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Inferring Parsimonious Migration Histories for Metastatic Cancers
Metastasis is the migration of cancerous cells from a primary tumor to other anatomical sites. While metastasis was long thought to result from monoclonal seeding, or single cellular migrations, recent phylogenetic analyses of metastatic cancers have reported complex patterns of cellular migrations...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6103651/ https://www.ncbi.nlm.nih.gov/pubmed/29700472 http://dx.doi.org/10.1038/s41588-018-0106-z |
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author | El-Kebir, Mohammed Satas, Gryte Raphael, Benjamin J. |
author_facet | El-Kebir, Mohammed Satas, Gryte Raphael, Benjamin J. |
author_sort | El-Kebir, Mohammed |
collection | PubMed |
description | Metastasis is the migration of cancerous cells from a primary tumor to other anatomical sites. While metastasis was long thought to result from monoclonal seeding, or single cellular migrations, recent phylogenetic analyses of metastatic cancers have reported complex patterns of cellular migrations between sites, including polyclonal migrations and reseeding. However, accurate determination of migration patterns from somatic mutation data is complicated by intra-tumor heterogeneity and discordance between clonal lineage and cellular migration. We introduce MACHINA, a multi-objective optimization algorithm that jointly infers clonal lineages and parsimonious migration histories of metastatic cancers from DNA sequencing data. MACHINA analysis of data from multiple cancers reveals that migration patterns are often not uniquely determined from sequencing data alone, and that complicated migration patterns among primary tumors and metastases may be less prevalent than previously reported. MACHINA’s rigorous analysis of migration histories will aid in studies of the drivers of metastasis. |
format | Online Article Text |
id | pubmed-6103651 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
record_format | MEDLINE/PubMed |
spelling | pubmed-61036512018-10-26 Inferring Parsimonious Migration Histories for Metastatic Cancers El-Kebir, Mohammed Satas, Gryte Raphael, Benjamin J. Nat Genet Article Metastasis is the migration of cancerous cells from a primary tumor to other anatomical sites. While metastasis was long thought to result from monoclonal seeding, or single cellular migrations, recent phylogenetic analyses of metastatic cancers have reported complex patterns of cellular migrations between sites, including polyclonal migrations and reseeding. However, accurate determination of migration patterns from somatic mutation data is complicated by intra-tumor heterogeneity and discordance between clonal lineage and cellular migration. We introduce MACHINA, a multi-objective optimization algorithm that jointly infers clonal lineages and parsimonious migration histories of metastatic cancers from DNA sequencing data. MACHINA analysis of data from multiple cancers reveals that migration patterns are often not uniquely determined from sequencing data alone, and that complicated migration patterns among primary tumors and metastases may be less prevalent than previously reported. MACHINA’s rigorous analysis of migration histories will aid in studies of the drivers of metastasis. 2018-04-26 2018-05 /pmc/articles/PMC6103651/ /pubmed/29700472 http://dx.doi.org/10.1038/s41588-018-0106-z Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article El-Kebir, Mohammed Satas, Gryte Raphael, Benjamin J. Inferring Parsimonious Migration Histories for Metastatic Cancers |
title | Inferring Parsimonious Migration Histories for Metastatic Cancers |
title_full | Inferring Parsimonious Migration Histories for Metastatic Cancers |
title_fullStr | Inferring Parsimonious Migration Histories for Metastatic Cancers |
title_full_unstemmed | Inferring Parsimonious Migration Histories for Metastatic Cancers |
title_short | Inferring Parsimonious Migration Histories for Metastatic Cancers |
title_sort | inferring parsimonious migration histories for metastatic cancers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6103651/ https://www.ncbi.nlm.nih.gov/pubmed/29700472 http://dx.doi.org/10.1038/s41588-018-0106-z |
work_keys_str_mv | AT elkebirmohammed inferringparsimoniousmigrationhistoriesformetastaticcancers AT satasgryte inferringparsimoniousmigrationhistoriesformetastaticcancers AT raphaelbenjaminj inferringparsimoniousmigrationhistoriesformetastaticcancers |