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

ABSTRACT: We present the first computational approach to reconstruct the sequence of copy number alterations driving carcinogenesis from the analysis of several tumor samples of a same patient. Applied to BAC array-CGH and SNP array data from bladder and breast cancers, this method proved highly valuable to establish the clonal relationships between primary tumors and recurrences and to identify the chromosome aberrations at the initiation of tumorigenesis. This SuperSeries is composed of the SubSeries listed below.

ORGANISM(S): Homo sapiens

PROVIDER: GSE19195 | GEO | 2009/12/01

SECONDARY ACCESSION(S): PRJNA120679

REPOSITORIES: GEO

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

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

Project 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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