Zhao Kankan, Wang Mengchuan, Kang Houlong, Wu Aiguo
Department of General Surgery, Zhujiang Hospital, The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
J Cell Biochem. 2020 Aug;121(8-9):3854-3860. doi: 10.1002/jcb.29549. Epub 2019 Nov 10.
This study aimed to identify prognostic long noncoding RNAs (lncRNAs) signature for predicting the prognosis of patients with rectal cancer. LncRNA-sequencing data and clinicopathological data of patients with rectal cancer were retrieved from The Cancer Genome Atlas database. Univariate and multivariate Cox proportional hazards regression analysis, the least absolute shrinkage, and selection operator analysis and the Kaplan-Meier curve method were employed to identify prognostic lncRNAs and construct multi-lncRNA signature. Finally, five lncRNAs (AC079789.1, AC106900.2, AL121987.1, AP004609.1, and LINC02163) were identified to construct a five-lncRNA signature. According to the five-lncRNA signature, patients with rectal cancer were divided into a high-risk group and low-risk group. Patients with rectal cancer had significantly poorer overall survival in the high-risk group than in the low-risk group. We used a time-dependent receiver operating characteristic curve to assess the power of the five-lncRNA signature by calculating the area under the curve (AUC). The AUCs for predicting 3-year survival and 5-year survival were 0.742 and 0.935, respectively, which indicated a good performance of the five-lncRNA signature. The five-lncRNA signature was independently associated with the prognosis of patients with rectal cancer through using univariate and multivariate Cox regression analysis. The biological function of the five lncRNAs was enriched in some cancer-related biological processes and pathways by performing functional enrichment analysis of their correlated protein-coding genes. In conclusion, we developed a five-lncRNA signature as a potential indicator for rectal cancer.
本研究旨在识别用于预测直肠癌患者预后的预后性长链非编码RNA(lncRNA)特征。从癌症基因组图谱数据库中获取直肠癌患者的lncRNA测序数据和临床病理数据。采用单因素和多因素Cox比例风险回归分析、最小绝对收缩和选择算子分析以及Kaplan-Meier曲线法来识别预后性lncRNAs并构建多lncRNA特征。最终,鉴定出5种lncRNAs(AC079789.1、AC106900.2、AL121987.1、AP004609.1和LINC02163)以构建一个五lncRNA特征。根据该五lncRNA特征,将直肠癌患者分为高危组和低危组。高危组直肠癌患者的总生存期明显低于低危组。我们使用时间依赖性受试者工作特征曲线,通过计算曲线下面积(AUC)来评估五lncRNA特征的预测能力。预测3年生存率和5年生存率的AUC分别为0.742和0.935,这表明五lncRNA特征具有良好的预测性能。通过单因素和多因素Cox回归分析,五lncRNA特征与直肠癌患者的预后独立相关。通过对其相关蛋白质编码基因进行功能富集分析,发现这5种lncRNAs的生物学功能在一些癌症相关的生物学过程和通路中得到富集。总之,我们开发了一种五lncRNA特征作为直肠癌的潜在指标。