Immunogenomic Landscape and Immune-Related Gene-Based Prognostic Signature in Asian Gastric Cancer

BackgroundAsians have the highest incidence of gastric cancer (GC), and the prognosis of Asian GC is poor. Furthermore, the therapeutics for Asian GC is limited because of genetic heterogeneity and screening difficulty at the early stage. This study aimed to develop an immune-related gene (IRG)-base...

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Autores principales: Chenchen Mao, Liangliang Ma, Yingpeng Huang, Xinxin Yang, He Huang, Wentao Cai, Andriamifehimanjaka Sitrakiniaina, Ruihong Gu, Xiangyang Xue, Xian Shen
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Publicado: Frontiers Media S.A. 2021
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Acceso en línea:https://doaj.org/article/64b2dd225a2f4a4388173d0f609f8ed8
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spelling oai:doaj.org-article:64b2dd225a2f4a4388173d0f609f8ed82021-11-05T08:30:03ZImmunogenomic Landscape and Immune-Related Gene-Based Prognostic Signature in Asian Gastric Cancer2234-943X10.3389/fonc.2021.750768https://doaj.org/article/64b2dd225a2f4a4388173d0f609f8ed82021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fonc.2021.750768/fullhttps://doaj.org/toc/2234-943XBackgroundAsians have the highest incidence of gastric cancer (GC), and the prognosis of Asian GC is poor. Furthermore, the therapeutics for Asian GC is limited because of genetic heterogeneity and screening difficulty at the early stage. This study aimed to develop an immune-related gene (IRG)-based prognostic signature and to explore prognosis-related regulatory mechanism and therapeutic target for Asian GC.MethodsTo elucidate the prognostic value of IRGs in Asian GC, a comprehensive analysis of IRG expression profiles and overall survival times in 364 Asian GC patients from the Asian Cancer Research Group (ACRG) and The Cancer Genome Atlas (TCGA) databases was performed, and a novel prognostic index was established. To further explore regulatory prognosis mechanisms and therapeutic targets, a tumor immunogenomic landscape analysis, including stromal and immune subcomponents, cell types, panimmune gene sets, and immunomodulatory genes, was performed.ResultOur analysis allowed the creation of an optimal risk assessment model, the Asian-specific IRG-based prognostic index (ASIRGPI), which showed a high accuracy in predicting survival in Asian GC. We also developed an ASIRGPI-based nomogram to predict the 3- and 5-year overall survival (OS) of Asian GC patients. The impact of the ASIRGPI on the worse prognosis of Asian GC was possibly related to the stromal component remodeling. Specifically, TGFβ gene sets were significantly associated with the ASIRGPI and worse prognosis. Immunomodulatory gene analysis further revealed that TGFβ1 and EDNRB may be the novel potential therapeutic targets for Asian GC.ConclusionsAs a tumor microenvironment-relevant gene set-based prognostic signature, the ASIRGPI model provides an effective approach for evaluating the prognosis of Asian GC and may even prolong OS by enabling the selection of individualized therapy with the novel targets.Chenchen MaoLiangliang MaYingpeng HuangXinxin YangHe HuangWentao CaiAndriamifehimanjaka SitrakiniainaRuihong GuXiangyang XueXian ShenFrontiers Media S.A.articlegastric cancerAsian cancerimmunomodulatory geneimmunotherapyprognostic gene signatureNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENFrontiers in Oncology, Vol 11 (2021)
institution DOAJ
collection DOAJ
language EN
topic gastric cancer
Asian cancer
immunomodulatory gene
immunotherapy
prognostic gene signature
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
spellingShingle gastric cancer
Asian cancer
immunomodulatory gene
immunotherapy
prognostic gene signature
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Chenchen Mao
Liangliang Ma
Yingpeng Huang
Xinxin Yang
He Huang
Wentao Cai
Andriamifehimanjaka Sitrakiniaina
Ruihong Gu
Xiangyang Xue
Xian Shen
Immunogenomic Landscape and Immune-Related Gene-Based Prognostic Signature in Asian Gastric Cancer
description BackgroundAsians have the highest incidence of gastric cancer (GC), and the prognosis of Asian GC is poor. Furthermore, the therapeutics for Asian GC is limited because of genetic heterogeneity and screening difficulty at the early stage. This study aimed to develop an immune-related gene (IRG)-based prognostic signature and to explore prognosis-related regulatory mechanism and therapeutic target for Asian GC.MethodsTo elucidate the prognostic value of IRGs in Asian GC, a comprehensive analysis of IRG expression profiles and overall survival times in 364 Asian GC patients from the Asian Cancer Research Group (ACRG) and The Cancer Genome Atlas (TCGA) databases was performed, and a novel prognostic index was established. To further explore regulatory prognosis mechanisms and therapeutic targets, a tumor immunogenomic landscape analysis, including stromal and immune subcomponents, cell types, panimmune gene sets, and immunomodulatory genes, was performed.ResultOur analysis allowed the creation of an optimal risk assessment model, the Asian-specific IRG-based prognostic index (ASIRGPI), which showed a high accuracy in predicting survival in Asian GC. We also developed an ASIRGPI-based nomogram to predict the 3- and 5-year overall survival (OS) of Asian GC patients. The impact of the ASIRGPI on the worse prognosis of Asian GC was possibly related to the stromal component remodeling. Specifically, TGFβ gene sets were significantly associated with the ASIRGPI and worse prognosis. Immunomodulatory gene analysis further revealed that TGFβ1 and EDNRB may be the novel potential therapeutic targets for Asian GC.ConclusionsAs a tumor microenvironment-relevant gene set-based prognostic signature, the ASIRGPI model provides an effective approach for evaluating the prognosis of Asian GC and may even prolong OS by enabling the selection of individualized therapy with the novel targets.
format article
author Chenchen Mao
Liangliang Ma
Yingpeng Huang
Xinxin Yang
He Huang
Wentao Cai
Andriamifehimanjaka Sitrakiniaina
Ruihong Gu
Xiangyang Xue
Xian Shen
author_facet Chenchen Mao
Liangliang Ma
Yingpeng Huang
Xinxin Yang
He Huang
Wentao Cai
Andriamifehimanjaka Sitrakiniaina
Ruihong Gu
Xiangyang Xue
Xian Shen
author_sort Chenchen Mao
title Immunogenomic Landscape and Immune-Related Gene-Based Prognostic Signature in Asian Gastric Cancer
title_short Immunogenomic Landscape and Immune-Related Gene-Based Prognostic Signature in Asian Gastric Cancer
title_full Immunogenomic Landscape and Immune-Related Gene-Based Prognostic Signature in Asian Gastric Cancer
title_fullStr Immunogenomic Landscape and Immune-Related Gene-Based Prognostic Signature in Asian Gastric Cancer
title_full_unstemmed Immunogenomic Landscape and Immune-Related Gene-Based Prognostic Signature in Asian Gastric Cancer
title_sort immunogenomic landscape and immune-related gene-based prognostic signature in asian gastric cancer
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/64b2dd225a2f4a4388173d0f609f8ed8
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