Zhang, Cheng

Abstract Glioblastoma is the most common and lethal primary brain tumor in adults, with a median survival less than 15 months despite current standard of care. Oncolytic immunovirotherapies (OVs) have shown promise in early clinical trials. OVs are engineered to specifically target cancer cells, trigger autophagic programmed cell death, and release tumor antigens in the context of T-cell activating cytokines. Cellular communication network factor 1 (CCN1) is an extracellular matrix protein expressed in 70% of glioblastomas that has been shown to drastically reduce OV efficacy, particularly herpes simplex virus type 1 (HSV-1). Our objectives were to decode protein-protein interaction (PPI) networks activated by CCN1, identify critical nodes in resistance networks, and use this analysis to design OVs that overcome CCN1-mediated resistance. We used NetDecoder to elucidate phenotype-specific PPI subnetworks in LN229 human glioblastoma cells with tetracycline-inducible CCN1 expression. Publicly available microarray data on CCN1-induced and control samples established differentially expressed genes, which served as sources in our PPI network to derive prioritized context-specific subnetworks. We found that 11 source genes collaborate via 39 deep nodes to confer OV resistance to CCN1-expressing glioblastomas. Of these, a router (IKBKE) and a sink (YBX1) have been previously implicated in glioblastoma pathogenesis. We conclude that autophagy regulator HSP90AA1, a critical node, may be targeted to improve OV efficacy in CCN1-expressing glioblastomas. Furthermore, WebGestalt overrepresentation analysis of subnetwork nodes suggests that oncolytic adenovirus may be more effective than HSV-1 as a synthetic biology chassis.

e14237 Background: Targeting myeloid-derived suppressor cells (MDSCs), key mediators of intrinsic and adaptive immune resistance, remains a significant challenge in kidney cancer immunotherapy. One potential driver of MDSC mediated tumor immunosuppression is the cytokine interleukin-1 beta (IL-1β). Although large cancer prevention studies show that targeting IL1 decreases cancer risk, the exact mechanism of anti-IL-1 mediated anti-tumor efficacy is not yet defined. To understand the immunogenic effects of IL-1β blockade and effects on MDSCs, we used the RENCA model of RCC. Methods: We inoculated BALB/c mice with 1x106 RENCA cells. On Day +10 we treated mice (n = 8/group) with vehicle, αPD1, αIL1β, cabozantinib, combination αPD1/αIL1β, or cabozantinib/αIL1β. We harvested day +18 tumors to quantify tumor size and immune cells by flow cytometry. We then isolated immune cells for differential gene expression profiling by RNAseq. Results: Treatment with αIL1β significantly decreased tumor size compared to vehicle or αPD1 monotherapy. Combining αPD1/αIL1β or cabozantinib/αIL1β potentiated the anti-tumor effects of αPD1 or cabozantinib monotherapy respectively. Anti-IL1β therapy decreased polymorphonuclear (PMN)-MDSC infiltration (αIL1β: 0.76% +/- 0.21 vs. vehicle: 1.89% +/- 0.37, P = 0.014). Relative to PD1 monotherapy, combining αPD1 and αIL1β decreased PMN-MDSCs (αPD1: 2.14% +/- 0.56 vs αPD1/αIL1β: 0.91% +/- 0.15, P = 0.033) and increased M1-like tumor associated macrophages (TAM) (αPD1: 0.798% +/- 0.21 vs. αPD1/αIL1β: 12.04% +/- 2.9, P = 0.0008). Gene expression profiling from sorted immune cells from αIL1β treated tumors revealed multiple differentially regulated cytokines including interleukin-6, IFN-γ, and IL-10. Conclusions: Blockade of IL-1β depletes intratumoral PMN-MDSCs and increases M1-like TAM with minimal effects observed on the T cell compartment. Treatment with cabozantinib or αPD1 in combination with αIL1β led to sustained control of tumor growth. IL-1β represents a promising target for kidney cancer immunotherapy. Based on the preclinical data, a clinical trial of neoadjuvant αPD1 and αIL1β therapy is planned for patients with high risk RCC.