Abstract
Tumor heterogeneity is a limiting factor in cancer treatment and in the discovery of biomarkers to personalize it. We describe a computational purification tool, ISOpure, which directly addresses the effects of variable contamination by normal tissue in clinical tumor specimens. ISOpure uses a set of tumor expression profiles and a panel of healthy tissue expression profiles to generate a purified cancer profile for each tumor sample, and an estimate of the proportion of RNA originating from cancerous cells. Applying ISOpure before identifying gene signatures leads to significant improvements in the prediction of prognosis and other clinical variables in lung and prostate cancer.
Original language | English (US) |
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Article number | 29 |
Journal | Genome Medicine |
Volume | 5 |
Issue number | 3 |
DOIs | |
State | Published - Mar 28 2013 |
Externally published | Yes |
ASJC Scopus subject areas
- Genetics(clinical)
- Genetics
- Molecular Biology
- Molecular Medicine