Abstract

Abstract Within the last decade, major technological advances in flow cytometry and (single cell) RNA-sequencing have deepened our understanding of complex anti-tumoral immune responses. This allows a comprehensive immune monitoring of novel therapies in pre-clinical models. Conventional flow cytometry is reaching its technical limitation. The emitted fluorescence signal of the target population stained with antibodies is evaluated with simple bandpass filters, which leads to spectral overlap and thus the number of parameters that can be analyzed simultaneously is limited. The spectral analyzer technology combines both methods, providing great flexibility in evaluating different immune cell populations. This provides the opportunity to obtain target information by measuring the entire fluorescence spectrum measuring each wavelength individually and thus evaluating the true signal of each fluorochrome unaffected by autofluorescence or spillover. Our standard all-in-one flow cytometry panel uses the full capacity of a conventional BD Fortessa flow cytometer and enables the differentiation of important immune cell populations in tumors, such as T cells (CD4+, CD8+, regulatory T cells), B and NK cells as well as macrophages (M1/M2), MDSCs (granulocytes and monocytes) and dendritic cells. However, it would be of great advantage to gain further insights into activation and effector functions of the immune cells using markers like CD44 & CD62L, CD69, PD-1, Lag-3, Tim-3 and PDL-1, CD80, CD86, CD40 and Ki-67. The Sony ID7000 spectral analyzer enables the simultaneous assessment of 27 markers to evaluate immune phenotypes, with the ability to include up to 4 individual target antibodies. Flow cytometry data from various tumor models are presented, demonstrating the enormous utility and potential of the spectral analyzer, especially with limited and precious tumor sample material, by evaluating different immune cell populations simultaneously without reaching its technical limits. The spectral analyzer technology enables us to mechanistically investigate differences in tumor therapies such as PD-1 treatment or other immune cell modulators not only phenotypically but also with regard to activation and differentiation of immune cell populations. Citation Format: Jonas F. Hummel, Philipp Metzger, Roland Sonntag, Dennis Borrero-Wolff, Cynthia Obodozie, Holger Weber. Comprehensive 27-marker standard panel for immune monitoring of pre-clinical tumor mouse models using spectral analyzer technology [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 91.

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