Identification and Validation of Immune- and Stemness-Related Prognostic Signature of Melanoma

Purpose: Our aim was to construct a signature that accurately predicted the prognostic and immune response of melanoma.Methods: First, the weighted co-expression network analysis (WGCNA) algorithm was used to identify the hub genes related to clinical phenotypes of melanoma in the cancer genome atla...

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Autores principales:	Yan Zhang, Jing Peng, Heng Du, Niannian Zhang, Xianfeng Fang
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	melanoma overall survival tumor immune microenvironment (TME) tumor stem cell prognostic signature Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/6e435ee5bd9546ceb2ca49dda2f756ee
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spelling	oai:doaj.org-article:6e435ee5bd9546ceb2ca49dda2f756ee2021-11-05T09:34:24ZIdentification and Validation of Immune- and Stemness-Related Prognostic Signature of Melanoma2296-634X10.3389/fcell.2021.755284https://doaj.org/article/6e435ee5bd9546ceb2ca49dda2f756ee2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fcell.2021.755284/fullhttps://doaj.org/toc/2296-634XPurpose: Our aim was to construct a signature that accurately predicted the prognostic and immune response of melanoma.Methods: First, the weighted co-expression network analysis (WGCNA) algorithm was used to identify the hub genes related to clinical phenotypes of melanoma in the cancer genome atlas (TCGA) database. Nest, the least absolute shrinkage and selection operator (LASSO) analysis was used to dimensionality reduction of these hub genes and constructed a prognostic signature to predict the prognosis and immunosuppressive response of melanoma.Result: Through in-depth analysis, we constructed a 5-mRNA prognostic signature and verified its prognostic value in internal (TCGA-SKCM, n = 452) and external independent datasets (GSE53118, n = 79). Based on this signature, the tumor immune microenvironment (TME) of melanoma was characterized, and the result was found that patients in the high-risk group had lower CD8 T cell infiltration and immune checkpoint expression (PD-1, PD-L1, CTLA4), as well as higher M0/M2 macrophage infiltration. Our results also found the risk score based on a 5-mRNA signature was significantly associated with tumor mutational burden (TMB) and tumor stem cell markers (CD20, CD38, ABCB5, CD44, etc.). Lastly, we built a nomogram for clinician prediction for the prognosis of patients with melanoma.Conclusion: Our findings indicated that the 5-mRNA signature has an important predictive value for the overall survival of melanoma. By analyzing the tumor immune microenvironment and tumor stem cell marker between different groups, a new method is provided for the stratified diagnosis and treatment of melanoma.Yan ZhangYan ZhangJing PengJing PengHeng DuHeng DuNiannian ZhangNiannian ZhangXianfeng FangXianfeng FangFrontiers Media S.A.articlemelanomaoverall survivaltumor immune microenvironment (TME)tumor stem cellprognostic signatureBiology (General)QH301-705.5ENFrontiers in Cell and Developmental Biology, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	melanoma overall survival tumor immune microenvironment (TME) tumor stem cell prognostic signature Biology (General) QH301-705.5
spellingShingle	melanoma overall survival tumor immune microenvironment (TME) tumor stem cell prognostic signature Biology (General) QH301-705.5 Yan Zhang Yan Zhang Jing Peng Jing Peng Heng Du Heng Du Niannian Zhang Niannian Zhang Xianfeng Fang Xianfeng Fang Identification and Validation of Immune- and Stemness-Related Prognostic Signature of Melanoma
description	Purpose: Our aim was to construct a signature that accurately predicted the prognostic and immune response of melanoma.Methods: First, the weighted co-expression network analysis (WGCNA) algorithm was used to identify the hub genes related to clinical phenotypes of melanoma in the cancer genome atlas (TCGA) database. Nest, the least absolute shrinkage and selection operator (LASSO) analysis was used to dimensionality reduction of these hub genes and constructed a prognostic signature to predict the prognosis and immunosuppressive response of melanoma.Result: Through in-depth analysis, we constructed a 5-mRNA prognostic signature and verified its prognostic value in internal (TCGA-SKCM, n = 452) and external independent datasets (GSE53118, n = 79). Based on this signature, the tumor immune microenvironment (TME) of melanoma was characterized, and the result was found that patients in the high-risk group had lower CD8 T cell infiltration and immune checkpoint expression (PD-1, PD-L1, CTLA4), as well as higher M0/M2 macrophage infiltration. Our results also found the risk score based on a 5-mRNA signature was significantly associated with tumor mutational burden (TMB) and tumor stem cell markers (CD20, CD38, ABCB5, CD44, etc.). Lastly, we built a nomogram for clinician prediction for the prognosis of patients with melanoma.Conclusion: Our findings indicated that the 5-mRNA signature has an important predictive value for the overall survival of melanoma. By analyzing the tumor immune microenvironment and tumor stem cell marker between different groups, a new method is provided for the stratified diagnosis and treatment of melanoma.
format	article
author	Yan Zhang Yan Zhang Jing Peng Jing Peng Heng Du Heng Du Niannian Zhang Niannian Zhang Xianfeng Fang Xianfeng Fang
author_facet	Yan Zhang Yan Zhang Jing Peng Jing Peng Heng Du Heng Du Niannian Zhang Niannian Zhang Xianfeng Fang Xianfeng Fang
author_sort	Yan Zhang
title	Identification and Validation of Immune- and Stemness-Related Prognostic Signature of Melanoma
title_short	Identification and Validation of Immune- and Stemness-Related Prognostic Signature of Melanoma
title_full	Identification and Validation of Immune- and Stemness-Related Prognostic Signature of Melanoma
title_fullStr	Identification and Validation of Immune- and Stemness-Related Prognostic Signature of Melanoma
title_full_unstemmed	Identification and Validation of Immune- and Stemness-Related Prognostic Signature of Melanoma
title_sort	identification and validation of immune- and stemness-related prognostic signature of melanoma
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/6e435ee5bd9546ceb2ca49dda2f756ee
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Identification and Validation of Immune- and Stemness-Related Prognostic Signature of Melanoma

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