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A general framework for analyzing tumor subclonality using SNP array and DNA sequencing data
Intra-tumor heterogeneity reflects cancer genome evolution and provides key information for diagnosis and treatment. When bulk tumor tissues are profiled for somatic copy number alterations (sCNA) and point mutations, it may be difficult to estimate their cellular fractions when a mutation falls wit...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4203890/ https://www.ncbi.nlm.nih.gov/pubmed/25253082 http://dx.doi.org/10.1186/s13059-014-0473-4 |
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author | Li, Bo Li, Jun Z |
author_facet | Li, Bo Li, Jun Z |
author_sort | Li, Bo |
collection | PubMed |
description | Intra-tumor heterogeneity reflects cancer genome evolution and provides key information for diagnosis and treatment. When bulk tumor tissues are profiled for somatic copy number alterations (sCNA) and point mutations, it may be difficult to estimate their cellular fractions when a mutation falls within a sCNA. We present the Clonal Heterogeneity Analysis Tool, which estimates cellular fractions for both sCNAs and mutations, and uses their distributions to inform macroscopic clonal architecture. In a set of approximately 700 breast tumors, more than half appear to contain multiple recognizable aneuploid tumor clones, and many show subtype-specific differences in clonality for known cancer genes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-014-0473-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4203890 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42038902014-10-23 A general framework for analyzing tumor subclonality using SNP array and DNA sequencing data Li, Bo Li, Jun Z Genome Biol Method Intra-tumor heterogeneity reflects cancer genome evolution and provides key information for diagnosis and treatment. When bulk tumor tissues are profiled for somatic copy number alterations (sCNA) and point mutations, it may be difficult to estimate their cellular fractions when a mutation falls within a sCNA. We present the Clonal Heterogeneity Analysis Tool, which estimates cellular fractions for both sCNAs and mutations, and uses their distributions to inform macroscopic clonal architecture. In a set of approximately 700 breast tumors, more than half appear to contain multiple recognizable aneuploid tumor clones, and many show subtype-specific differences in clonality for known cancer genes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-014-0473-4) contains supplementary material, which is available to authorized users. BioMed Central 2014-09-25 2014 /pmc/articles/PMC4203890/ /pubmed/25253082 http://dx.doi.org/10.1186/s13059-014-0473-4 Text en © Li and Li; licensee BioMed Central Ltd. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Li, Bo Li, Jun Z A general framework for analyzing tumor subclonality using SNP array and DNA sequencing data |
title | A general framework for analyzing tumor subclonality using SNP array and DNA sequencing data |
title_full | A general framework for analyzing tumor subclonality using SNP array and DNA sequencing data |
title_fullStr | A general framework for analyzing tumor subclonality using SNP array and DNA sequencing data |
title_full_unstemmed | A general framework for analyzing tumor subclonality using SNP array and DNA sequencing data |
title_short | A general framework for analyzing tumor subclonality using SNP array and DNA sequencing data |
title_sort | general framework for analyzing tumor subclonality using snp array and dna sequencing data |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4203890/ https://www.ncbi.nlm.nih.gov/pubmed/25253082 http://dx.doi.org/10.1186/s13059-014-0473-4 |
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