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1096 Background: Previous reports suggest the incidence of brain metastasis is higher in patients with hereditary BRCA1 mutations compared to BRCA1 noncarriers among breast cancer patients who develop recurrent disease. PARP inhibitors are now standard therapies for metastatic breast cancer patients with germline BRCA1 or BRCA2 mutations ( gBRCA1/2) based on their efficacy in treating systemic disease. However, as management of systemic disease improves, a concern is that patients with hereditary BRCA mutations may experience higher rates of disease progression in the CNS. We aimed to estimate the incidence of brain metastasis in breast cancer patients with gBRCA1/2 using a prospectively maintained gBRCA database and to assess the impact of brain metastasis on survival. Methods: To determine incidence, we queried a prospectively maintained electronic database that included patients referred to the MDACC genetics department and who underwent gBRCA1/2 testing. We identified patients with stage I-III invasive breast cancer who were treated between 2000-2017 and assessed for disease recurrence and brain metastasis. To expand our cohort for descriptive characteristics (separate from the incidence analysis), we queried the Breast Medical Oncology database for patients with brain metastasis who had undergone BRCA1/2 testing outside the genetics department or at outside institutions. Results: Of 474 patients with Stage I-III breast cancer and gBRCA1, 77 (16.2%) developed distant metastasis (median f/u: 9.1 years). Of these patients, 34/77 (44.2%) developed brain metastasis. In comparison, 42 of 318 (13.2%) of gBRCA2 patients with Stage I-III breast cancer developed distant recurrence (median f/u: 8.4 years), and 7/42 (16.7%) experienced brain metastasis. In gBRCA1 patients with brain metastasis, 45/48 (83.8%) had triple negative disease, and the median time from diagnosis to brain metastasis was 2.45 years. The brain was among the initial sites of disease recurrence in 24/48 (50%) of gBRCA1 patients. For gBRCA1 patients with distantly recurrent disease, median OS from diagnosis was 3.19 years for patients with brain metastasis vs. 5.37 years for patients without brain mets (HR 0.54; 95% CI 0.34 to 0.85; P = 0.0082). Conclusions: Brain metastasis is frequent among breast cancer patients with recurrent disease and hereditary BRCA1 mutations. Development and testing of agents with intracranial activity is critical for improving long-term outcomes in gBRCA1 patients with metastatic breast cancer.

509 Background: In TNBC patients (pts) receiving NAST, increasing tumor infiltrating lymphocytes (TILs) is associated with higher pathologic complete response (pCR) rates. However, since the presence of TIL do not consistently predict pCR, the current study was undertaken to more fully characterize the immune cell response and its association with pCR. Methods: T cell receptor (TCR) sequencing, PD-L1 immunohistochemistry and multiplex immunofluorescence were performed on prospectively collected pre-NAST tumor samples from 98 pts with stage I-III TNBC enrolled in ARTEMIS (NCT: 02276443). TCR clonality was calculated using Shannon’s entropy. PD-L1+ was defined as ≥1% immune cell staining. Response to NAST was defined using the residual cancer burden (RCB) index. Associations between TCR clonality, immune phenotype, and response were examined with the Wilcoxon rank sum test, Spearman’s rank correlation and multivariable logistic regression using stepwise elimination (threshold p > 0.2), as appropriate. Results: The pCR rate was 39% (38/98). pCR was associated with higher TCR clonality (median = 0.2 [in pts with pCR] vs 0.1 [in pts with residual disease], p = 0.05). Notably, the association between pCR and higher TCR clonality was observed in pts with ≥5% TIL (n = 61; p = 0.05) but not in pts with < 5% TIL (n = 37; p = 0.87). Among pts with ≥5% TIL, TCR clonality emerged as the only independent predictor of response in a multivariable model of tumor immune characteristics (odds ratio/0.1 increase in TCR clonality: 3.0, p = 0.021). PD-L1+ status was associated with higher TCR clonality (median = 0.2 [in PD-L1+] vs 0.1 [in PD-L1-], p = 0.004). Higher TCR clonality was associated with higher CD3+ (rho = 0.32, p = 0.0018) and CD3+CD8+ (rho = 0.33, p = 0.0013) infiltration but lower expression of PD-1 on CD3+ (rho = -0.24, p = 0.021) and CD3+CD8+ cells (rho = -0.21, p = 0.037). Conclusions: In TNBC, a more clonal T cell population is associated with an immunologically active microenvironment (higher CD3+ and CD3/8+ T cell; lower PD-1+CD3+ and PD-1+CD3/8+ T cell; PD-L1+) and favorable response to NAST, especially in pts with ≥5% TIL, suggesting a role for deep immune phenotyping in further refining the predictive value of TILs.

e14023 Background: Despite recent progress, robust treatment strategies that lead to durable remission are still lacking for many cancer types. This disease is difficult to treat owing in part to the complexity introduced by a heterogeneous population of cancer cells capable of evolving mechanisms of resistance to traditional therapy. Nonetheless, the discovery and continued optimization of T-cell immunotherapy has revolutionized the treatment of many cancers. This treatment strategy stands out from other approaches in its unique ability to co-evolve alongside an evading tumor. While promising, such therapies are also complex. For example, allogeneic stem cell transplantation leverages a donor-derived T-cell repertoire to treat patients with refractory hematologic malignancies and relies upon a delicate balance between desirable anti-tumor effects and potentially life-threatening graft-versus-host-disease. Currently, the decision to utilize this therapy and others like it is largely influenced by prior empirical evidence. Thus, there is great need for quantitative models of the cancer-immune interaction to generate testable predictions of treatment outcome, which could then be validated prior to T-cell immunotherapy administration. Methods: We develop a foundational mathematical model to investigate the properties of stochastic tumor-immune co-evolution using applied stochastic process theory and probabilistic analysis. We use this model to predict the effects of reduced immunity, T-cell diversity, and thymic turnover rates on cancer incidence, and compare model simulations to cancer evolutionary data. Results: We predict that changes in T-cell diversity, and to a lesser degree thymic turnover, increase the chance of tumor progression. When applied to experimental data, we demonstrate that the observations are consistent with co-evolution between an indolent cancer population and the adaptive immune system prior to clinical disease. Conclusions: Our results provide a fundamental framework for analyzing the interaction dynamics of an evolving threat like cancer and the adaptive immune system in order to better understand and predict immunotherapeutic efficacy.

585 Background: We previously reported a median tumor volume loss of 88% (range 30-98%) in 13 patients with early stage BRCA1/2 mutant breast cancer treated on a neoadjuvant trial of the PARP inhibitor talazoparib. The effects of PARP inhibition on immune aspects of the TiME in early-stage breast cancer has not been well described. The goal of this study was to evaluate the TiME in pre and post-treatment core biopsies from enrolled patients. Methods: Eleven paired core biopsies were available for examination. Tumor infiltrating lymphocytes (TILs) were quantified by H&E stained slides by a central pathologist. Specimens were assessed by multiplex immunofluorescence (mIF) using a panel of 6 biomarkers (PD-1, PD-L1, CD3, CD8, CD68 and CK) with the Opal 7-color Kit in LEICA BOND auto stainer, Vectra automated quantitative pathology imaging system and inForm software (PerkinElmer). Results: In the analyzed core biopsies, there was an increase in TILs evaluated by H&E in post-treatment compared to baseline (mean 36 vs 11%). By mIF there was an increase in CD3+ T cell and CD3+CD8+ cytotoxic T cell density in post-treatment samples compared to baseline, summarized in table. PD-L1 expression in tumor cells was rare in the cohort. There was no difference in CD3+PD-1+ or CD3+CD8+ PD-1+ lymphocytes in pre and post-treatment specimens. There was also no differences in macrophages (CD68+). Evaluation of immune phenotype and imaging response will be presented in the final analysis. Conclusions: This is the first study phenotyping the immune response to neoadjuvant talazoparib in BRCA-mutant breast cancer patients. In this small cohort, intratumoral and stromal CD3+ T cells and CD3+CD8+ cytotoxic T cells increased after two months of talazoparib. Clinical trial information: NCT02282345. [Table: see text]