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Unbiased Identification of T-Cell Receptors Targeting Immunodominant Peptide–MHC Complexes for T-Cell Receptor Immunotherapy
Author(s) -
Felix K.M. Lorenz,
Christian Ellinger,
Elisa Kieback,
Susanne Wilde,
Maria Lietz,
Dolores J. Schendel,
Wolfgang Uckert
Publication year - 2017
Publication title -
human gene therapy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.633
H-Index - 149
eISSN - 1557-7422
pISSN - 1043-0342
DOI - 10.1089/hum.2017.122
Subject(s) - t cell receptor , major histocompatibility complex , biology , cancer immunotherapy , immunotherapy , human leukocyte antigen , mhc class i , t cell , computational biology , antigen , immunology , immune system
T cell receptor (TCR) immunotherapy uses T cells engineered with new TCRs to enable detection and killing of cancer cells. Efficacy of TCR immunotherapy depends on targeting antigenic peptides that are efficiently presented by the best suited major histocompatibility complex (MHC) molecules of cancer cells. However, efficient strategies are lacking to easily identify TCRs recognizing immunodominant peptide-MHC (pMHC) combinations utilizing any of the six possible MHC class I alleles of a cancer cell. We generated an MHC cell library and developed a platform approach to detect, isolate and re-express TCRs specific for immunodominant pMHCs. The platform approach was applied to identify a human papillomavirus (HPV16) oncogene E5-specific TCR, recognizing a novel, naturally processed pMHC (HLA-B*15:01), and a cytomegalovirus-specific TCR targeting an immunodominant pMHC (HLA-B*07:02). The platform provides a useful tool to isolate in an unbiased manner TCRs specific for novel and immunodominant pMHC targets for use in TCR immunotherapy.

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