Abstract 5674: Cancer immunogenomics for the development of personalized ovarian cancer vaccine

Abstract

Abstract Ovarian cancer (OC) is the fifth leading cause of cancer death in the United States with approximately 20,000 women being diagnosed every year. Since OC development is mainly asymptomatic, patients are often diagnosed at late stage and present local and distal metastases. This offers a clinical challenge, as roughly 70% of the patients develop chemoresistant disease. With the advent of cancer immunogenomics it is now possible to identify tumor specific mutations, or neoantigens/neoepitopes, that can be exploited for the development of personalized T cell therapies via DC vaccines or adoptive cell therapy (ACT). We therefore hypothesize that tumor cells isolated from malignant ascites reflect the genomic landscape of the primary tumor, offering a unique opportunity to identify clinically actionable tumor neoantigens. We utilized primary tumor, tumor cells isolated from malignant ascites and metastatic samples to create patient-derived xenografts (PDX) mice and to interrogate the tumor mutational landscape. Somatic mutations were identified by whole exome sequencing (WES) and RNASeq analysis in tumor samples, using PBMCs as germline control. In parallel 20 PDX of ovarian cancer were established in NSG mice by injecting 2×106 cells/mouse subcutaneously (SQ, n=10) and intraperitoneally (IP, n=10). Tumor growth was monitored weekly via caliper measurement for mice injected SQ and via abdominal circumference for mice injected IP. Mutational analysis and prediction of high affinity peptides was done using bioinformatics approach. We have utilized different algorithms that are based on Artificial Neural Networks or published motifs for predicting binding of 8-11 mer peptides to number of Human MHC alleles (HLA) and out of 168 mutated peptides identified, 30 were found to have high affinity for different HLAs compared to wild type peptide. Mutated and wild type peptides were pulsed into dendritic cells and co-cultured with CD8+ T cells for 20 days. Validation of stimulated CD8+ T cells by these mutated peptides using ELISPOT is underway. TCR specific for neoantigen from CD8+T cells will be identified and cloned using retroviral vectors. Transfected CD8+ T cells with neoantigen specific TCR will be confirmed by co-culturing them with dendritic cells pulsed with wild type and mutated peptides. Further engineered CD8+ T cells specific for neoantigens will be tested for adoptive cell therapy in the established PDX models of ovarian cancer. Citation Format: Muzamil Y. Want, Takemasa Tsuji, Richard Koya, Sebastiano Battaglia. Cancer immunogenomics for the development of personalized ovarian cancer vaccine [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 5674. doi:10.1158/1538-7445.AM2017-5674