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Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis

INTRODUCTION: This study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis. MATERIALS AND METHODS: Gene expression data for melanoma and normal tissue were downloaded from three databases. Diffe...

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Autores principales: Jiang, Jie, Liu, Chong, Xu, Guoyong, Liang, Tuo, Yu, Chaojie, Liao, Shian, Zhang, Zide, Lu, Zhaojun, Wang, Zequn, Chen, Jiarui, Chen, Tianyou, Li, Hao, Zhan, Xinli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8072149/
https://www.ncbi.nlm.nih.gov/pubmed/33912448
http://dx.doi.org/10.3389/fonc.2021.621430
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author Jiang, Jie
Liu, Chong
Xu, Guoyong
Liang, Tuo
Yu, Chaojie
Liao, Shian
Zhang, Zide
Lu, Zhaojun
Wang, Zequn
Chen, Jiarui
Chen, Tianyou
Li, Hao
Zhan, Xinli
author_facet Jiang, Jie
Liu, Chong
Xu, Guoyong
Liang, Tuo
Yu, Chaojie
Liao, Shian
Zhang, Zide
Lu, Zhaojun
Wang, Zequn
Chen, Jiarui
Chen, Tianyou
Li, Hao
Zhan, Xinli
author_sort Jiang, Jie
collection PubMed
description INTRODUCTION: This study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis. MATERIALS AND METHODS: Gene expression data for melanoma and normal tissue were downloaded from three databases. Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene’s protein levels with an immunohistochemical assay to confirm the accuracy of our analysis. RESULTS: A total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression of FOXM1,\ EXO1, KIF20A, TPX2, and CDC20 in melanoma patients with 5 of the top 10 hub genes was associated with reduced overall survival (OS). Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues. CONCLUSION: FOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction.
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spelling pubmed-80721492021-04-27 Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis Jiang, Jie Liu, Chong Xu, Guoyong Liang, Tuo Yu, Chaojie Liao, Shian Zhang, Zide Lu, Zhaojun Wang, Zequn Chen, Jiarui Chen, Tianyou Li, Hao Zhan, Xinli Front Oncol Oncology INTRODUCTION: This study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis. MATERIALS AND METHODS: Gene expression data for melanoma and normal tissue were downloaded from three databases. Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene’s protein levels with an immunohistochemical assay to confirm the accuracy of our analysis. RESULTS: A total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression of FOXM1,\ EXO1, KIF20A, TPX2, and CDC20 in melanoma patients with 5 of the top 10 hub genes was associated with reduced overall survival (OS). Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues. CONCLUSION: FOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction. Frontiers Media S.A. 2021-04-12 /pmc/articles/PMC8072149/ /pubmed/33912448 http://dx.doi.org/10.3389/fonc.2021.621430 Text en Copyright © 2021 Jiang, Liu, Xu, Liang, Yu, Liao, Zhang, Lu, Wang, Chen, Chen, Li and Zhan 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 Oncology
Jiang, Jie
Liu, Chong
Xu, Guoyong
Liang, Tuo
Yu, Chaojie
Liao, Shian
Zhang, Zide
Lu, Zhaojun
Wang, Zequn
Chen, Jiarui
Chen, Tianyou
Li, Hao
Zhan, Xinli
Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis
title Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis
title_full Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis
title_fullStr Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis
title_full_unstemmed Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis
title_short Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis
title_sort identification of hub genes associated with melanoma development by comprehensive bioinformatics analysis
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8072149/
https://www.ncbi.nlm.nih.gov/pubmed/33912448
http://dx.doi.org/10.3389/fonc.2021.621430
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