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Integrated Genome-Wide Methylation and Expression Analyses Reveal Key Regulators in Osteosarcoma

Osteosarcoma (OS) is one of the most common types of primary bone tumors in early adolescence with unsatisfied prognosis. Aberrant DNA methylation had been demonstrated to be related to tumorigenesis and progression of multiple cancers and could serve as the potential biomarkers for the prognosis of...

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Autores principales: Wang, Fei, Qin, Guoqing, Liu, Junzhi, Wang, Xiunan, Ye, Baoguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7443031/
https://www.ncbi.nlm.nih.gov/pubmed/32855654
http://dx.doi.org/10.1155/2020/7067649
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author Wang, Fei
Qin, Guoqing
Liu, Junzhi
Wang, Xiunan
Ye, Baoguo
author_facet Wang, Fei
Qin, Guoqing
Liu, Junzhi
Wang, Xiunan
Ye, Baoguo
author_sort Wang, Fei
collection PubMed
description Osteosarcoma (OS) is one of the most common types of primary bone tumors in early adolescence with unsatisfied prognosis. Aberrant DNA methylation had been demonstrated to be related to tumorigenesis and progression of multiple cancers and could serve as the potential biomarkers for the prognosis of human cancers. In conclusion, this study identified 18 downregulated hypomethylation genes and 52 upregulated hypomethylation genes in OS by integrating the analysis the GSE97529 and GSE42572 datasets. Bioinformatics analysis revealed that OS-specific methylated genes were involved in regulating multiple biological processes, including chemical synaptic transmission, transcription, response to drug, and regulating immune response. KEGG pathway analysis showed that OS-specific methylated genes were associated with the regulation of Hippo, cAMP calcium, MAPK, and Wnt signaling pathways. By analyzing R2 datasets, this study showed that the dysregulation of these OS-specific methylated genes was associated with the metastasis-free survival time in patients with OS, including CBLN4, ANKMY1, BZW1, KRTCAP3, GZMB, KRTDAP, LY9, PFKFB2, PTPN22, and CLDN7. This study provided a better understanding of the molecular mechanisms underlying the progression and OS and novel biomarkers for the prognosis of OS.
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spelling pubmed-74430312020-08-26 Integrated Genome-Wide Methylation and Expression Analyses Reveal Key Regulators in Osteosarcoma Wang, Fei Qin, Guoqing Liu, Junzhi Wang, Xiunan Ye, Baoguo Comput Math Methods Med Research Article Osteosarcoma (OS) is one of the most common types of primary bone tumors in early adolescence with unsatisfied prognosis. Aberrant DNA methylation had been demonstrated to be related to tumorigenesis and progression of multiple cancers and could serve as the potential biomarkers for the prognosis of human cancers. In conclusion, this study identified 18 downregulated hypomethylation genes and 52 upregulated hypomethylation genes in OS by integrating the analysis the GSE97529 and GSE42572 datasets. Bioinformatics analysis revealed that OS-specific methylated genes were involved in regulating multiple biological processes, including chemical synaptic transmission, transcription, response to drug, and regulating immune response. KEGG pathway analysis showed that OS-specific methylated genes were associated with the regulation of Hippo, cAMP calcium, MAPK, and Wnt signaling pathways. By analyzing R2 datasets, this study showed that the dysregulation of these OS-specific methylated genes was associated with the metastasis-free survival time in patients with OS, including CBLN4, ANKMY1, BZW1, KRTCAP3, GZMB, KRTDAP, LY9, PFKFB2, PTPN22, and CLDN7. This study provided a better understanding of the molecular mechanisms underlying the progression and OS and novel biomarkers for the prognosis of OS. Hindawi 2020-08-13 /pmc/articles/PMC7443031/ /pubmed/32855654 http://dx.doi.org/10.1155/2020/7067649 Text en Copyright © 2020 Fei Wang et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wang, Fei
Qin, Guoqing
Liu, Junzhi
Wang, Xiunan
Ye, Baoguo
Integrated Genome-Wide Methylation and Expression Analyses Reveal Key Regulators in Osteosarcoma
title Integrated Genome-Wide Methylation and Expression Analyses Reveal Key Regulators in Osteosarcoma
title_full Integrated Genome-Wide Methylation and Expression Analyses Reveal Key Regulators in Osteosarcoma
title_fullStr Integrated Genome-Wide Methylation and Expression Analyses Reveal Key Regulators in Osteosarcoma
title_full_unstemmed Integrated Genome-Wide Methylation and Expression Analyses Reveal Key Regulators in Osteosarcoma
title_short Integrated Genome-Wide Methylation and Expression Analyses Reveal Key Regulators in Osteosarcoma
title_sort integrated genome-wide methylation and expression analyses reveal key regulators in osteosarcoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7443031/
https://www.ncbi.nlm.nih.gov/pubmed/32855654
http://dx.doi.org/10.1155/2020/7067649
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