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The immune microenvironment is an important component in cancer therapy. Immune cells can encourage tumor growth, leading to disease progression. A high number of immune cells may be predictive of disease prognosis and response to therapies. Therefore, understanding the immune cell phenotypes present within cancerous tissue can be valuable in developing strategies that aid in the treatment of cancer. In this study, we analyzed pre-and post-therapy samples from breast cancer patients, treated with neoadjuvant chemotherapy, using a 6-plex immunofluorescence assay which included clinically relevant immuno-oncology biomarkers (FoxP3, PD-L1, PanCK, CD4, CD8 and CD163). This assay was developed and optimized in-house prior to testing the cohort. Endpoints for this analysis were characterization of the tumor microenvironment and analysis of the individual immune cell subsets pre and post treatment. Staining was completed on the Leica Bond RX autostainer (Leica Biosystems) and slides were scanned using the PhenoImager™ Fusion (Akoya Biosciences). Using Visiopharm® software, the multiplex phenotyping module was used to analyze the high dimensional human tissue and cell phenotypes were detected using artificial intelligence. Qualitative and quantitative results revealed a change in immune cell phenotypes between pre- and post-therapy samples. These included an increase in intra-tumoral and stromal T cells, no significant difference in PD-L1 positive cells, and an increase in the FOXP3 positive T cells in post-treatment samples. Our data provides insights into the development and application of multispectral imaging for characterization of tumor microenvironment and its dynamics before and after treatment in breast cancer. This can be applied to other cancer types and can aid in making treatment decisions. Citation Format: Bhavika Patel, Stephanie Allen, Brenna Dennison, Jacob Stapleton, Roni Archuleta, Mary Lou Rath, Navi Mehra, Sameer S. Talwalkar. Multispectral imaging to detect immune phenotypes in pre and post therapy breast cancer patient specimens [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 6666. |
