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Single-cell and single-variant resolution analysis of clonal evolution in human liver cancer

View ORCID ProfileXianbin Su, Linan Zhao, View ORCID ProfileYi Shi, Rui Zhang, Qi Long, Shihao Bai, Qing Luo, View ORCID ProfileYingxin Lin, Xin Zou, View ORCID ProfileShila Ghazanfar, Kun Tao, Guoliang Yang, Lan Wang, Kun-Yan He, Xiaofang Cui, Jian He, Jiao-Xiang Wu, Bo Han, Na Wang, Xiaolin Li, View ORCID ProfilePengyi Yang, Shangwei Hou, Jielin Sun, View ORCID ProfileJean Y. H. Yang, Jinhong Chen, Ze-Guang Han
doi: https://doi.org/10.1101/2020.12.30.424907
Xianbin Su
1Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
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  • For correspondence: hanzg@sjtu.edu.cn xbsu@sjtu.edu.cn jinhongch@hotmail.com
Linan Zhao
1Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
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Yi Shi
1Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
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Rui Zhang
2Department of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Fudan University, Shanghai, China
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Qi Long
3Key Laboratory for Regenerative Medicine (Ministry of Education), School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
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Shihao Bai
1Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
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Qing Luo
1Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
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Yingxin Lin
4School of Mathematics and Statistics and Charles Perkins Center, The University of Sydney, Sydney, Australia
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Xin Zou
1Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
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Shila Ghazanfar
5Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, United Kingdom
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Kun Tao
6Department of Pathology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Guoliang Yang
7Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Lan Wang
1Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
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Kun-Yan He
1Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
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Xiaofang Cui
1Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
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Jian He
1Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
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Jiao-Xiang Wu
8Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Bo Han
8Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Na Wang
1Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
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Xiaolin Li
1Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
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Pengyi Yang
4School of Mathematics and Statistics and Charles Perkins Center, The University of Sydney, Sydney, Australia
9Computational Systems Biology Group, Children’s Medical Research Institute, The University of Sydney, Westmead, NSW 2145, Australia
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Shangwei Hou
8Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Jielin Sun
1Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
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Jean Y. H. Yang
4School of Mathematics and Statistics and Charles Perkins Center, The University of Sydney, Sydney, Australia
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Jinhong Chen
2Department of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Fudan University, Shanghai, China
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  • For correspondence: hanzg@sjtu.edu.cn xbsu@sjtu.edu.cn jinhongch@hotmail.com
Ze-Guang Han
1Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
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  • For correspondence: hanzg@sjtu.edu.cn xbsu@sjtu.edu.cn jinhongch@hotmail.com
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Abstract

Genetic heterogeneity of tumor is closely related to clonal evolution, phenotypic diversity and treatment resistance. Such heterogeneity has been characterized in liver cancer at single-cell sub-chromosomal scale, and a more precise single-variant resolution analysis is lacking. Here we employed a strategy to analyze both the single-cell genomic mutations and transcriptomic changes in 5 patients with liver cancer. Target sequencing was done for a total of 480 single cells in a patient-specific manner. DNA copy number status of point mutations was obtained from single-cell mutational profiling. The clonal structures of liver cancers were then uncovered at single-variant resolution, and mutation combinations in single cells enabled reconstruction of their evolutionary history. A common origin but independent evolutionary fate was revealed for primary liver tumor and intrahepatic metastatic portal vein tumor thrombus. The mutational signature suggested early evolutionary process may be related to specific etiology like aristolochic acids. By parallel single-cell RNA-Seq, the transcriptomic phenotype was found to be related with genetic heterogeneity in liver cancer. We reconstructed the single-cell and single-variant resolution clonal evolutionary history of liver cancer, and dissection of both genetic and phenotypic heterogeneity provides knowledge for mechanistic understanding of liver cancer initiation and progression.

Competing Interest Statement

The authors have declared no competing interest.

  • Abbreviations

    ADO
    allelic drop-out
    CNV
    copy number variation
    HCC
    hepatocellular carcinoma
    INDEL
    insertion or deletion
    PVTT
    portal vein tumor thrombus
    scRNA-Seq
    single-cell RNA-Seq
    SNV
    single-nucleotide variation
    VAF
    variant allele frequency
    WES
    whole exome sequencing
    WGA
    whole genome amplification.
  • Copyright 
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    Posted January 02, 2021.
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    Single-cell and single-variant resolution analysis of clonal evolution in human liver cancer
    Xianbin Su, Linan Zhao, Yi Shi, Rui Zhang, Qi Long, Shihao Bai, Qing Luo, Yingxin Lin, Xin Zou, Shila Ghazanfar, Kun Tao, Guoliang Yang, Lan Wang, Kun-Yan He, Xiaofang Cui, Jian He, Jiao-Xiang Wu, Bo Han, Na Wang, Xiaolin Li, Pengyi Yang, Shangwei Hou, Jielin Sun, Jean Y. H. Yang, Jinhong Chen, Ze-Guang Han
    bioRxiv 2020.12.30.424907; doi: https://doi.org/10.1101/2020.12.30.424907
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    Single-cell and single-variant resolution analysis of clonal evolution in human liver cancer
    Xianbin Su, Linan Zhao, Yi Shi, Rui Zhang, Qi Long, Shihao Bai, Qing Luo, Yingxin Lin, Xin Zou, Shila Ghazanfar, Kun Tao, Guoliang Yang, Lan Wang, Kun-Yan He, Xiaofang Cui, Jian He, Jiao-Xiang Wu, Bo Han, Na Wang, Xiaolin Li, Pengyi Yang, Shangwei Hou, Jielin Sun, Jean Y. H. Yang, Jinhong Chen, Ze-Guang Han
    bioRxiv 2020.12.30.424907; doi: https://doi.org/10.1101/2020.12.30.424907

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