摘要

       自噬是一种主要的溶酶体降解过程，与结直肠癌 (CRC) 的发病机制有关。然而，所有自噬相关基因（ARGs）在结直肠癌预后中的作用仍不清楚。进行单变量 Cox 分析以选择与 TCGA 数据库的 CRC 队列的总生存期 (OS) 相关的 ARG。多变量 Cox 分析用于开发 ARGs 表达特征，其风险评分将 CRC 患者分为两组。使用 Kaplan-Meier 曲线和对数秩检验估计上述两组之间的 OS 时间。为了评估该表达特征和其他临床病理参数对 CRC 预后的预测性能，计算了曲线下面积 (AUC)。 20 个与 OS 相关的 ARG 中有 9 个最终被纳入此 ARG 表达特征中，其风险评分将 CRC 患者分为高风险或低风险组。低危组患者的OS时间高于高危组，差异有统计学意义（P < 0.001）。该风险评分的 AUC 高于其他临床病理参数，包括 TNM 分期。本研究提出了一种 ARGs 表达特征，其在预测 CRC 预后方面优于其他临床病理参数。

       Autophagy, a major lysosomal degradation process, has been implicated in the pathogenesis of colorectal cancer (CRC). However, it still remains unclear what role all the autophagy-related genes (ARGs) play in CRC prognosis. A univariate Cox analysis was conducted to select ARGs related with overall survival (OS) for CRC cohort of the TCGA database. A multivariate Cox analysis was used to develop an ARGs expression signature, whose risk score stratified CRC patients into two groups. The OS time between the above two groups was estimated using the Kaplan–Meier curve and log-rank test. In order to evaluate the predictive performance of this expression signature and other clinicopathological parameters for CRC prognosis, the area under the curve (AUC) was calculated. Nine out of 20 OS-related ARGs were finally incorporated into this ARGs expression signature, whose risk score stratified CRC patients into either high-risk or low-risk group. The OS time of patients in low-risk group was higher than that in high-risk group and the difference was statistically significant (P < 0.001). The AUC for this risk score was higher than other clinicopathological parameters, including TNM stage. This study presents an ARGs expression signature, which outperforms other clinicopathological parameters in predicting CRC prognosis.

https://www.tandfonline.com/doi/full/10.1080/26895293.2021.1872716