Abstract PS4-01-08: Ex vivo cytokine profiling of live triple negative breast cancer patient specimens from core needle biopsies illustrates proof of concept to assess tumor response to immune checkpoint inhibition

Abstract Background: Immune checkpoint inhibition (ICI) in combination with chemotherapy is associated with improved outcomes in a subset of patients with triple negative breast cancer (TNBC). However, biomarkers for predicting patient response, such as PD-L1 expression, have limited predictive efficiency. Voabil et al. has shown that ex vivo cytokine profiling of live tumor tissue resections treated with αPD-1 can predict patient response to ICI (Voabil et al., Nat Med. 2021). However, this method requires large amounts of tissue to address intra-specimen tumor heterogeneity, which is not feasible with standard of care (SOC) diagnostic core needle biopsies (CNBs) for breast cancer, where tissue is scarce. We show for the first time that ex vivo cytokine profiling is possible in live tumor fragments (LTFs) generated from CNBs in breast tissue. Methods: We present a cytokine profiling platform to assess response to ICI treatment in LTFs generated from CNBs. CNBs were collected from patients who were identified as potential candidates for SOC ICI (by treating physician) and enrolled in one of two prospective observational clinical trials (NCT05520099 and NCT06349642). CNBs were cut by an automated, proprietary cutting instrument to generate LTFs ofapproximately 300 µm in thickness. To address tissue heterogeneity and mitigate tissue scarcity in CNBs, we used a sequential treatment strategy in which control and ICI treatment were applied to LTFs in the same well, in a phased approach. This strategy provides a solution for the variability observed in cross-well comparisons. LTFs were encapsulated in hydrogel and treated with IgG control followed by αPD-1 (BioXCell). Cytokine production rates were measured longitudinally using multiplex assays assessing>45 cytokines, including 15 cytokines assayed by Voabil et al., and the fold changes of cytokine production rates in response to ICI over IgG control were calculated. Results: Using non-breast tumor tissue, we validated that our platform can measure changes in cytokine production in LTFs following sequential treatment, and that these measurements are comparable to those observed in a cross-well setting. In a small cohort of TNBC specimens, we show changes in cytokine production rates in response to ex vivo sequential control and ICI treatment. Ten cytokines, including IFN-γ and CXCL10, shown to be predictive of patient response to ICI in Voabil et al. were found upregulated in response to αPD-1 in TNBC specimens. Future determination of correlation with clinical response data (pathological complete response for early stage and RECIST 1.1 for metastatic patients) gathered from NCT05520099 and NCT06349642 will be used to validate platform responders and non-responders. To date, 11 patients with confirmed TNBC diagnoses have enrolled in these clinical studies. Conclusion: We report, for the first time to our knowledge, the ability to detect immune checkpoint inhibitor responses in live TNBC tissue obtained via CNBs. This proof-of-concept lays the groundwork for integrating functional tissue responses with clinical correlation data, with important implications for guiding current ICI therapies and advancing this platform for use in next-generation immuno-oncology treatments for TNBC. Citation Format: P. P. Advani, J. Harvey, J. Polley, M. Weidner, A. Arnold, D. Haley, R. Bollam, R. Rao, S. Chumsri, K. Hugghins, M. Acampora, C. Vivelo, H. Hernan, L. Hrycyniak, J. Zweng, H. Gierman, S. Bhattacharya, D. Mukhopadhyay. Ex vivo cytokine profiling of live triple negative breast cancer patient specimens from core needle biopsies illustrates proof of concept to assess tumor response to immune checkpoint inhibition [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS4-01-08.