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Comprehensive profiling of 1015 patients’ exomes reveals genomic-clinical associations in colorectal cancer

Author

Listed:
  • Qi Zhao

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • Feng Wang

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • Yan-Xing Chen

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • Shifu Chen

    (HaploX Biotechnology, Co., Ltd., 8th floor, Auto Electric Power Building)

  • Yi-Chen Yao

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • Zhao-Lei Zeng

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • Teng-Jia Jiang

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • Ying-Nan Wang

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • Chen-Yi Wu

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • Ying Jing

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • You-Sheng Huang

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • Jing Zhang

    (HaploX Biotechnology, Co., Ltd., 8th floor, Auto Electric Power Building)

  • Zi-Xian Wang

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • Ming-Ming He

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • Heng-Ying Pu

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • Zong-Jiong Mai

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • Qi-Nian Wu

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • Renwen Long

    (HaploX Biotechnology, Co., Ltd., 8th floor, Auto Electric Power Building)

  • Xiaoni Zhang

    (HaploX Biotechnology, Co., Ltd., 8th floor, Auto Electric Power Building)

  • Tanxiao Huang

    (HaploX Biotechnology, Co., Ltd., 8th floor, Auto Electric Power Building)

  • Mingyan Xu

    (HaploX Biotechnology, Co., Ltd., 8th floor, Auto Electric Power Building)

  • Miao-Zheng Qiu

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • Hui-Yan Luo

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • Yu-Hong Li

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • Dong-Shen Zhang

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • Wei-Hua Jia

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • Gong Chen

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • Pei-Rong Ding

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • Li-Ren Li

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • Zheng-Hai Lu

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • Zhi-Zhong Pan

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University)

  • Rui-Hua Xu

    (Sun Yat-sen University Cancer Center, Sun Yat-sen University
    Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences)

Abstract

The genetic basis of colorectal cancer (CRC) and its clinical associations remain poorly understood due to limited samples or targeted genes in current studies. Here, we perform ultradeep whole-exome sequencing on 1015 patients with CRC as part of the ChangKang Project. We identify 46 high-confident significantly mutated genes, 8 of which mutate in 14.9% of patients: LYST, DAPK1, CR2, KIF16B, NPIPB15, SYTL2, ZNF91, and KIAA0586. With an unsupervised clustering algorithm, we propose a subtyping strategy that classisfies CRC patients into four genomic subtypes with distinct clinical characteristics, including hypermutated, chromosome instability with high risk, chromosome instability with low risk, and genome stability. Analysis of immunogenicity uncover the association of immunogenicity reduction with genomic subtypes and poor prognosis in CRC. Moreover, we find that mitochondrial DNA copy number is an independent factor for predicting the survival outcome of CRCs. Overall, our results provide CRC-related molecular features for clinical practice and a valuable resource for translational research.

Suggested Citation

  • Qi Zhao & Feng Wang & Yan-Xing Chen & Shifu Chen & Yi-Chen Yao & Zhao-Lei Zeng & Teng-Jia Jiang & Ying-Nan Wang & Chen-Yi Wu & Ying Jing & You-Sheng Huang & Jing Zhang & Zi-Xian Wang & Ming-Ming He & , 2022. "Comprehensive profiling of 1015 patients’ exomes reveals genomic-clinical associations in colorectal cancer," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30062-8
    DOI: 10.1038/s41467-022-30062-8
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