Detecting cancer gene networks characterized by recurrent genomic alterations in a population

Sol Efroni, Rotem Ben-Hamo, Michael Edmonson, Sharon Greenblum, Carl F. Schaefer, Kenneth H. Buetow

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


High resolution, system-wide characterizations have demonstrated the capacity to identify genomic regions that undergo genomic aberrations. Such research efforts often aim at associating these regions with disease etiology and outcome. Identifying the corresponding biologic processes that are responsible for disease and its outcome remains challenging. Using novel analytic methods that utilize the structure of biologic networks, we are able to identify the specific networks that are highly significantly, nonrandomly altered by regions of copy number amplification observed in a systems-wide analysis. We demonstrate this method in breast cancer, where the state of a subset of the pathways identified through these regions is shown to be highly associated with disease survival and recurrence.

Original languageEnglish
Article numbere14437
Pages (from-to)e14437
JournalPLoS ONE
Issue number1
StatePublished - 4 Jan 2011

Bibliographical note

The authors wish to thank Dr. Liran Carmel for his help with the manuscript.


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