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Lineage and ecology define liver tumor evolution in response to treatment

  1. Author:
    Revsine, Mahler
    Wang, Limin
    Forgues, Marshonna
    Behrens, Shay
    Craig, Amanda J
    Liu, Meng
    Tran,Bao
    Kelly,Michael
    Budhu, Anuradha
    Monge, Cecilia
    Xie, Changqing
    Hernandez, Jonathan M
    Greten, Tim F
    Wang, Xin Wei
    Ma, Lichun

  2. Author Address

    Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA., Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA; Surgical Oncology Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA., Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA., Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 20701, USA., Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA; Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA., Thoracic and GI Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA., Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA; Thoracic and GI Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA., Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA; Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA. Electronic address: xw3u@nih.gov., Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA; Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA. Electronic address: lichun.ma@nih.gov.,
    1. Year: 2024
    2. Date: Feb 20
    3. Epub Date: 2024 01 19
  2. Journal: Cell Reports. Medicine
    1. 5
    2. 2
    3. Pages: 101394
  4. Type of Article: Article
  5. Article Number: 101394
  1. Abstract:

    A tumor ecosystem constantly evolves over time in the face of immune predation or therapeutic intervention, resulting in treatment failure and tumor progression. Here, we present a single-cell transcriptome-based strategy to determine the evolution of longitudinal tumor biopsies from liver cancer patients by measuring cellular lineage and ecology. We construct a lineage and ecological score as joint dynamics of tumor cells and their microenvironments. Tumors may be classified into four main states in the lineage-ecological space, which are associated with clinical outcomes. Analysis of longitudinal samples reveals the evolutionary trajectory of tumors in response to treatment. We validate the lineage-ecology-based scoring system in predicting clinical outcomes using bulk transcriptomic data of additional cohorts of 716 liver cancer patients. Our study provides a framework for monitoring tumor evolution in response to therapeutic intervention. Published by Elsevier Inc.

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External Sources

  1. View Full Text
  2. DOI: 10.1016/j.xcrm.2024.101394
  3. PMID: 38280378
  4. PMCID: PMC10897542
  5. View record in Web of Science®
  6. WOS: 001199849500001
  7. PII : S2666-3791(24)00003-X

Library Notes

  1. Fiscal Year: FY2023-2024
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