Kassiani Lalechou, Despoina Pantazi^*

Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.074452 - 22 April 2026

Abstract Cancer-associated thrombosis (CAT) is a leading cause of morbidity and mortality among cancer patients. While venous thromboembolic events have been extensively studied due to their higher incidence, arterial thrombosis in cancer patients—referred to as cancer-associated arterial thromboembolism (CA-ATE)—is less well understood but may pose a greater danger. The pathophysiology of CA-ATE involves complex interactions between the tumor microenvironment, cancer cells, patient-related factors, and cancer therapies. Some chemotherapeutic agents, particularly platinum-based compounds (cisplatin, oxaliplatin), gemcitabine, taxanes, and targeted therapies such as tyrosine kinase inhibitors (TKIs), have been associated with an increased risk of arterial thrombosis. In… More > Graphic Abstract

Chia-Chia Chao¹, Cheng-Yao Lin^2,3,4, Po-Chun Chen^5,6,7, Wen-Tsung Huang², Teng-Song Weng⁸, Sheng-Yen Hsiao^2,9,*

Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.074383 - 22 April 2026

Abstract Background: Partial epithelial–mesenchymal transition (p-EMT) is a dynamic cellular state associated with metastasis and adverse outcomes in multiple cancers, but its prognostic significance in ovarian cancer remains unclear. This study aimed to develop and validate an ovarian cancer–specific transcriptomic signature based on p-EMT–related genes, and to determine whether this signature can improve prognostic stratification and overall survival prediction across independent cohorts. Methods: A pan-cancer p-EMT gene set was curated from ten published studies. Using transcriptomic and clinical data from TCGA-OV (n = 488), a six-gene p-EMT signature was developed via LASSO regression to generate a… More >

Abdul Manan^1,2, Sidra Ilyas^2,*

Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.074185 - 22 April 2026

Abstract Hepatocellular carcinoma (HCC) remains a significant global health challenge, with therapeutic efficacy in advanced stages often limited by underlying liver dysfunction and adaptive resistance. In this review, the evolving landscape of molecular targets and combinatorial strategies is critically examined, with a particular focus on the transition from preclinical discovery to clinical application. While traditional molecular heterogeneity is acknowledged, the aim is to elucidate how emerging computational paradigms are redefining target discovery and therapeutic stratification in HCC. The primary purpose is to evaluate the role of Artificial Intelligence (AI) and Machine Learning (ML) as integrative tools… More > Graphic Abstract

Jun-Hui Chen¹, Si-Run Du¹, Chang Liu¹, Bei-Bei Liu¹, Hai-Ying Xu², Xin-Ying Ji², Bo Feng³, Chun-Zheng Ma³, Jun-Hui Guo^3,*

Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.073484 - 22 April 2026

Abstract Esophageal cancer (EC) ranks among the most lethal gastrointestinal malignancies. Due to challenges in early diagnosis, molecular heterogeneity, and therapeutic resistance, patient prognosis remains extremely poor, necessitating the development of novel biomarkers and therapeutic targets. As a core effector of the Hippo signaling pathway, the potential significance of Yes-associated protein 1 (YAP1) has garnered increasing attention. This paper aims to systematically summarize the multi-omics research, molecular mechanisms, and preclinical/translational evidence for YAP1, covering its activation pathways, biological functions, clinical significance, and therapeutic strategies. We elucidated YAP1’s multidimensional regulatory network in EC, including Hippo-dependent and -independent mechanisms, cross-regulation… More >

Yahya Ghazwani^1,2,3, Mohammad Alghafees^1,2,3,*, Mishari Alshasha^1,2,3, Fahad Brayan^1,2,3, Abdulrahman Alsayyari^1,2,3, Ali Alyami^1,2,3

Canadian Journal of Urology, Vol.33, No.2, pp. 291-308, 2026, DOI:10.32604/cju.2026.077411 - 20 April 2026

Abstract Objectives: The emergence of artificial intelligence (AI) and predictive modeling offers prospects for clinical, anatomical, and imaging factor combination, like radiomics, to help with stone-free status (SFS) estimation and peroperative decision-making. The goal of this study was, therefore, to define the present performance range, determine sources of heterogeneity, and determine methodological practices permitting reliable implementation by varied circumstances. Methods: We searched six bibliographic databases through 19 September 2025. Studies deriving or validating AI/predictive models for SFS after ureteroscopy were eligible. Independent dual screening, duplicate data extraction, and risk-of-bias consideration using QUADAS-AI were conducted. Results: Five retrospective… More >

Jaisa Kaufmann^1,*, Max Bouvette², Abdul Qadar¹, Dominic Frimberger¹, Adam Rensing¹, Bhalaajee Meenakshi-Sundaram¹

Canadian Journal of Urology, Vol.33, No.2, pp. 451-457, 2026, DOI:10.32604/cju.2026.074190 - 20 April 2026

Abstract Background: Pediatric opioid use has been associated with serious adverse effects, including persistent use and overdose. Recent studies have shown that opioid needs may be minimal following outpatient pediatric urologic surgery. Post-operative pain regimens following pediatric penile surgery are not standardized. This study aimed to identify current opioid prescribing practices following hypospadias repair. Methods: An online survey was administered to members of the Societies for Pediatric Urology, including eight questions surrounding physician demographics, hypospadias repair case volume, attitudes regarding opioid prescription in pediatric urology, and post-operative pain regimens. Responses were stratified for analysis. Results: A total… More >

Zhenzhen Yang^1,#, Linxin Jiang^2,#, Shan Yin^3,*

Canadian Journal of Urology, Vol.33, No.2, pp. 261-270, 2026, DOI:10.32604/cju.2025.069717 - 20 April 2026

Abstract Objectives: Kidney stone disease is increasingly prevalent and may be linked to metabolic factors such as insulin resistance, but there is currently no direct evidence connecting estimated glucose disposal rate (eGDR) to kidney stones. This study aimed to investigate the relationship between eGDR and kidney stone prevalence. Methods: We conducted a cross-sectional analysis utilizing data from the National Health and Nutrition Examination Survey (NHANES) from 2007–2018, including 29,753 participants aged 20 years and older. Weighted multivariable logistic regression and nonlinear models were employed to assess the relationship between eGDR and self-reported kidney stone history. Results: Among… More > Graphic Abstract

Xiangyu Chen^#, Congzhe Ren^#, Lijun Xie, Xiaoqiang Liu^*

Canadian Journal of Urology, Vol.33, No.2, pp. 339-348, 2026, DOI:10.32604/cju.2025.069578 - 20 April 2026

Abstract Background: Regional differences in the incidence of prostate cancer (PCa) and prostatitis may be due to different food intake. But which foods affect PCa and prostatitis development or progression remains controversial. This study aims to explore the causal relationship between PCa and prostatitis and 30 different foods using two-sample Mendelian randomization (MR) and multivariable MR (MVMR) analysis. Methods: Data on 30 different foods were screened from the UK Biobank. PCa data came from a large meta-analysis of 140,254 individuals; prostatitis was obtained from the FinnGen consortium. The inverse variance weighted method was the main analysis… More >

Kai Dang^1,2,#, Teng Cui^1,2,#, Yongan Zhou^1,2, Jiayuan Ji^1,2, Yang Yang^1,2, Xiangyu Wang^1,2, Jing Xiao^1,2,*

Canadian Journal of Urology, Vol.33, No.2, pp. 403-415, 2026, DOI:10.32604/cju.2026.068291 - 20 April 2026

Abstract Objectives: Although renal colic is a well-known acute manifestation of urolithiasis, the relationship between its pain severity and a range of clinical parameters has not been clearly established by comprehensive studies. This study aimed to construct and validate a simple and accurate clinical nomogram for predicting the occurrence of more intense acute renal colic (ARC) in patients with urolithiasis. Methods: The development and validation of the prediction model followed the reporting standards outlined in the TRIPOD checklist. A retrospective analysis was conducted on 285 patients who visited the Department of Urology at Beijing Friendship Hospital,… More >

Daniil Kamakaev, Khaled Mahbub^*

Journal on Artificial Intelligence, Vol.8, pp. 183-202, 2026, DOI:10.32604/jai.2026.077823 - 15 April 2026

Abstract This paper presents an innovative system designed to automate the analysis of candidate interviews by integrating multiple analytical techniques into a single multimodal framework. This system combines text sentiment analysis, audio sentiment analysis, keyword extraction, and Mel-Frequency Cepstral Coefficients (MFCC) feature extraction to evaluate candidate performance holistically. This system employs text sentiment analysis using VADER and transformer-based sentiment features (probability-based outputs), audio sentiment analysis with an SVM model trained on both IEMOCAP and MELD datasets, keyword extraction via KeyBERT, and audio feature extraction including MFCCs, delta MFCCs, pitch, and energy to evaluate candidate performance holistically. More >