ArticleGenome medicine2019
Associating somatic mutations to clinical outcomes: a pan-cancer study of survival time.
Article in Genome medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Molecular switch-mediated detection ofBioengineering & translational medicine · 2026Article
- Exome-wide association study reveals 7 functional variants associated with ex-vivo drug response in acute myeloid leukemia patients.BMC medical genomics · 2025Article
- Characterization of tumor evolution by functional clonality and phylogenetics in hepatocellular carcinoma.Communications biology · 2024Article
- Associating somatic mutation with clinical outcomes through kernel regression and optimal transport.Biometrics · 2023Article
- Computational Methods Summarizing Mutational Patterns in Cancer: Promise and Limitations for Clinical Applications.Cancers · 2023Review
- Intra-tumor heterogeneity, turnover rate and karyotype space shape susceptibility to missegregation-induced extinction.PLoS computational biology · 2023Article
- EMeth: An EM algorithm for cell type decomposition based on DNA methylation data.Scientific reports · 2021Article
- Cancer prognosis prediction using somatic point mutation and copy number variation data: a comparison of gene-level and pathway-based models.BMC bioinformatics · 2020Article
- Joint analysis of single-cell and bulk tissue sequencing data to infer intratumor heterogeneity.Biometrics · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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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Registered trials
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