An algorithm for classifying tumors based on genomic aberrations and selecting representative tumor models.

ABSTRACT:

Background

Cancer is a heterogeneous disease caused by genomic aberrations and characterized by significant variability in clinical outcomes and response to therapies. Several subtypes of common cancers have been identified based on alterations of individual cancer genes, such as HER2, EGFR, and others. However, cancer is a complex disease driven by the interaction of multiple genes, so the copy number status of individual genes is not sufficient to define cancer subtypes and predict responses to treatments. A classification based on genome-wide copy number patterns would be better suited for this purpose.

Method

To develop a more comprehensive cancer taxonomy based on genome-wide patterns of copy number abnormalities, we designed an unsupervised classification algorithm tha

SUBMITTER: Lu X 

PROVIDER: S-EPMC2901344 | biostudies-literature | 2010 Jun

REPOSITORIES: biostudies-literature