Cui Junpeng, Guo Fangyu, Yu Yifan, Ma Zihuan, Hong Yuting, Su Junyan, Ge Yang
Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Front Oncol. 2022 Nov 17;12:1009698. doi: 10.3389/fonc.2022.1009698. eCollection 2022.
Colorectal cancer (CRC) is one of the most prevalent cancers globally with a high mortality rate. Predicting prognosis using disease progression and cancer pathologic stage is insufficient, and a prognostic factor that can accurately evaluate patient prognosis needs to be developed. In this study, we aimed to infer a prognostic gene signature to identify a functional signature associated with the prognosis of CRC patients.
First, we used univariate Cox regression, least absolute shrinkage and selection operator (lasso) regression, and multivariate Cox regression analyses to screen genes significantly associated with CRC patient prognosis, from colorectal cancer RNA sequencing data in The Cancer Genome Atlas (TCGA) database. We then calculated the risk score (RS) for each patient based on the expression of the nine candidate genes and developed a prognostic signature.
Based on the optimal cut-off on the receiver operating characteristic (ROC) curve, patients were separated into high- and low-risk groups, and the difference in overall survival between the two groups was examined. Patients in the low-risk group had a better overall survival rate than those in the high-risk group. The results were validated using the GSE72970, GSE39582, and GSE17536 Gene Expression Omnibus (GEO) datasets, and the same conclusions were reached. ROC curve test of the RS signature also indicated that it had excellent accuracy. The RS signature was then compared with traditional clinical factors as a prognostic indicator, and we discovered that the RS signature had superior predictive ability.
The RS signature developed in this study has excellent predictive power for the prognosis of patients with CRC and broad applicability as a prognostic indicator for patients.
结直肠癌（CRC）是全球最常见的癌症之一，死亡率很高。仅使用疾病进展和癌症病理分期来预测预后是不够的，需要开发一种能够准确评估患者预后的预后因素。在本研究中，我们旨在推断一种预后基因特征，以识别与CRC患者预后相关的功能特征。
首先，我们使用单变量Cox回归、最小绝对收缩和选择算子（lasso）回归以及多变量Cox回归分析，从癌症基因组图谱（TCGA）数据库中的结直肠癌RNA测序数据中筛选与CRC患者预后显著相关的基因。然后，我们根据九个候选基因的表达计算每个患者的风险评分（RS），并开发了一种预后特征。
根据受试者工作特征（ROC）曲线的最佳截断值，将患者分为高风险组和低风险组，并检查两组之间的总生存率差异。低风险组患者的总生存率高于高风险组。使用GSE72970、GSE39582和GSE17536基因表达综合数据库（GEO）数据集对结果进行了验证，得出了相同的结论。RS特征的ROC曲线检验也表明它具有优异的准确性。然后将RS特征与传统临床因素作为预后指标进行比较，我们发现RS特征具有更好的预测能力。
本研究中开发的RS特征对CRC患者的预后具有优异的预测能力，作为患者的预后指标具有广泛的适用性。
