Transcriptomics

Dataset Information

0

Unique vulnerability of RAC1-mutant melanoma to combined inhibition of CDK9 and immune checkpoints


ABSTRACT: RAC1P29S is the third most prevalent hotspot mutation in sun-exposed melanoma. RAC1 alterations in cancer are correlated with poor prognosis, resistance to standard chemotherapy, and insensitivity to targeted inhibitors. Although RAC1P29S mutations in melanoma and RAC1 alterations in several other cancers are increasingly evident, the RAC1-driven biological mechanisms contributing to tumorigenesis remain unclear. Lack of rigorous signaling analysis has prevented identification of alternative therapeutic targets for RAC1P29S-harboring melanomas. To investigate the RAC1P29S-driven effect on downstream molecular signaling pathways, we generated an inducible RAC1P29S expression melanocytic cell line and performed RNA-sequencing (RNA-seq) coupled with multiplexed kinase inhibitor beads and mass spectrometry (MIBs/MS) to establish enriched pathways from the genomic to proteomic level. Our proteogenomic analysis identified CDK9 as a potential new and specific target in RAC1P29S-mutant melanoma cells.In vitro, CDK9 inhibition impeded the proliferation of in RAC1P29S-mutant melanoma cells and increased surface expression of PD-L1 and MHC Class I proteins.In vivo, combining CDK9 inhibition with anti-PD-1 immune checkpoint blockade significantly inhibited tumor growthonly in melanomas that expressed the RAC1P29Smutation. Collectively, these results establish CDK9 as a novel target in RAC1-driven melanoma that can further sensitize the tumor to anti-PD-1 immunotherapy.

ORGANISM(S): Mus musculus

PROVIDER: GSE248218 | GEO | 2024/06/12

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2018-08-10 | GSE118344 | GEO
| PRJNA1042851 | ENA
2023-10-30 | GSE155394 | GEO
2023-10-30 | GSE155386 | GEO
2023-10-30 | GSE161177 | GEO
2015-05-01 | E-GEOD-65041 | biostudies-arrayexpress
2023-10-30 | GSE161178 | GEO
2023-10-30 | GSE186382 | GEO
2015-05-01 | GSE65041 | GEO
2011-10-12 | E-GEOD-32907 | biostudies-arrayexpress