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The adaptive evolution of cancer driver genes

BACKGROUND: Cancer is a life-threatening disease in humans; yet, cancer genes are frequently reported to be under positive selection. This suggests an evolutionary-genetic paradox in which cancer evolves as a secondary product of selection in human beings. However, systematic investigation of the ev...

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Autores principales: Gu, Langyu, Xia, Canwei, Yang, Shiyu, Yang, Guofen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131384/
https://www.ncbi.nlm.nih.gov/pubmed/37098512
http://dx.doi.org/10.1186/s12864-023-09301-9
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author Gu, Langyu
Xia, Canwei
Yang, Shiyu
Yang, Guofen
author_facet Gu, Langyu
Xia, Canwei
Yang, Shiyu
Yang, Guofen
author_sort Gu, Langyu
collection PubMed
description BACKGROUND: Cancer is a life-threatening disease in humans; yet, cancer genes are frequently reported to be under positive selection. This suggests an evolutionary-genetic paradox in which cancer evolves as a secondary product of selection in human beings. However, systematic investigation of the evolution of cancer driver genes is sparse. RESULTS: Using comparative genomics analysis, population genetics analysis and computational molecular evolutionary analysis, the evolution of 568 cancer driver genes of 66 cancer types were evaluated at two levels, selection on the early evolution of humans (long timescale selection in the human lineage during primate evolution, i.e., millions of years), and recent selection in modern human populations (~ 100,000 years). Results showed that eight cancer genes covering 11 cancer types were under positive selection in the human lineage (long timescale selection). And 35 cancer genes covering 47 cancer types were under positive selection in modern human populations (recent selection). Moreover, SNPs associated with thyroid cancer in three thyroid cancer driver genes (CUX1, HERC2 and RGPD3) were under positive selection in East Asian and European populations, consistent with the high incidence of thyroid cancer in these populations. CONCLUSIONS: These findings suggest that cancer can be evolved, in part, as a by-product of adaptive changes in humans. Different SNPs at the same locus can be under different selection pressures in different populations, and thus should be under consideration during precision medicine, especially for targeted medicine in specific populations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09301-9.
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spelling pubmed-101313842023-04-27 The adaptive evolution of cancer driver genes Gu, Langyu Xia, Canwei Yang, Shiyu Yang, Guofen BMC Genomics Research BACKGROUND: Cancer is a life-threatening disease in humans; yet, cancer genes are frequently reported to be under positive selection. This suggests an evolutionary-genetic paradox in which cancer evolves as a secondary product of selection in human beings. However, systematic investigation of the evolution of cancer driver genes is sparse. RESULTS: Using comparative genomics analysis, population genetics analysis and computational molecular evolutionary analysis, the evolution of 568 cancer driver genes of 66 cancer types were evaluated at two levels, selection on the early evolution of humans (long timescale selection in the human lineage during primate evolution, i.e., millions of years), and recent selection in modern human populations (~ 100,000 years). Results showed that eight cancer genes covering 11 cancer types were under positive selection in the human lineage (long timescale selection). And 35 cancer genes covering 47 cancer types were under positive selection in modern human populations (recent selection). Moreover, SNPs associated with thyroid cancer in three thyroid cancer driver genes (CUX1, HERC2 and RGPD3) were under positive selection in East Asian and European populations, consistent with the high incidence of thyroid cancer in these populations. CONCLUSIONS: These findings suggest that cancer can be evolved, in part, as a by-product of adaptive changes in humans. Different SNPs at the same locus can be under different selection pressures in different populations, and thus should be under consideration during precision medicine, especially for targeted medicine in specific populations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09301-9. BioMed Central 2023-04-25 /pmc/articles/PMC10131384/ /pubmed/37098512 http://dx.doi.org/10.1186/s12864-023-09301-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Gu, Langyu
Xia, Canwei
Yang, Shiyu
Yang, Guofen
The adaptive evolution of cancer driver genes
title The adaptive evolution of cancer driver genes
title_full The adaptive evolution of cancer driver genes
title_fullStr The adaptive evolution of cancer driver genes
title_full_unstemmed The adaptive evolution of cancer driver genes
title_short The adaptive evolution of cancer driver genes
title_sort adaptive evolution of cancer driver genes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131384/
https://www.ncbi.nlm.nih.gov/pubmed/37098512
http://dx.doi.org/10.1186/s12864-023-09301-9
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