一种新型胃癌预后评估系统。

A novel assessing system for predicting the prognosis of gastric cancer.

机构信息

Department of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, PR China.

Department of Medicine Ultrasonics, Nanfang Hospital, Southern Medical University, Guangzhou, PR China.

出版信息

Epigenomics. 2019 Aug;11(11):1251-1266. doi: 10.2217/epi-2019-0151. Epub 2019 Jul 31.

DOI:10.2217/epi-2019-0151

PMID:31364879

Abstract

To develop novel diagnostic tools that can predict the prognosis of gastric cancer. Using RNA expression data from The Cancer Genome Atlas and Gene Expression Omnibus, we established protein-coding RNAs-noncoding RNAs-tumor microenvironment type (PNM) scores, which contain signatures of tumor protein coding genes (P), tumor noncoding genes (N) and immune/stroma cells in tumor microenvironment (M) to predict the prognosis of gastric cancer. Based on PNM scores, gastric cancer patients were divided into three subgroups and Kaplan-Meier survival curves revealed significant differences among the subgroups (p < 0.001). Our study showed that the PNM scores could be used as a robust predicting tool for the prognosis of gastric cancer.

摘要

为了开发能够预测胃癌预后的新型诊断工具。利用来自癌症基因组图谱和基因表达综合数据库的 RNA 表达数据，我们建立了包含肿瘤蛋白编码基因（P）、肿瘤非编码基因（N）和肿瘤微环境中免疫/基质细胞特征的蛋白编码 RNA-非编码 RNA-肿瘤微环境类型（PNM）评分，以预测胃癌的预后。基于 PNM 评分，将胃癌患者分为三组，Kaplan-Meier 生存曲线显示组间差异具有统计学意义（p<0.001）。本研究表明，PNM 评分可作为预测胃癌预后的有效工具。