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Differential gene methylation patterns in cancerous and non-cancerous cells
Large-scale projects, such as The Cancer Genome Atlas (TCGA), Human Epigenome Project (HEP) and Human Epigenome Atlas (HEA), provide an insight into DNA methylation and histone modification markers. Changes in the epigenome significantly contribute to the initiation and progression of cancer. The go...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549081/ https://www.ncbi.nlm.nih.gov/pubmed/31115550 http://dx.doi.org/10.3892/or.2019.7159 |
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author | Kamińska, Katarzyna Białkowska, Aneta Kowalewski, Janusz Huang, Sui Lewandowska, Marzena A. |
author_facet | Kamińska, Katarzyna Białkowska, Aneta Kowalewski, Janusz Huang, Sui Lewandowska, Marzena A. |
author_sort | Kamińska, Katarzyna |
collection | PubMed |
description | Large-scale projects, such as The Cancer Genome Atlas (TCGA), Human Epigenome Project (HEP) and Human Epigenome Atlas (HEA), provide an insight into DNA methylation and histone modification markers. Changes in the epigenome significantly contribute to the initiation and progression of cancer. The goal of the present study was to characterize the prostate cancer malignant transformation model using the CpG island methylation pattern. The Human Prostate Cancer EpiTect Methyl II Signature PCR Array was used to evaluate the methylation status of 22 genes in prostate cancer cell lines: PC3, PC3M, PC3MPro4 and PC3MLN4, each representing different metastatic potential in vivo. Subsequently, it was ascertained whether DNA methylation plays a role in the expression of these genes in prostate cancer cells. Hypermethylation of APC, DKK3, GPX3, GSTP1, MGMT, PTGS2, RASSF1, TIMP2 and TNFRSF10D resulted in downregulation of their expression in prostate cancer cell lines as compared to WT fibroblasts. Mining of the TCGA data deposited in the MetHC database found increases in the methylation status of these 9 genes in prostate cancer patients, further supporting the role of methylation in altering the expression of these genes in prostate cancer. Future studies are warranted to investigate the role of these proteins in prostate cancer development. |
format | Online Article Text |
id | pubmed-6549081 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-65490812019-06-10 Differential gene methylation patterns in cancerous and non-cancerous cells Kamińska, Katarzyna Białkowska, Aneta Kowalewski, Janusz Huang, Sui Lewandowska, Marzena A. Oncol Rep Articles Large-scale projects, such as The Cancer Genome Atlas (TCGA), Human Epigenome Project (HEP) and Human Epigenome Atlas (HEA), provide an insight into DNA methylation and histone modification markers. Changes in the epigenome significantly contribute to the initiation and progression of cancer. The goal of the present study was to characterize the prostate cancer malignant transformation model using the CpG island methylation pattern. The Human Prostate Cancer EpiTect Methyl II Signature PCR Array was used to evaluate the methylation status of 22 genes in prostate cancer cell lines: PC3, PC3M, PC3MPro4 and PC3MLN4, each representing different metastatic potential in vivo. Subsequently, it was ascertained whether DNA methylation plays a role in the expression of these genes in prostate cancer cells. Hypermethylation of APC, DKK3, GPX3, GSTP1, MGMT, PTGS2, RASSF1, TIMP2 and TNFRSF10D resulted in downregulation of their expression in prostate cancer cell lines as compared to WT fibroblasts. Mining of the TCGA data deposited in the MetHC database found increases in the methylation status of these 9 genes in prostate cancer patients, further supporting the role of methylation in altering the expression of these genes in prostate cancer. Future studies are warranted to investigate the role of these proteins in prostate cancer development. D.A. Spandidos 2019-07 2019-05-15 /pmc/articles/PMC6549081/ /pubmed/31115550 http://dx.doi.org/10.3892/or.2019.7159 Text en Copyright: © Kamińska et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Kamińska, Katarzyna Białkowska, Aneta Kowalewski, Janusz Huang, Sui Lewandowska, Marzena A. Differential gene methylation patterns in cancerous and non-cancerous cells |
title | Differential gene methylation patterns in cancerous and non-cancerous cells |
title_full | Differential gene methylation patterns in cancerous and non-cancerous cells |
title_fullStr | Differential gene methylation patterns in cancerous and non-cancerous cells |
title_full_unstemmed | Differential gene methylation patterns in cancerous and non-cancerous cells |
title_short | Differential gene methylation patterns in cancerous and non-cancerous cells |
title_sort | differential gene methylation patterns in cancerous and non-cancerous cells |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549081/ https://www.ncbi.nlm.nih.gov/pubmed/31115550 http://dx.doi.org/10.3892/or.2019.7159 |
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