Development and validation of a diagnostic machine learning model for gastric cancer risk based on double-negative T cell-related features

The study established a novel diagnostic model for GC based on DN T cell signature genes, which shows robust predictive performance and significant clinical benefit. The findings underscore the important role of DN T cells and model genes in GC, providing new insights into early diagnosis and potential therapeutic targets for effective management of GC.