Migrations of cancer cells through the lens of phylogenetic biogeography

Abstract Malignant cells leave their initial tumor of growth and disperse to other tissues to form metastases. Dispersals also occur in nature when individuals in a population migrate from their area of origin to colonize other habitats. In cancer, phylogenetic biogeography is concerned with the sou...

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Autores principales:	Antonia Chroni, Sayaka Miura, Olumide Oladeinde, Vivian Aly, Sudhir Kumar
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e8b6879d3dee4b91965151f45d00345b
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spelling	oai:doaj.org-article:e8b6879d3dee4b91965151f45d00345b2021-12-02T18:53:08ZMigrations of cancer cells through the lens of phylogenetic biogeography10.1038/s41598-021-96215-92045-2322https://doaj.org/article/e8b6879d3dee4b91965151f45d00345b2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96215-9https://doaj.org/toc/2045-2322Abstract Malignant cells leave their initial tumor of growth and disperse to other tissues to form metastases. Dispersals also occur in nature when individuals in a population migrate from their area of origin to colonize other habitats. In cancer, phylogenetic biogeography is concerned with the source and trajectory of cell movements. We examine the suitability of primary features of organismal biogeography, including genetic diversification, dispersal, extinction, vicariance, and founder effects, to describe and reconstruct clone migration events among tumors. We used computer-simulated data to compare fits of seven biogeographic models and evaluate models’ performance in clone migration reconstruction. Models considering founder effects and dispersals were often better fit for the clone phylogenetic patterns, especially for polyclonal seeding and reseeding of metastases. However, simpler biogeographic models produced more accurate estimates of cell migration histories. Analyses of empirical datasets of basal-like breast cancer had model fits consistent with the patterns seen in the analysis of computer-simulated datasets. Our analyses reveal the powers and pitfalls of biogeographic models for modeling and inferring clone migration histories using tumor genome variation data. We conclude that the principles of molecular evolution and organismal biogeography are useful in these endeavors but that the available models and methods need to be applied judiciously.Antonia ChroniSayaka MiuraOlumide OladeindeVivian AlySudhir KumarNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Antonia Chroni Sayaka Miura Olumide Oladeinde Vivian Aly Sudhir Kumar Migrations of cancer cells through the lens of phylogenetic biogeography
description	Abstract Malignant cells leave their initial tumor of growth and disperse to other tissues to form metastases. Dispersals also occur in nature when individuals in a population migrate from their area of origin to colonize other habitats. In cancer, phylogenetic biogeography is concerned with the source and trajectory of cell movements. We examine the suitability of primary features of organismal biogeography, including genetic diversification, dispersal, extinction, vicariance, and founder effects, to describe and reconstruct clone migration events among tumors. We used computer-simulated data to compare fits of seven biogeographic models and evaluate models’ performance in clone migration reconstruction. Models considering founder effects and dispersals were often better fit for the clone phylogenetic patterns, especially for polyclonal seeding and reseeding of metastases. However, simpler biogeographic models produced more accurate estimates of cell migration histories. Analyses of empirical datasets of basal-like breast cancer had model fits consistent with the patterns seen in the analysis of computer-simulated datasets. Our analyses reveal the powers and pitfalls of biogeographic models for modeling and inferring clone migration histories using tumor genome variation data. We conclude that the principles of molecular evolution and organismal biogeography are useful in these endeavors but that the available models and methods need to be applied judiciously.
format	article
author	Antonia Chroni Sayaka Miura Olumide Oladeinde Vivian Aly Sudhir Kumar
author_facet	Antonia Chroni Sayaka Miura Olumide Oladeinde Vivian Aly Sudhir Kumar
author_sort	Antonia Chroni
title	Migrations of cancer cells through the lens of phylogenetic biogeography
title_short	Migrations of cancer cells through the lens of phylogenetic biogeography
title_full	Migrations of cancer cells through the lens of phylogenetic biogeography
title_fullStr	Migrations of cancer cells through the lens of phylogenetic biogeography
title_full_unstemmed	Migrations of cancer cells through the lens of phylogenetic biogeography
title_sort	migrations of cancer cells through the lens of phylogenetic biogeography
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/e8b6879d3dee4b91965151f45d00345b
work_keys_str_mv	AT antoniachroni migrationsofcancercellsthroughthelensofphylogeneticbiogeography AT sayakamiura migrationsofcancercellsthroughthelensofphylogeneticbiogeography AT olumideoladeinde migrationsofcancercellsthroughthelensofphylogeneticbiogeography AT vivianaly migrationsofcancercellsthroughthelensofphylogeneticbiogeography AT sudhirkumar migrationsofcancercellsthroughthelensofphylogeneticbiogeography
_version_	1718377360119562240

Migrations of cancer cells through the lens of phylogenetic biogeography

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