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A four-gene signature predicts survival and anti-CTLA4 immunotherapeutic responses based on immune classification of melanoma

Cutaneous melanoma is the most malignant skin cancer. Biomarkers for stratifying patients at initial diagnosis and informing clinical decisions are highly sought after. Here we classified melanoma patients into three immune subtypes by single-sample gene-set enrichment analysis. We further identifie...

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Autores principales: Mei, Ying, Chen, Mei-Ju May, Liang, Han, Ma, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985195/
https://www.ncbi.nlm.nih.gov/pubmed/33753855
http://dx.doi.org/10.1038/s42003-021-01911-x
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author Mei, Ying
Chen, Mei-Ju May
Liang, Han
Ma, Li
author_facet Mei, Ying
Chen, Mei-Ju May
Liang, Han
Ma, Li
author_sort Mei, Ying
collection PubMed
description Cutaneous melanoma is the most malignant skin cancer. Biomarkers for stratifying patients at initial diagnosis and informing clinical decisions are highly sought after. Here we classified melanoma patients into three immune subtypes by single-sample gene-set enrichment analysis. We further identified a four-gene tumor immune-relevant (TIR) signature that was significantly associated with the overall survival of melanoma patients in The Cancer Genome Atlas cohort and in an independent validation cohort. Moreover, when applied to melanoma patients treated with the CTLA4 antibody, ipilimumab, the TIR signature could predict the response to ipilimumab and the survival. Notably, the predictive power of the TIR signature was higher than that of other biomarkers. The genes in this signature, SEL1L3, HAPLN3, BST2, and IFITM1, may be functionally involved in melanoma progression and immune response. These findings suggest that this four-gene signature has potential use in prognosis, risk assessment, and prediction of anti-CTLA4 response in melanoma patients.
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spelling pubmed-79851952021-04-12 A four-gene signature predicts survival and anti-CTLA4 immunotherapeutic responses based on immune classification of melanoma Mei, Ying Chen, Mei-Ju May Liang, Han Ma, Li Commun Biol Article Cutaneous melanoma is the most malignant skin cancer. Biomarkers for stratifying patients at initial diagnosis and informing clinical decisions are highly sought after. Here we classified melanoma patients into three immune subtypes by single-sample gene-set enrichment analysis. We further identified a four-gene tumor immune-relevant (TIR) signature that was significantly associated with the overall survival of melanoma patients in The Cancer Genome Atlas cohort and in an independent validation cohort. Moreover, when applied to melanoma patients treated with the CTLA4 antibody, ipilimumab, the TIR signature could predict the response to ipilimumab and the survival. Notably, the predictive power of the TIR signature was higher than that of other biomarkers. The genes in this signature, SEL1L3, HAPLN3, BST2, and IFITM1, may be functionally involved in melanoma progression and immune response. These findings suggest that this four-gene signature has potential use in prognosis, risk assessment, and prediction of anti-CTLA4 response in melanoma patients. Nature Publishing Group UK 2021-03-22 /pmc/articles/PMC7985195/ /pubmed/33753855 http://dx.doi.org/10.1038/s42003-021-01911-x Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Mei, Ying
Chen, Mei-Ju May
Liang, Han
Ma, Li
A four-gene signature predicts survival and anti-CTLA4 immunotherapeutic responses based on immune classification of melanoma
title A four-gene signature predicts survival and anti-CTLA4 immunotherapeutic responses based on immune classification of melanoma
title_full A four-gene signature predicts survival and anti-CTLA4 immunotherapeutic responses based on immune classification of melanoma
title_fullStr A four-gene signature predicts survival and anti-CTLA4 immunotherapeutic responses based on immune classification of melanoma
title_full_unstemmed A four-gene signature predicts survival and anti-CTLA4 immunotherapeutic responses based on immune classification of melanoma
title_short A four-gene signature predicts survival and anti-CTLA4 immunotherapeutic responses based on immune classification of melanoma
title_sort four-gene signature predicts survival and anti-ctla4 immunotherapeutic responses based on immune classification of melanoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985195/
https://www.ncbi.nlm.nih.gov/pubmed/33753855
http://dx.doi.org/10.1038/s42003-021-01911-x
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