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DNA methylation biomarkers discovered in silico detect cancer in liquid biopsies from non-small cell lung cancer patients
Identification of cancer-specific methylation of DNA released by tumours can be used for non-invasive diagnostics and monitoring. We previously reported in silico identification of DNA methylation loci specifically hypermethylated in common human cancers that could be used as epigenetic biomarkers....
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7153541/ https://www.ncbi.nlm.nih.gov/pubmed/31775567 http://dx.doi.org/10.1080/15592294.2019.1695333 |
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author | Vrba, Lukas Oshiro, Marc M. Kim, Samuel S. Garland, Linda L. Placencia, Crystal Mahadevan, Daruka Nelson, Mark A. Futscher, Bernard W. |
author_facet | Vrba, Lukas Oshiro, Marc M. Kim, Samuel S. Garland, Linda L. Placencia, Crystal Mahadevan, Daruka Nelson, Mark A. Futscher, Bernard W. |
author_sort | Vrba, Lukas |
collection | PubMed |
description | Identification of cancer-specific methylation of DNA released by tumours can be used for non-invasive diagnostics and monitoring. We previously reported in silico identification of DNA methylation loci specifically hypermethylated in common human cancers that could be used as epigenetic biomarkers. Using DNA methylation specific qPCR we now clinically tested a group of these cancer-specific loci on cell-free DNA (cfDNA) extracted from the plasma fraction of blood samples from healthy controls and non-small cell lung cancer (NSCLC) patients. These DNA methylation biomarkers distinguish lung cancer cases from controls with high sensitivity and specificity (AUC = 0.956), and furthermore, the signal from the markers correlates with tumour size and decreases after surgical resection of lung tumours. Presented observations suggest the clinical value of these DNA methylation biomarkers for NSCLC diagnostics and monitoring. Since we successfully validated the biomarkers using independent DNA methylation data from multiple additional common carcinoma cohorts (bladder, breast, colorectal, oesophageal, head and neck, pancreatic or prostate cancer) we predict that these DNA methylation biomarkers will detect additional carcinoma types from plasma samples as well. |
format | Online Article Text |
id | pubmed-7153541 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-71535412020-04-16 DNA methylation biomarkers discovered in silico detect cancer in liquid biopsies from non-small cell lung cancer patients Vrba, Lukas Oshiro, Marc M. Kim, Samuel S. Garland, Linda L. Placencia, Crystal Mahadevan, Daruka Nelson, Mark A. Futscher, Bernard W. Epigenetics Research Paper Identification of cancer-specific methylation of DNA released by tumours can be used for non-invasive diagnostics and monitoring. We previously reported in silico identification of DNA methylation loci specifically hypermethylated in common human cancers that could be used as epigenetic biomarkers. Using DNA methylation specific qPCR we now clinically tested a group of these cancer-specific loci on cell-free DNA (cfDNA) extracted from the plasma fraction of blood samples from healthy controls and non-small cell lung cancer (NSCLC) patients. These DNA methylation biomarkers distinguish lung cancer cases from controls with high sensitivity and specificity (AUC = 0.956), and furthermore, the signal from the markers correlates with tumour size and decreases after surgical resection of lung tumours. Presented observations suggest the clinical value of these DNA methylation biomarkers for NSCLC diagnostics and monitoring. Since we successfully validated the biomarkers using independent DNA methylation data from multiple additional common carcinoma cohorts (bladder, breast, colorectal, oesophageal, head and neck, pancreatic or prostate cancer) we predict that these DNA methylation biomarkers will detect additional carcinoma types from plasma samples as well. Taylor & Francis 2019-11-27 /pmc/articles/PMC7153541/ /pubmed/31775567 http://dx.doi.org/10.1080/15592294.2019.1695333 Text en © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. |
spellingShingle | Research Paper Vrba, Lukas Oshiro, Marc M. Kim, Samuel S. Garland, Linda L. Placencia, Crystal Mahadevan, Daruka Nelson, Mark A. Futscher, Bernard W. DNA methylation biomarkers discovered in silico detect cancer in liquid biopsies from non-small cell lung cancer patients |
title | DNA methylation biomarkers discovered in silico detect cancer in liquid biopsies from non-small cell lung cancer patients |
title_full | DNA methylation biomarkers discovered in silico detect cancer in liquid biopsies from non-small cell lung cancer patients |
title_fullStr | DNA methylation biomarkers discovered in silico detect cancer in liquid biopsies from non-small cell lung cancer patients |
title_full_unstemmed | DNA methylation biomarkers discovered in silico detect cancer in liquid biopsies from non-small cell lung cancer patients |
title_short | DNA methylation biomarkers discovered in silico detect cancer in liquid biopsies from non-small cell lung cancer patients |
title_sort | dna methylation biomarkers discovered in silico detect cancer in liquid biopsies from non-small cell lung cancer patients |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7153541/ https://www.ncbi.nlm.nih.gov/pubmed/31775567 http://dx.doi.org/10.1080/15592294.2019.1695333 |
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