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Migrations of cancer cells through the lens of phylogenetic biogeography
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 t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8387374/ https://www.ncbi.nlm.nih.gov/pubmed/34433859 http://dx.doi.org/10.1038/s41598-021-96215-9 |
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author | Chroni, Antonia Miura, Sayaka Oladeinde, Olumide Aly, Vivian Kumar, Sudhir |
author_facet | Chroni, Antonia Miura, Sayaka Oladeinde, Olumide Aly, Vivian Kumar, Sudhir |
author_sort | Chroni, Antonia |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-8387374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83873742021-09-01 Migrations of cancer cells through the lens of phylogenetic biogeography Chroni, Antonia Miura, Sayaka Oladeinde, Olumide Aly, Vivian Kumar, Sudhir Sci Rep Article 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. Nature Publishing Group UK 2021-08-25 /pmc/articles/PMC8387374/ /pubmed/34433859 http://dx.doi.org/10.1038/s41598-021-96215-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Chroni, Antonia Miura, Sayaka Oladeinde, Olumide Aly, Vivian Kumar, Sudhir Migrations of cancer cells through the lens of phylogenetic biogeography |
title | 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_short | Migrations of cancer cells through the lens of phylogenetic biogeography |
title_sort | migrations of cancer cells through the lens of phylogenetic biogeography |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8387374/ https://www.ncbi.nlm.nih.gov/pubmed/34433859 http://dx.doi.org/10.1038/s41598-021-96215-9 |
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