T-cell receptor repertoire sequencing associated with colorectal cancer

T-cell receptor (TCR) repertoires provide insights into tumor immunology, yet their variations across digestive system cancers are not well understood. This study characterizes TCR differences between colorectal cancer (CRC) and gastric cancer (GC) and develops machine learning models for tumor classification, metastatic status, and disease staging. This comprehensive analysis provides novel insights into TCR repertoire variations in digestive system tumors and introduces sophisticated machine learning models for disease diagnostics, and highlight the potential of immune repertoire features as powerful diagnostic tools for understanding cancer progression and potentially improving clinical decision-making.