Genetic alterations that activate the mitogen-activated protein kinase (MAP kinase) pathway occur commonly in cancer. For example, the majority of melanomas harbor mutations in the BRAF oncogene, which are predicted to confer enhanced sensitivity to pharmacologic MAP kinase inhibition (e.g., RAF or MEK inhibitors). We investigated the clinical relevance of MEK dependency in melanoma by massively parallel sequencing of resistant clones generated from a MEK1 random mutagenesis screen in vitro, as well as tumors obtained from relapsed patients following treatment with AZD6244, an allosteric MEK inhibitor. Most mutations conferring resistance to MEK inhibition in vitro populated the allosteric drug binding pocket or ␣-helix C and showed robust (Ϸ100-fold) resistance to allosteric MEK inhibition. Other mutations affected MEK1 codons located within or abutting the Nterminal negative regulatory helix (helix A), which also undergo gain-of-function germline mutations in cardio-facio-cutaneous (CFC) syndrome. One such mutation, MEK1(P124L), was identified in a resistant metastatic focus that emerged in a melanoma patient treated with AZD6244. Both MEK1(P124L) and MEK1(Q56P), which disrupts helix A, conferred cross-resistance to PLX4720, a selective B-RAF inhibitor. However, exposing BRAF-mutant melanoma cells to AZD6244 and PLX4720 in combination prevented emergence of resistant clones. These results affirm the importance of MEK dependency in BRAF-mutant melanoma and suggest novel mechanisms of resistance to MEK and B-RAF inhibitors that may have important clinical implications.BRAF ͉ drug resistance ͉ MAP kinase ͉ melanoma A pproximately one-third of all cancers harbor genetic alterations that aberrantly upregulate mitogen-activated protein kinase (MAPK)-dependent signal transduction (1). In the MAPK pathway, RAS oncoproteins activate RAF, MEK, and ERK kinases to direct key cell proliferative and survival signals. When rendered constitutively active by genetic mutation, the MAP kinase pathway is believed to confer ''oncogene dependency'' (2), an excessive reliance on its dysregulated activity for tumor viability. Therefore, protein kinases within this signaling cascade offer promising targets for novel anticancer therapeutics.In melanoma, uncontrolled MAP kinase pathway activity is nearly ubiquitous and occurs most commonly through gain-offunction mutations involving codon 600 of the B-RAF kinase (3) (BRAF V600E ; 50-70% of cases). Considerable preclinical evidence has associated the BRAF V600E mutation with heightened sensitivity to pharmacologic inhibition of RAF or MEK kinases (4, 5). Although early clinical trials of RAF and MEK inhibitors failed to show a substantial benefit (6, 7), recent phase I studies of selective RAF inhibitors have shown promising results in patients with BRAF-mutant tumors (8, 9). Thus, optimizing therapeutic efficacy while avoiding or bypassing the emergence of resistance to MAP kinase pathway inhibition will likely gain increasing importance in melanoma and other MAP kinasedriven cancers.He...

BackgroundDetection of critical cancer gene mutations in clinical tumor specimens may predict patient outcomes and inform treatment options; however, high-throughput mutation profiling remains underdeveloped as a diagnostic approach. We report the implementation of a genotyping and validation algorithm that enables robust tumor mutation profiling in the clinical setting.MethodologyWe developed and implemented an optimized mutation profiling platform (“OncoMap”) to interrogate ∼400 mutations in 33 known oncogenes and tumor suppressors, many of which are known to predict response or resistance to targeted therapies. The performance of OncoMap was analyzed using DNA derived from both frozen and FFPE clinical material in a diverse set of cancer types. A subsequent in-depth analysis was conducted on histologically and clinically annotated pediatric gliomas. The sensitivity and specificity of OncoMap were 93.8% and 100% in fresh frozen tissue; and 89.3% and 99.4% in FFPE-derived DNA. We detected known mutations at the expected frequencies in common cancers, as well as novel mutations in adult and pediatric cancers that are likely to predict heightened response or resistance to existing or developmental cancer therapies. OncoMap profiles also support a new molecular stratification of pediatric low-grade gliomas based on BRAF mutations that may have immediate clinical impact.ConclusionsOur results demonstrate the clinical feasibility of high-throughput mutation profiling to query a large panel of “actionable” cancer gene mutations. In the future, this type of approach may be incorporated into both cancer epidemiologic studies and clinical decision making to specify the use of many targeted anticancer agents.

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