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Search Results (109)
  • Open Access

    REVIEW

    HBx Protein in Hepatitis B Virus-Related Hepatocellular Carcinoma: Pathogenic Mechanisms and Emerging Interventions

    Chung-Che Tsai1,#, Chih-Hung Lin2,#, Katherine Lin3,4, Jia Hong Hubert Chen4,5, Ying Jie Celia Chen4,5, Ilyssa Ting-Ying Chang3,4, Hsu-Hung Chang6, Jin-Yin Chang7, Tin-Yi Chu8, Po-Chih Hsu4,8,*, Chan-Yen Kuo8,*

    BIOCELL, Vol.50, No.3, 2026, DOI:10.32604/biocell.2025.073698 - 23 March 2026

    Abstract Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide, most commonly driven by chronic hepatitis B virus (HBV) infection. The HBV X protein (HBx) plays a central role in hepatocarcinogenesis by regulating transcription, signal transduction, epigenetic modification, and interactions with noncoding RNAs. This review summarizes current advances in HBx-mediated signaling pathways and mutation-specific functions, highlighting its potential as a prognostic biomarker and therapeutic target, and providing insights for future strategies in HCC treatment and HBV eradication. Activation of nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB), cAMP response element binding protein/activating transcription factor More > Graphic Abstract

    HBx Protein in Hepatitis B Virus-Related Hepatocellular Carcinoma: Pathogenic Mechanisms and Emerging Interventions

  • Open Access

    ARTICLE

    Predicting Immunotherapy Outcomes in Colorectal Cancer Using Machine Learning and Multi-Omic Biomarkers: Development of a Real-Time Predictive Web Application

    Thomas Kidu1, Harini Kethar2, Haben Gebrekidan3, Haleem Farman4, Ahmed Sedik4,5, Walid El-Shafai6,7, Jawad Khan8,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.2, 2026, DOI:10.32604/cmes.2026.076798 - 26 February 2026

    Abstract Colorectal cancer is the third most diagnosed cancer worldwide, and immune checkpoint inhibitors have shown promising therapeutic outcomes in selected patient groups. This study performed a comprehensive analysis of multi-omics data from The Cancer Genome Atlas colorectal adenocarcinoma cohort (TCGA-COADREAD), accessed through cBioPortal, to develop machine learning models for predicting progression-free survival (PFS) following immunotherapy. The dataset included clinical variables, genomic alterations in Kirsten Rat Sarcoma Viral Oncogene Homolog (KRAS), B-Raf Proto-Oncogene (BRAF), and Neuroblastoma RAS Viral Oncogene Homolog (NRAS), microsatellite instability (MSI) status, tumor mutation burden (TMB), and expression of immune checkpoint genes. Kaplan–Meier… More >

  • Open Access

    ARTICLE

    MCPSFOA: Multi-Strategy Enhanced Crested Porcupine-Starfish Optimization Algorithm for Global Optimization and Engineering Design

    Hao Chen1, Tong Xu1, Yutian Huang2, Dabo Xin1,*, Changting Zhong1,3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2026.075792 - 29 January 2026

    Abstract Optimization problems are prevalent in various fields of science and engineering, with several real-world applications characterized by high dimensionality and complex search landscapes. Starfish optimization algorithm (SFOA) is a recently optimizer inspired by swarm intelligence, which is effective for numerical optimization, but it may encounter premature and local convergence for complex optimization problems. To address these challenges, this paper proposes the multi-strategy enhanced crested porcupine-starfish optimization algorithm (MCPSFOA). The core innovation of MCPSFOA lies in employing a hybrid strategy to improve SFOA, which integrates the exploratory mechanisms of SFOA with the diverse search capacity of… More >

  • Open Access

    ARTICLE

    Detection of KRAS, NRAS and BRAF Mutations in Liquid Biopsy from Patients with Colorectal Cancer

    Katerina Ondraskova1,2, Matous Cwik3, Ondrej Horky4, Jitka Berkovcova4, Jitka Holcakova1, Martin Bartosik1, Tomas Kazda5, Klara Mrazova1,6, Michal Uher7, Igor Kiss3, Roman Hrstka1,3,*

    Oncology Research, Vol.34, No.2, 2026, DOI:10.32604/or.2025.070116 - 19 January 2026

    Abstract Objectives: Cancer treatment relies heavily on accurate diagnosis and effective monitoring of the disease. These processes often involve invasive procedures, such as colonoscopy, to detect malignant tissues, followed by molecular analyses to determine relevant biomarkers. This study aimed to evaluate the clinical performance of droplet digital PCR (ddPCR) for detecting Kirsten Rat Sarcoma Viral Proto-Oncogene (KRAS), Neuroblastoma RAS Viral Oncogene Homolog (NRAS), and B-Raf Murine Sarcoma Viral Oncogene Homolog B (BRAF) mutations in circulating tumor DNA (ctDNA) from colorectal cancer patients using liquid biopsy. Methods: ctDNA was isolated from colorectal cancer (CRC) patients (n = 110) and analyzed for KRAS, BRAF,… More >

  • Open Access

    ARTICLE

    Biological Features of KLC2 Mutations in Chronic Myeloid Leukemia and Their Contribution to Inducing Drug Resistance

    Rabindranath Bera1,#, Yotaro Ochi2,3, Ying-Jung Huang1, Ming-Chung Kuo1,4, Kenichi Yoshida5, Seishi Ogawa2, Lee-Yung Shih1,4,*

    Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.070259 - 30 December 2025

    Abstract Background: Breakpoint Cluster Region-Abelson (BCR::ABL1) fusion protein is essential in the pathogenesis of chronic myeloid leukemia (CML); however, the chronic-to-blast phase transformation remains elusive. We identified novel kinesin light chain 2 (KLC2) mutations in CML-myeloid blast phase patients. We aimed to examine the functional role of KLC2 mutations in leukemogenesis. Methods: To evaluate the biological role of KLC2 mutants (MT) in CML cells, we expressed KLC2-MT in different human CML cell lines harboring BCR::ABL1 and performed immunoblot, immunofluorescence, cell proliferation, differentiation, and apoptosis; Tyrosine kinase inhibitor (TKI)-drug activities; and clonogenic assays for in vitro functional analyses. We co-expressed KLC2-MTMore >

  • Open Access

    ARTICLE

    Enhancing Ransomware Resilience in Cloud-Based HR Systems through Moving Target Defense

    Jay Barach*

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-23, 2026, DOI:10.32604/cmc.2025.071705 - 09 December 2025

    Abstract Human Resource (HR) operations increasingly rely on cloud-based platforms that provide hiring, payroll, employee management, and compliance services. These systems, typically built on multi-tenant microservice architectures, offer scalability and efficiency but also expand the attack surface for adversaries. Ransomware has emerged as a leading threat in this domain, capable of halting workflows and exposing sensitive employee records. Traditional defenses such as static hardening and signature-based detection often fail to address the dynamic requirements of HR Software as a Service (SaaS), where continuous availability and privacy compliance are critical. This paper presents a Moving Target Defense… More >

  • Open Access

    ARTICLE

    GSLDWOA: A Feature Selection Algorithm for Intrusion Detection Systems in IIoT

    Wanwei Huang1,*, Huicong Yu1, Jiawei Ren2, Kun Wang3, Yanbu Guo1, Lifeng Jin4

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-24, 2026, DOI:10.32604/cmc.2025.068493 - 10 November 2025

    Abstract Existing feature selection methods for intrusion detection systems in the Industrial Internet of Things often suffer from local optimality and high computational complexity. These challenges hinder traditional IDS from effectively extracting features while maintaining detection accuracy. This paper proposes an industrial Internet of Things intrusion detection feature selection algorithm based on an improved whale optimization algorithm (GSLDWOA). The aim is to address the problems that feature selection algorithms under high-dimensional data are prone to, such as local optimality, long detection time, and reduced accuracy. First, the initial population’s diversity is increased using the Gaussian Mutation More >

  • Open Access

    CASE REPORT

    Familial Uhl’s Anomaly: A Congenital Heart Disease Case Report

    Yufei Xie1,#, Jing Wang2,#, Qun Wu1, Haoxuan Li2, Xiaomin Duan1, Fangyun Wang1, Xin Zhang1,*, Xiaofeng Li3,*

    Congenital Heart Disease, Vol.20, No.6, pp. 737-742, 2025, DOI:10.32604/chd.2025.073905 - 10 February 2026

    Abstract Uhl’s anomaly is an exceedingly rare (fewer than 1 in 1,000,000 live births) and often fatal congenital heart disease characterized by the near-complete absence of the right ventricular (RV) myocardium. Although typically considered sporadic, we report a familial case suggesting an inherited etiology. A 12-year-old boy presented with exertional chest pain and a decade-long history of an abnormal cardiac silhouette. Comprehensive imaging revealed apical RV wall thinning, aneurysmal bulging with trabeculations, and severely impaired RV function, with a Tricuspid Annular Plane Systolic Excursion (TAPSE) of 10 mm and a Fractional Area Change (FAC) of 35%.… More >

  • Open Access

    ARTICLE

    Computational Tools Identify Novel Mechanisms for Feline Color-Pointed Phenotypes Based on Tyrosinase Mutations

    Helen Fenske1, Ingrid R. Niesman2,*

    BIOCELL, Vol.49, No.12, pp. 2433-2455, 2025, DOI:10.32604/biocell.2025.071078 - 24 December 2025

    Abstract Objective: Tyrosinase is the rate-limiting enzyme in the generation of melanin. The feline tyrosinase mutation, G302R, confers temperature-sensitive loss of function, resulting in the familiar Siamese cat phenotype. Crystal or cryoEM structures are elusive for any mammalian tyrosinase to date. Protein misfolding is suggested as a basis for phenotypes resulting from mutant tyrosinases, but this hypothesis needs structural confirmation. Our objective for this study is to confirm misfolding of mutant tyrosinase as a basis for temperature-sensitive phenotypes compared to catalytic dysfunction that may be responsible for other tyrosinase mutant breed phenotypes. Methods: We have employed… More >

  • Open Access

    ARTICLE

    RFX1 Regulates Immune Microenvironment and Predicts Immunotherapy Response in Colon Cancer: A Multi-Omics and Clinical Analysis

    Zhujiang Dai1,2,#, Xiaoyong Ge1,2,#, Wenbo Tang1,2, Chen-Ying Liu1,2, Yun Liu1,2,*, Zhongchuan Wang1,2,*

    Oncology Research, Vol.33, No.12, pp. 4113-4143, 2025, DOI:10.32604/or.2025.068473 - 27 November 2025

    Abstract Objective: The plastic role of regulatory factor X1 (RFX1) in colon cancer progression and its impact on the tumor microenvironment remain poorly understood. The study aimed to clarify the molecular and clinical role of RFX1 in colon cancer. Methods: We classified colon cancers into subgroups with high and low RFX1 expression and characterized their immune profiles, mutational profiles, cancer immunotherapy and drug sensitivity. By combining RFX1 expression with persistent tumor mutational burden, we proposed a novel nomogram clinical prediction model and validated its predictive performance, and the correlation between high expression and poor prognosis. Results: Compared… More > Graphic Abstract

    RFX1 Regulates Immune Microenvironment and Predicts Immunotherapy Response in Colon Cancer: A Multi-Omics and Clinical Analysis

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