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An immune-related gene signature predicts prognosis of gastric cancer

BACKGROUND: Although the outcome of patients with gastric cancer (GC) has improved significantly with the recent implementation of annual screening programs. Reliable prognostic biomarkers are still needed due to the disease heterogeneity. Increasing pieces of evidence revealed an association betwee...

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Autores principales: Jiang, Bitao, Sun, Qingsen, Tong, Yao, Wang, Yuzhuo, Ma, Haifen, Xia, Xuefei, Zhou, Yu, Zhang, Xingguo, Gao, Feng, Shu, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6635287/
https://www.ncbi.nlm.nih.gov/pubmed/31277152
http://dx.doi.org/10.1097/MD.0000000000016273
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author Jiang, Bitao
Sun, Qingsen
Tong, Yao
Wang, Yuzhuo
Ma, Haifen
Xia, Xuefei
Zhou, Yu
Zhang, Xingguo
Gao, Feng
Shu, Peng
author_facet Jiang, Bitao
Sun, Qingsen
Tong, Yao
Wang, Yuzhuo
Ma, Haifen
Xia, Xuefei
Zhou, Yu
Zhang, Xingguo
Gao, Feng
Shu, Peng
author_sort Jiang, Bitao
collection PubMed
description BACKGROUND: Although the outcome of patients with gastric cancer (GC) has improved significantly with the recent implementation of annual screening programs. Reliable prognostic biomarkers are still needed due to the disease heterogeneity. Increasing pieces of evidence revealed an association between immune signature and GC prognosis. Thus, we aim to build an immune-related signature that can estimate prognosis for GC. METHODS: For identification of a prognostic immune-related gene signature (IRGS), gene expression profiles and clinical information of patients with GC were collected from 3 public cohorts, divided into training cohort (n = 300) and 2 independent validation cohorts (n = 277 and 433 respectively). RESULTS: Within 1811 immune genes, a prognostic IRGS consisting of 16 unique genes was constructed which was significantly associated with survival (hazard ratio [HR], 3.9 [2.78–5.47]; P < 1.0 × 10(−22)). In the validation cohorts, the IRGS significantly stratified patients into high- vs low-risk groups in terms of prognosis across (HR, 1.84 [1.47–2.30]; P = 6.59 × 10(−8)) and within subpopulations with stage I&II disease (HR, 1.96 [1.34–2.89]; P = 4.73 × 10(−4)) and was prognostic in univariate and multivariate analyses. Several biological processes, including TGF-β and EMT signaling pathways, were enriched in the high-risk group. T cells CD4 memory resting and Macrophage M2 were significantly higher in the high-risk risk group compared with the low-risk group. CONCLUSION: In short, we developed a prognostic IRGS for estimating prognosis in GC, including stage I&II disease, providing new insights into the identification of patients with GC with a high risk of mortality.
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spelling pubmed-66352872019-08-01 An immune-related gene signature predicts prognosis of gastric cancer Jiang, Bitao Sun, Qingsen Tong, Yao Wang, Yuzhuo Ma, Haifen Xia, Xuefei Zhou, Yu Zhang, Xingguo Gao, Feng Shu, Peng Medicine (Baltimore) Research Article BACKGROUND: Although the outcome of patients with gastric cancer (GC) has improved significantly with the recent implementation of annual screening programs. Reliable prognostic biomarkers are still needed due to the disease heterogeneity. Increasing pieces of evidence revealed an association between immune signature and GC prognosis. Thus, we aim to build an immune-related signature that can estimate prognosis for GC. METHODS: For identification of a prognostic immune-related gene signature (IRGS), gene expression profiles and clinical information of patients with GC were collected from 3 public cohorts, divided into training cohort (n = 300) and 2 independent validation cohorts (n = 277 and 433 respectively). RESULTS: Within 1811 immune genes, a prognostic IRGS consisting of 16 unique genes was constructed which was significantly associated with survival (hazard ratio [HR], 3.9 [2.78–5.47]; P < 1.0 × 10(−22)). In the validation cohorts, the IRGS significantly stratified patients into high- vs low-risk groups in terms of prognosis across (HR, 1.84 [1.47–2.30]; P = 6.59 × 10(−8)) and within subpopulations with stage I&II disease (HR, 1.96 [1.34–2.89]; P = 4.73 × 10(−4)) and was prognostic in univariate and multivariate analyses. Several biological processes, including TGF-β and EMT signaling pathways, were enriched in the high-risk group. T cells CD4 memory resting and Macrophage M2 were significantly higher in the high-risk risk group compared with the low-risk group. CONCLUSION: In short, we developed a prognostic IRGS for estimating prognosis in GC, including stage I&II disease, providing new insights into the identification of patients with GC with a high risk of mortality. Wolters Kluwer Health 2019-07-05 /pmc/articles/PMC6635287/ /pubmed/31277152 http://dx.doi.org/10.1097/MD.0000000000016273 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0
spellingShingle Research Article
Jiang, Bitao
Sun, Qingsen
Tong, Yao
Wang, Yuzhuo
Ma, Haifen
Xia, Xuefei
Zhou, Yu
Zhang, Xingguo
Gao, Feng
Shu, Peng
An immune-related gene signature predicts prognosis of gastric cancer
title An immune-related gene signature predicts prognosis of gastric cancer
title_full An immune-related gene signature predicts prognosis of gastric cancer
title_fullStr An immune-related gene signature predicts prognosis of gastric cancer
title_full_unstemmed An immune-related gene signature predicts prognosis of gastric cancer
title_short An immune-related gene signature predicts prognosis of gastric cancer
title_sort immune-related gene signature predicts prognosis of gastric cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6635287/
https://www.ncbi.nlm.nih.gov/pubmed/31277152
http://dx.doi.org/10.1097/MD.0000000000016273
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