Functional copy-number alterations in cancer Journal Article


Authors: Taylor, B. S.; Barretina, J.; Socci, N. D.; Decarolis, P.; Ladanyi, M.; Meyerson, M.; Singer, S.; Sander, C.
Article Title: Functional copy-number alterations in cancer
Abstract: Understanding the molecular basis of cancer requires characterization of its genetic defects. DNA microarray technologies can provide detailed raw data about chromosomal aberrations in tumor samples. Computational analysis is needed (1) to deduce from raw array data actual amplification or deletion events for chromosomal fragments and (2) to distinguish causal chromosomal alterations from functionally neutral ones. We present a comprehensive computational approach, RAE, designed to robustly map chromosomal alterations in tumor samples and assess their functional importance in cancer. To demonstrate the methodology, we experimentally profile copy number changes in a clinically aggressive subtype of soft-tissue sarcoma, pleomorphic liposarcoma, and computationally derive a portrait of candidate oncogenic alterations and their target genes. Many affected genes are known to be involved in sarcomagenesis; others are novel, including mediators of adipocyte differentiation, and may include valuable therapeutic targets. Taken together, we present a statistically robust methodology applicable to high-resolution genomic data to assess the extent and function of copy-number alterations in cancer. © 2008 Taylor et al.
Keywords: controlled study; human tissue; human cell; major clinical study; single nucleotide polymorphism; genetics; polymorphism, single nucleotide; methodology; neoplasm; neoplasms; phenotype; gene targeting; cluster analysis; gene amplification; biological model; gene expression profiling; gene function; cell differentiation; carcinogenesis; poisson distribution; gene expression regulation; chromosome aberration; oncogene; gene expression regulation, neoplastic; models, statistical; human genome; soft tissue sarcoma; genomics; malignant neoplastic disease; models, genetic; chromosome aberrations; gene dosage; chromosome analysis; statistical model; mathematical computing; genome, human; liposarcoma; disease activity; adipocyte; chromosome disorder; chromosome number; chromosome duplication
Journal Title: PLoS ONE
Volume: 3
Issue: 9
ISSN: 1932-6203
Publisher: Public Library of Science  
Date Published: 2008-09-11
Start Page: e3179
Language: English
DOI: 10.1371/journal.pone.0003179
PUBMED: 18784837
PROVIDER: scopus
PMCID: PMC2527508
DOI/URL:
Notes: --- - "Cited By (since 1996): 27" - "Export Date: 17 November 2011" - "Source: Scopus"
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Marc Ladanyi
    1332 Ladanyi
  2. Samuel Singer
    337 Singer
  3. Nicholas D Socci
    266 Socci
  4. Chris Sander
    210 Sander
  5. Barry Stephen Taylor
    238 Taylor