Esophageal cancer lymph node metastasis-associated gene signature optimizes overall survival prediction of esophageal cancer
Esophageal cancer lymph node metastasis-associated gene signature optimizes overall survival prediction of esophageal cancer
复制标题
食管癌淋巴结转移相关基因特征优化食管癌总体生存预测
DOI：
10.1002/jcb.27416
复制
发表时间：
2019-01-01
影响因子：
4
通讯作者：
Hu, Changyuan
中科院分区：
文献类型：
--
作者：
Cai, Weiyang;Li, Yanyan;Hu, Changyuan
食管癌具有早期区域淋巴结转移的特点，大多数转移患者预后差。然而，目前的诊断技术不能精确区分EC LNM，预后分层和个体生存估计。为了鉴定伴有LNM的EC患者的潜在分子生物标志物，我们通过limma package R在癌症基因组图谱数据库中探索77例非LNM病例和88例LNM病例之间的差异表达基因。在此基础上，通过单因素和多因素的考克斯回归分析，建立了8-信使RNA（mRNA）的预后信号模型，该模型能更准确地预测预后。风险评分的曲线下面积显著高于其他临床信息，表明基于8-mRNA的风险评分是预后的良好指标。再结合其他个体危险因素，如年龄、性别、T分期、M分期等，可精确计算个体1、3、5年生存率。基因集富集分析、基因本体论和京都基因和基因组百科全书分析表明，风险模型主要与癌症相关途径相关，如细胞分裂、细胞减数分裂和细胞周期调控。总之，我们开发的基于8-mRNA的风险评分模型成功地预测了EC的生存。它独立于临床信息，并且比其他临床信息更好地预测预后。
Esophageal cancer (EC) is characteristic of early regional lymph node metastasis (LNM) and most patients with metastasis have a poor prognosis. However, the current diagnostic techniques do not enable precise differentiation of EC LNM, prognostic stratification, and individual survival estimation. To identify potential molecular biomarkers for EC patients with LNM, we explored differently expressed genes in The Cancer Genome Atlas database between 77 non-LNM cases and 88 LNM cases by limma package R. Then, according to univariate and multivariate Cox regression analyses, we constructed an 8-messenger RNA (mRNA) prognostic signature model, which could predict the outcome in a more exact way. The area under the curve of the risk score is significantly higher than other clinical information, indicating that the 8-mRNA-based risk score is a good indicator for prognosis. Then, combined with other individual risk factors, such as age, sex, T stage, M stage, etc, we could precisely calculate the individual 1-, 3-, and 5-year survival rates. The Gene Set Enrichment Analysis, Gene Ontology, and Kyoto Encyclopedia of Genes and Genomes analysis indicate that the risk model is mainly associated with cancer-related pathways, such as cell division, cellular meiosis, and cell cycle regulation. In summary, the 8-mRNA-based risk score model that we developed successfully predicts the survival of EC. It is independent of clinical information and performing better than other clinical information for prognosis.