Title | Associating somatic mutations to clinical outcomes: a pan-cancer study of survival time. |
Publication Type | Journal Article |
Year of Publication | 2019 |
Authors | Little, Paul, Dan-Yu Lin, and Wei Sun |
Journal | Genome Med |
Volume | 11 |
Issue | 1 |
Pagination | 37 |
Date Published | 2019 May 28 |
ISSN | 1756-994X |
Keywords | Biomarkers, Tumor, Clonal Evolution, DNA, Neoplasm, Genetic Heterogeneity, Humans, Mutation Rate, Neoplasms, Survival Analysis |
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 . |
DOI | 10.1186/s13073-019-0643-9 |
Alternate Journal | Genome Med |
Original Publication | Associating somatic mutations to clinical outcomes: a pan-cancer study of survival time. |
PubMed ID | 31138328 |
PubMed Central ID | PMC6540540 |
Grant List | R01 GM105785 / GM / NIGMS NIH HHS / United States R01 GM126550 / GM / NIGMS NIH HHS / United States R01 HG009974 / HG / NHGRI NIH HHS / United States R01 GM070335 / GM / NIGMS NIH HHS / United States R21 CA224026 / CA / NCI NIH HHS / United States P01 CA142538 / CA / NCI NIH HHS / United States |
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