- Brase, Jan C;
- Walter, Robert FH;
- Savchenko, Alexander;
- Gusenleitner, Daniel;
- Garrett, James;
- Schimming, Tobias;
- Varaljai, Renata;
- Castelletti, Deborah;
- Kim, Ju;
- Dakappagari, Naveen;
- Schultz, Ken;
- Robert, Caroline;
- Long, Georgina V;
- Nathan, Paul D;
- Ribas, Antoni;
- Flaherty, Keith T;
- Karaszewska, Boguslawa;
- Schachter, Jacob;
- Sucker, Antje;
- Schmid, Kurt W;
- Zimmer, Lisa;
- Livingstone, Elisabeth;
- Gasal, Eduard;
- Schadendorf, Dirk;
- Roesch, Alexander
Purpose
Although patients with unresectable or metastatic melanoma can experience long-term survival with BRAF- and MEK-targeted agents or immune checkpoint inhibitors over 5 years, resistance develops in most patients. There is a distinct lack of pretherapeutic biomarkers to identify which patients are likely to benefit from each therapy type. Most research has focused on the predictive role of T cells in antitumor responses as opposed to B cells.Patients and methods
We conducted prespecified exploratory biomarker analysis using gene expression profiling and digital pathology in 146 patients with previously untreated BRAF V600-mutant metastatic melanoma from the randomized, phase III COMBI-v trial and treated with dabrafenib plus trametinib who had available tumor specimens from screening.Results
Baseline cell-cycle gene expression signature was associated with progression-free survival (P = 0.007). Patients with high T-cell/low B-cell gene signatures had improved median overall survival (not reached [95% confidence interval (CI), 33.8 months-not reached]) compared with patients with high T-cell/high B-cell signatures (19.1 months; 95% CI, 13.4-38.6 months). Patients with high B-cell signatures had high B-cell infiltration into the tumor compartment, corresponding with decreased MAPK activity and increased expression of immunosuppressive markers.Conclusions
B cells may serve as a potential biomarker to predict clinical outcome in patients with advanced melanoma treated with dabrafenib plus trametinib. As separate studies have shown an opposite effect for B-cell levels and response to immunotherapy, B cells may serve as a potential biomarker to facilitate treatment selection. Further validation in a larger patient cohort is needed.