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Pathogenic germline variants in Chinese pancreatic adenocarcinoma patients

Author

Listed:
  • Xiaoyi Yin

    (Second Military Medical University (Naval Medical University)
    Second Military Medical University (Naval Medical University))

  • Hui Shen

    (Qingdao University
    Shandong Provincial Key Laboratory of Neuroimmune Interaction and Regulation
    Second Military Medical University (Naval Medical University))

  • Huan Wang

    (Second Military Medical University (Naval Medical University))

  • Qingchen Wang

    (Fudan University)

  • Shan Zhang

    (Second Military Medical University (Naval Medical University))

  • Chunming Zhang

    (Chinese Academy of Science)

  • Qi Jia

    (Shanghai Jiao Tong University School of Medicine)

  • Shiwei Guo

    (Second Military Medical University (Naval Medical University))

  • Xiongfei Xu

    (Second Military Medical University (Naval Medical University))

  • Wenhui Zhang

    (Second Military Medical University (Naval Medical University))

  • Bo Li

    (Second Military Medical University (Naval Medical University))

  • Xiaohan Shi

    (Second Military Medical University (Naval Medical University))

  • Suizhi Gao

    (Second Military Medical University (Naval Medical University))

  • Meilong Shi

    (Second Military Medical University (Naval Medical University))

  • Xuenan Zhao

    (Second Military Medical University (Naval Medical University))

  • Sheng Wang

    (Second Military Medical University (Naval Medical University))

  • Jiawei Han

    (Second Military Medical University (Naval Medical University)
    Shanghai Jiao Tong University School of Medicine)

  • Guoxiao Zhang

    (Second Military Medical University (Naval Medical University)
    The 72nd Group Army Hospital of Chinese People’s Liberation Army)

  • Yikai Li

    (Second Military Medical University (Naval Medical University))

  • Penghao Li

    (Second Military Medical University (Naval Medical University))

  • Wei Jing

    (Second Military Medical University (Naval Medical University))

  • Bin Song

    (Second Military Medical University (Naval Medical University))

  • Kailian Zheng

    (Second Military Medical University (Naval Medical University))

  • Gang Li

    (Second Military Medical University (Naval Medical University))

  • Yijie Zhang

    (Second Military Medical University (Naval Medical University))

  • Hui Jiang

    (Second Military Medical University (Naval Medical University))

  • Cong Wu

    (Second Military Medical University (Naval Medical University))

  • Zhijian Song

    (OrigiMed)

  • Gang Niu

    (Chinese Academy of Science)

  • Qiangzu Zhang

    (Chinese Academy of Science)

  • Jianglong Guo

    (Shanghai Jiao Tong University School of Medicine)

  • Zhen Sun

    (Shanghai Jiao Tong University School of Medicine)

  • Fengxian Han

    (Second Military Medical University (Naval Medical University)
    University of Shanghai for Science and Technology)

  • Yunguang Li

    (Chinese Academy of Sciences)

  • Dong Gao

    (Chinese Academy of Sciences)

  • Haojie Jin

    (Shanghai Jiao Tong University School of Medicine)

  • Hongbo Yang

    (Fudan University)

  • Jing Li

    (Second Military Medical University (Naval Medical University)
    Second Military Medical University (Naval Medical University))

  • Gang Jin

    (Second Military Medical University (Naval Medical University))

Abstract

Putting pancreatic adenocarcinoma (PAAD) screening into perspective for high-risk individuals could significantly reduce cancer morbidity and mortality. Previous studies have profiled somatic mutations in PAAD. In contrast, the prevalence of mutations in PAAD predisposition genes has not been defined, especially in the Asian population. Using a multi-tier cohort design and whole genome/exome sequencing, we create a comprehensive germline mutation map of PAAD in 1,123 Chinese cancer patients in comparison with 11 pan-ethnic studies. For well-known pathogenic/likely pathogenic germline variants, Chinese patients exhibit overlapping but distinct germline mutation patterns comparing with Western cohorts, highlighted by lower mutation rates in known PAAD genes including BRCA1, BRCA2, ATM, CDKN2A, and CHEK2, and distinct mutations in CFTR, RAD51D, FANCA, ERCC2, and GNAS exclusive to Chinese patients. CFTR emerges as a top candidate gene following loss of heterozygosity analysis. Using an integrative multi-omics and functional validation paradigm, we discover that deleterious variants of uncertain significance may compromise CFTR’s tumor suppressor function, and demonstrate the clinical relevance by using patient derived organoids for drug screen. Our multifaceted approach not only deepens the knowledge of population differences in PAAD germline mutations but also unveils potential avenues for targeted therapeutic interventions.

Suggested Citation

  • Xiaoyi Yin & Hui Shen & Huan Wang & Qingchen Wang & Shan Zhang & Chunming Zhang & Qi Jia & Shiwei Guo & Xiongfei Xu & Wenhui Zhang & Bo Li & Xiaohan Shi & Suizhi Gao & Meilong Shi & Xuenan Zhao & Shen, 2025. "Pathogenic germline variants in Chinese pancreatic adenocarcinoma patients," Nature Communications, Nature, vol. 16(1), pages 1-20, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-57520-3
    DOI: 10.1038/s41467-025-57520-3
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    as
    1. Jordi Barretina & Giordano Caponigro & Nicolas Stransky & Kavitha Venkatesan & Adam A. Margolin & Sungjoon Kim & Christopher J.Wilson & Joseph Lehár & Gregory V. Kryukov & Dmitriy Sonkin & Anupama Red, 2012. "Addendum: The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity," Nature, Nature, vol. 492(7428), pages 290-290, December.
    2. Xuchu Que & Ming-Yow Hung & Calvin Yeang & Ayelet Gonen & Thomas A. Prohaska & Xiaoli Sun & Cody Diehl & Antti Määttä & Dalia E. Gaddis & Karen Bowden & Jennifer Pattison & Jeffrey G. MacDonald & Sepp, 2018. "Publisher Correction: Oxidized phospholipids are proinflammatory and proatherogenic in hypercholesterolaemic mice," Nature, Nature, vol. 561(7724), pages 43-43, September.
    3. Xuchu Que & Ming-Yow Hung & Calvin Yeang & Ayelet Gonen & Thomas A. Prohaska & Xiaoli Sun & Cody Diehl & Antti Määttä & Dalia E. Gaddis & Karen Bowden & Jennifer Pattison & Jeffrey G. MacDonald & Sepp, 2018. "Oxidized phospholipids are proinflammatory and proatherogenic in hypercholesterolaemic mice," Nature, Nature, vol. 558(7709), pages 301-306, June.
    4. Xiaohan Shi & Yunguang Li & Qiuyue Yuan & Shijie Tang & Shiwei Guo & Yehan Zhang & Juan He & Xiaoyu Zhang & Ming Han & Zhuang Liu & Yiqin Zhu & Suizhi Gao & Huan Wang & Xiongfei Xu & Kailian Zheng & W, 2022. "Integrated profiling of human pancreatic cancer organoids reveals chromatin accessibility features associated with drug sensitivity," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    5. Jordi Barretina & Giordano Caponigro & Nicolas Stransky & Kavitha Venkatesan & Adam A. Margolin & Sungjoon Kim & Christopher J. Wilson & Joseph Lehár & Gregory V. Kryukov & Dmitriy Sonkin & Anupama Re, 2012. "The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity," Nature, Nature, vol. 483(7391), pages 603-607, March.
    6. Charles Lu & Mingchao Xie & Michael C. Wendl & Jiayin Wang & Michael D. McLellan & Mark D. M. Leiserson & Kuan-lin Huang & Matthew A. Wyczalkowski & Reyka Jayasinghe & Tapahsama Banerjee & Jie Ning & , 2015. "Patterns and functional implications of rare germline variants across 12 cancer types," Nature Communications, Nature, vol. 6(1), pages 1-13, December.
    7. Aldo Scarpa & David K. Chang & Katia Nones & Vincenzo Corbo & Ann-Marie Patch & Peter Bailey & Rita T. Lawlor & Amber L. Johns & David K. Miller & Andrea Mafficini & Borislav Rusev & Maria Scardoni & , 2017. "Whole-genome landscape of pancreatic neuroendocrine tumours," Nature, Nature, vol. 543(7643), pages 65-71, March.
    8. Andrew V. Biankin & Nicola Waddell & Karin S. Kassahn & Marie-Claude Gingras & Lakshmi B. Muthuswamy & Amber L. Johns & David K. Miller & Peter J. Wilson & Ann-Marie Patch & Jianmin Wu & David K. Chan, 2012. "Pancreatic cancer genomes reveal aberrations in axon guidance pathway genes," Nature, Nature, vol. 491(7424), pages 399-405, November.
    9. Nazneen Rahman, 2014. "Realizing the promise of cancer predisposition genes," Nature, Nature, vol. 505(7483), pages 302-308, January.
    10. Nazneen Rahman, 2014. "Correction: Corrigendum: Realizing the promise of cancer predisposition genes," Nature, Nature, vol. 510(7503), pages 176-176, June.
    11. Peter Bailey & David K. Chang & Katia Nones & Amber L. Johns & Ann-Marie Patch & Marie-Claude Gingras & David K. Miller & Angelika N. Christ & Tim J. C. Bruxner & Michael C. Quinn & Craig Nourse & L. , 2016. "Genomic analyses identify molecular subtypes of pancreatic cancer," Nature, Nature, vol. 531(7592), pages 47-52, March.
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