The heterogeneous behavior of patients with melanoma makes prognostication challenging.,To address this, a gene expression profile (GEP) test to predict metastatic risk was previously developed.,This study evaluates the GEP’s prognostic accuracy in an independent cohort of cutaneous melanoma patients.,This multi-center study analyzed primary melanoma tumors from 523 patients, using the GEP to classify patients as Class 1 (low risk) and Class 2 (high risk).,Molecular classification was correlated to clinical outcome and assessed along with AJCC v7 staging criteria.,Primary endpoints were recurrence-free (RFS) and distant metastasis-free (DMFS) survival.,The 5-year RFS rates for Class 1 and Class 2 were 88% and 52%, respectively, and DMFS rates were 93% versus 60%, respectively (P < 0.001).,The GEP was a significant predictor of RFS and DMFS in univariate analysis (hazard ratio [HR] = 5.4 and 6.6, respectively, P < 0.001 for each), along with Breslow thickness, ulceration, mitotic rate, and sentinel lymph node (SLN) status (P < 0.001 for each).,GEP, tumor thickness and SLN status were significant predictors of RFS and DMFS in a multivariate model that also included ulceration and mitotic rate (RFS HR = 2.1, 1.2, and 2.5, respectively, P < 0.001 for each; and DMFS HR = 2.7, 1.3 and 3.0, respectively, P < 0.01 for each).,The GEP test is an objective predictor of metastatic risk and provides additional independent prognostic information to traditional staging to help estimate an individual’s risk for recurrence.,The assay identified 70% of stage I and II patients who ultimately developed distant metastasis.,Its role in consideration of patients for adjuvant therapy should be examined prospectively.,The online version of this article (10.1186/s12885-018-4016-3) contains supplementary material, which is available to authorized users.
Treatment of advanced melanoma has been improved with the advent of the BRAF inhibitors.,However, a limitation to such treatment is the occurrence of resistance.,Several mechanisms have been identified to be responsible for the development of resistance, either MEK-dependent or MEK-independent.,In order to overcome resistance due to reactivation of MEK signaling, MEK inhibitors are being clinically developed with promising results.,However, also in this case resistance inevitably occurs.,It has been recently reported that ErbB3, a member of the EGFR receptor family, may be involved in the establishment of drug resistance.,Three melanoma cell lines were tested: LOX IMVI (BRAF V600E), MST-L (BRAF V600R) and WM266 (BRAF V600D).,Phosphorylation of Receptor Tyrosine Kinases (RTKs) was assessed by an RTK array.,Western blot analysis was performed on total protein extracts using anti-ErbB3, anti-AKT and anti-ERK 1/2 antibodies.,The expression of neuregulin after vemurafenib treatment was assessed by Real Time PCR and Western blotting.,The growth inhibitory effects of vemurafenib, GSK1120212b and/or anti-ErbB3 mAbs were evaluated by in vitro colony formation assays.,In the present study we demonstrate that ErbB3 is the main RTK undergoing rapidly hyperphosphorylation upon either treatment with a BRAF inhibitor or with a MEK inhibitor in a panel of melanoma cell lines harboring a variety of V600BRAF mutations and that this results in a strong activation of phospho-AKT.,Importantly, ErbB3 activation is fully abrogated by the simultaneous use of anti-ErbB3 monoclonal antibodies, which are also shown to potently synergize with BRAF inhibitors in the inactivation of both AKT and ERK pathways and in the inhibition of melanoma cell growth.,We show that upregulation of phospho-ErbB3 is due to an autocrine loop involving increased transcription and production of neuregulin by melanoma cells.,On the basis of these results, we propose that initial co-treatment with BRAF and/or MEK inhibitors and anti-ErbB3 antibodies should be pursued as a strategy to reduce the ErbB3-dependent feedback survival mechanism and enhance duration of clinical response.