Identification of a Six-Gene Prognostic Signature Characterized by Tumor Microenvironment Immune Profiles in Clear Cell Renal Cell Carcinoma

Clear cell renal cell carcinoma (ccRCC) is widely acknowledged to be extremely sensitive to immunotherapy, emphasizing the tremendous impacts on which the tumor microenvironment (TME) has shown. However, the molecular subgroups characterized by the TME features scarcely serve as the risk stratificat...

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Autores principales:	Lu Zhang, Jianlong Li, Mengzhao Zhang, Lu Wang, Tao Yang, Qiuya Shao, Xiao Liang, Minghai Ma, Nan Zhang, Minxuan Jing, Rundong Song, Jinhai Fan
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	gene signature tumor microenvironment tumor-infiltrating immune cells immunotherapy clear cell renal cell carcinoma Genetics QH426-470
Acceso en línea:	https://doaj.org/article/fca34c9ea4894a53b07da0f527e1a895
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spelling	oai:doaj.org-article:fca34c9ea4894a53b07da0f527e1a8952021-11-18T08:14:00ZIdentification of a Six-Gene Prognostic Signature Characterized by Tumor Microenvironment Immune Profiles in Clear Cell Renal Cell Carcinoma1664-802110.3389/fgene.2021.722421https://doaj.org/article/fca34c9ea4894a53b07da0f527e1a8952021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fgene.2021.722421/fullhttps://doaj.org/toc/1664-8021Clear cell renal cell carcinoma (ccRCC) is widely acknowledged to be extremely sensitive to immunotherapy, emphasizing the tremendous impacts on which the tumor microenvironment (TME) has shown. However, the molecular subgroups characterized by the TME features scarcely serve as the risk stratification guides in clinical practice for survival outcomes and immunotherapy response prediction. This study generated fresh insights into a novel TME-related prognostic signature derived from The Cancer Genome Atlas database using integrated bioinformatics analyses. Subsequently, Kaplan–Meier survival analysis, receiver operating characteristic analysis, and univariate and multivariate Cox regression analysis were performed to evaluate and validate the efficacy and the accuracy of the signature in ccRCC prognosis. Furthermore, we discovered that the risk score presented an increased likelihood of correlation with miscellaneous clinicopathological characteristics, natural killer cell-mediated cytotoxicity, immune cell infiltration levels, and immune checkpoint expression. These findings highlighted the notion that the six-gene signature characterized by the TME features may have implications on the risk stratification for personalized and precise immunotherapeutic management.Lu ZhangJianlong LiMengzhao ZhangLu WangTao YangQiuya ShaoXiao LiangMinghai MaNan ZhangMinxuan JingRundong SongJinhai FanJinhai FanFrontiers Media S.A.articlegene signaturetumor microenvironmenttumor-infiltrating immune cellsimmunotherapyclear cell renal cell carcinomaGeneticsQH426-470ENFrontiers in Genetics, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	gene signature tumor microenvironment tumor-infiltrating immune cells immunotherapy clear cell renal cell carcinoma Genetics QH426-470
spellingShingle	gene signature tumor microenvironment tumor-infiltrating immune cells immunotherapy clear cell renal cell carcinoma Genetics QH426-470 Lu Zhang Jianlong Li Mengzhao Zhang Lu Wang Tao Yang Qiuya Shao Xiao Liang Minghai Ma Nan Zhang Minxuan Jing Rundong Song Jinhai Fan Jinhai Fan Identification of a Six-Gene Prognostic Signature Characterized by Tumor Microenvironment Immune Profiles in Clear Cell Renal Cell Carcinoma
description	Clear cell renal cell carcinoma (ccRCC) is widely acknowledged to be extremely sensitive to immunotherapy, emphasizing the tremendous impacts on which the tumor microenvironment (TME) has shown. However, the molecular subgroups characterized by the TME features scarcely serve as the risk stratification guides in clinical practice for survival outcomes and immunotherapy response prediction. This study generated fresh insights into a novel TME-related prognostic signature derived from The Cancer Genome Atlas database using integrated bioinformatics analyses. Subsequently, Kaplan–Meier survival analysis, receiver operating characteristic analysis, and univariate and multivariate Cox regression analysis were performed to evaluate and validate the efficacy and the accuracy of the signature in ccRCC prognosis. Furthermore, we discovered that the risk score presented an increased likelihood of correlation with miscellaneous clinicopathological characteristics, natural killer cell-mediated cytotoxicity, immune cell infiltration levels, and immune checkpoint expression. These findings highlighted the notion that the six-gene signature characterized by the TME features may have implications on the risk stratification for personalized and precise immunotherapeutic management.
format	article
author	Lu Zhang Jianlong Li Mengzhao Zhang Lu Wang Tao Yang Qiuya Shao Xiao Liang Minghai Ma Nan Zhang Minxuan Jing Rundong Song Jinhai Fan Jinhai Fan
author_facet	Lu Zhang Jianlong Li Mengzhao Zhang Lu Wang Tao Yang Qiuya Shao Xiao Liang Minghai Ma Nan Zhang Minxuan Jing Rundong Song Jinhai Fan Jinhai Fan
author_sort	Lu Zhang
title	Identification of a Six-Gene Prognostic Signature Characterized by Tumor Microenvironment Immune Profiles in Clear Cell Renal Cell Carcinoma
title_short	Identification of a Six-Gene Prognostic Signature Characterized by Tumor Microenvironment Immune Profiles in Clear Cell Renal Cell Carcinoma
title_full	Identification of a Six-Gene Prognostic Signature Characterized by Tumor Microenvironment Immune Profiles in Clear Cell Renal Cell Carcinoma
title_fullStr	Identification of a Six-Gene Prognostic Signature Characterized by Tumor Microenvironment Immune Profiles in Clear Cell Renal Cell Carcinoma
title_full_unstemmed	Identification of a Six-Gene Prognostic Signature Characterized by Tumor Microenvironment Immune Profiles in Clear Cell Renal Cell Carcinoma
title_sort	identification of a six-gene prognostic signature characterized by tumor microenvironment immune profiles in clear cell renal cell carcinoma
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/fca34c9ea4894a53b07da0f527e1a895
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Identification of a Six-Gene Prognostic Signature Characterized by Tumor Microenvironment Immune Profiles in Clear Cell Renal Cell Carcinoma

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