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Epigenomic and genomic analysis of transcriptome modulation in skin cutaneous melanoma

Skin cutaneous melanoma (SKCM) is characterized by both epigenetic DNA methylation (MET) abnormalities and genomic copy number variations (CNVs). The resulting transcriptome dysregulation promotes progression of many cancers. In this study, DNA copy numbers and MET, as well as mRNA expression, were...

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Autores principales: Chen, Wuzhen, Cheng, Pu, Jiang, Jingxin, Ren, Yunqing, Wu, Dang, Xue, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377867/
https://www.ncbi.nlm.nih.gov/pubmed/32639949
http://dx.doi.org/10.18632/aging.103115
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author Chen, Wuzhen
Cheng, Pu
Jiang, Jingxin
Ren, Yunqing
Wu, Dang
Xue, Dan
author_facet Chen, Wuzhen
Cheng, Pu
Jiang, Jingxin
Ren, Yunqing
Wu, Dang
Xue, Dan
author_sort Chen, Wuzhen
collection PubMed
description Skin cutaneous melanoma (SKCM) is characterized by both epigenetic DNA methylation (MET) abnormalities and genomic copy number variations (CNVs). The resulting transcriptome dysregulation promotes progression of many cancers. In this study, DNA copy numbers and MET, as well as mRNA expression, were examined in 466 SKCM samples from The Cancer Genome Atlas. Our results indicate that CNVs-correlated (CNVcor) genes and MET-correlated (METcor) genes are coregulated to a remarkable degree. In addition, integrative multi-omics analysis of both METcor and CNVcor genes revealed four SKCM subtypes with differing prognoses; these subtypes were validated with independent data. Immune cell scores were markedly elevated in the iC1 subtype, which had the best prognosis. Immune cell infiltration correlated with DNA MET or CNV level in SKCM. In the iC3 subtype, which was associated with the most aggressive SKCM cases, FAM135B gene mutation frequencies were increased, while CD8A, GBP5, KIAA0040, and SAMHD1 expression were downregulated, suggesting that these genes play important roles in cancer development and immune responses. Taken together, the results of our epigenetic and genomic transcriptome modulation analysis improve our understanding of SKCM pathobiology and may aid in the development of more effective therapies.
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spelling pubmed-73778672020-07-31 Epigenomic and genomic analysis of transcriptome modulation in skin cutaneous melanoma Chen, Wuzhen Cheng, Pu Jiang, Jingxin Ren, Yunqing Wu, Dang Xue, Dan Aging (Albany NY) Research Paper Skin cutaneous melanoma (SKCM) is characterized by both epigenetic DNA methylation (MET) abnormalities and genomic copy number variations (CNVs). The resulting transcriptome dysregulation promotes progression of many cancers. In this study, DNA copy numbers and MET, as well as mRNA expression, were examined in 466 SKCM samples from The Cancer Genome Atlas. Our results indicate that CNVs-correlated (CNVcor) genes and MET-correlated (METcor) genes are coregulated to a remarkable degree. In addition, integrative multi-omics analysis of both METcor and CNVcor genes revealed four SKCM subtypes with differing prognoses; these subtypes were validated with independent data. Immune cell scores were markedly elevated in the iC1 subtype, which had the best prognosis. Immune cell infiltration correlated with DNA MET or CNV level in SKCM. In the iC3 subtype, which was associated with the most aggressive SKCM cases, FAM135B gene mutation frequencies were increased, while CD8A, GBP5, KIAA0040, and SAMHD1 expression were downregulated, suggesting that these genes play important roles in cancer development and immune responses. Taken together, the results of our epigenetic and genomic transcriptome modulation analysis improve our understanding of SKCM pathobiology and may aid in the development of more effective therapies. Impact Journals 2020-07-07 /pmc/articles/PMC7377867/ /pubmed/32639949 http://dx.doi.org/10.18632/aging.103115 Text en Copyright © 2020 Chen et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Chen, Wuzhen
Cheng, Pu
Jiang, Jingxin
Ren, Yunqing
Wu, Dang
Xue, Dan
Epigenomic and genomic analysis of transcriptome modulation in skin cutaneous melanoma
title Epigenomic and genomic analysis of transcriptome modulation in skin cutaneous melanoma
title_full Epigenomic and genomic analysis of transcriptome modulation in skin cutaneous melanoma
title_fullStr Epigenomic and genomic analysis of transcriptome modulation in skin cutaneous melanoma
title_full_unstemmed Epigenomic and genomic analysis of transcriptome modulation in skin cutaneous melanoma
title_short Epigenomic and genomic analysis of transcriptome modulation in skin cutaneous melanoma
title_sort epigenomic and genomic analysis of transcriptome modulation in skin cutaneous melanoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377867/
https://www.ncbi.nlm.nih.gov/pubmed/32639949
http://dx.doi.org/10.18632/aging.103115
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