4.7 Article

Single-cell multiomics reveals heterogeneous cell states linked to metastatic potential in liver cancer cell lines

期刊

ISCIENCE
卷 25, 期 3, 页码 -

出版社

CELL PRESS
DOI: 10.1016/j.isci.2022.103857

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资金

  1. China National GeneBank
  2. Shenzhen Key Laboratory of Single-Cell Omics [ZDSYS20190902093613831]
  3. Guangdong-Hong Kong Joint Laboratory on Immunological and Genetic Kidney Diseases [2019B121205005]
  4. Guangdong Basic and Applied Basic Research Foundation [2021A1515110832]

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This study investigates the molecular mechanisms underlying metastasis in hepatocellular carcinoma (HCC) using single-cell transcriptomic, proteomic, and chromatin accessibility data. The researchers found that the prevalence of a mesenchymal state and levels of cell proliferation are linked to metastatic potential in HCC cell lines. They also identified a rare hypoxic subtype with increased glycolysis capacity and higher metastatic potential. Furthermore, they identified a 14-gene panel representing the hypoxia signature, which could serve as a prognostic index.
Hepatocellular carcinoma (HCC) is the most common liver cancer with a high rate of metastasis. However, the molecular mechanisms that drive metastasis remain unclear. We combined single-cell transcriptomic, proteomic, and chromatin accessibility data to investigate how heterogeneous phenotypes contribute to metastatic potential in five HCC cell lines. We confirmed that the prevalence of a mesenchymal state and levels of cell proliferation are linked to the metastatic potential. We also identified a rare hypoxic subtype that has a higher capacity for glycolysis and exhibits dormant, invasive, and ma::gnant characteristics. This subtype has increased metastatic potential. We further identified a robust 14-gene panel representing this hypoxia signature and this hypoxia signature could serve as a prognostic index. Our data provide a valuable data resource, facilitate a deeper understanding of metastatic mechanisms, and may help diagnosis of metastatic potential in individual patients, thus supporting personalized medicine.

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