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Integrative analysis of the epigenetic basis of muscle-invasive urothelial carcinoma

BACKGROUND: Elucidation of epigenetic alterations in bladder cancer will lead to further understanding of the biology of the disease and hopefully improved therapies. Our aim was to perform an integrative epigenetic analysis of invasive urothelial carcinoma of the bladder to identify the epigenetic...

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Autores principales: Sanford, Thomas, Meng, Maxwell V., Railkar, Reema, Agarwal, Piyush K., Porten, Sima P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809922/
https://www.ncbi.nlm.nih.gov/pubmed/29456764
http://dx.doi.org/10.1186/s13148-018-0451-x
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author Sanford, Thomas
Meng, Maxwell V.
Railkar, Reema
Agarwal, Piyush K.
Porten, Sima P.
author_facet Sanford, Thomas
Meng, Maxwell V.
Railkar, Reema
Agarwal, Piyush K.
Porten, Sima P.
author_sort Sanford, Thomas
collection PubMed
description BACKGROUND: Elucidation of epigenetic alterations in bladder cancer will lead to further understanding of the biology of the disease and hopefully improved therapies. Our aim was to perform an integrative epigenetic analysis of invasive urothelial carcinoma of the bladder to identify the epigenetic abnormalities involved in the development and progression of this cancer. METHODS: Pre-processed methylation data and RNA-seq data were downloaded from The Cancer Genome Atlas (TCGA) and processed using the R package TCGA-Assembler. An R package MethylMix was used to perform an analysis incorporating both methylation and gene expression data on all samples, as well as a subset analysis comparing patients surviving less than 2 years and patients surviving more than 2 years. Genes associated with poor prognosis were individually queried. Pathway analysis was performed on statistically significant genes identified by MethylMix criteria using ConsensusPathDB. Validation was performed using flow cytometry on bladder cancer cell lines. RESULTS: A total of 408 patients met all inclusion criteria. There were a total of 240 genes differentially methylated by MethylMix criteria. Review of individual genes specific to poor-prognosis patients revealed the majority to be candidate tumor suppressors in other cancer types. Pathway analysis showed increase in methylation of genes involved in antioxidant pathways including glutathione and NRF2. Genes involved in estrogen metabolism were also hypermethylated while genes involved in the EGFR pathway were found to be hypomethylated. EGFR expression was confirmed to be elevated in six bladder cancer cell lines. CONCLUSIONS: In patients with invasive urothelial carcinoma, we found differential methylation in patients with better and worse prognosis after cystectomy. Differentially methylated genes are involved in many relevant oncologic pathways, including EGFR and antioxidant pathways, that may be a target for therapy or chemoprevention. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13148-018-0451-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-58099222018-02-16 Integrative analysis of the epigenetic basis of muscle-invasive urothelial carcinoma Sanford, Thomas Meng, Maxwell V. Railkar, Reema Agarwal, Piyush K. Porten, Sima P. Clin Epigenetics Research BACKGROUND: Elucidation of epigenetic alterations in bladder cancer will lead to further understanding of the biology of the disease and hopefully improved therapies. Our aim was to perform an integrative epigenetic analysis of invasive urothelial carcinoma of the bladder to identify the epigenetic abnormalities involved in the development and progression of this cancer. METHODS: Pre-processed methylation data and RNA-seq data were downloaded from The Cancer Genome Atlas (TCGA) and processed using the R package TCGA-Assembler. An R package MethylMix was used to perform an analysis incorporating both methylation and gene expression data on all samples, as well as a subset analysis comparing patients surviving less than 2 years and patients surviving more than 2 years. Genes associated with poor prognosis were individually queried. Pathway analysis was performed on statistically significant genes identified by MethylMix criteria using ConsensusPathDB. Validation was performed using flow cytometry on bladder cancer cell lines. RESULTS: A total of 408 patients met all inclusion criteria. There were a total of 240 genes differentially methylated by MethylMix criteria. Review of individual genes specific to poor-prognosis patients revealed the majority to be candidate tumor suppressors in other cancer types. Pathway analysis showed increase in methylation of genes involved in antioxidant pathways including glutathione and NRF2. Genes involved in estrogen metabolism were also hypermethylated while genes involved in the EGFR pathway were found to be hypomethylated. EGFR expression was confirmed to be elevated in six bladder cancer cell lines. CONCLUSIONS: In patients with invasive urothelial carcinoma, we found differential methylation in patients with better and worse prognosis after cystectomy. Differentially methylated genes are involved in many relevant oncologic pathways, including EGFR and antioxidant pathways, that may be a target for therapy or chemoprevention. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13148-018-0451-x) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-12 /pmc/articles/PMC5809922/ /pubmed/29456764 http://dx.doi.org/10.1186/s13148-018-0451-x Text en © The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Sanford, Thomas
Meng, Maxwell V.
Railkar, Reema
Agarwal, Piyush K.
Porten, Sima P.
Integrative analysis of the epigenetic basis of muscle-invasive urothelial carcinoma
title Integrative analysis of the epigenetic basis of muscle-invasive urothelial carcinoma
title_full Integrative analysis of the epigenetic basis of muscle-invasive urothelial carcinoma
title_fullStr Integrative analysis of the epigenetic basis of muscle-invasive urothelial carcinoma
title_full_unstemmed Integrative analysis of the epigenetic basis of muscle-invasive urothelial carcinoma
title_short Integrative analysis of the epigenetic basis of muscle-invasive urothelial carcinoma
title_sort integrative analysis of the epigenetic basis of muscle-invasive urothelial carcinoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809922/
https://www.ncbi.nlm.nih.gov/pubmed/29456764
http://dx.doi.org/10.1186/s13148-018-0451-x
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