| Literature DB >> 25362181 |
Ravit Oren1, Moran Hod-Marco1, Maya Haus-Cohen1, Sharyn Thomas2, Dan Blat3, Nerri Duvshani1, Galit Denkberg4, Yael Elbaz4, Fabrice Benchetrit4, Zelig Eshhar3, Hans Stauss2, Yoram Reiter5.
Abstract
Adoptive transfer of Ag-specific T lymphocytes is an attractive form of immunotherapy for cancers. However, acquiring sufficient numbers of host-derived tumor-specific T lymphocytes by selection and expansion is challenging, as these cells may be rare or anergic. Using engineered T cells can overcome this difficulty. Such engineered cells can be generated using a chimeric Ag receptor based on common formats composed from Ag-recognition elements such as αβ-TCR genes with the desired specificity, or Ab variable domain fragments fused with T cell-signaling moieties. Combining these recognition elements are Abs that recognize peptide-MHC. Such TCR-like Abs mimic the fine specificity of TCRs and exhibit both the binding properties and kinetics of high-affinity Abs. In this study, we compared the functional properties of engineered T cells expressing a native low affinity αβ-TCR chains or high affinity TCR-like Ab-based CAR targeting the same specificity. We isolated high-affinity TCR-like Abs recognizing HLA-A2-WT1Db126 complexes and constructed CAR that was transduced into T cells. Comparative analysis revealed major differences in function and specificity of such CAR-T cells or native TCR toward the same antigenic complex. Whereas the native low-affinity αβ-TCR maintained potent cytotoxic activity and specificity, the high-affinity TCR-like Ab CAR exhibited reduced activity and loss of specificity. These results suggest an upper affinity threshold for TCR-based recognition to mediate effective functional outcomes of engineered T cells. The rational design of TCRs and TCR-based constructs may need to be optimized up to a given affinity threshold to achieve optimal T cell function.Entities:
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Year: 2014 PMID: 25362181 DOI: 10.4049/jimmunol.1301769
Source DB: PubMed Journal: J Immunol ISSN: 0022-1767 Impact factor: 5.422