Differential regulation of the GLI code in BRAF/NRAS driven tumors

Principal investigator

Project type
Znanstveno-istraživački projekti
Programme
Research Projects
Financier
Croatian Science Foundation
Start date
Jan 1st 2019
End date
Dec 31st 2022
Status
Done
Total cost
132464 EUR
More information

The Hedgehog signaling pathway has been implicated in development of various tumors, but the exact roles and molecular mechanisms are still not understood. The focus of this research are the tumors harboring BRAF of NRAS mutations, and their differential response to Hedgehog pathway inhibition. Both BRAF and NRAS non-canonically activate the three GLI proteins, but the activity and interplay of this interaction in still unclear. With this project we propose to determine the exact transcriptional targets of GLI1, GLI2 and GLI3 proteins in melanoma with different genetic backrounds, either harboring a BRAF mutation, a NRAS mutation, or no mutation in these two genes. For this purpose, we will first perform ChIP-seq to determine the transcriptional targets, then knock-out each of the three GLI proteins and sequence the transcriptomes of the knock-out cell lines. After the knock-outs have been generated, a series of cell assays will be performed to determine to role of each of the three GLI proteins in BRAF/NRAS dependant tumors, and to elucidate the mechanism of their action in melanoma. Combined treatments with Hedgehog inhibitors and specific BRAF/NRAS inhibitors, followed by generation and testing of resistant cell lines, will demonstrate if there is a potential benefit in the clinical management of melanoma. All these analyses will demonstrate whether GLI proteins or their transcriptional targets can be used as potential biomarkers for melanoma. Finally, in the final year of the project, a set of clinical samples will be analyzed for these potential biomarkers to determine their possible use in the clinic. In summary, this project plans a complete analysis of the GLI code in BRAF/NRAS dependant melanoma, from determining the transcriptional targets and finding molecular mechanisms, to potential translation to the clinic.