Abstract 2020: Nascent proteome analysis of drug response in precision-cut tumor slices

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Abstract The complex and dynamic microenvironment of tumors influences their development, progression, and response to therapy. In addition to cancer cells, solid tumors consist of a tumor microenvironment (TME) containing fibroblasts, immune cells, blood and lymphatic vessels, and the extracellular matrix. A wide variety of secreted proteins maintain the heterotypic interactions between the cell types in the TME. However, it is not well understood how the TME responds to treatment at the proteome level. Here, we developed a unique nascent proteomic approach for precision-cut tumor slices to address this issue. Precision-cut tumor slices (PCTS) are a technology in which tumor tissues are cut to a defined thickness of 150-300 µm and cultured ex vivo for a certain time. PCTS maintain both the three-dimensional architecture and tumor heterogeneity and preserve their TME with respect to different cell types and the extracellular matrix. Our approach for PCTS nascent proteome analysis combines pulsed-SILAC (stable isotope labeling with amino acids in cell culture) with click chemistry to selectively isolate and quantify newly synthesized proteins in the TME upon drug treatment. PCTS were generated from patient-derived xenografts and primary human ovarian tumors. After a depletion step, the PCTS were cultured in AHA-SILAC medium and treated with cisplatin. PCTS and culture media containing secreted proteins were harvested separately. Newly synthesized proteins were enriched via click chemistry and analyzed using mass spectrometry. A maximum labelling efficiency of >60% was achieved. Human PCTS showed a higher labelling efficiency than mouse xenografts. The PCTS of different tumors showed varying labeling efficiencies, indicating patient heterogeneity. Nascent proteome analysis enables the investigation of drug resistance and response in different patients. Cisplatin treatment resulted in the downregulation of >200 proteins in responsive tumors. A PCTS resistant to cisplatin did not show this response. Moreover, the corresponding patient had a worse clinical outcome than patients whose tumors were sensitive ex vivo. GSEA revealed the involvement of components such as cadherin binding and DNA translation. Protein-protein interactions can be predicted via STRING analysis. Tumor response or resistance was validated using viability assays and immunohistochemical staining for biomarkers of DNA damage and cell death. In conclusion, we established an ex vivo nascent proteome analysis method to study drug response within the complex TME, which can predict the tumor in vivo drug response. By combining the PCTS culture system with pulsed SILAC-AHA treatment, this approach allows the tracking of compositional and dynamic changes within the proteome and monitoring of the direct proteome response on a rapid timescale. It can be used to study cellular communication, predict therapeutic outcomes, and identify new therapeutic targets. Citation Format: Julia Thiel, Lina-Marie Wagner, Karim Aljakouch, Julia Schüler, Bernd Winkler, Kathrin Böpple, Thomas E. Mürdter, Georg Sauer, German Ott, Walter E. Aulitzky, Matthias Schwab, Jeroen Krijgsveld, Meng Dong. Nascent proteome analysis of drug response in precision-cut tumor slices [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 2020.

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