Analysis of the Copy Number Profiles of Several Tumor Samples from the Same Patient Reveals the Successive Steps in Tumorigenesis

Overview

Journal Genome Biol

Specialties Biology
Genetics

Date 2010 Jul 24

PMID 20649963

Citations 34

Authors

Eric Letouze

Yves Allory

Marc A Bollet

Francois Radvanyi

Frederic Guyon

Affiliations

Soon will be listed here.

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.

Citing Articles

Cancer phylogenetic inference using copy number alterations detected from DNA sequencing data.

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Weiner S, Bansal M Life Sci Alliance. 2024; 8(3).

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A Novel Gene Expression Scoring System Predicts Recurrence in Non-Muscle-Invasive Bladder Cancer Patients.

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Copy number architectures define treatment-mediated selection of lethal prostate cancer clones.

Hasan A, Cremaschi P, Wetterskog D, Jayaram A, Wong S, Williams S Nat Commun. 2023; 14(1):4823.

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CNETML: maximum likelihood inference of phylogeny from copy number profiles of multiple samples.

Lu B, Curtius K, Graham T, Yang Z, Barnes C Genome Biol. 2023; 24(1):144.

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