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Novel oxidative stress-related prognostic biomarkers for melanoma associated with tumor metastasis
Skin cutaneous melanoma (SKCM) is a prevalent skin cancer whose metastatic form is dangerous due to its high morbidity and mortality. Previous studies have systematically established the vital role of oxidative stress (OS) in melanoma progression. This study aimed to identify prognostic OS genes clo...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7909214/ https://www.ncbi.nlm.nih.gov/pubmed/33663112 http://dx.doi.org/10.1097/MD.0000000000024866 |
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author | Wu, Xianpei Zhao, Jinmin |
author_facet | Wu, Xianpei Zhao, Jinmin |
author_sort | Wu, Xianpei |
collection | PubMed |
description | Skin cutaneous melanoma (SKCM) is a prevalent skin cancer whose metastatic form is dangerous due to its high morbidity and mortality. Previous studies have systematically established the vital role of oxidative stress (OS) in melanoma progression. This study aimed to identify prognostic OS genes closely associated with SKCM and illustrate their potential mechanisms. Transcriptome data and corresponding clinical traits of patients with SKCM were retrieved from The Cancer Genome Atlas and Gene Expression Omnibus databases. A weighted gene co-expression network analysis was conducted to identify relationships between clinical features and OS genes in specific modules. Subsequently, Cox regression analysis was performed on candidate OS genes; four hub prognosis-associated OS genes (AKAP9, VPS13C, ACSL4, and HMOX2) were identified to construct a prognostic model. After a series of bioinformatics analysis, our prognostic model was identified significantly associated with the overall survival of patients with SKCM and metastatic ability of the cancer. Furthermore, our risk model demonstrated improved diagnostic accuracy in the Cancer Genome Atlas and Gene Expression Omnibus cohorts. In addition, we established 2 nomograms based on either risk score or hub genes, which displayed favorable discriminating ability for SKCM. Our results provide novel insight into the potential applications of OS-associated genes in SKCM. |
format | Online Article Text |
id | pubmed-7909214 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-79092142021-03-01 Novel oxidative stress-related prognostic biomarkers for melanoma associated with tumor metastasis Wu, Xianpei Zhao, Jinmin Medicine (Baltimore) 5700 Skin cutaneous melanoma (SKCM) is a prevalent skin cancer whose metastatic form is dangerous due to its high morbidity and mortality. Previous studies have systematically established the vital role of oxidative stress (OS) in melanoma progression. This study aimed to identify prognostic OS genes closely associated with SKCM and illustrate their potential mechanisms. Transcriptome data and corresponding clinical traits of patients with SKCM were retrieved from The Cancer Genome Atlas and Gene Expression Omnibus databases. A weighted gene co-expression network analysis was conducted to identify relationships between clinical features and OS genes in specific modules. Subsequently, Cox regression analysis was performed on candidate OS genes; four hub prognosis-associated OS genes (AKAP9, VPS13C, ACSL4, and HMOX2) were identified to construct a prognostic model. After a series of bioinformatics analysis, our prognostic model was identified significantly associated with the overall survival of patients with SKCM and metastatic ability of the cancer. Furthermore, our risk model demonstrated improved diagnostic accuracy in the Cancer Genome Atlas and Gene Expression Omnibus cohorts. In addition, we established 2 nomograms based on either risk score or hub genes, which displayed favorable discriminating ability for SKCM. Our results provide novel insight into the potential applications of OS-associated genes in SKCM. Lippincott Williams & Wilkins 2021-02-26 /pmc/articles/PMC7909214/ /pubmed/33663112 http://dx.doi.org/10.1097/MD.0000000000024866 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 |
spellingShingle | 5700 Wu, Xianpei Zhao, Jinmin Novel oxidative stress-related prognostic biomarkers for melanoma associated with tumor metastasis |
title | Novel oxidative stress-related prognostic biomarkers for melanoma associated with tumor metastasis |
title_full | Novel oxidative stress-related prognostic biomarkers for melanoma associated with tumor metastasis |
title_fullStr | Novel oxidative stress-related prognostic biomarkers for melanoma associated with tumor metastasis |
title_full_unstemmed | Novel oxidative stress-related prognostic biomarkers for melanoma associated with tumor metastasis |
title_short | Novel oxidative stress-related prognostic biomarkers for melanoma associated with tumor metastasis |
title_sort | novel oxidative stress-related prognostic biomarkers for melanoma associated with tumor metastasis |
topic | 5700 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7909214/ https://www.ncbi.nlm.nih.gov/pubmed/33663112 http://dx.doi.org/10.1097/MD.0000000000024866 |
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