SRC-RAC1 signaling drives drug resistance to BRAF inhibition in de-differentiated cutaneous melanomas
SRC-RAC1 signaling drives drug resistance to BRAF inhibition in de-differentiated cutaneous melanomas
AbstractRare gain-of-function mutations inRAC1drive drug resistance to targeted BRAF inhibition in cutaneous melanoma. Here, we show that wildtype RAC1 is a critical driver of growth and drug resistance, but only in a subset of melanomas with elevated markers of de-differentiation. Similarly, SRC inhibition also selectively sensitized de-differentiated melanomas to BRAF inhibition. One possible mechanism may be the suppression of the de-differentiated state, as SRC and RAC1 maintained markers of de-differentiation in human melanoma cells. The functional differences between melanoma subtypes suggest that the clinical management of cutaneous melanoma can be enhanced by the knowledge of differentiation status. To simplify the task of classification, we developed a binary classification strategy based on a small set of ten genes. Using this gene set, we reliably determined the differentiation status previously defined by hundreds of genes. Overall, our study informs strategies that enhance the precision of BRAFi by discovering unique vulnerabilities of the de-differentiated cutaneous melanoma subtype and creating a practical method to resolve differentiation status.
- University of Iowa United States
- University of Iowa Holden Comprehensive Cancer Center United States
Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282, Article
Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282, Article
2 Research products, page 1 of 1
- 2021IsAmongTopNSimilarDocuments
- 2022IsAmongTopNSimilarDocuments
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).11 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
