Integrated analysis of tumor samples sheds light on tumor heterogeneity.
Ontology highlight
ABSTRACT: The heterogeneity of tumor samples is a major challenge in the analysis of high-throughput profiling of tumor biopsies and cell lines. The measured aggregate signals of multigenerational progenies often represent an average of several tumor subclones with varying genomic aberrations and different gene expression levels. The goal of the present study was to integrate copy number analyses from SNP-arrays and karyotyping, gene expression profiling, and pathway analyses to detect heterogeneity, identify driver mutations, and explore possible mechanisms of tumor evolution. We showed the heterogeneity of the studied samples, characterized the global copy number alteration profiles, and identified genes whose copy number status and expression levels were aberrant. In particular, we identified a r
SUBMITTER: Parisi F
PROVIDER: S-EPMC3447199 | biostudies-literature | 2012 Sep
REPOSITORIES: biostudies-literature
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