Management of heterogeneous tumor response patterns to immunotherapy in patients with metastatic melanoma.
Melanoma Res 2022;
32:45-54. [PMID:
34725314 DOI:
10.1097/cmr.0000000000000794]
[Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Immunotherapy has revolutionized the treatment of metastatic melanoma. Response to therapy can be complex to evaluate, as Response Evaluation Criteria in Solid Tumor (RECIST) does not capture heterogeneous responses. In this retrospective single-institution analysis, we describe the management, clinicopathological characteristics, RECIST and disease course of metastatic melanoma patients with a heterogeneous response to first-line anti-CLTA-4 and/or anti-PD-1 between September 2011 and September 2020. In 196 patients, 37 had a heterogeneous response to immunotherapy (19%). Distinct identified responses included a mixed response (MR) (15%), pseudoprogressive disease (PP) (3%), and a sarcoid-like reaction (2%). Patients with a MR and possibly no response to therapy (MR-NR) had a higher median lactic acid dehydrogenase (LDH) (P = 0.01), were more often male (P = 0.04), had more involved disease sites (P = 0.01), and had brain metastasis more frequently (P = 0.02). MR patients with later response to therapy (MR-R) and PP patients had a longer overall survival of 1.7 [95% confidence interval (CI), 1.1-2.7] and 1.6 years (95% CI, 1.3-2.0) versus MR-NR 1.2 (0.7-1.7) (P < 0.01). In this cohort study, we identified prognostic clinical characteristics that can contribute to clinical decision-making for patients with a MR. Additionally, patients with pseudoprogression had benefited from therapy continuation, suggesting the importance of not halting therapy early in case of suspected PP. The male sex, more involved disease sites, brain metastasis and had a higher median LDH were associated with a poor survival for patients with a MR, suggesting that these clinical variables could be used to predict whether a mixed responder will possibly respond to therapy.
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