Citations

e21058 Background: Recent clinical advances in cancer immuno-therapeutics underscore the need for improved understanding of the complex relationship between cancer and the multiple, multi-functional, inter-dependent, cellular and humoral mediators/regulators of the human immune system. This will lead to improvements in the efficacy of existing immune therapies (patient selection; drug combinations) and insight into new therapeutic targets that may significantly reduce the time to new therapeutics discoveries capable of meaningful clinical impacts. Methods: A systems analysis approach (Cancer Immune Control Dynamics, CICD) attempts to identify the differences between systemic immune homeostasis of healthy volunteers versus patients with metastatic malignant melanoma based on serial measurements of a set of conventional peripheral blood biomarkers of immune function (15 cell subsets and 35 cytokines) assessed daily over 7-10 days. The modeling strategy takes aerospace engineering control theory and system identification algorithms to analyze the state of an individual’s immune system based on the biomarkers’ dynamic non-linear oscillatory behaviors. The analysis framework builds on the classical predator-prey equations commonly used to model biological system dynamics. Tens of thousands of biologically possible biomarker interactions are modeled by a set of matrix equations that creates a system interaction model. CICD quantifies the system equations with biomarker values and solves it to measure the interactions. Results: Quantification of thousands of unique biomarker relationships per participant enables classification based on their immune profile rather than their clinical diagnosis and a basis for a visualization of a person’s immunity state. Conclusions: Results provide initial evidence that a model-based analysis of serially collected biomarker data can lead to biological insights into human immunity, of potential benefit in clinical decisions. It is anticipated that CICD-based capabilities will provide tools to specifically address cancer and treatment modulated (immune checkpoint inhibitors) parameters of human immunity, revealing clinically relevant biological interactions.

6526 Background: Most patients diagnosed with breast cancer turn to the Internet to learn about their diagnosis; however, information online is often generic, challenging to navigate, and not expert-curated. To facilitate patient education and engagement in our breast clinic, we piloted the implementation of pre-visit education via brief microlearning videos organized within an online platform. Methods: Seventeen videos of 2-4 minute duration were developed by multidisciplinary content experts. Videos covered a variety of educational topics relevant to breast cancer, including treatment options. Patients received a link via email to create an account, which provided access to the platform. Aggregate viewing data and optional patient surveys (online after viewing 3 videos and at the clinical appointment) were used to assess opt-in rates, engagement, and satisfaction. Results: Between September 2018 and January 2019, 57.4% (240/418) of women with biopsy proven breast cancer who were sent an email invitation registered on the platform. On average, patients watched 11 of the 17 videos, with 93.7% of users (225/240) viewing at least one. Overall, 85% (168/198) of women recommend the microlearning format for patient education. The most-viewed video topics included types of breast cancer, breast abnormality and biopsy, understanding biopsy results, tumor markers, and staging. Seventy-eight percent (154/198) of women reported that they planned to share the videos with family or caregivers, and 67% (133/198) felt that the educational content increased their satisfaction with their overall experience. Barriers to video access were emails marked as junk, not having an email address, and difficulties with videos loading. Conclusions: The majority of patients participating in this pilot registered on the platform and watched pre-visit microlearning educational videos. These expert-curated videos contributed to high levels of satisfaction and engagement. Strategies to overcome barriers to access will be developed to expand the reach of this new valuable component of breast cancer care.

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.

529 Background: The effect of metformin on sex hormones (SHs) levels that may impact breast cancer (BC) outcome, is unclear. We evaluated the effect of metformin on SHs in a subgroup of women enrolled in the placebo-controlled MA.32 trial, a phase III randomized study of nondiabetic subjects with T1-3, N0-3 BC randomized to receive metformin 850 mg po bid or placebo for 5 years. Methods: Our substudy was conducted on the group of post-menopausal women with estrogen receptor (ER) and progesterone receptor (PR) negative BC and not receiving endocrine treatment enrolled in the trial. Post-menopausal was defined as prior bilateral oophorectomy or > 12 months since last menses without prior hysterectomy. Fasting blood and adherence to study drug at baseline and 6 months was required. Sex hormone binding globulin (SHBG), free testosterone and estradiol serum levels were evaluated using Roche Modular competitive ECLIA (electrochemiluminescense immunoassay). We compared change from baseline to 6 months in estradiol, SHBG and free testosterone between study arms using Wilcoxon sum rank tests and regression models to adjust for baseline BMI and weight change. Results: 304 women were eligible, 135 metformin vs 169 placebo; tumor stage and prior (neo)adjuvant chemotherapy (98% in both arms) and HER2 targeted treatment were well balanced between arms. At baseline mean age was 58.2±6.9 vs 57.6±7.9 years, mean BMI 26.9±4.9 vs 28.6±6.2 Kg/m2, median estradiol 29.82 vs 31.01 pmol/L, SHBG 80.6 vs 73.7 nmol/L and free testosterone 0.02 vs 0.03 nmol/L in metformin vs placebo patients, respectively. In univariable analysis, median estradiol decreased significantly between baseline and 6 months on the metformin vs placebo arm (-4.81 vs 0 pmol/L, p = < 0.0001); this difference remained significant after controlling for baseline BMI (p = 0.0001) and weight change (mean weight change -1.8±3.5 vs 0.4±3.5 Kg, p = < 0.0001 for metformin vs placebo respectively) between baseline and 6 months (p = 0.0007). In contrast, there was no significant change in SHBG or free testosterone (median change SHBG -5.5 vs -5.9 nmol/L, p = 0.33; median change free testosterone 0 vs 0 nmol/L, p = 0.33 for metformin vs placebo respectively). Conclusions: Metformin lowered estradiol levels, independent of weight change in non-diabetic post-menopausal women with ER and PR negative BC enrolled onto MA.32 trial. This observation suggests a new metformin action that has potential relevance to BC management.

AbstractAn association between genetic variants in the vitamin D receptor (VDR) gene and epithelial ovarian cancer (EOC) was previously reported in women of African ancestry (AA). We sought to examine associations between genetic variants in VDR and additional genes from vitamin D biosynthesis and pathway targets (EGFR, UGT1A, UGT2A1/2, UGT2B, CYP3A4/5, CYP2R1, CYP27B1, CYP24A1, CYP11A1, and GC). Genotyping was performed using the custom‐designed 533,631 SNP Illumina OncoArray with imputation to the 1,000 Genomes Phase 3 v5 reference set in 755 EOC cases, including 537 high‐grade serous (HGSOC), and 1,235 controls. All subjects are of African ancestry (AA). Logistic regression was performed to estimate odds ratios (OR) and 95% confidence intervals (CI). We further evaluated statistical significance of selected SNPs using the Bayesian False Discovery Probability (BFDP). A significant association with EOC was identified in the UGT2A1/2 region for the SNP rs10017134 (per allele OR = 1.4, 95% CI = 1.2‐1.7, P = 1.2 × 10−6, BFDP = 0.02); and an association with HGSOC was identified in the EGFR region for the SNP rs114972508 (per allele OR = 2.3, 95% CI = 1.6‐3.4, P = 1.6 × 10−5, BFDP = 0.29) and in the UGT2A1/2 region again for rs1017134 (per allele OR = 1.4, 95% CI = 1.2‐1.7, P = 2.3 × 10−5, BFDP = 0.23). Genetic variants in the EGFR and UGT2A1/2 may increase susceptibility of EOC in AA women. Future studies to validate these findings are warranted. Alterations in EGFR and UGT2A1/2 could perturb enzyme efficacy, proliferation in ovaries, impact and mark susceptibility to EOC.