前列腺癌
抗辐射性
医学
免疫系统
接收机工作特性
肿瘤科
癌症
生化复发
比例危险模型
队列
抗辐射性
放射治疗
内科学
肿瘤微环境
癌症研究
辐射
免疫学
物理
量子力学
前列腺切除术
作者
Zhi‐Bin Ke,Qi You,Jia‐Yin Chen,Jiang‐Bo Sun,Yu‐Ting Xue,Rui-Bin Zhuang,Qing‐Shui Zheng,Ye‐Hui Chen,Yong Wei,Xiong‐Lin Sun,Xue‐Yi Xue,Ning Xu
标识
DOI:10.1016/j.compbiomed.2022.105711
摘要
To establish and verify a novel radiation resistance related index for predicting biochemical recurrence and tumor immune environment in prostate cancer (PCa) patients. The transcriptome information of PCa were obtained from GEO and TCGA portal. We identified radiation resistance related genes (RRGs) between radioresistant and radiosensitive PCa cells. We conducted multivariate Cox analysis to construct a novel radiation resistance related index for predicting biochemical recurrence (BCR)-free survival (BCRFS). Internal and external validations were conducted. Preliminary experimental verifications were performed. We identified 194 differentially expressed RRGs and three radiation resistance related molecular clusters for PCa. Moreover, we established a novel radiation resistance related index and succeeded in conducting internal and external validations. High-risk populations meant significantly worse BCRFS in training, testing and validating cohort. The area under receiver operating characteristic curve were 0.809, 0.698, and 0.712 in training, testing, and validating cohort. The immune microenvironment was significantly different between high and low-risk score patients. Preliminary experiment identified and validated three potential biomarkers related to radiation resistance (ZNF695, TM4SF19, CCDC3) of PCa. This study successfully established and verified a novel radiation resistance related index, which had an excellent performance in predicting BCR and tumor immune microenvironment in patients with PCa.
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