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  • Open Access

    RETRACTION

    Retraction: MicroRNA-148a Acts as a Tumor Suppressor in Osteosarcoma via Targeting Rho-Associated Coiled-Coil Kinase

    Oncology Research Editorial Office

    Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.077270 - 30 December 2025

    Abstract This article has no abstract. More >

  • Open Access

    RETRACTION

    Retraction: MicroRNA-133b Inhibits Proliferation, Cellular Migration, and Invasion via Targeting LASP1 in Hepatocarcinoma Cells

    Oncology Research Editorial Office

    Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.077269 - 30 December 2025

    Abstract This article has no abstract. More >

  • Open Access

    REVIEW

    RP11-Derived Long Non-Coding RNAs in Hepatocellular Carcinoma: Hidden Treasures in Plain Sight

    Se Ha Jang1,2,#, Hyung Seok Kim3,#, Jung Woo Eun1,*

    Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.072240 - 30 December 2025

    Abstract Hepatocellular carcinoma (HCC) remains one of the most prevalent and lethal malignancies worldwide. Long non-coding RNAs (lncRNAs) have emerged as crucial regulators of gene expression and cancer progression, yet the functional diversity of RP11-derived lncRNAs—originally mapped to bacterial artificial chromosome (BAC) clones from the Roswell Park Cancer Institute—has only recently begun to be appreciated. This mini-review aims to systematically synthesize current findings on RP11-derived lncRNAs in HCC, outlining their genomic origins, molecular mechanisms, and biological significance. We highlight their roles in metabolic reprogramming, microRNA network modulation, and tumor progression, as well as their diagnostic and More >

  • Open Access

    REVIEW

    Branched-Chain Amino Acid Metabolic Reprogramming and Cancer: Molecular Mechanisms, Immune Regulation, and Precision Targeting

    Dongchi Cai1,2,#, Jialin Ji3,#, Chunhui Yang1,*, Hong Cai1,*

    Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.071152 - 30 December 2025

    Abstract Metabolic reprogramming involving branched-chain amino acids (BCAAs)—leucine, isoleucine, and valine—is increasingly recognized as pivotal in cancer progression, metastasis, and immune modulation. This review comprehensively explores how cancer cells rewire BCAA metabolism to enhance proliferation, survival, and therapy resistance. Tumors manipulate BCAA uptake and catabolism via high expression of transporters like L-type amino acid transporter 1 (LAT1) and enzymes including branched chain amino acid transaminase 1(BCAT1), branched chain amino acid transaminase 2 (BCAT2), branched-chain alpha-keto acid dehydrogenase (BCKDH), and branched chain alpha-keto acid dehydrogenase kinase (BCKDK). These alterations sustain energy production, biosynthesis, redox homeostasis, and oncogenic… More >

  • Open Access

    ARTICLE

    Integrative Multi-Omics Analysis and Experiments Validation Identify COX5B as a Novel Therapeutic Target for Lung Adenocarcinoma

    Lv Ling1,#, Minying Lu2,#, Ling Ye3, Yuanhang Chen2, Sheng Lin2, Jun Yang2, Yu Rong2,*, Guixiong Wu4,*

    Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.069889 - 30 December 2025

    Abstract Background: A significant proportion of patients still cannot benefit from existing targeted therapies and immunotherapies, making the search for new treatment strategies extremely urgent. In this study, we combined integrate public data analysis with experimental validation to identify novel prognostic biomarkers and therapeutic targets for lung adenocarcinoma (LUAD). Methods: We analyzed RNA and protein databases to assess the expression levels of cytochrome C oxidase 5B (COX5B) in LUAD. Several computational algorithms were employed to investigate the relationship between COX5B and immune infiltration in LUAD. To further elucidate the role of COX5B in LUAD, we utilized… More > Graphic Abstract

    Integrative Multi-Omics Analysis and Experiments Validation Identify COX5B as a Novel Therapeutic Target for Lung Adenocarcinoma

  • Open Access

    ARTICLE

    MFF-YOLO: A Target Detection Algorithm for UAV Aerial Photography

    Dike Chen1,2,3, Zhiyong Qin2, Ji Zhang2, Hongyuan Wang1,2,*

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-17, 2026, DOI:10.32604/cmc.2025.072494 - 09 December 2025

    Abstract To address the challenges of small target detection and significant scale variations in unmanned aerial vehicle (UAV) aerial imagery, which often lead to missed and false detections, we propose Multi-scale Feature Fusion YOLO (MFF-YOLO), an enhanced algorithm based on YOLOv8s. Our approach introduces a Multi-scale Feature Fusion Strategy (MFFS), comprising the Multiple Features C2f (MFC) module and the Scale Sequence Feature Fusion (SSFF) module, to improve feature integration across different network levels. This enables more effective capture of fine-grained details and sequential multi-scale features. Furthermore, we incorporate Inner-CIoU, an improved loss function that uses auxiliary More >

  • 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

    The Research on Low-Light Autonomous Driving Object Detection Method

    Jianhua Yang*, Zhiwei Lv, Changling Huo

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-18, 2026, DOI:10.32604/cmc.2025.068442 - 10 November 2025

    Abstract Aiming at the scale adaptation of automatic driving target detection algorithms in low illumination environments and the shortcomings in target occlusion processing, this paper proposes a YOLO-LKSDS automatic driving detection model. Firstly, the Contrast-Limited Adaptive Histogram Equalisation (CLAHE) image enhancement algorithm is improved to increase the image contrast and enhance the detailed features of the target; then, on the basis of the YOLOv5 model, the Kmeans++ clustering algorithm is introduced to obtain a suitable anchor frame, and SPPELAN spatial pyramid pooling is improved to enhance the accuracy and robustness of the model for multi-scale target… More >

  • Open Access

    EDITORIAL

    Current practices and future directions in prostate biopsy techniques: insights from a meta-analysis and european multicenter survey

    Xingkang Jiang*, Jing Tian, Yong Xu

    Canadian Journal of Urology, Vol.32, No.6, pp. 539-540, 2025, DOI:10.32604/cju.2025.073363 - 30 December 2025

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Adult urologic sarcomas: a single institution experience over 25 years

    Abdul Baseet Arham1, John M. Rieth2, Michael A. O’Donnell3,*

    Canadian Journal of Urology, Vol.32, No.6, pp. 605-620, 2025, DOI:10.32604/cju.2025.063632 - 30 December 2025

    Abstract Background: Genitourinary (GU) sarcomas are rare soft tissue malignancies, comprising around 2% of all GU cancers. Due to their rarity, limited data exist on optimal management and long-term outcomes. This study presents a 25-year single-institution experience, evaluating clinical presentation, treatment strategies, and survival outcomes, aims to identify trends over time and potential predictors of prognosis. Methods: A retrospective review was conducted of patients aged ≥18 years diagnosed with GU sarcomas at the University of Iowa Hospitals and Clinics (1998–2023). Data on tumor subtype, staging, histopathology, treatment modalities, and survival outcomes were analyzed. Kaplan-Meier analysis estimated… More >

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