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 >

Ashuai Du^1,#, Dianbin Guo^2,#, Dongbo Yuan^3,#, Kai Li⁴, Yuanyuan Luo⁴, Songsong Tan³, Xuchao Dai⁴, Bo Yu⁵, Wanxiang You⁶, Junjie Zhao⁷, Bo Yan³, Kehua Jiang^3,*, Xiaofei Fan^2,*, Jianguo Zhu^3,*,*

Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.076716 - 22 April 2026

Abstract Background: Bisphenol A (BPA) is a widely used industrial chemical and endocrine-disrupting compound, and accumulating evidence suggests that it may contribute to prostate cancer progression; however, the underlying molecular mechanisms remain incompletely elucidated. This study aimed to elucidate the molecular targets and signaling pathways underlying BPA-induced prostate cancer progression. Methods: In this study, an integrated strategy combining network toxicology, molecular docking, and molecular dynamics simulations was employed to identify potential BPA-related targets and signaling pathways involved in prostate cancer. Candidate targets were retrieved from public databases, followed by protein-protein interaction network analysis to screen key… More >

Lu Hao^1,#, Jiao Lu^2,#, Jisu Xue^2,*

Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.076420 - 22 April 2026

Abstract In vivo Chimeric Antigen Receptor (CAR)-T cell therapy reprograms a patient’s own T cells directly inside the body, bypassing the complex and costly traditional manufacturing process. This is achieved by systemically delivering viral or non-viral vectors that genetically modify endogenous T lymphocytes to produce functional CAR-T cells de novo. By eliminating ex vivo cell processing, this strategy can simplify workflows, reduce costs, improve accessibility, and allow faster treatment. Key delivery platforms include engineered lentiviral and adeno-associated viral (AAV) vectors for lasting CAR expression and targeted lipid nanoparticles (LNPs) for transient mRNA delivery. Emerging technologies like biomaterial scaffolds and… More >

Nevena Todorovic^1,#, Sara Bertorello^1,#, Giulia Nannini¹, Serena Pillozzi², Simonetta Bianchi³, Maria Raffaella Ambrosio⁴, Elena Niccolai¹, Simone Baldi¹, Amedeo Amedei^1,*

Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.076380 - 22 April 2026

Abstract Background: Cancer remains one of the leading global health challenges, with lung cancer (LC), breast cancer (BC), and colorectal cancer (CRC) among the most prevalent and deadly malignancies. The intratumoral microbiota (IM), a distinct microbial ecosystem within tumor tissues, has recently emerged as a potential modulator of carcinogenesis, immune responses, and metastatic progression. However, comparative cross-cancer analyses remain limited. Therefore, this study aimed to compare the IM across these cancer types, with particular emphasis on distinguishing metastatic from non-metastatic malignancies, to identify tumor-specific microbial signatures with potential relevance for biomarker discovery, patient stratification, and microbiota-informed… More >

Francesco Petrella^1,2,*, Andrea Cara¹, Enrico Mario Cassina¹, Lidia Libretti¹, Emanuele Pirondini¹, Federico Raveglia¹, Maria Chiara Sibilia¹, Antonio Tuoro¹

Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.076281 - 22 April 2026

Abstract The advent of immune checkpoint inhibitors (ICIs) targeting PD-1, PD-L1, and CTLA-4 has transformed the therapeutic landscape of advanced non-small cell lung cancer (NSCLC), and recent clinical trials have extended their application to resectable disease. Multiple randomized phase III trials have demonstrated that neoadjuvant and adjuvant immunotherapy, particularly when combined with platinum-based chemotherapy, significantly improves pathological complete response (pCR), major pathological response (MPR), event-free survival (EFS), disease-free survival (DFS), and overall survival (OS) compared to chemotherapy alone. Several key questions remain unresolved—including whether preoperative or postoperative immunotherapy yields superior outcomes, whether adjuvant therapy provides additional More >

Jun Jiang^1,#, Yi-Ran Li^2,#, Xiaoting Wang^3,#, Jian Li¹, Fangzhou Ye¹, Jiayi Wang¹, Huanqing Li^1,*, Li Feng^1,*

Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.076051 - 22 April 2026

Abstract Background: In various tumor types, cell division cycle-associated 7 (CDCA7) is involved in chromatin remodeling and DNA methylation. However, its biological functions and regulatory mechanisms in gastric cancer (GC) remain unknown. This investigation intended to identify the function of CDCA7 in GC progression and elucidate its epigenetic regulatory mechanisms. Methods: Differentially expressed genes (DEGs) were detected from the GSE19826, TCGA-GC, and GSE56807 datasets. Networks of protein-protein interactions (PPI) and hub genes were discovered by the DMNC and Clustering Coefficient algorithms. Receiver operating characteristic (ROC) analysis and expression profiling were undertaken to determine diagnostic performance. In vitro assays,… More >