MBD4 deficiency is predictive of response to immune checkpoint inhibitors in metastatic uveal melanoma patients

Background: MBD4 mutations have been reported in uveal melanomas, acute myeloid leukemias, colorectal adenocarcinomas, gliomas, and spiradenocarcinomas and cause a hypermutated phenotype. Although metastatic uveal melanomas (mUM) are usually resistant to immune checkpoint inhibitors (ICI), the first reported MBD4-mutated (MBD4m) patient responded to ICI, suggesting that MBD4 mutation may predict response to ICI. Methods: Retrospective cohort of mUM patients treated with ICI. MBD4 was sequenced in a subset of these patients. Results: Three hundred mUM patients were included. Median follow-up was 17.3 months. Ten patients with an objective response and 20 cases with stable disease for >12 months were observed, corresponding to an objective response rate of 3.3% and a clinical benefit (i.e., responder patients and stable disease) rate of 10%. Of the 131 tumors sequenced for MBD4, five (3.8%) were mutated. MBD4 mutation was associated with a better objective response rate as three out of five MBD4m versus 4% of MBD4 wild-type patients responded (p < 0.001). Of these five responders, three presented progressive disease at 2.8, 13.9, and 22.3 months. Median PFS was 4.0 months in MBD4 wild-type and 22.3 months in MBD4m patients (HR = 0.22; p = 0.01). Median OS in MBD4def patients was unreached as compared to 16.6 months in MBD4pro (HR = 0.11; 95% CI: 0.02-0.86; log-rank p-test = 0.04; Fig. 2e). Conclusions: In mUM patients, MBD4 mutation is highly predictive for the response, PFS, and overall survival benefit to ICI. MBD4 could be a tissue-agnostic biomarker and should be sequenced in mUM, and other tumor types where MBD4 mutations are reported. (C) 2022 Elsevier Ltd. All rights reserved.

Automated summary

In patients with metastatic uveal melanomas, MBD4 mutations are associated with response to immune checkpoint inhibitors, progression-free survival, and overall survival benefits. MBD4 could serve as a predictive biomarker for the efficacy of ICI treatment.