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Cancer diagnostic classifiers based on quantitative DNA methylation
Epigenetic change is part of the carcinogenic process and a deep reservoir for biomarker discovery. Reversible methylation of cytosines is noteworthy because it can be measured accurately and easily by various molecular methods and DNA methylation patterns are linked to important tumourigenic pathwa...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Informa UK, Ltd.
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4225655/ https://www.ncbi.nlm.nih.gov/pubmed/24649818 http://dx.doi.org/10.1586/14737159.2014.897610 |
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author | Lorincz, Attila T |
author_facet | Lorincz, Attila T |
author_sort | Lorincz, Attila T |
collection | PubMed |
description | Epigenetic change is part of the carcinogenic process and a deep reservoir for biomarker discovery. Reversible methylation of cytosines is noteworthy because it can be measured accurately and easily by various molecular methods and DNA methylation patterns are linked to important tumourigenic pathways. Clinically relevant methylation changes are known in common human cancers such as cervix, prostate, breast, colon, bladder, stomach and lung. Differential methylation may have a central role in the development and outcome of most if not all human malignancies. The advent of deep sequencing holds great promise for epigenomics, with bioinformatics tools ready to reveal large numbers of new targets for prognosis and therapeutic intervention. This review focuses on two selected cancers, namely cervix and prostate, which illustrate the more general themes of epigenetic diagnostics in cancer. Also discussed is differential methylation of specific human and viral DNA targets and laboratory methods for measuring methylation biomarkers. |
format | Online Article Text |
id | pubmed-4225655 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Informa UK, Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-42256552014-11-25 Cancer diagnostic classifiers based on quantitative DNA methylation Lorincz, Attila T Expert Rev Mol Diagn Review Epigenetic change is part of the carcinogenic process and a deep reservoir for biomarker discovery. Reversible methylation of cytosines is noteworthy because it can be measured accurately and easily by various molecular methods and DNA methylation patterns are linked to important tumourigenic pathways. Clinically relevant methylation changes are known in common human cancers such as cervix, prostate, breast, colon, bladder, stomach and lung. Differential methylation may have a central role in the development and outcome of most if not all human malignancies. The advent of deep sequencing holds great promise for epigenomics, with bioinformatics tools ready to reveal large numbers of new targets for prognosis and therapeutic intervention. This review focuses on two selected cancers, namely cervix and prostate, which illustrate the more general themes of epigenetic diagnostics in cancer. Also discussed is differential methylation of specific human and viral DNA targets and laboratory methods for measuring methylation biomarkers. Informa UK, Ltd. 2014-04 2014-03-21 /pmc/articles/PMC4225655/ /pubmed/24649818 http://dx.doi.org/10.1586/14737159.2014.897610 Text en © Informa UK, Ltd. http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the CC-BY-NC-ND 3.0 License which permits users to download and share the article for non-commercial purposes, so long as the article is reproduced in the whole without changes, and provided the original source is credited. |
spellingShingle | Review Lorincz, Attila T Cancer diagnostic classifiers based on quantitative DNA methylation |
title | Cancer diagnostic classifiers based on quantitative DNA methylation |
title_full | Cancer diagnostic classifiers based on quantitative DNA methylation |
title_fullStr | Cancer diagnostic classifiers based on quantitative DNA methylation |
title_full_unstemmed | Cancer diagnostic classifiers based on quantitative DNA methylation |
title_short | Cancer diagnostic classifiers based on quantitative DNA methylation |
title_sort | cancer diagnostic classifiers based on quantitative dna methylation |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4225655/ https://www.ncbi.nlm.nih.gov/pubmed/24649818 http://dx.doi.org/10.1586/14737159.2014.897610 |
work_keys_str_mv | AT lorinczattilat cancerdiagnosticclassifiersbasedonquantitativednamethylation |