 in multiple myeloma, and arylsulfonamide-based MGDs that promote the degradation of RNA-binding protein 39 in acute myeloid leukemia and solid tumors. These molecules highlight the therapeutic potential of this modality in oncology. These findings underscore the promise of MGDs for eliminating oncogenic proteins previously considered undruggable and… More > Graphic Abstract

Wen-Hsin Hsu^1,2,#, Kai-Fu Chang^3,4,#, Chih-Hsuan Chang^3,4, Hui-Ru Lin^5,6, Chi-Jen Wu^5,7, Ching-Chung Ko^8,9,10, Cheng-Chun Wu¹¹, Yu-Cheng Ho¹¹, Chih-Chun Lin¹², Chien-Han Yuan^3,5,13,14, Sachin Kumar^15,16, Dahlak Daniel Solomon¹⁵, Fitria Sari Wulandari¹⁵, Juan Lorell Ngadio¹⁷, Do Thi Minh Xuan¹⁸, Chung-Bao Hsieh¹⁹, Chung-Chieh Chiao²⁰, Ngoc Uyen Nhi Nguyen^21,22, Chih-Yang Wang^15,20, Yung-Kuo Lee^3,4,5,*

Oncology Research, Vol.34, No.6, 2026, DOI:10.32604/or.2026.070445 - 21 May 2026

Abstract Background: Glycosylation and inflammation are pivotal in tumor progression, yet the specific glycosyltransferases bridging these processes remain poorly defined. This study investigated Exostosin-1 (EXT1), a key enzyme in heparan sulfate (HS) biosynthesis, as a mechanistic bridge connecting inflammation, stromal remodeling, and immune evasion-driven cancers. Methods: We used a multi-omics approach including Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression on The Cancer Genome Atlas (TCGA) pan-cancer cohorts, transcriptomics, survival, single-cell RNA sequencing (scRNA-seq), DNA methylation profiling, pathway enrichment analysis (MetaCore), molecular docking, and immunohistochemistry (IHC) on pancreatic adenocarcinoma (PAAD) and lung adenocarcinoma (LUAD) tissue microarrays. Results:… More >

Teng Zhu^1,#, Siwen Zang^2,#, Bo Chen^1,*

Oncology Research, Vol.34, No.6, 2026, DOI:10.32604/or.2026.067876 - 21 May 2026

Abstract Background: Orbital metastases are rare in breast cancer, representing only 3–10% of ocular metastases. This report highlights a case where orbital involvement was the first indicator of systemic metastatic spread. Case Presentation: A 72-year-old woman with a history of Estrogen Receptor (ER)-positive (5%), Progesterone Receptor (PR)-negative, Human epidermal growth factor receptor-2 (HER2)-negative breast cancer (diagnosed 3 years prior) presented with right orbital pain, diplopia, and periorbital swelling. Imaging revealed multiple myositis of the extraocular muscles, compressive displacement of the optic nerve, and right periorbital edema. Bone scintigraphy identified multifocal skeletal metastases. A navigation-assisted biopsy confirmed metastatic invasive More >

Wariyo Godana Arero¹, Yaqin Zhao¹, Mudasir Ahmad Wani², Pir Noman Ahmad³, Kashish Ara Shakil^4,*, Sadique Ahmad⁵, Sidrak Habtemariam Teredda⁶, Merhawit Berhane Teklu⁷, Longwen Wu^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.1, 2026, DOI:10.32604/cmes.2026.080279 - 27 April 2026

Abstract Lung cancer accounts for the highest number of cancer deaths globally, underscoring the urgent need for early and precise detection to enhance patient outcomes. While deep learning has made remarkable strides in analyzing medical images, current approaches face a fundamental challenge. They cannot adequately capture detailed local patterns and broader contextual relationships within lung Computed tomography (CT) scans. To address this limitation, we introduce AMVT-NMN (adaptive multi-scale vision transformer with neuromorphic memory networks), which combines three complementary mechanisms. The dynamic adaptive kernel networks component intelligently adjusts receptive field sizes based on input characteristics, enabling flexible… More >

Muhammad Waqar¹, Zeshan Aslam Khan^1,*, Arthur Chang^2,*, Zhishan Guo³, Chun-Liang Lai⁴, Chuan-Yu Chang⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.1, 2026, DOI:10.32604/cmes.2026.078892 - 27 April 2026

Abstract Lung cancer (LC) is among the dangerous cancers spreading progressively, and a timely LC diagnosis becomes a dire need of the time. Various imaging-based studies have been conducted for accurate LC examination through computed tomography (CT), X-ray, and histopathology. Worldwide, the proportion of LC-affected patients in hospitals is growing, thereby increasing imaging data for fast processing and early examination. To facilitate histopathological imaging-based automated and timely decision making for accurate LC prediction, a Context Aware Fusion Network (CAFNet) for holistic feature learning and spatially localized feature learning is proposed in this study for the efficient… More >

Oncology Research Editorial Office

Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.081623 - 22 April 2026

Abstract This article has no abstract. More >

Oncology Research Editorial Office

Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.081621 - 22 April 2026

Abstract This article has no abstract. More >

Cong Liu¹, Zhenyu Zhang¹, Ronghua Feng¹, Mengsi Zeng¹, Hui Li¹, Mei Zhu¹, Lan Zhuang^2,*, Zongjuan Li^1,*, Tao Wu^1,*

Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.077059 - 22 April 2026

Abstract Background: Breast cancer is the leading cause of cancer-related deaths in women, primarily due to distant metastasis. Metabolic reprogramming plays a critical role in tumor growth and spread, but the metabolic mechanisms underlying metastasis in breast cancer remain unclear. The primary objective of this study is to identify molecular targets mediating breast cancer progression and to evaluate whether targeting the metabolic reprogramming represents a potential therapeutic strategy. Methods: To uncover key metabolic regulators involved in breast cancer progression, we analyzed high-throughput RNA sequencing data and identified Paired Like Homeodomain 1 (PITX1) as a frequently upregulated… More >