Abstract 1126P
Background
Head and neck mucosal melanoma (HNMM) is a rare clinical subtype of melanoma. The aim of this study was to compare survival following surgery-based treatment (S group) versus radiotherapy-based treatment (RT group) and to assess the efficacy of the addition of adjuvant immune checkpoint inhibitor (adj-ICI) after definitive treatment for locally advanced HNMM patients.
Methods
This was a multi-institutional retrospective study which enrolled patients treated for locally advanced HNMM patients between October 2014 and March 2022. Treatment efficacy was compared between the S and RT groups and between those with and without adj-ICI.
Results
Among 294 patients, 148 patients were in the S group and 146 in the RT group. In the RT group, 80 patients received proton RT and 43 received carbon ion RT. Patient characteristics between the S and RT groups were mostly similar, except for patients with nasal and paranasal sinus primary sites (77% in S group vs. 91% in RT group) and clinical-T4 stage disease (25% in S group vs. 51% in RT group). Overall, 29 in the S group and 43 in the RT group received adj-ICI. Among patients without adj-ICI, the S group tend to have longer progression-free survival (PFS) than the RT group (hazard ratio [HR] 1.34, 95% confidence interval [CI] 0.98-1.84). However, there was no significant difference in overall survival (OS) between the S and RT groups (HR 1.02, 95% CI 0.64-1.62). Patients with adj-ICI experienced significantly longer PFS than those without adj-ICI (HR 0.68, 95% CI 0.48-0.96) irrespective of definitive treatment (HR 0.65, 95% CI 0.37-1.13 in S group; HR 0.65, 95% CI 0.41-1.03 in RT group). However, OS did not significantly differ between those with and without adj-ICI (HR 0.96, 95% CI 0.59-1.56).
Conclusions
There were no significant differences in PFS and OS between the S and RT groups. Although the addition of adj-ICI yielded longer PFS in locally advanced HNMM patients, adj-ICI might not lead to a benefit in OS.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
National Cancer Center Research and Development Fund (2023-J-03) of Japan.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
1160P - Methods of nivolumab administration in advanced melanoma: A comparison of patients’ clinical outcomes treated with flat dose or weight-adjusted dose, FLATIMEL study
Presenter: Iona Campo le Brun
Session: Poster session 13
1161P - Therapeutic outcome of molecular profiling of melanoma patients resistant to standard treatment: Real-world data
Presenter: Madona SAKKAL
Session: Poster session 13
1162P - Prolonged exposure to proton pump inhibitors (PPI) at the time of initiation of immune checkpoint blockade (ICB) mediates better clinical outcomes in patients with metastatic melanoma
Presenter: Kyrillus Shohdy
Session: Poster session 13
1163P - CD39 affect the prognostic role of NLR via N2 neutrophils in metastatic melanoma patients treated with immunotherapy
Presenter: Domenico Mallardo
Session: Poster session 13
1164P - Changes of TCR repertoire in metastatic melanoma and renal cell carcinoma patients treated with nivolumab correlate with overall survival
Presenter: Martin Klabusay
Session: Poster session 13
1165P - Single cell spatial features of in-transit melanoma associated with patient outcome to immunotherapy
Presenter: Xinyu Bai
Session: Poster session 13
1166P - Multi-modal and longitudinal characterization of the tumor and immune microenvironment from primary melanoma to in-transit and distant metastasis
Presenter: Giuseppe Tarantino
Session: Poster session 13
1168P - Tumor PD-L1 predicts the outcome of PD-1-based immunotherapy in metastatic melanoma depending on the type of tissue examined
Presenter: Jan-Malte Placke
Session: Poster session 13
1169P - Tumour transcriptional and spatial protein profiling in Mexican patients reveals that acral lentiginous melanoma is characterized by an immunosuppressive microenvironment
Presenter: Martha Estefania Vázquez-Cruz
Session: Poster session 13
1170P - Survival outcome prediction of primary melanoma tumours from histology images using deep learning
Presenter: Céline Bossard
Session: Poster session 13