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Research Paper Targeting MUC16 to Reverse Anoikis Resistance: A Promising Strategy for Metastatic Lung Adenocarcinoma Therapy Full text PDF
Research Paper Longitudinal CT-based deep learning radiomics for predicting prognosis in esophageal squamous cell carcinoma treated with definitive chemoradiotherapy: a two-center study Full text PDF
Research Paper Therapeutic Targeting of Oxidative Phosphorylation in Microsatellite Instability-High Gastric Cancer Full text PDF
Research Paper WISP-3 promotes angiogenesis in non-small cell lung cancer through p38/JNK-c-Jun-mediated PDGF-A upregulation Full text PDF
Research Paper High PMS2 Expression-Based Nomogram for Risk Stratification in Resected Hepatocellular Carcinoma: Application to Recurrence and Neoadjuvant Therapy Selection Full text PDF
Review Roles of Cellular Neighborhoods in Lung Cancer Full text PDF
Issue 3; 2026
Indexed in PubMed and SCI expanded; full texts in Europe PMC. ...
Purpose: To develop and validate a longitudinal deep-learning based survival prediction model for esophageal squamous cell carcinoma (ESCC) patients who received definitive concurrent chemoradiotherapy (CCRT). Methods: A total of 257 ESCC patients from two centers were recruited. Among them, 205 patients were in the training cohort and 52 in the external testing cohort. The CrossFormer algorithm was utilized to extract features from pre- and post- ...
Background: Although the mucin glycoprotein MUC16 is well established as an oncogenic biomarker in ovarian cancer, its mechanistic contribution to lung adenocarcinoma (LUAD) remains poorly defined. This study integrates multi-omics profiling and functional validation to uncover MUC16 as a novel determinant of detachment-induced survival in LUAD. Methods: Transcriptomic and clinical data from TCGA-LUAD and GEO cohorts were analyzed to identify differentially ...