The Hippo tumor suppressor pathway is a highly conserved signaling pathway that regulates cell proliferation, differentiation, and organ size. Activation of the Hippo pathway leads to the phosphorylation and cytoplasmic sequestration of the pro-growth transcriptional co-activators YAP/TAZ; by contrast, impairment of the Hippo pathway enables YAP/TAZ to enter the nucleus where they bind to the TEAD transcription factors and induce the expression of genes involved in cell proliferation. Functional impairment of the Hippo pathway, and subsequent hyperactivation of YAP/TAZ, is common in many human malignancies, including melanoma. Recently, small molecule inhibitors that disrupt YAP/TAZ-TEAD binding, and thus reduce oncogenic transcriptional signaling have been discovered, but their efficacy in preventing cancer cell growth has not yet been well characterized. Moreover, no simple biomarker has been identified that can predict sensitivity to such inhibitors. We hypothesized that cells in which YAP/TAZ are enriched in the nucleus relative to the cytoplasm, indicative of an impaired Hippo pathway, would be more susceptible to TEAD inhibition. This would provide a useful biomarker to identify cancer cell lines most likely to respond to TEAD inhibition. We therefore developed and validated an automated quantification method to score nuclear:cytoplasmic YAP/TAZ localization in melanoma cell lines. This enabled us to identify “Hippo-On” and “Hippo-Off” signatures. We then treated these lines with the TEAD inhibitor MGH-CP1 and performed cell viability assays. Results from these data demonstrated that cell lines that have greater nuclear localization of YAP/TAZ are more susceptible to MGH-CP1 inhibition, suggesting that YAP/TAZ nuclear localization may be a biomarker to identify candidates for TEAD inhibitor treatment.
Identifer | oai:union.ndltd.org:bu.edu/oai:open.bu.edu:2144/48286 |
Date | 29 February 2024 |
Creators | Lee, Annabel J. |
Contributors | Ganem, Neil, Page, Shallee |
Source Sets | Boston University |
Language | en_US |
Detected Language | English |
Type | Thesis/Dissertation |
Page generated in 0.0022 seconds