PathFinder: Bayesian inference of clone migration histories in cancer.

作者: Sudhir Kumar , Antonia Chroni , Koichiro Tamura , Maxwell Sanderford , Olumide Oladeinde

DOI: 10.1093/BIOINFORMATICS/BTAA795

关键词:

摘要: Summary Metastases cause a vast majority of cancer morbidity and mortality. Metastatic clones are formed by dispersal cells to secondary tissues, not medically detected or visible until later stages development. Clone phylogenies within patients provide means tracing the otherwise inaccessible dynamic history migrations cells. Here, we present new Bayesian approach, PathFinder, for reconstructing routes cell migrations. PathFinder uses clone phylogeny, number mutational differences among clones, information on presence absence observed in primary metastatic tumors. By analyzing simulated datasets, found that performes well from tumor metastases as between metastases. It was more challenging trace back We errors can be corrected sampling per tumor, increasing genetic variants assayed clone. also identified situations which phylogenetic approaches alone sufficient reconstruct migration routes.In conclusion, anticipate use will enable reliable inference histories their posterior probabilities, is required assess relative preponderance seeding metastasis tumors and/or existing Availability implementation available web at https://github.com/SayakaMiura/PathFinder.

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