Abstract 2854
Background
Uveal melanoma (UM) is the most common intraocular malignancy. The disease is clinically and genetically distinct from cutaneous melanoma and shows a high rate of metastatic spread. As randomized clinical trials with immune checkpoint inhibitors (ICI) have not been performed in metastatic UM patients, we analysed the real-world outcomes in a nationwide population-based study.
Methods
Clinical data on patients with UM were extracted from the Danish Metastatic Melanoma database, a nationwide database containing unselected records of all Danish patients with metastatic melanoma. Diagnosis of primary UM was confirmed via the Copenhagen Epidemiological Uveal Melanoma Study database. Survival before (2011-2013, pre-ICI; n = 32) and after (2014-2018, post-ICI; n = 94) the approval of first-line treatment with ICI was analysed.
Results
Treatment and survival data were available from 126 metastatic UM patients. First-line treatment consisted of temozolomide in 28, ipilimumab in 24, pembrolizumab in 43 and the combination ipilimumab/nivolumab in 19 patients. Twelve patients did not receive any systemic treatment. No complete responses were observed. A partial response was observed in 7.0% of patients treated with pembrolizumab and in 21.1% treated with ipilimumab plus nivolumab. Median progression-free survival was 2.5 months for patients treated in the pre-ICI era compared to 3.7 months in the post-ICI era (HR 0.37; 95 CI 0.24-0.59; p < 0.01). The estimated 1-year overall survival rate increased from 25.0% to 41.9% and the median overall survival improved from 7.8 months to 10.0 months, respectively (HR 0.52; 95 CI 0.34-0.80; p < 0.01).
Conclusions
The introduction of ICI as first-line treatment appears to have significantly improved the real-world survival of patients with metastatic UM, despite relatively low response rates. With the lack of therapies proven effective in randomized trials, these data support the current treatment with ICI in patients with metastatic UM.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Danish Melanoma Oncology Group.
Funding
The Danish Metastatic Melanoma database is supported by BMS, Roche, MSD and Novartis. K.F. Bol has received funding from the European Union (Marie Sklodowska-Curie grant).
Disclosure
K.F. Bol: Travel / Accommodation / Expenses: Roche. E. Ellebaek: Honoraria (self): BMS; Honoraria (self): Roche; Honoraria (self): Kyowa Kirin. M. Donia: Honoraria (self): BMS; Honoraria (self): Sanofi-Genzyme; Honoraria (self): MSD; Honoraria (self): AstraZeneca; Honoraria (self): Roche; Honoraria (self): Novartis. H. Schmidt: Honoraria (self), Advisory / Consultancy, Research grant / Funding (self): MSD; Honoraria (self), Advisory / Consultancy: Incyte; Honoraria (self), Advisory / Consultancy: BMS; Honoraria (self), Advisory / Consultancy: Novartis. L. Bastholt: Advisory / Consultancy: MSD; Advisory / Consultancy: Incyte; Advisory / Consultancy: BMS; Advisory / Consultancy: Roche; Advisory / Consultancy: Eisai; Advisory / Consultancy: Novartis; Advisory / Consultancy: AstraZeneca; Advisory / Consultancy: Bayer; Advisory / Consultancy: Amgen; Advisory / Consultancy: Swedish Orphan. I. Svane: Honoraria (self), Advisory / Consultancy, Research grant / Funding (self): Roche; Honoraria (self), Advisory / Consultancy, Research grant / Funding (self): Novartis; Honoraria (self), Advisory / Consultancy: MSD; Honoraria (self), Advisory / Consultancy: Celgene; Honoraria (self), Advisory / Consultancy, Research grant / Funding (self): Incyte; Honoraria (self), Advisory / Consultancy: TILT Bio; Honoraria (self), Advisory / Consultancy: Pfizer; Honoraria (self), Advisory / Consultancy, Research grant / Funding (self): BMS; Honoraria (self), Advisory / Consultancy: AstraZeneca; Honoraria (self), Advisory / Consultancy, Shareholder / Stockholder / Stock options: IO Biotech. All other authors have declared no conflicts of interest.
Resources from the same session
4543 - Long-term real-world (RW) outcomes in patients with advanced melanoma (MEL) treated with ipilimumab (IPI) and non-IPI therapies: IMAGE study
Presenter: Stéphane Dalle
Session: Poster Display session 3
Resources:
Abstract
4523 - Prognostic Factors for efficacy of Ipilimumab used after AntiPD1 and/or BRAF+MEK inhibitors in Melanoma Patients: an Italian Melanoma Intergroup study
Presenter: Riccardo Marconcini
Session: Poster Display session 3
Resources:
Abstract
3632 - Rechallenge with combination ipilimumab and anti-PD-1 (IPI+PD1) in metastatic melanoma after acquired resistance to IPI+PD1 immunotherapy
Presenter: Adriana Hepner
Session: Poster Display session 3
Resources:
Abstract
3732 - Clinicopathologic characteristics of immune colitis in melanoma patients treated with combination ipilimumab and anti-PD1 (IPI+PD1) and PD1 monotherapy.
Presenter: Kazi Nahar
Session: Poster Display session 3
Resources:
Abstract
5005 - Real-world outcomes of ipilimumab plus nivolumab for advanced melanoma in the Netherlands
Presenter: Michiel van Zeijl
Session: Poster Display session 3
Resources:
Abstract
5524 - Utilization of Real-World Data to Assess the Effectiveness of Immune Checkpoint Inhibitors (ICIs) in Elderly Patients with Metastatic Melanoma
Presenter: D Scott Ernst
Session: Poster Display session 3
Resources:
Abstract
5884 - Tumor mutational burden and response to PD-1 inhibitors: an analysis of 89 cases of metastatic melanoma.
Presenter: Léa Dousset
Session: Poster Display session 3
Resources:
Abstract
3120 - Increase in S100B and LDH as early outcome predictors for non-responsiveness to anti-PD-1 monotherapy in advanced melanoma.
Presenter: Elisa Rozeman
Session: Poster Display session 3
Resources:
Abstract
2157 - Immune status defined by molecular information layers predicts response to pembrolizumab treatment in advanced melanoma
Presenter: Guillermo Prado-Vázquez
Session: Poster Display session 3
Resources:
Abstract
2553 - Interim analysis of a phase Ib study of cobimetinib plus atezolizumab in patients with advanced BRAFV600 wild type melanoma progressing on prior anti-PD-L1 therapy
Presenter: Shahneen Sandhu
Session: Poster Display session 3
Resources:
Abstract