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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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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. |
format | Online Article Text |
id | pubmed-7443031 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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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