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Analysis of the copy number profiles of several tumor samples from the same patient reveals the successive steps in tumorigenesis
Authors:Eric Letouzé  Yves Allory  Marc A Bollet  François Radvanyi  Frédéric Guyon
Institution:1.INSERM, UMR-S 973, MTi,Université Paris Diderot - Paris 7,Paris Cedex 13,France;2.Institut Curie,Centre de Recherche,Paris,France;3.CNRS, UMR 144,Paris Cedex 05,France;4.INSERM, Unité 955,Créteil,France;5.AP-HP, Groupe Hospitalier Albert Chenevier - Henri Mondor,Département de Pathologie,Créteil,France;6.Département d'Oncologie Radiothérapie, Institut Curie,Paris Cedex 05,France
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.
Keywords:
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