Abstract High-grade serous ovarian cancer (HGSOC) is the most frequent and most aggressive histologic subtype of ovarian cancer. The cornerstone of the existing treatment of HGSOC is DNA-damaging chemotherapy; however, practically all patients eventually develop a progressive disease and the 5-year survival is only 40%. Immunotherapy would seem to be an attractive alternative treatment to chemotherapy, yet existing immunotherapies perform poorly in ovarian cancer, with only ~10% of patients responding to checkpoint blockade. Why this is the case remains poorly understood and there is a pressing need to understand the underlying biology of immune evasion in ovarian cancer. One critical area of interest is the role of homology-dependent DNA repair (HR) in immune evasion. The types and abundance of potential antigens present on cancer cells may depend on the genotype of the tumor, its mutational burden, and the cellular state. Unfortunately, the preclinical tools required to explore the relationship between the types of DNA damage repair deficiencies and immune evasion have been lacking. Hence, we have modeled the biology of ovarian cancer using patient-relevant mutational landscapes in an immune-proficient, syngeneic mouse model in order to help us identify the contribution of common driver mutations to the immune repertoire in the tumor microenvironment, and thus to responses of HGSOC tumors to immunotherapy. We hypothesize that the immune composition and gene expression signatures of the resulting tumors will vary based on the combination of genetic alterations and the DNA repair proficiency of the transformed cells. To this end, we have engineered novel syngeneic mouse models from murine fallopian tube epithelium using CRISPR/Cas9 technology. These tumors capture the most common combinations of co-occurring mutations observed in HR-deficient and -proficient patient samples. These models can identify the contribution of common driver mutations which are TP53, BRCA1, PTEN, MYC, Cyclin E1 (CCNE1), AKT2, and Kras to the heterotypic interactions between cancer and stromal/immune compartments and examine how DNA repair proficiency contributes to immunogenicity. To validate the DNA repair proficiency of the transformed cells, we measured Rad51 nuclear focus formation after ionizing radiation (IR) and PARP inhibitor and DNA-damaging agent sensitivity. The HR-deficient cell lines had significantly fewer Rad51 nuclear foci and were more sensitive to PARP inhibition in comparison to HR-proficient cells. Initial immune /stromal analysis using flow cytometry, scRNAseq transcriptomic and immunofluorescence analysis revealed substantial differences in the myeloid and T-cell regulatory compartments between HR-proficient and -deficient primary and metastatic tumors and within the ascitic fluid. Preliminary results also suggest that inhibition of the DNA damage response (DDR), checkpoint kinase 1 (Chk1) in combination with immune checkpoint inhibitors, potentiates antitumor effects and augments cytotoxic T-cell infiltration. In conclusion, these results reveal how common mutational drivers, and particularly those associated with HR status, determine the microenvironment of the tumor and its response to treatment. Understanding the genetic basis of these complex cellular interactions will be critical to better tailor combinations of existing targeted treatments and immunotherapies in ovarian cancer to fight this devastating disease. Citation Format: Sonia Iyer, Shuang Zhang, Anniina Farkkila, Sean Smith, David Pepin, Raghav Mohan, Ferenc Reinhardt, Tian Xia, Tony E. Chavarria, Esmee Hoefsmit, Shailja Pathania, Yunlan Zhou, Kevin M. Elias, Benjamin G. Neel, Robert A. Weinberg. The genomic architecture of serous carcinomas shapes the tumor microenvironment and modulates responses to targeted and immunotherapies [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference on Molecular Targets and Cancer Therapeutics; 2019 Oct 26-30; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2019;18(12 Suppl):Abstract nr PR04. doi:10.1158/1535-7163.TARG-19-PR04
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