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Identification of Epithelial–Mesenchymal Transition-Related Prognostic lncRNAs Biomarkers Associated With Melanoma Microenvironment

Melanoma is the most common cancer of the skin, associated with a worse prognosis and distant metastasis. Epithelial–mesenchymal transition (EMT) is a reversible cellular biological process that plays significant roles in diverse tumor functions, and it is modulated by specific genes and transcripti...

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Autores principales: Xiao, Bo, Liu, Liyan, Chen, Zhuoyuan, Li, Aoyu, Wang, Pingxiao, Xiang, Cheng, Zeng, Yi, Li, Hui, Xiao, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201078/
https://www.ncbi.nlm.nih.gov/pubmed/34136488
http://dx.doi.org/10.3389/fcell.2021.679133
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author Xiao, Bo
Liu, Liyan
Chen, Zhuoyuan
Li, Aoyu
Wang, Pingxiao
Xiang, Cheng
Zeng, Yi
Li, Hui
Xiao, Tao
author_facet Xiao, Bo
Liu, Liyan
Chen, Zhuoyuan
Li, Aoyu
Wang, Pingxiao
Xiang, Cheng
Zeng, Yi
Li, Hui
Xiao, Tao
author_sort Xiao, Bo
collection PubMed
description Melanoma is the most common cancer of the skin, associated with a worse prognosis and distant metastasis. Epithelial–mesenchymal transition (EMT) is a reversible cellular biological process that plays significant roles in diverse tumor functions, and it is modulated by specific genes and transcription factors. The relevance of EMT-related lncRNAs in melanoma has not been determined. Therefore, RNA expression data and clinical features were collected from the TCGA database (N = 447). Melanoma samples were randomly assigned into the training (315) and testing sets (132). An EMT-related lncRNA signature was constructed via comprehensive analyses of lncRNA expression level and corresponding clinical data. The Kaplan-Meier analysis showed significant differences in overall survival in patients with melanoma in the low and high-risk groups in two sets. Receiver operating characteristic (ROC) curves were used to measure the performance of the model. Cox regression analysis indicated that the risk score was an independent prognostic factor in two sets. Besides, a nomogram was constructed based on the independent variables. Gene Set Enrichment Analysis (GSEA) was applied to evaluate the potential biological functions in the two risk groups. Furthermore, the melanoma microenvironment was evaluated using ESTIMATE and CIBERSORT algorithms in the risk groups. This study indicates that EMT-related lncRNAs can function as potential independent prognostic biomarkers for melanoma survival.
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spelling pubmed-82010782021-06-15 Identification of Epithelial–Mesenchymal Transition-Related Prognostic lncRNAs Biomarkers Associated With Melanoma Microenvironment Xiao, Bo Liu, Liyan Chen, Zhuoyuan Li, Aoyu Wang, Pingxiao Xiang, Cheng Zeng, Yi Li, Hui Xiao, Tao Front Cell Dev Biol Cell and Developmental Biology Melanoma is the most common cancer of the skin, associated with a worse prognosis and distant metastasis. Epithelial–mesenchymal transition (EMT) is a reversible cellular biological process that plays significant roles in diverse tumor functions, and it is modulated by specific genes and transcription factors. The relevance of EMT-related lncRNAs in melanoma has not been determined. Therefore, RNA expression data and clinical features were collected from the TCGA database (N = 447). Melanoma samples were randomly assigned into the training (315) and testing sets (132). An EMT-related lncRNA signature was constructed via comprehensive analyses of lncRNA expression level and corresponding clinical data. The Kaplan-Meier analysis showed significant differences in overall survival in patients with melanoma in the low and high-risk groups in two sets. Receiver operating characteristic (ROC) curves were used to measure the performance of the model. Cox regression analysis indicated that the risk score was an independent prognostic factor in two sets. Besides, a nomogram was constructed based on the independent variables. Gene Set Enrichment Analysis (GSEA) was applied to evaluate the potential biological functions in the two risk groups. Furthermore, the melanoma microenvironment was evaluated using ESTIMATE and CIBERSORT algorithms in the risk groups. This study indicates that EMT-related lncRNAs can function as potential independent prognostic biomarkers for melanoma survival. Frontiers Media S.A. 2021-05-31 /pmc/articles/PMC8201078/ /pubmed/34136488 http://dx.doi.org/10.3389/fcell.2021.679133 Text en Copyright © 2021 Xiao, Liu, Chen, Li, Wang, Xiang, Zeng, Li and Xiao. https://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 Cell and Developmental Biology
Xiao, Bo
Liu, Liyan
Chen, Zhuoyuan
Li, Aoyu
Wang, Pingxiao
Xiang, Cheng
Zeng, Yi
Li, Hui
Xiao, Tao
Identification of Epithelial–Mesenchymal Transition-Related Prognostic lncRNAs Biomarkers Associated With Melanoma Microenvironment
title Identification of Epithelial–Mesenchymal Transition-Related Prognostic lncRNAs Biomarkers Associated With Melanoma Microenvironment
title_full Identification of Epithelial–Mesenchymal Transition-Related Prognostic lncRNAs Biomarkers Associated With Melanoma Microenvironment
title_fullStr Identification of Epithelial–Mesenchymal Transition-Related Prognostic lncRNAs Biomarkers Associated With Melanoma Microenvironment
title_full_unstemmed Identification of Epithelial–Mesenchymal Transition-Related Prognostic lncRNAs Biomarkers Associated With Melanoma Microenvironment
title_short Identification of Epithelial–Mesenchymal Transition-Related Prognostic lncRNAs Biomarkers Associated With Melanoma Microenvironment
title_sort identification of epithelial–mesenchymal transition-related prognostic lncrnas biomarkers associated with melanoma microenvironment
topic Cell and Developmental Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201078/
https://www.ncbi.nlm.nih.gov/pubmed/34136488
http://dx.doi.org/10.3389/fcell.2021.679133
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