Literature DB >> 31247467

Genome-wide analysis to identify a novel distant metastasis-related gene signature predicting survival in patients with gastric cancer.

Bang-Li Hu1, Ming-Zhi Xie2, Ke-Zhi Li2, Ji-Lin Li2, Yu-Chang Gui1, Jian-Wen Xu3.   

Abstract

This study designed to identify a potential novel distant metastasis-related gene (DMGs) signature that predicting prognosis in patients with gastric cancer. DMGs was screened by overlapping the differentially expressed genes between M0 and M1 stage, and between tumor and adjacent normal tissue of gastric cancer by analyzing The Cancer Genome Atlas (TCGA) dataset. There were 83 DMGs were identified, the integrative analysis revealed these DMGs were involved in several biological process and pathway. A six-DMGs prognostic signature was developed based on the risk score obtained from Cox analysis. Patients with low risk score presented significantly shorter survival time. This prognostic signature has a moderate predictive value for the overall survival in gastric cancer patients, with an area under curve of 0.604. The DMGs prognostic signature also significantly associated with the overall survival of gastric cancer patients, and showed a better performance for predicting prognosis than traditional clinical indicators. The joint effect of risk score with clinical features could remarkably increased the predictive value as compared with single variable. The results from 60 gastric cancer tissues verified the prognostic value of the six-DMGs prognostic signature. In conclusions, the present study identified a novel six-DMGs prognostic signature that could serve as a biomarker for the prognosis prediction of patients with gastric cancer.
Copyright © 2019 The Authors. Published by Elsevier Masson SAS.. All rights reserved.

Entities:  

Keywords:  Gastric cancer; Metastasis-Related gene; Prognostic signature; TCGA

Year:  2019        PMID: 31247467     DOI: 10.1016/j.biopha.2019.109159

Source DB:  PubMed          Journal:  Biomed Pharmacother        ISSN: 0753-3322            Impact factor:   6.529


  4 in total

1.  Long non-coding RNA CASC19 is associated with the progression and prognosis of advanced gastric cancer.

Authors:  Wen-Jie Wang; Chang-An Guo; Rui Li; Zi-Peng Xu; Jian-Ping Yu; Yan Ye; Jun Zhao; Jing Wang; Wen-An Wang; An Zhang; Hong-Tao Li; Chen Wang; Hong-Bin Liu
Journal:  Aging (Albany NY)       Date:  2019-08-15       Impact factor: 5.682

2.  Construction on of a Ferroptosis-Related lncRNA-Based Model to Improve the Prognostic Evaluation of Gastric Cancer Patients Based on Bioinformatics.

Authors:  Jiahui Pan; Xinyue Zhang; Xuedong Fang; Zhuoyuan Xin
Journal:  Front Genet       Date:  2021-08-23       Impact factor: 4.599

3.  Construction of a Nomogram Based on a Hypoxia-Related lncRNA Signature to Improve the Prediction of Gastric Cancer Prognosis.

Authors:  Qian Chen; Lang Hu; Kaihua Chen
Journal:  Front Genet       Date:  2020-10-20       Impact factor: 4.599

Review 4.  Histological and mutational profile of diffuse gastric cancer: current knowledge and future challenges.

Authors:  José Garcia-Pelaez; Rita Barbosa-Matos; Irene Gullo; Fátima Carneiro; Carla Oliveira
Journal:  Mol Oncol       Date:  2021-05-02       Impact factor: 6.603

  4 in total

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