BRAF inhibitors can extend progression‐free and overall survival in melanoma patients whose tumors harbor mutations in BRAF.,However, the majority of patients eventually develop resistance to these drugs.,Here we show that BRAF mutant melanoma cells that have developed acquired resistance to BRAF inhibitors display increased oxidative metabolism and increased dependency on mitochondria for survival.,Intriguingly, the increased oxidative metabolism is associated with a switch from glucose to glutamine metabolism and an increased dependence on glutamine over glucose for proliferation.,We show that the resistant cells are more sensitive to mitochondrial poisons and to inhibitors of glutaminolysis, suggesting that targeting specific metabolic pathways may offer exciting therapeutic opportunities to treat resistant tumors, or to delay emergence of resistance in the first‐line setting.,We examine the metabolic requirements in melanoma cell lines resistant to BRAF inhibitor PLX4720.,Cells that are resistant to BRAF inhibitors are more dependent on glutamine than glucose as their carbon source.Combined glutaminolysis and BRAF inhibition was effective to promote a delay in the onset of resistance.,We examine the metabolic requirements in melanoma cell lines resistant to BRAF inhibitor PLX4720.,Cells that are resistant to BRAF inhibitors are more dependent on glutamine than glucose as their carbon source.,Combined glutaminolysis and BRAF inhibition was effective to promote a delay in the onset of resistance.
Thirteen common susceptibility loci have been reproducibly associated with cutaneous malignant melanoma (CMM).,We report the results of an international two-stage meta-analysis of 11 genome-wide association studies (GWAS, five unpublished) of CMM and Stage two datasets, totaling 15,990 cases and 26,409 controls.,Five loci not previously associated with CMM risk reached genome-wide significance (P < 5×10−8) as did two previously-reported but un-replicated loci and all thirteen established loci.,Novel SNPs fall within putative melanocyte regulatory elements, and bioinformatic and eQTL data highlight candidate genes including one involved in telomere biology.