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Usage Information

Hippo signaling interactions with Wnt/β-catenin and Notch signaling repress liver tumorigenesis
Wantae Kim, Sanjoy Kumar Khan, Jelena Gvozdenovic-Jeremic, Youngeun Kim, Jason Dahlman, Hanjun Kim, Ogyi Park, Tohru Ishitani, Eek-hoon Jho, Bin Gao, Yingzi Yang
Wantae Kim, Sanjoy Kumar Khan, Jelena Gvozdenovic-Jeremic, Youngeun Kim, Jason Dahlman, Hanjun Kim, Ogyi Park, Tohru Ishitani, Eek-hoon Jho, Bin Gao, Yingzi Yang
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Research Article Genetics Hepatology

Hippo signaling interactions with Wnt/β-catenin and Notch signaling repress liver tumorigenesis

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Abstract

Malignant tumors develop through multiple steps of initiation and progression, and tumor initiation is of singular importance in tumor prevention, diagnosis, and treatment. However, the molecular mechanism whereby a signaling network of interacting pathways restrains proliferation in normal cells and prevents tumor initiation is still poorly understood. Here, we have reported that the Hippo, Wnt/β-catenin, and Notch pathways form an interacting network to maintain liver size and suppress hepatocellular carcinoma (HCC). Ablation of the mammalian Hippo kinases Mst1 and Mst2 in liver led to rapid HCC formation and activated Yes-associated protein/WW domain containing transcription regulator 1 (YAP/TAZ), STAT3, Wnt/β-catenin, and Notch signaling. Previous work has shown that abnormal activation of these downstream pathways can lead to HCC. Rigorous genetic experiments revealed that Notch signaling forms a positive feedback loop with the Hippo signaling effector YAP/TAZ to promote severe hepatomegaly and rapid HCC initiation and progression. Surprisingly, we found that Wnt/β-catenin signaling activation suppressed HCC formation by inhibiting the positive feedback loop between YAP/TAZ and Notch signaling. Furthermore, we found that STAT3 in hepatocytes is dispensable for HCC formation when mammalian sterile 20–like kinase 1 and 2 (Mst1 and Mst2) were removed. The molecular network we have identified provides insights into HCC molecular classifications and therapeutic developments for the treatment of liver tumors caused by distinct genetic mutations.

Authors

Wantae Kim, Sanjoy Kumar Khan, Jelena Gvozdenovic-Jeremic, Youngeun Kim, Jason Dahlman, Hanjun Kim, Ogyi Park, Tohru Ishitani, Eek-hoon Jho, Bin Gao, Yingzi Yang

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Usage data is cumulative from September 2025 through September 2026.

Usage JCI PMC
Text version 1,965 194
PDF 410 56
Figure 1,183 0
Supplemental data 206 12
Citation downloads 261 0
Totals 4,025 262
Total Views 4,287
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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