Background: BRAF/MEK inhibitors have improved the outcome in metastatic melanoma (MM) patients harboring a BRAF mutation, but no biomarker predictive of response has been identified. Methods: We conducted a retrospective analysis on 264 MM patients that had received first-line targeted therapy with BRAF/MEK inhibitors. Next-generation sequencing (NGS) was performed on tissue biopsies, and samples with > 30% tumor cellularity were included in the study. The impact of BRAF variant allele frequency (BRAF-VAF) on clinical treatment outcomes was analyzed. Results: BRAF-VAF was dichotomized using two approaches. (1) The "surv_cutpoint" function identified two different cut-off for progression-free survival (PFS: 44.05%) and overall survival (OS:45.1%). Patients with BRAF-VAF > 44.05% showed a significantly lower PFS (median PFS: 10 months, 95% CI: 7-13 months), compared to patients with BRAF-VAF < 44.05% (median PFS: 13 months, 95% CI: 12-21 months). Moreover, patients with higher VAF (> 45.1%) experienced a lower OS (median OS: 26 months, 95% CI: 19-38 months), compared with patients with VAF < 45.1% (median OS: 29 months, 95% CI: 29-51 months). (2) The ROC analysis significantly predicted PFS but not OS. BRAF-VAF normalized with neoplastic cellularity (nVAF) showed a strong association with both PFS, and OS compared to BRAF-VAF alone. nVAF also emerged as an independent predictor for PFS in the multivariate analysis (HR: 3.88, 95% CI: 1.84-8.20), with a higher nVAF score associated with a 3.88-fold increased risk of progression. Conclusions: Our study demonstrated the role of the BRAF-VAF as predictor of response in MM patients treated with BRAF/MEK inhibitors. Moreover, VAF normalization predicts PFS better than BRAF-VAF alone.
High BRAF variant allele frequency predicts poor outcomes in metastatic melanoma patients treated with BRAF/MEK inhibitors
Romano, Luca;Perrone, Fabiana;Tucci, Marco;Strippoli, Sabino
2025-01-01
Abstract
Background: BRAF/MEK inhibitors have improved the outcome in metastatic melanoma (MM) patients harboring a BRAF mutation, but no biomarker predictive of response has been identified. Methods: We conducted a retrospective analysis on 264 MM patients that had received first-line targeted therapy with BRAF/MEK inhibitors. Next-generation sequencing (NGS) was performed on tissue biopsies, and samples with > 30% tumor cellularity were included in the study. The impact of BRAF variant allele frequency (BRAF-VAF) on clinical treatment outcomes was analyzed. Results: BRAF-VAF was dichotomized using two approaches. (1) The "surv_cutpoint" function identified two different cut-off for progression-free survival (PFS: 44.05%) and overall survival (OS:45.1%). Patients with BRAF-VAF > 44.05% showed a significantly lower PFS (median PFS: 10 months, 95% CI: 7-13 months), compared to patients with BRAF-VAF < 44.05% (median PFS: 13 months, 95% CI: 12-21 months). Moreover, patients with higher VAF (> 45.1%) experienced a lower OS (median OS: 26 months, 95% CI: 19-38 months), compared with patients with VAF < 45.1% (median OS: 29 months, 95% CI: 29-51 months). (2) The ROC analysis significantly predicted PFS but not OS. BRAF-VAF normalized with neoplastic cellularity (nVAF) showed a strong association with both PFS, and OS compared to BRAF-VAF alone. nVAF also emerged as an independent predictor for PFS in the multivariate analysis (HR: 3.88, 95% CI: 1.84-8.20), with a higher nVAF score associated with a 3.88-fold increased risk of progression. Conclusions: Our study demonstrated the role of the BRAF-VAF as predictor of response in MM patients treated with BRAF/MEK inhibitors. Moreover, VAF normalization predicts PFS better than BRAF-VAF alone.| File | Dimensione | Formato | |
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