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Prediction of clinical prognosis in cutaneous melanoma using an immune-related gene pair signature

Cutaneous melanoma (CM) is a malignant and aggressive skin cancer that is the leading cause of skin cancer-related deaths. Increasing evidence shows that immunity plays a vital role in the prognosis of CM. In this study, we developed an immune-related gene pair (IRGP) signature to predict the clinic...

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Autores principales: Yang, Yu, Long, Xuan, Li, Guiyun, Yu, Xiaohong, Liu, Yu, Li, Kun, Tian, Xiaobin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8806557/
https://www.ncbi.nlm.nih.gov/pubmed/34047683
http://dx.doi.org/10.1080/21655979.2021.1924556
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author Yang, Yu
Long, Xuan
Li, Guiyun
Yu, Xiaohong
Liu, Yu
Li, Kun
Tian, Xiaobin
author_facet Yang, Yu
Long, Xuan
Li, Guiyun
Yu, Xiaohong
Liu, Yu
Li, Kun
Tian, Xiaobin
author_sort Yang, Yu
collection PubMed
description Cutaneous melanoma (CM) is a malignant and aggressive skin cancer that is the leading cause of skin cancer-related deaths. Increasing evidence shows that immunity plays a vital role in the prognosis of CM. In this study, we developed an immune-related gene pair (IRGP) signature to predict the clinical prognosis of patients with CM. Immune-related genes from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases were selected to construct the IRGPs, and patients with CM in these two cohorts were assigned to low- and high-risk subgroups. Moreover, we investigated the IRGPs and their individualized prognostic signatures using Kaplan-Meier survival analysis, univariate and multivariate Cox analyses, and analysis of immune cell infiltration in CM. A 41-IRGP signature was constructed from 2498 immune genes that could significantly predict the overall survival of patients with CM in both the TCGA and GEO cohorts. Immune infiltration analysis indicated that several immune cells, especially M1 macrophages and activated CD4 T cells, were significantly associated with the prognostic effect of the IRGP signature in patients with CM. Overall, the IRGP signature constructed in this study was useful for determining the prognosis of patients with CM and for providing further understanding of CM immunotherapy.
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spelling pubmed-88065572022-02-02 Prediction of clinical prognosis in cutaneous melanoma using an immune-related gene pair signature Yang, Yu Long, Xuan Li, Guiyun Yu, Xiaohong Liu, Yu Li, Kun Tian, Xiaobin Bioengineered Research Paper Cutaneous melanoma (CM) is a malignant and aggressive skin cancer that is the leading cause of skin cancer-related deaths. Increasing evidence shows that immunity plays a vital role in the prognosis of CM. In this study, we developed an immune-related gene pair (IRGP) signature to predict the clinical prognosis of patients with CM. Immune-related genes from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases were selected to construct the IRGPs, and patients with CM in these two cohorts were assigned to low- and high-risk subgroups. Moreover, we investigated the IRGPs and their individualized prognostic signatures using Kaplan-Meier survival analysis, univariate and multivariate Cox analyses, and analysis of immune cell infiltration in CM. A 41-IRGP signature was constructed from 2498 immune genes that could significantly predict the overall survival of patients with CM in both the TCGA and GEO cohorts. Immune infiltration analysis indicated that several immune cells, especially M1 macrophages and activated CD4 T cells, were significantly associated with the prognostic effect of the IRGP signature in patients with CM. Overall, the IRGP signature constructed in this study was useful for determining the prognosis of patients with CM and for providing further understanding of CM immunotherapy. Taylor & Francis 2021-05-28 /pmc/articles/PMC8806557/ /pubmed/34047683 http://dx.doi.org/10.1080/21655979.2021.1924556 Text en © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Yang, Yu
Long, Xuan
Li, Guiyun
Yu, Xiaohong
Liu, Yu
Li, Kun
Tian, Xiaobin
Prediction of clinical prognosis in cutaneous melanoma using an immune-related gene pair signature
title Prediction of clinical prognosis in cutaneous melanoma using an immune-related gene pair signature
title_full Prediction of clinical prognosis in cutaneous melanoma using an immune-related gene pair signature
title_fullStr Prediction of clinical prognosis in cutaneous melanoma using an immune-related gene pair signature
title_full_unstemmed Prediction of clinical prognosis in cutaneous melanoma using an immune-related gene pair signature
title_short Prediction of clinical prognosis in cutaneous melanoma using an immune-related gene pair signature
title_sort prediction of clinical prognosis in cutaneous melanoma using an immune-related gene pair signature
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8806557/
https://www.ncbi.nlm.nih.gov/pubmed/34047683
http://dx.doi.org/10.1080/21655979.2021.1924556
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