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Distinct genomic landscape of Chinese pediatric acute myeloid leukemia impacts clinical risk classification

Author

Listed:
  • Ting Liu

    (Shanghai Jiao Tong University)

  • Jianan Rao

    (Shanghai Jiao Tong University)

  • Wenting Hu

    (Shanghai Jiao Tong University)

  • Bowen Cui

    (Shanghai Jiao Tong University)

  • Jiaoyang Cai

    (Shanghai Jiao Tong University)

  • Yuhan Liu

    (Shanghai Jiao Tong University)

  • Huiying Sun

    (Shanghai Jiao Tong University)

  • Xiaoxiao Chen

    (Shanghai Jiao Tong University)

  • Yanjing Tang

    (Shanghai Jiao Tong University)

  • Jing Chen

    (Shanghai Jiao Tong University)

  • Xiang Wang

    (Shanghai Jiao Tong University)

  • Han Wang

    (Shanghai Jiao Tong University)

  • Wubin Qian

    (Crown Bioscience Inc.)

  • Binchen Mao

    (Crown Bioscience Inc.)

  • Sheng Guo

    (Crown Bioscience Inc.)

  • Ronghua Wang

    (Shanghai Jiao Tong University)

  • Yu Liu

    (Shanghai Jiao Tong University)

  • Shuhong Shen

    (Shanghai Jiao Tong University
    Shanghai Jiao Tong University)

Abstract

Studies have revealed key genomic aberrations in pediatric acute myeloid leukemia (AML) based on Western populations. It is unknown to what extent the current genomic findings represent populations with different ethnic backgrounds. Here we present the genomic landscape of driver alterations of Chinese pediatric AML and discover previously undescribed genomic aberrations, including the XPO1-TNRC18 fusion. Comprehensively comparing between the Chinese and Western AML cohorts reveal a substantially distinct genomic alteration profile. For example, Chinese AML patients more commonly exhibit mutations in KIT and CSF3R, and less frequently mutated of genes in the RAS signaling pathway. These differences in mutation frequencies lead to the detection of previously uncharacterized co-occurring mutation pairs. Importantly, the distinct driver profile is clinical relevant. We propose a refined prognosis risk classification model which better reflected the adverse event risk for Chinese AML patients. These results emphasize the importance of genetic background in precision medicine.

Suggested Citation

  • Ting Liu & Jianan Rao & Wenting Hu & Bowen Cui & Jiaoyang Cai & Yuhan Liu & Huiying Sun & Xiaoxiao Chen & Yanjing Tang & Jing Chen & Xiang Wang & Han Wang & Wubin Qian & Binchen Mao & Sheng Guo & Rong, 2022. "Distinct genomic landscape of Chinese pediatric acute myeloid leukemia impacts clinical risk classification," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-29336-y
    DOI: 10.1038/s41467-022-29336-y
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