Development of an AI Model to Predict Tumor Immune Responsiveness in Colorectal Cancer Using Organoid–Immune Co-Culture platforms

This study aimed to functionally assess tumor immune responsiveness in colorectal cancer using a co-culture platform combining patient-derived organoids (PDOs) with autologous tumor-reactive T cells. The following samples were classified as immune-responsive based on significant T cell–mediated cytotoxicity and IFN-γ production in co-culture assays. RNA sequencing was performed to identify transcriptional signatures associated with immune activation. These immune-responsive PDOs served as the discovery cohort for biomarker identification, enabling the integration of functional immunogenicity data with transcriptomic profiling to develop explainable AI models for predicting immunotherapy response in colorectal cancer.