Shaojian Zou^1,#, Lipeng Zhang^2,#, Xiang Chen^3,#, Zhuomin Wang², Xinhui Zhu², Dandong Luo⁴, Shengxun Mao^2,*, Zhen Zong^2,*

Oncology Research, Vol.33, No.12, pp. 3753-3788, 2025, DOI:10.32604/or.2025.067586 - 27 November 2025

Abstract Traditional cancer therapies have limitations like poor efficacy on advanced tumors, healthy tissue damage, side effects, and drug resistance, creating an urgent need for new strategies. Hydrogels have good biocompatibility and controlled release, while extracellular vesicles (EVs) enable targeting and bioactive transport. This review systematically summarizes hydrogels and EVs, focusing on the construction of hydrogel-EV delivery system, key influencing factors, drug delivery mechanisms, and tumor therapy apps, clarifying their synergies. The system overcomes single-carrier flaws, construction methods/key factors affect performance, preclinical studies have confirmed efficacy in multiple therapies, but large-scale production and in vivo stability challenges More >

David Amilo^1,*, Khadijeh Sadri¹, Evren Hincal^1,2, Mohamed Hafez^3,4

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 >

Zhaoqi Li, Xuan Liu, Hengkong Zhao, Zhen Zhang^*, Yan Li

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.4, pp. 1-1, 2025, DOI:10.32604/icces.2025.012239

Abstract The growing use of ultra-thick composite laminates in aerospace structures demands a deeper understanding of their unique damage mechanisms under tensile loading, which differ significantly from those of thin laminates. This study introduces a novel 3D progressive damage model combining solid elements, the LaRC05 3D failure criterion (enhanced with through-thickness in-situ strengthening effects), and a mixed-mode cohesive zone model (CZM) to predict interlaminar delamination. The model captures the interaction between in-plane damage and through-thickness failure modes in open-hole ultra-thick composites, and addresses stress redistribution, localized buckling, delamination migration, and in-situ strength enhancement. Mesh sensitivity analysis… More >

Jian-Guo Wen

Canadian Journal of Urology, Vol.32, No.5, pp. 367-368, 2025, DOI:10.32604/cju.2025.073520 - 30 October 2025

Abstract This article has no abstract. More >

Zheng Liu^1,#, Xuhong Yan^2,#, Guicheng Liu¹, Jingyi Zhang¹, Xujun Yu³, Degui Chang^1,*, Liang Dong^3,*

Canadian Journal of Urology, Vol.32, No.5, pp. 385-400, 2025, DOI:10.32604/cju.2025.068136 - 30 October 2025

Abstract Late-onset hypogonadism (LOH), characterized by the intersection of aging and androgen deficiency, impacts the health of approximately 2%−39% of middle-aged and elderly men, underscoring the need for comprehensive research. Animal models, serving as analogs of human diseases, are indispensable for investigating disease mechanisms and facilitating drug development. However, the diverse array of animal models utilized for LOH research has led to a lack of standardized modeling approaches and evaluation systems, potentially impeding progress in understanding the pathogenesis and therapeutic development. In this paper, we summarize and compile the characteristics, methods, and evaluation systems of rodent More >

Sihai Duan^1,2,#, Xiaoyan Li^3,#, Cailu Song³, Song Wu³, Yunyun Tang^3,4, Qing Bao^3,4, Na Li^3,*, Hailin Tang^3,*

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 >

Botao Pan¹, Zirun Luo², Xiujuan Yang¹, Qingqing Liu³, Zhimin Yang^4,*, Chenglai Xia^1,3,*

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 >

Ying Fang^1,2,3,#, Anqi Wu^2,4,#, Yu-Sheng Cong^5,*, Guoqing Li^1,2,*

Oncology Research, Vol.33, No.11, pp. 3231-3245, 2025, DOI:10.32604/or.2025.066402 - 22 October 2025

Abstract Gastric Cancer (GC) is a highly prevalent and poorly prognostic gastrointestinal malignancy with low overall treatment efficacy worldwide. Early diagnostic markers and potential therapeutic targets for GC treatment are urgently needed. UFMylation, a novel ubiquitin-like modification is indispensable for numerous fundamental cellular processes. Deficiency in this modification is reported to be associated with several human diseases including cancer. Accumulating evidence suggests that the expression of the key UFMylation components is closely associated with GC cell proliferation, invasion, metastasis, and chemotherapy resistance. Recent clinical studies have further highlighted the prognostic value and therapeutic potential of UFMylation More >

Yun Zhou^1,2, Shixiong Liu^1,2, Ya Zheng^1,3,4, Yuping Wang^1,3,4,*, Yongning Zhou^1,3,4,*

BIOCELL, Vol.49, No.10, pp. 1967-1983, 2025, DOI:10.32604/biocell.2025.069869 - 22 October 2025

Abstract Background: Gastric cancer (GC) is a prevalent cause of death. 3,9-Di-O-methylnissolin (DOM) is a flavonoid isolated from Astragalus membranaceus. It has anticancer and anti-inflammatory effects, but its effect and mechanism of action on GC are not very clear. Methods: The appropriate concentration was selected after observing the effects of varying concentrations of DOM on the viability of GC cells, which was examined through the cell counting kit-8 (CCK-8) assay. The receptor-interacting protein kinase 2 (RIPK2) overexpression plasmid was transfected into GC cells, which were then treated with DOM. Cell cycle and proliferation, RIPK2 levels, and inflammatory… More > Graphic Abstract

Hong Wu, Yang Liu^*

BIOCELL, Vol.49, No.10, pp. 1985-2006, 2025, DOI:10.32604/biocell.2025.069527 - 22 October 2025

Abstract Background: Acute pancreatitis (AP) is a serious gastrointestinal disorder. Tetramethylpyrazine (TMP), a bioactive alkaloid extracted from Ligusticum chuanxiong, exhibits various pharmacological effects, but its protective mechanisms against AP remain unclear. This study aimed to investigate the protective effects and underlying mechanisms of TMP in AP. Methods: The study utilized Cerulein (CER) to model pancreatitis across experimental systems. Cellular responses were characterized through functional assays (CCK-8 viability, EdU proliferation, Transwell migration, flow cytometric apoptosis, Fluo-3/AM calcium imaging) and inflammatory profiling (ELISA for trypsin, CRP, TNF-α, IL-1β, IL-6). Autophagy was monitored via mRFP-GFP-LC3 flux and LysoTracker staining, with… More > Graphic Abstract