Ioannis A. Voutsadakis^1,2,3,*

Oncology Research, Vol.33, No.12, pp. 4073-4092, 2025, DOI:10.32604/or.2025.069230 - 27 November 2025

Abstract Background: E26 transformation-specific (ETS) family transcription factors have confirmed roles in several types of cancers. This study aimed to clarify the role of ETS family transcription factor alterations in gastric cancers. Methods: This study examines molecular alterations of ETS transcription factors in gastric adenocarcinomas based on an analysis of publicly available cohorts from the Protein Atlas and the Cancer Genome Atlas. The expression and relationships of members of the ETS transcription factor family with other important factors in the process of gastric carcinogenesis were evaluated using the same resources. Results: mRNA expression levels of ETS family… More >

Fangyuan Li^1,2,#, Xiaoyuan Hu^1,#, Xiaoge Gao³, Ling Liu³, Tao Li¹, Dan He¹, Jiaxing Cheng¹, Xiaobiao Ma¹, Li Li^1,*, Chunlei Ge^1,*, Hong Yao^1,*

Oncology Research, Vol.33, No.12, pp. 4029-4048, 2025, DOI:10.32604/or.2025.067628 - 27 November 2025

Abstract Background: Liver cancer stem cells (LCSCs) are recognized as pivotal drivers of hepatocellular carcinoma (HCC) progression; however, the molecular mechanisms maintaining their stem-like phenotype remain largely unresolved. This work investigates the role of prefoldin subunit 6-like protein (PFDN6L) in shaping LCSC traits and promoting or restraining HCC progression. Methods: PFDN6L, a cytoskeleton-associated chaperone, was studied using multiple in vitro assays—cell growth evaluation, cell cycle profiling, and spheroid culture—alongside analyses of stemness-associated markers (SOX2, CD133, CD44). Tumorigenic capacity was assessed in xenograft mouse models, and signaling pathway interrogation was performed to define underlying mechanisms. Results: In patient samples, More >

Mingyang Tang^1,2,#, Shengfu He^3,#, Bao Meng^1,2, Qingyue Zhang^1,2, Chengcheng Li^1,2, Yating Sun^1,2, Weijie Sun^1,2, Cui Wang⁴, Qingxiang Kong⁵, Yanyan Liu^1,2, Lifen Hu^1,2, Yufeng Gao^1,2, Qinxiu Xie^1,2, Jiabin Li^1,2,*, Ting Wu^1,2,*

Oncology Research, Vol.33, No.10, pp. 3077-3100, 2025, DOI:10.32604/or.2025.067065 - 26 September 2025

Abstract Background: Hepatocellular carcinoma (HCC) is a major cause of cancer-related deaths. The Nod-like receptor (NLR) family is involved in innate immunity and tumor progression, but its role in HCC remains unclear. This study aimed to evaluate the prognostic value and biological function of NLR genes in HCC. Methods: Transcriptomic and clinical data from The Cancer Genome Atlas were analyzed using nonnegative matrix factorization (NMF) to classify HCC into molecular subtypes. Differentially expressed genes were used to build an NLR-based prognostic model (NLR_score) through univariate Cox, least absolute shrinkage and selection operator (LASSO), and multivariate Cox… More > Graphic Abstract

Marie Chaumel¹, Nicolas Brichart², Franck Bruyère¹, Ali Bourgi^1,*

Canadian Journal of Urology, Vol.32, No.4, pp. 359-366, 2025, DOI:10.32604/cju.2025.066470 - 29 August 2025

Abstract Background: The COVID-19 pandemic disrupted healthcare systems globally, raising concerns about delayed cancer diagnosis and treatment. In France, transurethral resection of bladder tumors (TURBT) was prioritized in national urology guidelines to ensure the timely management of urothelial carcinoma. This study aimed to assess the impact of care reorganization on tumor staging, recurrence, palliative care, and mortality in bladder cancer patients from the pre-pandemic through late-pandemic periods. Methods: We conducted a retrospective multicenter study including all patients who underwent TURBT with histologically confirmed urothelial carcinoma between April and December of 2019 (pre-pandemic), 2020 (early pandemic), 2021… More >

Liangju Peng^1,2, Tingting Cai^1,2, Peihang Xu^1,2, Cong Chen³, Qingzhi Xiang^1,2, Yiping Zhu^1,2, Dingwei Ye^1,2,*, Yijun Shen^1,2,*

Oncology Research, Vol.33, No.9, pp. 2463-2489, 2025, DOI:10.32604/or.2025.064331 - 28 August 2025

Abstract Background: Studies have reported the special value of PANoptosis in cancer, but there is no study on the prognostic and therapeutic effects of PANoptosis in bladder cancer (BLCA). This study aimed to explore the role of PANoptosis in BLCA heterogeneity and its impact on clinical outcomes and immunotherapy response while establishing a robust prognostic model based on PANoptosis-related features. Methods: Gene expression profiles and clinical data were collected from public databases. Spatial heterogeneity of cell death pathways in BLCA was evaluated. Consensus clustering was performed based on identified PANoptosis genes. Cell death pathway scores, molecular, and… More >

Shengmin Li¹, Kejian Shi¹, Ying Wang^2,*, Yi Zhang^1,*

Oncology Research, Vol.33, No.9, pp. 2435-2449, 2025, DOI:10.32604/or.2025.063812 - 28 August 2025

Abstract Objectives: Lung cancer represents a major global healthcare challenge, characterized by high annual incidence and mortality rates worldwide. Although targeted therapies for lung cancer have advanced, treatment outcomes for advanced-stage patients remain suboptimal. This investigation examines the role of the translocase of the inner mitochondrial membrane (TIMM)8A-TIMM13 complex in lung cancer and evaluates its potential as a novel therapeutic target. Methods: A co-immunoprecipitation (Co-IP) assay was conducted to verify the interaction between TIMM8A and TIMM13. Differential gene expression analysis of TIMM8A or TIMM13 was executed using the TNMplot database, with survival estimates derived from the… More >

Bi Feng^#, Siqi Yang^#, Zhiqiang He, Yushi Dai, Ruiqi Zou, Yafei Hu, Haijie Hu^*, Fuyu Li^*

Oncology Research, Vol.33, No.9, pp. 2353-2377, 2025, DOI:10.32604/or.2025.061422 - 28 August 2025

Abstract Objectives: Hepatocellular carcinoma (HCC) is among the most frequently occurring malignant tumors of the digestive tract and is associated with an increased mortality rate worldwide. This study aimed to develop and validate a prognostic model based on immunogenic cell death (ICD)-related genes to predict patient survival and guide individualized treatment strategies for HCC. Methods: ICD-related genes were identified from the GeneCards database using a relevance score threshold of >10. A combination of least absolute shrinkage and selection operator (LASSO) regression and multivariate Cox analysis was used to screen prognostic genes and construct a risk score… More >

Yu-Tang Cao¹, Shin-Hung Lin¹, Raphael Brent Lau Hundangan², Edward Basaong Ang ², Tsung-Liang Wu^1,*

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5255-5277, 2025, DOI:10.32604/cmc.2025.066877 - 30 July 2025

Abstract The gantry crane system is a crucial equipment for loading and unloading containers at the shore site. The existing trend of crane technology is in the transition from in-site operators to remote operators outside the cargo handling site, which will comply with all safety regulations, including conditional crane monitoring. However, remote control introduces certain drawbacks in machine maintenance, as no on-site operators can provide real-time feedback on abnormalities. Therefore, this study proposes a failure detection system that uses vibratory sensors installed on machines to monitor and provide early warnings for various failures. For faulty event… More >

Nan Ding¹, Xingyu Zeng^2,*, Jianping Wu³, Liutao Zhao³

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5299-5315, 2025, DOI:10.32604/cmc.2025.064822 - 30 July 2025

Abstract Predicting the health status of stroke patients at different stages of the disease is a critical clinical task. The onset and development of stroke are affected by an array of factors, encompassing genetic predisposition, environmental exposure, unhealthy lifestyle habits, and existing medical conditions. Although existing machine learning-based methods for predicting stroke patients’ health status have made significant progress, limitations remain in terms of prediction accuracy, model explainability, and system optimization. This paper proposes a multi-task learning approach based on Explainable Artificial Intelligence (XAI) for predicting the health status of stroke patients. First, we design a More >

Gaofeng Pan^1,2,3, Jiali Li^1,2, Weijie Sun⁴, Jiayu He^1,2, Maoying Fu³, Yufeng Gao^1,2,*

Oncology Research, Vol.33, No.8, pp. 1991-2011, 2025, DOI:10.32604/or.2025.063993 - 18 July 2025

Abstract Aims: The aim of this study is to develop a prognostic model for hepatocellular carcinoma (HCC) using stemness-related genes (SRGs), while also pinpointing and validating pivotal genes associated with this process. Methods: Utilizing the TCGA and ICGC database, a prognostic stemness-related scores (SRS) for HCC through a combination of WGCNA and machine learning. Bioinformatics analysis evaluated tumor immune infiltration characteristics and drug sensitivity in different SRS subgroups, identifying the key gene TOMM40L. qRT-PCR and IHC were employed to detect the expression level of TOMM40 L. Kaplan-Meier survival analysis assessed the prognostic value of TOMM40L in… More >