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The comparison of cancer gene mutation frequencies in Chinese and U.S. patient populations
Knowing the mutation frequency of cancer genes in China is crucial for reducing the global health burden. We integrate the tumor epidemiological statistics with cancer gene mutation rates identified in 11,948 cancer patients to determine their weighted proportions within a Chinese cancer patient coh...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512793/ https://www.ncbi.nlm.nih.gov/pubmed/36163440 http://dx.doi.org/10.1038/s41467-022-33351-4 |
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author | Ma, Fayang Laster, Kyle Dong, Zigang |
author_facet | Ma, Fayang Laster, Kyle Dong, Zigang |
author_sort | Ma, Fayang |
collection | PubMed |
description | Knowing the mutation frequency of cancer genes in China is crucial for reducing the global health burden. We integrate the tumor epidemiological statistics with cancer gene mutation rates identified in 11,948 cancer patients to determine their weighted proportions within a Chinese cancer patient cohort. TP53 (51.4%), LRP1B (13.4%), PIK3CA (11.6%), KRAS (11.1%), EGFR (10.6%), and APC (10.5%) are identified as the top mutated cancer genes in China. Additionally, 18 common cancer types from both China and U.S. cohorts are analyzed and classified into three patterns principally based upon TP53 mutation rates: TP53-Top, TP53-Plus, and Non-TP53. Next, corresponding similarities and prominent differences are identified upon comparing the mutational profiles from both cohorts. Finally, the potential population-specific and environmental risk factors underlying the disparities in cancer gene mutation rates between the U.S. and China are analyzed. Here, we show and compare the mutation rates of cancer genes in Chinese and U.S. population cohorts, for a better understanding of the associated etiological and epidemiological factors, which are important for cancer prevention and therapy. |
format | Online Article Text |
id | pubmed-9512793 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95127932022-09-28 The comparison of cancer gene mutation frequencies in Chinese and U.S. patient populations Ma, Fayang Laster, Kyle Dong, Zigang Nat Commun Article Knowing the mutation frequency of cancer genes in China is crucial for reducing the global health burden. We integrate the tumor epidemiological statistics with cancer gene mutation rates identified in 11,948 cancer patients to determine their weighted proportions within a Chinese cancer patient cohort. TP53 (51.4%), LRP1B (13.4%), PIK3CA (11.6%), KRAS (11.1%), EGFR (10.6%), and APC (10.5%) are identified as the top mutated cancer genes in China. Additionally, 18 common cancer types from both China and U.S. cohorts are analyzed and classified into three patterns principally based upon TP53 mutation rates: TP53-Top, TP53-Plus, and Non-TP53. Next, corresponding similarities and prominent differences are identified upon comparing the mutational profiles from both cohorts. Finally, the potential population-specific and environmental risk factors underlying the disparities in cancer gene mutation rates between the U.S. and China are analyzed. Here, we show and compare the mutation rates of cancer genes in Chinese and U.S. population cohorts, for a better understanding of the associated etiological and epidemiological factors, which are important for cancer prevention and therapy. Nature Publishing Group UK 2022-09-26 /pmc/articles/PMC9512793/ /pubmed/36163440 http://dx.doi.org/10.1038/s41467-022-33351-4 Text en © The Author(s) 2022 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Ma, Fayang Laster, Kyle Dong, Zigang The comparison of cancer gene mutation frequencies in Chinese and U.S. patient populations |
title | The comparison of cancer gene mutation frequencies in Chinese and U.S. patient populations |
title_full | The comparison of cancer gene mutation frequencies in Chinese and U.S. patient populations |
title_fullStr | The comparison of cancer gene mutation frequencies in Chinese and U.S. patient populations |
title_full_unstemmed | The comparison of cancer gene mutation frequencies in Chinese and U.S. patient populations |
title_short | The comparison of cancer gene mutation frequencies in Chinese and U.S. patient populations |
title_sort | comparison of cancer gene mutation frequencies in chinese and u.s. patient populations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512793/ https://www.ncbi.nlm.nih.gov/pubmed/36163440 http://dx.doi.org/10.1038/s41467-022-33351-4 |
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