Evolutionary Dynamics of Intratumor Heterogeneity
Intraneoplastic diversity in human tumors is a widespread phenomenon of critical importance for tumor progression and the response to therapeutic intervention. Insights into the evolutionary events that control tumor heterogeneity would be a major breakthrough in our comprehension of cancer developm...
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| Format: | Online |
| Language: | English |
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Public Library of Science
2011
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3068148/ |
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pubmed-30681482011-04-08 Evolutionary Dynamics of Intratumor Heterogeneity Iwasa, Yoh Michor, Franziska Research Article Intraneoplastic diversity in human tumors is a widespread phenomenon of critical importance for tumor progression and the response to therapeutic intervention. Insights into the evolutionary events that control tumor heterogeneity would be a major breakthrough in our comprehension of cancer development and could lead to more effective prevention methods and therapies. In this paper, we design an evolutionary mathematical framework to study the dynamics of heterogeneity over time. We consider specific situations arising during tumorigenesis, such as the emergence of positively selected mutations (“drivers”) and the accumulation of neutral variation (“passengers”). We perform exact computer simulations of the emergence of diverse tumor cell clones over time, and derive analytical estimates for the extent of heterogeneity within a population of cancer cells. Our methods contribute to a quantitative understanding of tumor heterogeneity and the impact of heritable alterations on this tumor trait. Public Library of Science 2011-03-30 /pmc/articles/PMC3068148/ /pubmed/21479218 http://dx.doi.org/10.1371/journal.pone.0017866 Text en Iwasa, Michor. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Iwasa, Yoh Michor, Franziska |
| spellingShingle |
Iwasa, Yoh Michor, Franziska Evolutionary Dynamics of Intratumor Heterogeneity |
| author_facet |
Iwasa, Yoh Michor, Franziska |
| author_sort |
Iwasa, Yoh |
| title |
Evolutionary Dynamics of Intratumor Heterogeneity |
| title_short |
Evolutionary Dynamics of Intratumor Heterogeneity |
| title_full |
Evolutionary Dynamics of Intratumor Heterogeneity |
| title_fullStr |
Evolutionary Dynamics of Intratumor Heterogeneity |
| title_full_unstemmed |
Evolutionary Dynamics of Intratumor Heterogeneity |
| title_sort |
evolutionary dynamics of intratumor heterogeneity |
| description |
Intraneoplastic diversity in human tumors is a widespread phenomenon of critical importance for tumor progression and the response to therapeutic intervention. Insights into the evolutionary events that control tumor heterogeneity would be a major breakthrough in our comprehension of cancer development and could lead to more effective prevention methods and therapies. In this paper, we design an evolutionary mathematical framework to study the dynamics of heterogeneity over time. We consider specific situations arising during tumorigenesis, such as the emergence of positively selected mutations (“drivers”) and the accumulation of neutral variation (“passengers”). We perform exact computer simulations of the emergence of diverse tumor cell clones over time, and derive analytical estimates for the extent of heterogeneity within a population of cancer cells. Our methods contribute to a quantitative understanding of tumor heterogeneity and the impact of heritable alterations on this tumor trait. |
| publisher |
Public Library of Science |
| publishDate |
2011 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3068148/ |
| _version_ |
1611447775728238592 |