| Literature DB >> 28056180 |
Nilgun Donmez1,2, Salem Malikic1,2, Alexander W Wyatt2,3, Martin E Gleave2, Colin C Collins2,3, S Cenk Sahinalp1,2,4.
Abstract
Inference of intra-tumor heterogeneity can provide valuable insight into cancer evolution. Somatic mutations detected by sequencing can help estimate the purity of a tumor sample and reconstruct its subclonal composition. Although several methods have been developed to infer intra-tumor heterogeneity, the majority of these tools rely on variant allele frequencies as estimated via ultra-deep sequencing from multiple samples of the same tumor. In practice, obtaining sequencing data from a large number of samples per patient is only feasible in a few cancer types such as liquid tumors, or in rare cases involving solid tumors selected for research. We introduce CTPsingle, which aims at inferring the subclonal composition by using low-coverage sequencing data from a single tumor sample. We show that CTPsingle is able to infer the purity and the clonality of single-sample tumors with high accuracy, even restricted to a coverage depth of ∼30 × .Entities:
Keywords: DNA sequencing; cancer progression; intra-tumor heterogeneity
Mesh:
Year: 2017 PMID: 28056180 DOI: 10.1089/cmb.2016.0148
Source DB: PubMed Journal: J Comput Biol ISSN: 1066-5277 Impact factor: 1.479