High BRAF variant allele frequency predicts poor outcomes in metastatic melanoma patients treated with BRAF/MEK inhibitors

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.

Authors

Institutions

Publication Details

Journal
Journal of Translational Medicine
Published
2025-12-17
DOI
https://doi.org/10.1186/s12967-025-07434-x
Primary Topic
Melanoma and MAPK Pathways
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High BRAF variant allele frequency predicts poor outcomes in metastatic melanoma patients treated with BRAF/MEK inhibitors

Michele Del Vecchio, Alice Indini, Benedetta Apollonio, Stefania Pellegrini et al.
Journal of Translational Medicine
Melanoma and MAPK Pathways
article

High BRAF variant allele frequency predicts poor outcomes in metastatic melanoma patients treated with BRAF/MEK inhibitors

Michele Del Vecchio, Alice Indini, Benedetta Apollonio, Stefania Pellegrini, Marco Tucci, M. Lombardo, Elisa Melucci, Raffaele Conca, Enrica T. Tanda, Cristina Pellegrini, Rebecca Senetta, Maria Chiara Scaini, Maria Teresa Maccallini, Simona De Summa, Piergiorgio Di Tullio, Teresa Troiani, Elena Croce, Mary Macri, Michele Guida, Francesco Spagnolo, S. Brugnara, Livia Fucci, Pietro Quaglino, Fabiana Perrone, Paolo Fava, Roberta Depenni, Sabino Strippoli, Paola Queirolo, Salvatore Girlando, Iole Natalicchio, Alessandro Marco Minisini, Giuseppe Pugliese, Silvia Costabile, Teresa Squicciarini, Luca Romano, Rosamaria Pinto, Francesco Caraglia
article en

Abstract

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.

Journal of Translational MedicineVol. 23(1)
University of Foggia (IT), University of Parma (IT), University of Campania "Luigi Vanvitelli" (IT), University of L'Aquila (IT), University of Perugia (IT), Oncology Group of Southern Italy (IT), Ospedale Santa Chiara (IT), Centro di Riferimento Oncologico della Basilicata (IT), Azienda Ospedaliero-Universitaria di Modena (IT), Istituto Oncologico Veneto (IT), Ospedale Santa Maria della Misericordia di Udine (IT), Istituto Tumori Bari (IT), National Cancer Institute (MY), Ospedale Policlinico San Martino (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Fondazione IRCCS Istituto Nazionale dei Tumori (IT), Aziende Socio Sanitarie Territoriale dei Sette Laghi, University of Turin (IT), University of Bari Aldo Moro (IT), European Institute of Oncology (IT), University of Genoa (IT)
Ministero della Salute
Openalex Percentile: Top 63%
Melanoma and MAPK Pathways
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.