Literature DB >> 33128316

The impact of BRAF mutation status on clinical outcomes with anti-PD-1 monotherapy versus combination ipilimumab/nivolumab in treatment-naïve advanced stage melanoma.

Vincent T Ma1, Stephanie Daignault-Newton2, Jessica J Waninger3,4, Sara Journey4, Zoey Chopra4, Alangoya Tezel4, Bruce G Redman1, Leslie A Fecher1, Michael D Green5, Ajjai S Alva1, Christopher D Lao1.   

Abstract

Nearly half of all metastatic melanoma patients possess the BRAF V600 mutation. Several therapies are approved for advanced stage melanoma, but it is unclear if there is a differential outcome to various immunotherapy regimens based on BRAF mutation status. We retrospectively analyzed a cohort of metastatic or unresectable melanoma patients who were treated with combination ipilimumab/nivolumab (ipi/nivo) or anti-PD-1 monotherapy, nivolumab, or pembrolizumab, as first-line treatment. 235 previously untreated patients were identified in our study. Our univariate analysis showed no statistical difference in progression-free survival (PFS) or overall survival (OS) with ipi/nivo versus anti-PD-1 monotherapy in the BRAF V600 mutant cohort, but there was improved PFS [HR: 0.48, 95% CI, 0.28-0.80] and OS [HR: 0.50, 95% CI, 0.26-0.96] with ipi/nivo compared to anti-PD-1 monotherapy in the BRAF WT group. After adjusting for known prognostic variables in our multivariable analysis, the BRAF WT cohort continued to show PFS and OS benefit with ipi/nivo compared to anti-PD-1 monotherapy. Our single-institution analysis suggests ipi/nivo should be considered over anti-PD-1 monotherapy as the initial immunotherapy regimen for metastatic melanoma patients regardless of BRAF mutation status, but possibly with greater benefit in BRAF WT.
© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

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Keywords:  BRAF mutation; anti-CTLA-4 inhibitor; anti-PD-1 inhibitor; immune checkpoint inhibitor; melanoma

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Year:  2020        PMID: 33128316     DOI: 10.1111/pcmr.12944

Source DB:  PubMed          Journal:  Pigment Cell Melanoma Res        ISSN: 1755-1471            Impact factor:   4.693


  1 in total

1.  Computational Model of Heterogeneity in Melanoma: Designing Therapies and Predicting Outcomes.

Authors:  Arran Hodgkinson; Dumitru Trucu; Matthieu Lacroix; Laurent Le Cam; Ovidiu Radulescu
Journal:  Front Oncol       Date:  2022-04-14       Impact factor: 5.738

  1 in total

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