Abstract 4370
Background
In the multi-center investigator-initiated OpACIN-neo trial, patients (pts) with macroscopic stage III melanoma were randomized (stratified by center) to 3 different dosing schemes of neoadjuvant (neoadj) IPI+NIVO. Two cycles IPI 1mg/kg + NIVO3 mg/kg was identified as the most favorable regimen with 20% grade 3-4 adverse events and a pathological response rate (pRR) of 77%. After a median follow-up (FU) of 8.3 months (mo) none (0/86) of the pts with a pathologic (path) response had relapsed, while 9/21 (43%) without a path response relapsed. Post-hoc analyses were conducted to investigate potential differences between pts treated in Europe (EU) and in Australia (AUS).
Methods
Baseline patient characteristics, safety and efficacy in terms of path response were evaluated in pts treated in EU (n = 48) and AUS (n = 38). Multivariate analyses were performed using logistic regression method. Median FU was 9.3mo for EU pts and 6.9mo for AUS pts.
Results
Baseline characteristics (AUS vs EU) differed in age (median 60 vs 53 year [yr], p = 0.017) and AUS pts were more likely to be male (65.8 vs 50.0%, p = 0.142) and have an unknown primary melanoma (36.8 vs 20.8%, p = 0.100); no difference in PD-L1 expression was observed. There was a trend to a higher pRR for AUS pts than for EU pts (84.2% vs 68.1%, OR 2.50, p = 0.092). pRR was also higher for pts >60 yr compared to £60 yr (91.2% vs 64.7%, OR 5.64, p = 0.010) and males vs females (83.7% vs 63.9%, OR 2.90, p = 0.041). Multivariate analysis including continent, age and gender showed an adjusted OR for path response of 1.85 (p = 0.289) for AUS vs EU pts, an OR of 4.89 (p = 0.021) for pts >60yrs vs £60yrs and an OR of 2.50 (p = 0.095) for males vs females. The frequency of high grade toxicity was the same in pts <60 compared to pts >60 yr (42.3% vs 32.4%, p = 0.353).
Conclusions
The continental difference in path response appears mostly driven by differences in age and gender. It remains to be elucidated whether the higher pRRs in elderly pts and pts from AUS can be explained by differences in mutational burden (analysis in progress and will be presented). Our data also indicate that neoadj IPI+NIVO is safe and highly effective in the elderly.
Clinical trial identification
NCT02977052.
Editorial acknowledgement
Legal entity responsible for the study
Netherlands Cancer Institute.
Funding
BMS.
Disclosure
E.A. Rozeman: Travel / Accommodation / Expenses: MSD; Travel / Accommodation / Expenses: NanoString. A.M. Menzies: Advisory / Consultancy: BMS; Advisory / Consultancy: MSD; Advisory / Consultancy: Roche; Advisory / Consultancy: Novartis; Advisory / Consultancy: Pierre Fabre. R.A. Scolyer: Advisory / Consultancy: MSD; Advisory / Consultancy: Neracare; Advisory / Consultancy: Novartis. A.C.J. van Akkooi: Advisory / Consultancy, Research grant / Funding (institution): Amgen; Advisory / Consultancy, Research grant / Funding (institution): BMS; Advisory / Consultancy, Research grant / Funding (institution): Novartis; Advisory / Consultancy: Merck MSD; Advisory / Consultancy: Merck-Pfizer; Advisory / Consultancy: 4SC. J. Hansson: Advisory / Consultancy: BMS; Advisory / Consultancy: MSD; Advisory / Consultancy: Novartis. G.V. Long: Advisory / Consultancy: Aduro; Advisory / Consultancy: Amgen; Advisory / Consultancy: BMS; Advisory / Consultancy: Merck MSD; Advisory / Consultancy: Mass-Array; Advisory / Consultancy: Novartis; Advisory / Consultancy: Pierre Fabre; Advisory / Consultancy: Roche. C.U. Blank: Advisory / Consultancy, Research grant / Funding (institution): BMS; Advisory / Consultancy: MSD; Advisory / Consultancy: Roche; Advisory / Consultancy, Research grant / Funding (institution): Novartis; Advisory / Consultancy: Lilly; Advisory / Consultancy: Pierre Fabre; Advisory / Consultancy: Pfizer; Advisory / Consultancy: GSK; Advisory / Consultancy: GenMab; Research grant / Funding (institution): NanoString. All other authors have declared no conflicts of interest.
Resources from the same session
4614 - Predictors of Response to Checkpoint Inhibitors in Naïve and Ipilimumab-Refractory Melanoma
Presenter: Domenico Mallardo
Session: Poster Display session 3
Resources:
Abstract
2901 - IFN-γ/IL-10 ratio as predictive biomarker for response to anti-PD-1 therapy in metastatic melanoma patients
Presenter: Emilio Giunta
Session: Poster Display session 3
Resources:
Abstract
2306 - Multiplex Chromogenic Immunohistochemistry (IHC) for Spatial Analysis of Checkpoint-Positive Tumor Infiltrating Lymphocytes (TILs)
Presenter: Scott Ely
Session: Poster Display session 3
Resources:
Abstract
1678 - The role of PD-L1 expression as a predictive biomarker in advanced renal cell carcinoma: a meta-analysis of randomized clinical trials.
Presenter: Alberto Carretero-Gonzalez
Session: Poster Display session 3
Resources:
Abstract
5138 - Radiomic Features as a Non-invasive Biomarker to Predict Response to Immunotherapy in Recurrent or Metastatic Urothelial Carcinoma
Presenter: Kye Jin Park
Session: Poster Display session 3
Resources:
Abstract
5800 - Integrative combination of high-plex digital profiling techniques and cluster analysis to reveal complex immune biology in the tumor microenvironment of mesothelioma
Presenter: Carmen Ballesteros-Merino
Session: Poster Display session 3
Resources:
Abstract
5736 - Predictive factors of response to immunotherapy in 198 patients with metastatic non-microcytic lung cancer (mNSCLC): real world data from 2 university hospitals in Spain
Presenter: Juan Felipe Cordoba Ortega
Session: Poster Display session 3
Resources:
Abstract
5645 - Evaluating Lung CT Density Changes Among Patients with Extensive Stage Small Cell Lung Cancer (ES-SCLC) Treated with Thoracic Radiotherapy (TRT) alone or TRT Followed by Combined Ipilimumab (IPI) and Nivolumab (NIVO).
Presenter: Kujtim Latifi
Session: Poster Display session 3
Resources:
Abstract
1540 - Immuno-oncology therapy biomarkers differences between polyoma-virus positive and negative Merkel cell carcinomas
Presenter: Zoran Gatalica
Session: Poster Display session 3
Resources:
Abstract
4538 - Can we improve patient selection for phase 1 clinical trials (Ph1) based on Immuno-Oncology score prognostic index (VIO)?
Presenter: Ignacio Matos Garcia
Session: Poster Display session 3
Resources:
Abstract