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
相关论文
共 50 条
  • [21] A six-microRNA signature to predict outcomes of patients with gastric cancer
    Chen, Jian
    Hu, Bing
    Wang, Wei
    Qian, Xiao-jun
    Shan, Ben-jie
    He, Yi-fu
    FEBS OPEN BIO, 2019, 9 (03): : 538 - 547
  • [22] Prognostic impact and immunotherapeutic implications of NETosis-related gene signature in gastric cancer patients
    Xiang, Tian
    Wei, Zhenhua
    Ye, Chen
    Liu, Gao
    JOURNAL OF CELLULAR AND MOLECULAR MEDICINE, 2024, 28 (05)
  • [23] A prognostic signature of fatty acid metabolism-related genes for predicting survival of gastric cancer patients
    Zhao, Bochao
    Jiang, Wei
    Wang, Jingchao
    Sheng, Guannan
    Wang, Yiming
    Meng, Kewei
    Yang, Tao
    JOURNAL OF BIOCHEMICAL AND MOLECULAR TOXICOLOGY, 2024, 38 (04)
  • [24] Novel ferroptosis-related gene signature as a potential prognostic tool for gastric cancer
    Song, Ling
    Feng, Dou
    Tan, Jiajie
    Zhang, Hong
    EUROPEAN JOURNAL OF INFLAMMATION, 2022, 20
  • [25] Identification of a prognostic 5-Gene expression signature for gastric cancer
    Jun-Yi Hou
    Yu-Gang Wang
    Shi-Jie Ma
    Bing-Yin Yang
    Qian-Ping Li
    Journal of Cancer Research and Clinical Oncology, 2017, 143 : 619 - 629
  • [26] Systematic Characterization of the Expression and Prognostic Values of Formin-Like Gene Family in Gastric Cancer
    Nie, He
    Mei, Jie
    Zhang, Qinglin
    An, Fangmei
    Zhan, Qiang
    DNA AND CELL BIOLOGY, 2020, 39 (09) : 1664 - 1677
  • [27] Construction and validation of an eight-gene signature with great prognostic value in bladder cancer
    Yan, Xin
    Fu, Xun
    Guo, Zi-Xin
    Liu, Xiao-Ping
    Liu, Tong-Zu
    Li, Sheng
    JOURNAL OF CANCER, 2020, 11 (07): : 1768 - 1779
  • [28] An Autophagy-Associated Prognostic Gene Signature for Breast Cancer
    Cao, Lei
    Huang, Na
    Wang, Jue
    Lan, Zhi
    Wei, Jiale
    Li, Feng
    Li, Tianfang
    Feng, Zongqi
    Yu, Lan
    Zuo, Shuguang
    BIOCHEMICAL GENETICS, 2023, 61 (04) : 1282 - 1299
  • [29] Development of prognostic signature and nomogram for patients with breast cancer
    Su, Jiao
    Miao, Li-Feng
    Ye, Xiang-Hua
    Cui, Meng-Shen
    He, Xiao-Feng
    MEDICINE, 2019, 98 (11)
  • [30] An Autophagy-Associated Prognostic Gene Signature for Breast Cancer
    Lei Cao
    Na Huang
    Jue Wang
    Zhi Lan
    Jiale Wei
    Feng Li
    Tianfang Li
    Zongqi Feng
    Lan Yu
    Shuguang Zuo
    Biochemical Genetics, 2023, 61 : 1282 - 1299