Wendong Jia^#, Ting Zhang^#, Ziying Zhang, Lingzhi Wu, Xihao Fu, Zhenxin Wang^*, Ni Yin^*

Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.068651 - 30 December 2025

Abstract Objectives: Chromobox 4 (CBX4), a polycomb protein family member linked to tumor pathogenesis via dysregulation, has an incompletely defined role in gastric cancer (GC). The study aimed to investigate the role and mechanism of CBX4 in GC progression and evaluate its potential as a therapeutic target. Methods: CBX4 expression was assessed in GC tissues vs. adjacent non-cancerous tissues and in GC cell lines vs. normal gastric mucosal epithelial cells. Clinicopathological correlations were analyzed. Functional impacts of CBX4 were determined using knockdown and overexpression models in vitro (cell proliferation, migration, invasion) and in vivo (xenograft tumorigenesis in nude… More >

Xiaopan Zou^1,2, Meiyang Sun³, Xin Jiang¹, Jingze Yu², Xiaomeng Li^4,*, Bingyu Nie^1,*

Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.066662 - 30 December 2025

Abstract Objective: Triple-negative breast cancer (TNBC) is highly aggressive and lacks an effective targeted therapy. This study aimed to elucidate the functions and possible mechanisms of action of zinc finger miz-type containing 2 (ZMIZ2) and minichromosome maintenance complex component 3 (MCM3) in TNBC progression. Methods: The relationship between ZMIZ2 expression and clinical characteristics of TNBC was investigated. In vitro and in vivo experiments were performed to investigate the role of ZMIZ2 dysregulation in TNBC cell malignant behaviors. The regulatory relationship between ZMIZ2 and MCM3 was also explored. Transcriptome sequencing was performed to elucidate possible mechanisms underlying the ZMIZ2/MCM3… More >

Zhimin Zhao, Liyun Feng, Dongsheng Song, Ming Zhang^*

Journal of Polymer Materials, Vol.42, No.4, pp. 929-957, 2025, DOI:10.32604/jpm.2025.074529 - 26 December 2025

Abstract Global water pollution is becoming increasingly serious, and compound pollutants such as heavy metals and organic dyes pose multidimensional threats to ecology and human health. Metal-organic skeleton compounds (MOFs) have been proven to be highly efficient in capturing a variety of pollutants by virtue of their large specific surface area, adjustable pore channels, and abundant active sites. However, the easy agglomeration of powders, the difficulty of recycling, and the poor long-term stability have limited their practical applications. Cellulose, as the most abundant renewable polymer in nature, has the characteristics of a three-dimensional network, mechanical flexibility,… More >

Kezheng Gao¹, Shuaifei Li¹, Qingyuan Niu², Xiaojing Zhang^2,*

Journal of Renewable Materials, Vol.13, No.12, pp. 2309-2353, 2025, DOI:10.32604/jrm.2025.02025-0108 - 23 December 2025

Abstract The current global shortage of oil resources and the pollution problems caused by traditional barrier materials urgently require the search for new substitutes. Biodegradable bio-based barrier materials possess the characteristics of being renewable, environmentally friendly, and having excellent barrier properties. They have become an important choice in fields such as food packaging, agricultural film covering, and medical protection. This review systematically analyzes the design and research of this type of material, classifying biobased and biodegradable barrier materials based on the sources of raw materials and synthesis pathways. It also provides a detailed introduction to the More >

Oncology Research Editorial Offfce

Oncology Research, Vol.33, No.12, pp. 4157-4157, 2025, DOI:10.32604/or.2025.075991 - 27 November 2025

Abstract This article has no abstract. More >

Si Qin, Shu Tang, Lijiao Xie, Jianbo Zhu, Jianguo Sun^*

Oncology Research, Vol.33, No.12, pp. 4145-4154, 2025, DOI:10.32604/or.2025.068300 - 27 November 2025

Abstract Background: Primary pulmonary lymphoepithelioma-like carcinoma (PPLELC) is a rare subtype of primary non-small cell lung cancer (NSCLC), with no established treatment guidelines. We present a case of a young female with PPLELC who achieved a pathological complete response (pCR) in both primary and metastatic lesions after receiving combined immunotherapy and radiotherapy. Case description: We present a 33-year-old female patient with stage IVa (cT2bN0M1b) PPLELC. As a first-line treatment, the patient received seven cycles of nab-paclitaxel combined with toripalimab (a PD-1 inhibitor) and achieved stable disease. This was followed by toripalimab maintenance therapy for nearly 30 months.… More >

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 >