Go to JCI Insight
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Alerts
  • Advertising
  • Job board
  • Subscribe
  • Contact
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Gastroenterology
    • Immunology
    • Metabolism
    • Nephrology
    • Neuroscience
    • Oncology
    • Pulmonology
    • Vascular biology
    • All ...
  • Videos
    • Conversations with Giants in Medicine
    • Author's Takes
  • Reviews
    • View all reviews ...
    • Aging (Upcoming)
    • Next-Generation Sequencing in Medicine (Jun 2022)
    • New Therapeutic Targets in Cardiovascular Diseases (Mar 2022)
    • Immunometabolism (Jan 2022)
    • Circadian Rhythm (Oct 2021)
    • Gut-Brain Axis (Jul 2021)
    • Tumor Microenvironment (Mar 2021)
    • View all review series ...
  • Viewpoint
  • Collections
    • In-Press Preview
    • Commentaries
    • Concise Communication
    • Editorials
    • Viewpoint
    • Top read articles
  • Clinical Medicine
  • JCI This Month
    • Current issue
    • Past issues

  • Current issue
  • Past issues
  • Specialties
  • Reviews
  • Review series
  • Conversations with Giants in Medicine
  • Author's Takes
  • In-Press Preview
  • Commentaries
  • Concise Communication
  • Editorials
  • Viewpoint
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Alerts
  • Advertising
  • Job board
  • Subscribe
  • Contact
ZIC2-dependent OCT4 activation drives self-renewal of human liver cancer stem cells
Pingping Zhu, … , Jiayi Wu, Zusen Fan
Pingping Zhu, … , Jiayi Wu, Zusen Fan
Published August 31, 2015
Citation Information: J Clin Invest. 2015;125(10):3795-3808. https://doi.org/10.1172/JCI81979.
View: Text | PDF
Research Article Oncology

ZIC2-dependent OCT4 activation drives self-renewal of human liver cancer stem cells

  • Text
  • PDF
Abstract

Liver cancer stem cells (CSCs) have been identified and shown to have self-renewal and differentiation properties; however, the biology of these hepatic CSCs remains largely unknown. Here, we analyzed transcriptome gene expression profiles of liver CSCs and non-CSCs from hepatocellular carcinoma (HCC) cells lines and found that the transcription factor (TF) ZIC2 is highly expressed in liver CSCs. ZIC2 was required for the self-renewal maintenance of liver CSCs, as ZIC2 depletion reduced sphere formation and xenograft tumor growth in mice. We determined that ZIC2 acts upstream of the TF OCT4 and that ZIC2 recruits the nuclear remodeling factor (NURF) complex to the OCT4 promoter, thereby initiating OCT4 activation. In HCC patients, expression levels of the NURF complex were consistent with clinical severity and prognosis. Moreover, ZIC2 and OCT4 levels positively correlated to the clinicopathological stages of HCC patients. Altogether, our results indicate that levels of ZIC2, OCT4, and the NURF complex can be detected and used for diagnosis and prognosis prediction of HCC patients. Moreover, these factors may be potential therapeutic targets for eradicating liver CSCs.

Authors

Pingping Zhu, Yanying Wang, Lei He, Guanling Huang, Ying Du, Geng Zhang, Xinlong Yan, Pengyan Xia, Buqing Ye, Shuo Wang, Lu Hao, Jiayi Wu, Zusen Fan

×

Figure 1

ZIC2 is highly expressed in HCC tumor tissues.

Options: View larger image (or click on image) Download as PowerPoint
ZIC2 is highly expressed in HCC tumor tissues.
(A) Heatmap of gene expre...
(A) Heatmap of gene expression levels of 283 TFs. Top 10 highly expressed TFs were listed. (B) Top 10 TFs were depleted in Huh7 and Hep3B cells. Their sphere formation was tested via in vitro assays. Significance was calculated vs. shCtrl. (C and D) ZIC2 expression levels were verified in HCC patient samples by quantitative RT-PCR (C) and immunoblotting (D). P, peri-tumor; T, tumor. (E) HCC samples were stained for IHC assay. Representative images were shown in the left panel; the ratios of ZIC2 highly expressed cells and ZIC2 photon intensity were calculated using Image-Pro Plus 6, and statistical results were shown in the right panel. eHCC, early HCC; aHCC, advanced HCC. Scale bars: 50 μm. Data are shown as means ± SD. Two-tailed Student’s t test was used for statistical analysis. *P < 0.05; **P < 0.01; ***P < 0.001; #P < 0.05; and ##P < 0.01. Data are representative of at least 3 independent experiments.

Copyright © 2022 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

Sign up for email alerts