Impact Factor ISSN: 1837-9664
Research Paper EfficientNetB5-Based Deep Learning for Automated Cancer Detection in Tissue Microarray Images Full text PDF
Review Molecular mechanism and potential role of mitophagy in breast cancer Full text PDF
Review A candidate PPARγ to GPX4 axis in ferroptosis suppression and platinum resistance in bladder cancer: evidence appraisal and a testable research agenda Full text PDF
Research Paper Exosomes from Cancer-associated Fibroblasts Orchestrate Lung Metastasis of Breast Cancer via LncRNA LMAEP Full text PDF
Research Paper Radiation-induced SLAMF1 reconfigures the SLAM family receptors landscape in triple-negative breast cancer cells Full text PDF
Research Paper Per-patient Comparison of [68Ga]-FAPI-46 Versus [18F]FDG as PET Tracers in ER-positive Breast Cancer: Study Design of a Single-centre Prospective Study Full text PDF
Issue 9; 2026
Indexed in PubMed and SCI expanded; full texts in Europe PMC. ...
Molecular mechanism and potential role of mitophagy in breast cancer
Breast cancer remains the most commonly diagnosed malignancy among women worldwide and a leading cause of cancer related mortality in this population. Mitochondrial dysfunction is increasingly recognized as a hallmark of breast cancer, contributing to tumor initiation, progression, and therapeutic resistance. Mitophagy, a selective form of autophagy that eliminates damaged or dysfunctional mitochondria, is essential for maintaining cellular and mitochondrial ...
EfficientNetB5-Based Deep Learning for Automated Cancer Detection in Tissue Microarray Images
Background: Tissue microarray (TMA) technology is pivotal in cancer research, enabling simultaneous analysis of multiple samples on a single slide. Manual analysis of TMA images remains time-consuming and subjective. This study aimed to develop a robust deep learning model to automate TMA image analysis, enhance accuracy, and support cancer diagnosis. Methods: We utilized the EfficientNetB5 deep learning architecture to classify TMA images from the ...