<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Guida M</submitter><funding>Ministero della Salute</funding><pagination>1407</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12713232</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>23(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>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.&lt;h4>Methods&lt;/h4>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.&lt;h4>Results&lt;/h4>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 &lt; 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 &lt; 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.&lt;h4>Conclusions&lt;/h4>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.</pubmed_abstract><journal>Journal of translational medicine</journal><pubmed_title>High BRAF variant allele frequency predicts poor outcomes in metastatic melanoma patients treated with BRAF/MEK inhibitors.</pubmed_title><pmcid>PMC12713232</pmcid><funding_grant_id>Ricerca Corrente 2025</funding_grant_id><pubmed_authors>Perrone F</pubmed_authors><pubmed_authors>Pinto R</pubmed_authors><pubmed_authors>Squicciarini T</pubmed_authors><pubmed_authors>Queirolo P</pubmed_authors><pubmed_authors>Pellegrini S</pubmed_authors><pubmed_authors>Strippoli S</pubmed_authors><pubmed_authors>Apollonio B</pubmed_authors><pubmed_authors>Croce E</pubmed_authors><pubmed_authors>Conca R</pubmed_authors><pubmed_authors>De Summa S</pubmed_authors><pubmed_authors>Pellegrini C</pubmed_authors><pubmed_authors>Melucci E</pubmed_authors><pubmed_authors>Lombardo M</pubmed_authors><pubmed_authors>Fucci L</pubmed_authors><pubmed_authors>Depenni R</pubmed_authors><pubmed_authors>Troiani T</pubmed_authors><pubmed_authors>Caraglia F</pubmed_authors><pubmed_authors>Romano L</pubmed_authors><pubmed_authors>Tucci M</pubmed_authors><pubmed_authors>Brugnara S</pubmed_authors><pubmed_authors>Vecchio MD</pubmed_authors><pubmed_authors>Di Tullio P</pubmed_authors><pubmed_authors>Indini A</pubmed_authors><pubmed_authors>Quaglino P</pubmed_authors><pubmed_authors>Scaini MC</pubmed_authors><pubmed_authors>Senetta R</pubmed_authors><pubmed_authors>Costabile S</pubmed_authors><pubmed_authors>Tanda E</pubmed_authors><pubmed_authors>Guida M</pubmed_authors><pubmed_authors>Natalicchio I</pubmed_authors><pubmed_authors>Spagnolo F</pubmed_authors><pubmed_authors>Italian Melanoma Intergroup (IMI)</pubmed_authors><pubmed_authors>Fava P</pubmed_authors><pubmed_authors>Maccallini MT</pubmed_authors><pubmed_authors>Minisini A</pubmed_authors><pubmed_authors>Pugliese G</pubmed_authors><pubmed_authors>Macri M</pubmed_authors><pubmed_authors>Girlando S</pubmed_authors></additional><is_claimable>false</is_claimable><name>High BRAF variant allele frequency predicts poor outcomes in metastatic melanoma patients treated with BRAF/MEK inhibitors.</name><description>&lt;h4>Background&lt;/h4>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.&lt;h4>Methods&lt;/h4>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.&lt;h4>Results&lt;/h4>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 &lt; 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 &lt; 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.&lt;h4>Conclusions&lt;/h4>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.</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Dec</publication><modification>2026-06-06T05:08:07.096Z</modification><creation>2026-05-26T03:12:12.668Z</creation></dates><accession>S-EPMC12713232</accession><cross_references><pubmed>41408295</pubmed><doi>10.1186/s12967-025-07434-x</doi></cross_references></HashMap>