4.8 Article

A hepatocyte differentiation model reveals two subtypes of liver cancer with different oncofetal properties and therapeutic targets

Publisher

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1912146117

Keywords

hepatocyte differentiation; oncofetal properties; liver development; oncogenic driver; cancer subtype

Funding

  1. National Natural Science Foundation of China (NSFC) [81272416, 81702400]
  2. National Basic Research Program of China [2012CB967001]
  3. Hong Kong Research Grant Council (RGC) General Research Fund [767313]
  4. Collaborative Research Funds [C7027-14G, HKU3/CRF/11R, C7038-14G, C6002-17G]
  5. Theme-Based Research Scheme Fund [T12-403/11]
  6. University of Hong Kong Small Project Fund [104003640]
  7. NSFC-RGC Joint Research Scheme [N_HKUST606/17]
  8. Shenzhen Peacock Team Project [KQTD2015033117210153, KQTD2018041118502879]
  9. Guangzhou Key medical discipline construction project fund
  10. Guangdong Province Universities and Colleges Pear River Scholar Funded Scheme (2018)

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Clinical observation of the association between cancer aggressiveness and embryonic development stage implies the importance of developmental signals in cancer initiation and therapeutic resistance. However, the dynamic gene expression during organogenesis and the master oncofetal drivers are still unclear, which impeded the efficient elimination of poor prognostic tumors, including human hepatocellular carcinoma (HCC). In this study, human embryonic stem cells were induced to differentiate into adult hepatocytes along hepatic lineages to mimic liver development in vitro. Combining transcriptomic data from liver cancer patients with the hepatocyte differentiation model, the active genes derived from different hepatic developmental stages and the tumor tissues were selected. Bioinformatic analysis followed by experimental assays was used to validate the tumor subtype-specific oncofetal signatures and potential therapeutic values. Hierarchical clustering analysis revealed the existence of two subtypes of liver cancer with different oncofetal properties. The gene signatures and their clinical significance were further validated in an independent clinical cohort and The Cancer Genome Atlas database. Upstream activator analysis and functional screening further identified E2F1 and SMAD3 as master transcriptional regulators. Small-molecule inhibitors specifically targeting the oncofetal drivers extensively down-regulated subtype-specific developmental signaling and inhibited tumorigenicity. Liver cancer cells and primary HCC tumors with different oncofetal properties also showed selective vulnerability to their specific inhibitors. Further precise targeting of the tumor initiating steps and driving events according to subtype-specific biomarkers might eliminate tumor progression and provide novel therapeutic strategy.

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