Dataset Information

Spectrum, clinical correlates and clinical implications of BRAF-inhibitor resistance mechanisms in melanoma

ABSTRACT: Multiple BRAF inhibitor resistance mechanisms have been described, however their relative frequency, clinical correlates, and effect on subsequent therapy have not been assessed in patients with metastatic melanoma. Excised progressing BRAFV600 mutant melanoma metastases (Prog) from patients treated with dabrafenib (n=22) or vemurafenib (n=8) were analyzed for known resistance mechanisms. Oncogenic signaling in Prog and matched pre-treatment tumors was examined using gene expression analysis. Resistance mechanisms were correlated with clinicopathologic features and outcome. A resistance mechanism was identified in 21/38 (55%) Prog samples from 30 patients; BRAF splice variants (n=12, 32%), N-RAS mutations (n=3, 8%), BRAF amplification (n=3, 8%), MEK1/2 mutations (n=3, 8%) and an AKT1 mutation (n=1, 3%). Four Progs tumours displayed multiple resistance mechanisms, and four patients with multiple Progs demonstrated inter-tumoral heterogeneity of resistance mechanisms. Six (21%) of 29 Progs showed loss of MAPK activity by gene expression analysis. These MAPK-inhibited Progs had unknown resistance mechanisms, and these patients had a shorter progression-free survival than patients with MAPK re-activated Progs. There were no responses to subsequent targeted therapy, even when the identified mechanism of resistance was predicted to be responsive. Heterogeneity of resistance mechanisms was common between patients, within patients and within individual tumors. The MAPK pathway remained inhibited in a subset of resistant tumors with unknown mechanisms of resistance, and the outcomes of patients with these tumors are poor. The use of sequential targeted therapies based on the molecular characteristics of a single progressing biopsy is unlikely to provide improved clinical outcomes.

ORGANISM(S): Homo sapiens

PROVIDER: GSE50509 | GEO | 2014/02/19

SECONDARY ACCESSION(S): PRJNA218009

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Fifty percent of cutaneous melanomas are driven by activated BRAFV600E, but tumors treated with RAF inhibitors, even when they respond dramatically, rapidly adapt and develop resistance. Thus, there is a pressing need to identify the major mechanisms of intrinsic and adaptive resistance and develop drug combinations that target these resistance mechanisms. In a combinatorial drug screen on a panel of 12 treatment-naïve BRAFV600E mutant melanoma cell lines of varying levels of resistance to MAPK pathway inhibition we identified the combination PLX4720, a targeted inhibitor of mutated BRaf, and lapatinib, an inhibitor of the ERBB family of receptor tyrosine kinases, as synergistically cytotoxic in the subset of cell lines that displayed the most resistance to PLX4720. To identify potential mechanisms of resistance to PLX4720 treatment and synergy with lapatinib treatment we performed a multi-platform functional genomics analysis to profile the genome as well as the transcriptional and proteomic responses of these cell lines to treatment with PLX4720. We found modest levels of resistance correlated with the zygosity of the BRAF V600E allele and RTK mutational status. Layered over base-line resistance was substantial upregulation of many ERBB pathway genes in response to BRaf inhibition, thus generating the vulnerability to combination with lapatinib. The transcriptional responses of ERBB pathway genes are associated with a number of transcription factors, including ETS2 and its associated cofactors that represent a convergent regulatory mechanism conferring synergistic drug susceptibility in the context of diverse mutational landscapes. 12 BRAF mutant melanomas and 4 melanomas with WT BRAF were exposed plx4720 treatment to evaluate their responses after 8 hours of treatment. 5 of the 12 BRAF mutant melanomas responses were also evaluated in response to the treatment of lapatinib alone, masitinib alone, the combination of lapatinib with plx4720, or the combination of masitinib with plx4720. All samples were run in at least triplicate.

Dataset Information

Spectrum, clinical correlates and clinical implications of BRAF-inhibitor resistance mechanisms in melanoma

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets