Abstract 5114: Development of personalized RNA-based immunotherapeutics for glioblastom

Abstract Background: The development of successful immunotherapy targeting antigens in glioblastoma multiforme (GBM) remains a challenge owing to antigen heterogeneity and the low mutation burden in GBM. Cancer immunogenomics represents a complementary approach to the application of genomics in developing novel immunotherapies for GBM. Our goal is to develop a personalized RNA-based therapeutic vaccine that simultaneously targets a selected pool of tumor rejection antigens including all neoantigens and tumor-associated antigens (TAAs) as identified using cancer immunogenomics. We evaluated the treatment efficacy of these RNA therapeutics in combination with adoptive cellular therapy and checkpoint inhibitors. Methods: We identified immunogenic neoantigens and TAAs that are aberrantly overexpressed in KR158-luc and GL261 murine GBM tumors using our cancer immunogenomics pipeline called the Open Reading Frame Antigen Network (O.R.A.N.). A tumor antigen-specific RNA library was created for each tumor using a novel gene enrichment strategy and validated by RNAseq. Tumor-bearing animals were treated with adoptively transferred ex vivo expanded lymphocytes and dendritic cells loaded with the tumor antigen-specific RNA as vaccines. Additionally, we treated animals with the tumor antigen-specific RNA vaccines in combination with anti-PD-1 checkpoint-blockade therapy. Tumor progression and survival outcomes were analyzed to evaluate the treatment efficacies. We determined the peripheral and tumor-infiltrating lymphocyte responses using flow cytometry, TCR sequencing, and single cell RNAseq. Results: The tumor antigen-specific RNA vaccines were significantly effective in slowing the progression of murine GBM tumors in combination with both the adoptive cellular therapy and the checkpoint blockade therapy and improved the outcome of these therapies as compared to monotherapy alone. Additionally, we identified antigen-specific T cells targeting several of our predicted antigens and an increase in tumor-infiltrating lymphocytes and memory T cells in the treated animals. Conclusion: Here, we developed an RNA-based immunotherapy that simultaneously targets numerous tumor-specific antigens and demonstrated its therapeutic efficacy in preclinical models of GBM. Citation Format: Vrunda Trivedi, Changlin Yang, Oleg Yegorov, Kelena Klippel, Graeme Fenton, Christina von Roemeling, Lan Hoang-Minh, Elizabeth Ogando-Rivas, Paul Castillo, Kyle Dyson, Ginger Moore, Duane Mitchell. Development of personalized RNA-based immunotherapeutics for glioblastom. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5114.