Abstract
Abstract Immune checkpoint blockade (ICB) has emerged as a new promising therapeutic approach in multiple cancers, however, the responses to single-agent ICBs have been modest in high-grade serous ovarian cancer (HGSOC). Preclinical- and early clinical data show promising efficacy of combining DNA damaging agents with immunotherapy. An improved understanding of the interplay between DNA damage in cancer cells and anti-tumor immune responses may therefore accelerate the development of rational drug combinations and identify predictive biomarkers. The majority of HGSOC are deficient in homologous recombination (HR) DNA repair, and use alternative, error-prone DNA repair pathways, that have been shown to be associated with increased immune recognition (Strickland et al, 2016). Compelling evidence has shown that DNA damaging agents increase the expression of immune-regulatory genes, such as MCH class I antigens, and interferons in HR deficient tumors. Further, HR deficient tumor exhibit an increased response to ICBs, and DNA damage-driven activation of interferon signalling has been shown to overcome resistance to ICBs (Wang et al, 2016). To reveal the relationship between intrinsic and treatment-induced DNA damage and the HGSOC immune microenvironment we are employing a novel, high-multiplex tissue cyclic immunofluorescence (t-CycIF) platform (Lin et al, 2016& 2017) allowing for the simultaneous detection of up to 60 different antigens at single cell resolution. Utilizing t-CycIF we are in the process of profiling the DNA damage and immune responses in three unique HGSOC clinical cohorts including i) tumors with inherent DNA repair deficiencies ii) pre- and post DNA damaging therapy iii) tumors collected in an innovative clinical trial combining Poly- ADP Ribose Polymerase inhibitor (PARPi) Niraparib and ICB Pembrolizumab. Using this high-dimensional, quantitative data we are mapping the abundance, spatial arrangement and functional state of cancer cells, immune cells, and stroma in the HGSOC microenvironment. The highly multiplexed t-CycIF data are processed with established computational algorithms and correlated with clinical outcomes. Our preliminary data shows that t-CycIF sensitively captures immune cell subpopulations, tumor heterogeneity and DNA damage in HGSOC. We anticipate that t-CycIF could accelerate the development of rational strategies for combining DNA damaging agents with immunotherapy to ultimately improve the treatment and outcomes of patients with ovarian cancer. Citation Format: Anniina Farkkila, Sameer S. Chopra, Jia-Ren Lin, Zoltan Maliga, Bose Koruchupakkal, Kyle C. Strickland, Brooke E. Howitt, Sandro Santagata, Ursula A. Matulonis, Kevin Elias, Elizabeth M. Swisher, Panagiotis A. Konstantinopoulos, Peter Sorger, Alan D. D'Andrea. DNA damage and immunoprofiling with highly multiplexed tissue immunofluorescence (t-CycIF) in high-grade serous ovarian cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 139.
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