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

Genome Biology
Eric LetouzéFrédéric Guyon

Abstract

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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Citations

Aug 29, 2013·Molecular Therapy : the Journal of the American Society of Gene Therapy·Reba CondiottiEithan Galun
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Datasets Mentioned

BETA
GSE19195

Methods Mentioned

BETA
chromosomal aberrations
biopsy
Genotyping

Software Mentioned

BeadStudio
TuMult
R package DNAcopy
Phylip
R
treedist
Graphviz

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