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 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.
Letouzé
Eric
E
INSERM, UMR-S 973, MTi, Université Paris Diderot - Paris 7, 35 rue Hélène Brion, 75205 Paris Cedex 13, France. eric.letouze@gmail.com
Allory
Yves
Y
Bollet
Marc A
MA
Radvanyi
François
F
Guyon
Frédéric
F
D000465:Algorithms; D019457:Chromosome Breakage; D002999:Clone Cells; D003198:Computer Simulation; D056915:DNA Copy Number Variations / Q000235:genetics*; D030541:Databases, Genetic; D018450:Disease Progression; D006801:Humans; D009362:Neoplasm Metastasis / Q000235:genetics; D009369:Neoplasms / Q000235:genetics* / Q000473:pathology; D011230:Precancerous Conditions / Q000235:genetics*