Prognosis of cholangiocarcinoma patients based on multiple patterns of programmed cell death, integrated analysis of the immune microenvironment and drug sensitivity

基于多种程序性细胞死亡模式、免疫微环境综合分析和药物敏感性的胆管癌患者预后评估

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Abstract

BACKGROUND: Cholangiocarcinoma (CHOL) is a highly malignant bile duct cancer with a poor prognosis and rising incidence. Programmed cell death (PCD) plays a crucial role in cancer biology, influencing tumor immunity and treatment response. This study analyzes the impact of multiple PCD patterns on CHOL prognosis, tumor microenvironment (TME) and drug sensitivity. METHODS: RNA sequencing data from TCGA-CHOL and GSE107943 were analyzed to identify PCD-related genes. A PCD-associated Risk Score was constructed using Cox and Lasso regression analyses. The score's prognostic value was assessed through survival analysis, ROC curves, and functional annotation. RESULTS: We identified 111 differentially expressed PCD-related genes, including NCK2, BNIP3 and BIK, that constituted PCD-associated Risk Score and correlated with prognosis of CHOL. Functional analyses indicated enrichment in immune-related processes. High-risk patients showed increased immune cell infiltration and higher immune checkpoint expression, suggesting a benefit from immunotherapy. They also demonstrated greater sensitivity to several chemotherapeutic and targeted agents. CONCLUSION: PCD-associated Risk Score is a robust prognostic tool for CHOL, influencing TME modulation and therapeutic response, and may guide personalized treatment strategies.

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