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CancerLocator: non-invasive cancer diagnosis and tissue-of-origin prediction using methylation profiles of cell-free DNA
We propose a probabilistic method, CancerLocator, which exploits the diagnostic potential of cell-free DNA by determining not only the presence but also the location of tumors. CancerLocator simultaneously infers the proportions and the tissue-of-origin of tumor-derived cell-free DNA in a blood samp...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5364586/ https://www.ncbi.nlm.nih.gov/pubmed/28335812 http://dx.doi.org/10.1186/s13059-017-1191-5 |
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author | Kang, Shuli Li, Qingjiao Chen, Quan Zhou, Yonggang Park, Stacy Lee, Gina Grimes, Brandon Krysan, Kostyantyn Yu, Min Wang, Wei Alber, Frank Sun, Fengzhu Dubinett, Steven M. Li, Wenyuan Zhou, Xianghong Jasmine |
author_facet | Kang, Shuli Li, Qingjiao Chen, Quan Zhou, Yonggang Park, Stacy Lee, Gina Grimes, Brandon Krysan, Kostyantyn Yu, Min Wang, Wei Alber, Frank Sun, Fengzhu Dubinett, Steven M. Li, Wenyuan Zhou, Xianghong Jasmine |
author_sort | Kang, Shuli |
collection | PubMed |
description | We propose a probabilistic method, CancerLocator, which exploits the diagnostic potential of cell-free DNA by determining not only the presence but also the location of tumors. CancerLocator simultaneously infers the proportions and the tissue-of-origin of tumor-derived cell-free DNA in a blood sample using genome-wide DNA methylation data. CancerLocator outperforms two established multi-class classification methods on simulations and real data, even with the low proportion of tumor-derived DNA in the cell-free DNA scenarios. CancerLocator also achieves promising results on patient plasma samples with low DNA methylation sequencing coverage. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-017-1191-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5364586 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-53645862017-03-24 CancerLocator: non-invasive cancer diagnosis and tissue-of-origin prediction using methylation profiles of cell-free DNA Kang, Shuli Li, Qingjiao Chen, Quan Zhou, Yonggang Park, Stacy Lee, Gina Grimes, Brandon Krysan, Kostyantyn Yu, Min Wang, Wei Alber, Frank Sun, Fengzhu Dubinett, Steven M. Li, Wenyuan Zhou, Xianghong Jasmine Genome Biol Method We propose a probabilistic method, CancerLocator, which exploits the diagnostic potential of cell-free DNA by determining not only the presence but also the location of tumors. CancerLocator simultaneously infers the proportions and the tissue-of-origin of tumor-derived cell-free DNA in a blood sample using genome-wide DNA methylation data. CancerLocator outperforms two established multi-class classification methods on simulations and real data, even with the low proportion of tumor-derived DNA in the cell-free DNA scenarios. CancerLocator also achieves promising results on patient plasma samples with low DNA methylation sequencing coverage. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-017-1191-5) contains supplementary material, which is available to authorized users. BioMed Central 2017-03-24 /pmc/articles/PMC5364586/ /pubmed/28335812 http://dx.doi.org/10.1186/s13059-017-1191-5 Text en © The Author(s). 2017 Open AccessThis 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 | Method Kang, Shuli Li, Qingjiao Chen, Quan Zhou, Yonggang Park, Stacy Lee, Gina Grimes, Brandon Krysan, Kostyantyn Yu, Min Wang, Wei Alber, Frank Sun, Fengzhu Dubinett, Steven M. Li, Wenyuan Zhou, Xianghong Jasmine CancerLocator: non-invasive cancer diagnosis and tissue-of-origin prediction using methylation profiles of cell-free DNA |
title | CancerLocator: non-invasive cancer diagnosis and tissue-of-origin prediction using methylation profiles of cell-free DNA |
title_full | CancerLocator: non-invasive cancer diagnosis and tissue-of-origin prediction using methylation profiles of cell-free DNA |
title_fullStr | CancerLocator: non-invasive cancer diagnosis and tissue-of-origin prediction using methylation profiles of cell-free DNA |
title_full_unstemmed | CancerLocator: non-invasive cancer diagnosis and tissue-of-origin prediction using methylation profiles of cell-free DNA |
title_short | CancerLocator: non-invasive cancer diagnosis and tissue-of-origin prediction using methylation profiles of cell-free DNA |
title_sort | cancerlocator: non-invasive cancer diagnosis and tissue-of-origin prediction using methylation profiles of cell-free dna |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5364586/ https://www.ncbi.nlm.nih.gov/pubmed/28335812 http://dx.doi.org/10.1186/s13059-017-1191-5 |
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