Zhengzheng Li^1,2,#, Haitong Xie^1,2,#, Yujuan Chen^1,2, Qiuyan Li³, Xing Yuan⁴, Xinyue Dai³, Jie Chen^1,2,*

Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.081209 - 16 June 2026

Abstract Objectives: Triple-negative breast cancer (TNBC) is an aggressive subtype lacking targeted therapies. Phosphoglycerate kinase 1 (PGK1) drives TNBC progression, but mechanisms governing its protein stability remain unclear. This study aims to identify the E3 ubiquitin ligase responsible for PGK1 degradation and evaluate its therapeutic potential against metastasis. Methods: Clinical datasets and 50 human TNBC tissues were analyzed via multiplex immunohistochemistry. Co-immunoprecipitation, ubiquitination linkage assays, and structural modeling were utilized for in vitro mechanistic studies in TNBC cells. Additionally, functional impacts on epithelial-mesenchymal transition (EMT) and metastasis were evaluated using transwell assays and an in vivo mouse lung metastasis… More >

Guodong Yu^1,#, Weiying Ge^2,#, Hongliang Yao³, Xuefeng Bai¹, Jianfei Wu¹, Yuan Wang¹, Jiangtao Bai⁴, Yong Cui^1,*, Jijing Han^5,*

Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.080746 - 16 June 2026

Abstract Hepatocellular carcinoma (HCC) develops in a chronically inflamed and dysregulated liver metabolism, in which tumor progression and resistance to treatment are orchestrated by the changes in cellular metabolism and immune control. Growing evidence recognizes immunometabolic reprogramming as the two-way interaction of metabolic processes and immune cell capabilities as one of the major determinants of immune evasion and heterogeneity of treatment response in HCC. The review aims to comprehensively evaluate immunometabolic reprogramming in hepatocellular carcinoma, with a focus on its role in tumor progression, immune regulation, and its potential for biomarker identification and therapeutic targeting. Dysregulated More >

Ye Ri Han^1,*, Sang Bong Lee^2,3,4,*

Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.079556 - 16 June 2026

Abstract Colorectal cancer liver metastasis (CRLM) remains a leading cause of cancer-related mortality, with clinical outcomes limited by biological heterogeneity and inconsistent therapeutic responses. Despite advances in systemic chemotherapy, targeted agents, immunotherapy, and liver-directed interventions, the translation of preclinical efficacy into clinical benefit remains suboptimal, highlighting the need for predictive experimental models. However, therapeutic efficacy in CRLM is highly model-dependent, and discrepancies between preclinical findings and clinical outcomes often arise from differences in biological fidelity across experimental platforms. This review critically examines preclinical platforms used to study CRLM, with emphasis on orthotopic and metastatic models that More >

Marwa Balaha¹, Saad A. Aldosari², Ahmed A. Alamer², Nehad Ahmed², Mohamed F. Balaha^2,*

Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.077965 - 16 June 2026

Abstract Objectives: Tissue-agnostic oncology personalizes treatments based on shared molecular biomarkers, addressing challenges like assay variability, control-arm rigor, and non-proportional hazards. Integrating efficacy, safety, and resistance factors with consistent estimands is essential for evaluating biomarker-matched therapies across histologies. This review aims to quantify and compare their efficacy and safety, and to identify determinants of resistance, using PRISMA-compliant methods. Methods: We conducted a systematic review and random-effects meta-analysis of 38 studies (15,018 participants), employing dual screening, standardized bias assessment, and evaluations of heterogeneity and small-study effects. Hazard ratios (HRs) with 95% CIs were estimated for time-to-event outcomes, and… More > Graphic Abstract

Jinhui Che^1,2, Zhiyuan Chen¹, Feng Zhang^3,4, Shuo Zhu², Shengya Cao⁵, Ou Li¹, Rong Li^4,*, Jun Zheng^3,4,*, Yubin Liu^1,*

Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.067443 - 16 June 2026

Abstract Objective: Advanced liver cancer, a highly lethal and increasingly prevalent malignancy, frequently develops sorafenib resistance, with aberrant mitochondrial dynamics and metabolism implicated in its pathogenesis. This study aimed to investigate their interplay and assess combination therapies against sorafenib-resistant liver cancer. Methods: Mitochondrial morphology was assessed using immunofluorescent staining. Besides, the mitochondrial metabolic profile was evaluated by measuring the oxygen consumption rate, glucose uptake, and lactate production. Dynamin-related protein 1 (Drp1) expression was determined through immunohistochemical staining, western blotting, and reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Cell counting, colony formation, and cell cycle assays were conducted to… More >

Rubina Castro^1,2, Bruno Silva^1,3, Luiz Guerreiro Lopes^1,4, Fábio Mendonça^1,2,*

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.079979 - 15 June 2026

Abstract Path planning for autonomous underwater vehicles requires reliable and computationally efficient methods, particularly in cluttered environments. This work presents a comparative evaluation of representative approaches, including metaheuristic optimization methods (continuous genetic algorithm, particle swarm optimization, gray wolf optimizer, and Jaya), a sampling-based method (probabilistic roadmap with genetic refinement), a reactive strategy (artificial potential fields), and a control-based approach (model predictive control with control barrier functions). The algorithms are assessed in a controlled two-dimensional simulated workspace with randomly generated obstacles and systematically increasing obstacle density. Each configuration is evaluated across multiple independent trials using metrics such… More >

Mohammed Shukur Alfaras^1,2,*, Oguz Karan³, Sefer Kurnaz¹, Ayca Kurnaz Turkben⁴

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.079577 - 15 June 2026

Abstract Despite deep learning’s high precision in emotion identification, centralized training is associated with privacy and scalability concerns. The privacy-preserving federated learning model, Federated Hybrid-Optimized Emotion Recognition (Fed-HOER), introduced in this paper is an auto-tuning hyperparameters optimizer based on a hybrid Dung Beetle Optimizer-Fick’s Law Algorithm (DBO-FLA) optimizer. The global and local searches are optimized at two levels, and validation loss is minimized by 22%–24% without sharing raw data. The experiments on Extended Cohn–Kanade (CK+), Japanese Female Facial Expressions (JAFFE), and Karolinska Directed Emotional Faces (KDEF) exhibit a high generalization rate with a mean accuracy of More >

Poluru Eswaraiah¹, Uddagiri Sirisha^2,*, Shaik Abdul Nabi³, Revathi Durgam⁴, Pallavi Malavath⁵, Gilakara Muni Nagamani⁶

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.078511 - 15 June 2026

Abstract The growing volume of digital text complicates the extraction of relevant information from unstructured data. Transformer models such as BERT, ALBERT, and RoBERTa are powerful, but they may face challenges in hyperparameter optimization and adaptation to new domains. To address this issue, a hybrid ensemble BERT model is suggested, optimized using the Walrus Optimization Algorithm (WaOA). The framework applies PCA to reduce dimensionality, ontology normalization, and K-means clustering to improve semantic comprehension. Experimental results on the SQuAD 2.0 and MS MARCO datasets show that the proposed model outperforms the baseline models. WaOA (Weighted Average of More >

Xing-Guo Li^1,2,3,#, Lu-Kai Wang^4,#, Fu-Ming Tsai⁵, Hsueh-Chun Wang^1,*

BIOCELL, Vol.50, No.6, 2026, DOI:10.32604/biocell.2026.075492 - 09 June 2026

Abstract Itaconate, produced by aconitate decarboxylase 1 (ACOD1, also known as IRG1), acts as a key immunometabolite that inhibits succinate dehydrogenase (SDH) and can engage reduction-oxidation (redox)-sensitive signaling programs. This review summarizes the emerging, context-dependent roles of the ACOD1-itaconate axis in cancer, while critically distinguishing between the effects of endogenous itaconate and its cell-permeable derivatives. In tumor cells, endogenous ACOD1 expression or uptake via solute carrier family 13 member 3 (SLC13A3) alters oxidative phosphorylation and glycolysis. In the tumor microenvironment, myeloid-derived itaconate contributes to immune tolerance by reducing dendritic-cell cross-priming and limiting CD8⁺ T-cell metabolic activity. Moreover, More >

Andrew Scarborough¹, Yvoni Kyriakidou¹, Derek C. Lee², Tomás Duraj², Thomas N. Seyfried², Isabella D. Cooper^1,*

BIOCELL, Vol.50, No.6, 2026, DOI:10.32604/biocell.2026.074152 - 09 June 2026

Abstract The global rise in chronic, non-communicable diseases (NCDs) is inextricably linked to metabolic dysfunction, with hyperinsulinaemia acting as a potent upstream driver of ageing and age-related disease. Some of the most burdensome diseases of our time, including type 2 diabetes, cardiovascular disease, cancer, and neurodegenerative conditions, such as Alzheimer’s disease (AD), are largely underpinned by insulin resistance as part of a broader system of metabolic and mitochondrial dysfunction. These pathologies are particularly pronounced in the developed world, where obesity and other lifestyle-related conditions are major contributors to disease burden and premature mortality. As an upstream… More >