MOTIVATION Tumor purity (TP) is the proportion of cancer cells in a tumor sample. TP impacts on the accurate assessment of molecular and genomics features as assayed with NGS approaches.… Click to show full abstract
MOTIVATION Tumor purity (TP) is the proportion of cancer cells in a tumor sample. TP impacts on the accurate assessment of molecular and genomics features as assayed with NGS approaches. State-of-the-art tools mainly rely on somatic copy-number alterations (SCNA) to quantify TP and therefore fail when a tumor genome is nearly euploid, i.e. "non-aberrant" in terms of identifiable SCNAs. RESULTS We introduce a computational method, Tumor Purity Estimation from SNVs (TPES), which derives TP from the allelic fraction distribution of SNVs. On more than 7,800 whole-exome sequencing data of TCGA tumor samples, it showed high concordance with a range of TP tools (Spearman's correlation between 0.68 and 0.82; > 9 SNVs) and rescued TP estimates of 1,194 samples (15%) pan-cancer. AVAILABILITY TPES is available as an R package on CRAN and at https://bitbucket.org/l0ka/tpes.git. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
               
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