Therapeutic Implications of Detecting MAPK-Activating Alterations in Cutaneous and Unknown Primary Melanomas

Alexander N. Shoushtari(Memorial Sloan Kettering Cancer Center), Walid K. Chatila(Memorial Sloan Kettering Cancer Center), Arshi Arora(Memorial Sloan Kettering Cancer Center), Francisco Sánchez-Vega(Memorial Sloan Kettering Cancer Center), Havish S. Kantheti(Memorial Sloan Kettering Cancer Center), Jorge A. Rojas Zamalloa(Memorial Sloan Kettering Cancer Center), Penina Krieger(Memorial Sloan Kettering Cancer Center), Margaret K. Callahan(Memorial Sloan Kettering Cancer Center), Allison Betof Warner(Memorial Sloan Kettering Cancer Center), Michael A. Postow(Memorial Sloan Kettering Cancer Center), Parisa Momtaz(Memorial Sloan Kettering Cancer Center), Suresh Nair(Lehigh University), Charlotte E. Ariyan(Memorial Sloan Kettering Cancer Center), Christopher A. Barker(Memorial Sloan Kettering Cancer Center), Mary S. Brady(Memorial Sloan Kettering Cancer Center), Daniel G. Coit(Memorial Sloan Kettering Cancer Center), Neal Rosen(Memorial Sloan Kettering Cancer Center), Paul B. Chapman(Memorial Sloan Kettering Cancer Center), Klaus J. Busam(Memorial Sloan Kettering Cancer Center), David B. Solit(Memorial Sloan Kettering Cancer Center), Katherine S. Panageas(Memorial Sloan Kettering Cancer Center), Jedd D. Wolchok(Memorial Sloan Kettering Cancer Center), Nikolaus Schultz(Memorial Sloan Kettering Cancer Center)
Clinical Cancer Research
January 28, 2021
Cited by 52Open Access
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Abstract

Abstract Purpose: Cutaneous and unknown primary melanomas frequently harbor alterations that activate the MAPK pathway. Whether MAPK driver detection beyond BRAF V600 is clinically relevant in the checkpoint inhibitor era is unknown. Experimental Design: Patients with melanoma were prospectively offered tumor sequencing of 341–468 genes. Oncogenic alterations in 28 RTK-RAS-MAPK pathway genes were used to construct MAPK driver groups. Time to treatment failure (TTF) was determined for patients who received first-line programmed cell death protein 1 (PD-1) monotherapy, nivolumab plus ipilimumab, or subsequent genomically matched targeted therapies. A Cox proportional hazards model was constructed for TTF using driver group and clinical variables. Results: A total of 670 of 696 sequenced melanomas (96%) harbored an oncogenic RTK-RAS-MAPK pathway alteration; 33% had ≥1 driver. Nine driver groups varied by clinical presentation and mutational burden. TTF of PD-1 monotherapy (N = 181) varied by driver, with worse outcomes for NRAS Q61 and BRAF V600 versus NF1 or other alterations (median 4.2, 7.5, 22, and not reached; P < 0.0001). Driver group remained significant, independent of tumor mutational burden and clinical features. TTF did not vary by driver for nivolumab plus ipilimumab (N = 141). Among 172 patients with BRAF V600 wild-type melanoma who progressed on checkpoint blockade, 27 were treated with genomically matched therapy, and eight (30%) derived clinical benefit lasting ≥6 months. Conclusions: Targeted capture multigene sequencing can detect oncogenic RTK-RAS-MAPK pathway alterations in almost all cutaneous and unknown primary melanomas. TTF of PD-1 monotherapy varies by mechanism of ERK activation. Oncogenic kinase fusions can be successfully targeted in immune checkpoint inhibitor–refractory melanoma.


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