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Identification of an Immune-Related Prognostic Signature Associated With Immune Infiltration in Melanoma
Melanoma is the leading cause of cancer-related death among skin tumors, with an increasing incidence worldwide. Few studies have effectively investigated the significance of an immune-related gene (IRG) signature for melanoma prognosis. Here, we constructed an IRGs prognostic signature using bioinf...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7484056/ https://www.ncbi.nlm.nih.gov/pubmed/33005180 http://dx.doi.org/10.3389/fgene.2020.01002 |
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author | Liu, Nian Liu, Zijian Liu, Xinxin Duan, Xiaoru Huang, Yuqiong Jin, Zilin Niu, Yi Zhang, Liling Chen, Hongxiang |
author_facet | Liu, Nian Liu, Zijian Liu, Xinxin Duan, Xiaoru Huang, Yuqiong Jin, Zilin Niu, Yi Zhang, Liling Chen, Hongxiang |
author_sort | Liu, Nian |
collection | PubMed |
description | Melanoma is the leading cause of cancer-related death among skin tumors, with an increasing incidence worldwide. Few studies have effectively investigated the significance of an immune-related gene (IRG) signature for melanoma prognosis. Here, we constructed an IRGs prognostic signature using bioinformatics methods and evaluated and validated its predictive capability. Then, immune cell infiltration and tumor mutation burden (TMB) landscapes associated with this signature in melanoma were analyzed comprehensively. With the 10-IRG prognostic signature, melanoma patients in the low-risk group showed better survival with distinct features of high immune cell infiltration and TMB. Importantly, melanoma patients in this subgroup were significantly responsive to MAGE-A3 in the validation cohort. This immune-related prognostic signature is thus a reliable tool to predict melanoma prognosis; as the underlying mechanism of this signature is associated with immune infiltration and mutation burden, it might reflect the benefit of immunotherapy to patients. |
format | Online Article Text |
id | pubmed-7484056 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74840562020-09-30 Identification of an Immune-Related Prognostic Signature Associated With Immune Infiltration in Melanoma Liu, Nian Liu, Zijian Liu, Xinxin Duan, Xiaoru Huang, Yuqiong Jin, Zilin Niu, Yi Zhang, Liling Chen, Hongxiang Front Genet Genetics Melanoma is the leading cause of cancer-related death among skin tumors, with an increasing incidence worldwide. Few studies have effectively investigated the significance of an immune-related gene (IRG) signature for melanoma prognosis. Here, we constructed an IRGs prognostic signature using bioinformatics methods and evaluated and validated its predictive capability. Then, immune cell infiltration and tumor mutation burden (TMB) landscapes associated with this signature in melanoma were analyzed comprehensively. With the 10-IRG prognostic signature, melanoma patients in the low-risk group showed better survival with distinct features of high immune cell infiltration and TMB. Importantly, melanoma patients in this subgroup were significantly responsive to MAGE-A3 in the validation cohort. This immune-related prognostic signature is thus a reliable tool to predict melanoma prognosis; as the underlying mechanism of this signature is associated with immune infiltration and mutation burden, it might reflect the benefit of immunotherapy to patients. Frontiers Media S.A. 2020-08-28 /pmc/articles/PMC7484056/ /pubmed/33005180 http://dx.doi.org/10.3389/fgene.2020.01002 Text en Copyright © 2020 Liu, Liu, Liu, Duan, Huang, Jin, Niu, Zhang and Chen. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Liu, Nian Liu, Zijian Liu, Xinxin Duan, Xiaoru Huang, Yuqiong Jin, Zilin Niu, Yi Zhang, Liling Chen, Hongxiang Identification of an Immune-Related Prognostic Signature Associated With Immune Infiltration in Melanoma |
title | Identification of an Immune-Related Prognostic Signature Associated With Immune Infiltration in Melanoma |
title_full | Identification of an Immune-Related Prognostic Signature Associated With Immune Infiltration in Melanoma |
title_fullStr | Identification of an Immune-Related Prognostic Signature Associated With Immune Infiltration in Melanoma |
title_full_unstemmed | Identification of an Immune-Related Prognostic Signature Associated With Immune Infiltration in Melanoma |
title_short | Identification of an Immune-Related Prognostic Signature Associated With Immune Infiltration in Melanoma |
title_sort | identification of an immune-related prognostic signature associated with immune infiltration in melanoma |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7484056/ https://www.ncbi.nlm.nih.gov/pubmed/33005180 http://dx.doi.org/10.3389/fgene.2020.01002 |
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