Systematic Review of Prognostic Gene Signature in Gastric Cancer Patients

被引:12
|
作者
Xie, Longxiang [1 ]
Cai, Linghao [1 ]
Wang, Fei [1 ]
Zhang, Lu [1 ]
Wang, Qiang [1 ]
Guo, Xiangqian [1 ]
机构
[1] Henan Univ, Sch Basic Med Sci,Sch Software, Dept Prevent Med,Inst Biomed Informat,Bioinformat, Cell Signal Transduct Lab,Henan Prov Engn Ctr Tum, Kaifeng, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
gene signature; gastric cancer; overall survival; prognostic biomarker; TCGA; GEO; GROWTH-FACTOR RECEPTOR; EXPRESSION PROFILE; RISK SCORE; IDENTIFICATION; SURVIVAL; STATISTICS; VALIDATION; PREDICTION;
D O I
10.3389/fbioe.2020.00805
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Gastric cancer (GC) is the second leading cause of cancer mortality and remains the fourth common cancer worldwide. The effective and feasible methods for predicting the possible outcomes for GC patients are still lacking. While genetic profiling might be suitable in some way, the application of gene expression signatures has been show to be a robust tool. Here, by performing a comprehensive search in PubMed, we provided an up-to-date summary of 39 prognostic gene signatures for GC patients, and described the processing procedure of the selection, calculation and construction of gene signature. We also reviewed current web tools including PROGgene and SurvExpress that can be used to analyze the prognostic value of multiple genes for GC. This review will aid in comprehensive understanding of the current prognostic gene signatures to accurately predict the outcome of GC patients, and may guide the future clinical management when the reliability of these signatures is validated in clinics.
引用
收藏
页数:12
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