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The comparison of cancer gene mutation frequencies in Chinese and U.S. patient populations

Author

Listed:
  • Fayang Ma

    (Zhengzhou University
    China-US (Henan) Hormel Cancer Institute)

  • Kyle Laster

    (China-US (Henan) Hormel Cancer Institute)

  • Zigang Dong

    (Zhengzhou University
    China-US (Henan) Hormel Cancer Institute)

Abstract

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.

Suggested Citation

  • Fayang Ma & Kyle Laster & Zigang Dong, 2022. "The comparison of cancer gene mutation frequencies in Chinese and U.S. patient populations," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-33351-4
    DOI: 10.1038/s41467-022-33351-4
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    1. Leisa Johnson & Kim Mercer & Doron Greenbaum & Roderick T. Bronson & Denise Crowley & David A. Tuveson & Tyler Jacks, 2001. "Somatic activation of the K-ras oncogene causes early onset lung cancer in mice," Nature, Nature, vol. 410(6832), pages 1111-1116, April.
    2. Rahul Nahar & Weiwei Zhai & Tong Zhang & Angela Takano & Alexis J. Khng & Yin Yeng Lee & Xingliang Liu & Chong Hee Lim & Tina P. T. Koh & Zaw Win Aung & Tony Kiat Hon Lim & Lavanya Veeravalli & Ju Yua, 2018. "Elucidating the genomic architecture of Asian EGFR-mutant lung adenocarcinoma through multi-region exome sequencing," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
    3. Gaurav Mendiratta & Eugene Ke & Meraj Aziz & David Liarakos & Melinda Tong & Edward C. Stites, 2021. "Cancer gene mutation frequencies for the U.S. population," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    4. Yun Zhang & Shunbin Xiong & Bin Liu & Vinod Pant & Francis Celii & Gilda Chau & Ana C. Elizondo-Fraire & Peirong Yang & Mingjian James You & Adel K. El-Naggar & Nicholas E. Navin & Guillermina Lozano, 2018. "Somatic Trp53 mutations differentially drive breast cancer and evolution of metastases," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
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