Journal
ISCIENCE
Volume 25, Issue 3, Pages -Publisher
CELL PRESS
DOI: 10.1016/j.isci.2022.103857
Keywords
-
Categories
Funding
- China National GeneBank
- Shenzhen Key Laboratory of Single-Cell Omics [ZDSYS20190902093613831]
- Guangdong-Hong Kong Joint Laboratory on Immunological and Genetic Kidney Diseases [2019B121205005]
- Guangdong Basic and Applied Basic Research Foundation [2021A1515110832]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available