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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...

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Autores principales: Kamińska, Katarzyna, Białkowska, Aneta, Kowalewski, Janusz, Huang, Sui, Lewandowska, Marzena A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2019
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.
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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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