Driver mutations in and genes as potential targets for precision immunotherapy in uveal melanoma patients.

Sandra García-Mulero, Roberto Fornelino, Marco Punta, Stefano Lise, Mar Varela, Luis P Del Carpio, Rafael Moreno, Marcel Costa-García, Dietmar Rieder, Zlatko Trajanoski, Alena Gros, Ramón Alemany, Josep María Piulats, Rebeca Sanz-Pamplona

Journal: Oncoimmunology 2023;12(1):2261278

PMID: 38126027

Abstract

Uveal melanoma (UM) is the most common ocular malignancy in adults. Nearly 95% of UM patients carry the mutually exclusive mutations in the homologous genes (amino acid change Q209L/Q209P) and (aminoacid change Q209L). UM is located in an immunosuppressed organ and does not suffer immunoediting. Therefore, we hypothesize that driver mutations in genes could be recognized by the immune system. Genomic and transcriptomic data from primary uveal tumors were collected from the TCGA-UM dataset ( = 80) and used to assess the immunogenic potential for GNAQ/GNA11 Q209L/Q209P mutations using a variety of tools and HLA type information. All prediction tools showed stronger GNAQ/11 Q209L binding to HLA than GNAQ/11 Q209P. The immunogenicity analysis revealed that Q209L is likely to be presented by more than 73% of individuals in 1000 G databases whereas Q209P is only predicted to be presented in 24% of individuals. GNAQ/11 Q209L showed a higher likelihood to be presented by HLA-I molecules than almost all driver mutations analyzed. Finally, samples carrying Q209L had a higher immune-reactive phenotype. Regarding cancer risk, seven HLA genotypes with low Q209L affinity show higher frequency in uveal melanoma patients than in the general population. However, no clear association was found between any HLA genotype and survival. Results suggest a high potential immunogenicity of the GNAQ/11 Q209L variant that could allow the generation of novel therapeutic tools to treat UM like neoantigen vaccinations.

© 2023 IDIBELL. Published with license by Taylor & Francis Group, LLC.

Address: Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), Oncobell Program, Bellvitge Biomedical Research Institute (IDIBELL) and CIBERESP, Barcelona, Spain.; Anatomy Unit, Department of Pathology and Experimental Therapy, and Department of Clinical Sciences, Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain.; Bioinformatics Core, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.; Department of Pathology, Bellvitge University Hospital, Barcelona, Spain.; Procure Program, Catalan Institute of Oncology (ICO), Oncobell Program, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain.; Institute of Bioinformatics, Biocenter, Medical University of Innsbruck, Innsbruck, Austria.; Tumor Immunology and Immunotherapy, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain.; Department of Medical Oncology, ICO, IDIBELL and CIBERONC, Barcelona, Spain.; Institute for Health Research Aragon (IISA), ARAID Foundation, Aragon Government, University Hospital Lozano Blesa, Zaragoza, Spain.
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