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Published on: April 27, 2011
Associating somatic mutations to clinical outcomes: a pan-cancer study of survival time
Paul Little1, Dan-Yu Lin2, Wei Sun3,4,5
1Department of Biostatistics, University of North Carolina Chapel Hill, Dauer Drive, Chapel Hill, 27599, NC, USA.
Abstract:
We developed subclone multiplicity allocation and somatic heterogeneity (SMASH), a new statistical method for intra-tumor heterogeneity (ITH) inference. SMASH is tailored to the purpose of large-scale association studies with one tumor sample per patient. In a pan-cancer study of 14 cancer types, we studied the associations between survival time and ITH quantified by SMASH, together with other features of somatic mutations. Our results show that ITH is associated with survival time in several cancer types and its effect can be modified by other covariates, such as mutation burden. SMASH is available at https://github.com/Sun-lab/SMASH .
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