IMMU-24. A COMPREHENSIVE IN SILICO APPROACH TO DISCOVERING TUMOR REJECTION ANTIGENS IN MALIGNANT BRAIN TUMORS

摘要

Proteins that can serve as effective tumor rejection antigens within brain tumors are poorly characterized. Current prediction algorithms relying on identification of mutated epitopes as neoantigens are limited in low mutational burden tumors. We have developed a multi-faceted computer algorighm for identifying tumor rejection antigens called the Open Reading Frame Antigen Network (ORAN). This pipeline provides a comprehensive solution for predicting brain tumor immunogenic targetable epitopes/transcripts.