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Rapid assessment of functional avidity of tumor-specific T cell receptors using an antigen-presenting tumor cell line electroporated with full-length tumor antigen mRNA

Journal Contribution - e-publication

The functional avidity of T-cell receptor (TCR)-engineered T cells towards their cognate epitope plays a crucial role in successfully targeting and killing tumor cells expressing the tumor-associated antigen (TAA). When evaluating in vitro functional T-cell avidity, an important aspect that is often neglected is the antigen-presenting cell (APC) used in the assay. Cell-based models for antigen-presentation, such as tumor cell lines, represent a valid alternative to autologous APCs due to their availability, off-the-shelf capabilities, and the broad range of possibilities for modification via DNA or messenger RNA (mRNA) transfection. To find a valuable model APC for in vitro validation of TAA Wilms’ tumor 1 (WT1)-specific TCRs, we tested four different WT1 peptide-pulsed HLA-A2+ tumor cell lines commonly used in T-cell stimulation assays. We found the multiple myeloma cell line U266 to be a suitable model APC to evaluate differences in mean functional avidity (EC50) values of transgenic TCRs following transfection in 2D3 Jurkat T cells. Next, to assess the dose-dependent antigen-specific responsiveness of WT1 TCR-engineered 2D3 T cells to endogenously processed epitopes, we electroporated U266 cells with different amounts of full-length antigen WT1 mRNA. Finally, we analyzed the functional avidity of WT1 TCR-transfected primary CD8 T cells towards WT1 mRNA-electroporated U266 cells. In this study, we demonstrate that both the APC and the antigen loading method (peptide pulsing versus full-length mRNA transfection) to analyze T-cell functional avidity have a significant impact on the EC50 values of a given TCR. For rapid assessment of the functional avidity of a cloned TCR towards its endogenously processed MHC I-restricted epitope, we showcase that the TAA mRNA-transfected U266 cell line is a suitable and versatile model APC.
Journal: Cancers
ISSN: 2072-6694
Volume: 12
Pages: 1 - 15
Publication year:2020
Keywords:A1 Journal article
BOF-keylabel:yes
BOF-publication weight:3
CSS-citation score:1
Authors from:Higher Education
Accessibility:Open