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Analysis of the copy number profiles of several tumor samples from the same patient reveals the successive steps in tumorigenesis

We present a computational method, TuMult, for reconstructing the sequence of copy number changes driving carcinogenesis, based on the analysis of several tumor samples from the same patient. We demonstrate the reliability of the method with simulated data, and describe applications to three differe...

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Detalles Bibliográficos
Autores principales: Letouzé, Eric, Allory, Yves, Bollet, Marc A, Radvanyi, François, Guyon, Frédéric
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2926787/
https://www.ncbi.nlm.nih.gov/pubmed/20649963
http://dx.doi.org/10.1186/gb-2010-11-7-r76
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author Letouzé, Eric
Allory, Yves
Bollet, Marc A
Radvanyi, François
Guyon, Frédéric
author_facet Letouzé, Eric
Allory, Yves
Bollet, Marc A
Radvanyi, François
Guyon, Frédéric
author_sort Letouzé, Eric
collection PubMed
description We present a computational method, TuMult, for reconstructing the sequence of copy number changes driving carcinogenesis, based on the analysis of several tumor samples from the same patient. We demonstrate the reliability of the method with simulated data, and describe applications to three different cancers, showing that TuMult is a valuable tool for the establishment of clonal relationships between tumor samples and the identification of chromosome aberrations occurring at crucial steps in cancer progression.
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spelling pubmed-29267872010-08-24 Analysis of the copy number profiles of several tumor samples from the same patient reveals the successive steps in tumorigenesis Letouzé, Eric Allory, Yves Bollet, Marc A Radvanyi, François Guyon, Frédéric Genome Biol Method We present a computational method, TuMult, for reconstructing the sequence of copy number changes driving carcinogenesis, based on the analysis of several tumor samples from the same patient. We demonstrate the reliability of the method with simulated data, and describe applications to three different cancers, showing that TuMult is a valuable tool for the establishment of clonal relationships between tumor samples and the identification of chromosome aberrations occurring at crucial steps in cancer progression. BioMed Central 2010 2010-07-22 /pmc/articles/PMC2926787/ /pubmed/20649963 http://dx.doi.org/10.1186/gb-2010-11-7-r76 Text en Copyright ©2010 Letouzé et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method
Letouzé, Eric
Allory, Yves
Bollet, Marc A
Radvanyi, François
Guyon, Frédéric
Analysis of the copy number profiles of several tumor samples from the same patient reveals the successive steps in tumorigenesis
title Analysis of the copy number profiles of several tumor samples from the same patient reveals the successive steps in tumorigenesis
title_full Analysis of the copy number profiles of several tumor samples from the same patient reveals the successive steps in tumorigenesis
title_fullStr Analysis of the copy number profiles of several tumor samples from the same patient reveals the successive steps in tumorigenesis
title_full_unstemmed Analysis of the copy number profiles of several tumor samples from the same patient reveals the successive steps in tumorigenesis
title_short Analysis of the copy number profiles of several tumor samples from the same patient reveals the successive steps in tumorigenesis
title_sort analysis of the copy number profiles of several tumor samples from the same patient reveals the successive steps in tumorigenesis
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2926787/
https://www.ncbi.nlm.nih.gov/pubmed/20649963
http://dx.doi.org/10.1186/gb-2010-11-7-r76
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