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Development and Validation of an Immune-Related Gene Pair Signature in Skin Cutaneous Melanoma

INTRODUCTION: Skin cutaneous melanoma (SKCM) is a common skin malignancy worldwide, and its metastasis and mortality rates are high. The molecular characteristics exhibited by tumor–immune interactions have drawn the attention from researchers. Therefore, increased knowledge and new strategies to id...

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Autores principales: Xie, Ran, Dong, Suwei, Jiang, Jie, Yang, Conghui, Li, Lanjiang, Zhao, Sheng, Li, Yunlei, Wang, Chun, Li, Shujuan, Xiao, Yanbin, Chen, Long
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7751297/
https://www.ncbi.nlm.nih.gov/pubmed/33364806
http://dx.doi.org/10.2147/CCID.S281364
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author Xie, Ran
Dong, Suwei
Jiang, Jie
Yang, Conghui
Li, Lanjiang
Zhao, Sheng
Li, Yunlei
Wang, Chun
Li, Shujuan
Xiao, Yanbin
Chen, Long
author_facet Xie, Ran
Dong, Suwei
Jiang, Jie
Yang, Conghui
Li, Lanjiang
Zhao, Sheng
Li, Yunlei
Wang, Chun
Li, Shujuan
Xiao, Yanbin
Chen, Long
author_sort Xie, Ran
collection PubMed
description INTRODUCTION: Skin cutaneous melanoma (SKCM) is a common skin malignancy worldwide, and its metastasis and mortality rates are high. The molecular characteristics exhibited by tumor–immune interactions have drawn the attention from researchers. Therefore, increased knowledge and new strategies to identify effective immune-related biomarkers may improve the clinical management of SKCM by providing more accurate prognostic information. PATIENTS AND METHODS: In this study, we established a prognostic immune-related gene pair (IRGP) signature for predicting the survival of SKCM patients. The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases provided gene expression profiles together with clinical information, and the samples were randomly divided into three groups including the training, testing, and validation datasets. The regression model of least absolute shrinkage and selection operator (LASSO) helped to identify a 13-IRGP signature with a significant relation to the survival of SKCM patients. RESULTS: The training, TCGA, and independent sets have an average value of area under the curve of 0.79, 0.76, and 0.82, respectively. In addition, this 13-IRGP signature can noticeably divide SKCM patients into high-risk group and low-risk group with significantly different prognoses. Many biological activities such as gene family were enriched among the genes in our IRGP signature. While analyzing the risk signature and clinical characteristics, there was a large difference in the risk score between T stage and tumor stage grouping. Finally, we constructed a nomogram and forest plots of the risk score and clinical features. CONCLUSION: In summary, we developed a robust 13-IRGP prognostic signature in SKCM, which can identify and provide new insights into immunological biomarkers.
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spelling pubmed-77512972020-12-22 Development and Validation of an Immune-Related Gene Pair Signature in Skin Cutaneous Melanoma Xie, Ran Dong, Suwei Jiang, Jie Yang, Conghui Li, Lanjiang Zhao, Sheng Li, Yunlei Wang, Chun Li, Shujuan Xiao, Yanbin Chen, Long Clin Cosmet Investig Dermatol Original Research INTRODUCTION: Skin cutaneous melanoma (SKCM) is a common skin malignancy worldwide, and its metastasis and mortality rates are high. The molecular characteristics exhibited by tumor–immune interactions have drawn the attention from researchers. Therefore, increased knowledge and new strategies to identify effective immune-related biomarkers may improve the clinical management of SKCM by providing more accurate prognostic information. PATIENTS AND METHODS: In this study, we established a prognostic immune-related gene pair (IRGP) signature for predicting the survival of SKCM patients. The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases provided gene expression profiles together with clinical information, and the samples were randomly divided into three groups including the training, testing, and validation datasets. The regression model of least absolute shrinkage and selection operator (LASSO) helped to identify a 13-IRGP signature with a significant relation to the survival of SKCM patients. RESULTS: The training, TCGA, and independent sets have an average value of area under the curve of 0.79, 0.76, and 0.82, respectively. In addition, this 13-IRGP signature can noticeably divide SKCM patients into high-risk group and low-risk group with significantly different prognoses. Many biological activities such as gene family were enriched among the genes in our IRGP signature. While analyzing the risk signature and clinical characteristics, there was a large difference in the risk score between T stage and tumor stage grouping. Finally, we constructed a nomogram and forest plots of the risk score and clinical features. CONCLUSION: In summary, we developed a robust 13-IRGP prognostic signature in SKCM, which can identify and provide new insights into immunological biomarkers. Dove 2020-12-15 /pmc/articles/PMC7751297/ /pubmed/33364806 http://dx.doi.org/10.2147/CCID.S281364 Text en © 2020 Xie et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Xie, Ran
Dong, Suwei
Jiang, Jie
Yang, Conghui
Li, Lanjiang
Zhao, Sheng
Li, Yunlei
Wang, Chun
Li, Shujuan
Xiao, Yanbin
Chen, Long
Development and Validation of an Immune-Related Gene Pair Signature in Skin Cutaneous Melanoma
title Development and Validation of an Immune-Related Gene Pair Signature in Skin Cutaneous Melanoma
title_full Development and Validation of an Immune-Related Gene Pair Signature in Skin Cutaneous Melanoma
title_fullStr Development and Validation of an Immune-Related Gene Pair Signature in Skin Cutaneous Melanoma
title_full_unstemmed Development and Validation of an Immune-Related Gene Pair Signature in Skin Cutaneous Melanoma
title_short Development and Validation of an Immune-Related Gene Pair Signature in Skin Cutaneous Melanoma
title_sort development and validation of an immune-related gene pair signature in skin cutaneous melanoma
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7751297/
https://www.ncbi.nlm.nih.gov/pubmed/33364806
http://dx.doi.org/10.2147/CCID.S281364
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