Literature DB >> 27514672

Identification of a naturally processed HLA-A*02:01-restricted CTL epitope from the human tumor-associated antigen Nectin-4.

Marc Lopez1, Abderrezak Ghidouche2, Caroline Rochas2, Danièle Godelaine3,4, Javier Carrasco5, Didier Colau3,4, Gérald Hames4, Félix A Montero-Julian6, Pierre G Coulie4, Daniel Olive7.   

Abstract

Nectin-4 is a tumor antigen present on the surface of breast, ovarian and lung carcinoma cells. It is rarely present in normal adult tissues and is therefore a candidate target for cancer immunotherapy. Here, we identified a Nectin-4 antigenic peptide that is naturally presented to T cells by HLA-A2 molecules. We first screened the 502 nonamer peptides of Nectin-4 (510 amino acids) for binding to and off-rate from eight different HLA class I molecules. We then combined biochemical, cellular and algorithmic assays to select 5 Nectin-4 peptides that bound to HLA-A*02:01 molecules. Cytolytic T lymphocytes were obtained from healthy donors, that specifically lyzed HLA-A2(+) cells pulsed with 2 out of the 5 peptides, indicating the presence of anti-Nectin-4 CD8(+) T lymphocytes in the human T cell repertoire. Finally, an HLA-A2-restricted cytolytic T cell clone derived from a breast cancer patient recognized peptide Nectin-4145-153 (VLVPPLPSL) and lyzed HLA-A2(+) Nectin-4(+) breast carcinoma cells. These results indicate that peptide Nectin-4145-153 is naturally processed for recognition by T cells on HLA-A2 molecules. It could be used to monitor antitumor T cell responses or to immunize breast cancer patients.

Entities:  

Keywords:  CTL; Epitope; MHC class I; Nectin-4; Tumor vaccine; Tumor-associated antigen

Mesh:

Substances:

Year:  2016        PMID: 27514672     DOI: 10.1007/s00262-016-1877-7

Source DB:  PubMed          Journal:  Cancer Immunol Immunother        ISSN: 0340-7004            Impact factor:   6.968


  3 in total

Review 1.  Recent progress on MHC-I epitope prediction in tumor immunotherapy.

Authors:  Xiangyi Wang; Zhaojin Yu; Wensi Liu; Haichao Tang; Dongxu Yi; Minjie Wei
Journal:  Am J Cancer Res       Date:  2021-06-15       Impact factor: 6.166

2.  Analysis of the function of MAGE-A in esophageal carcinoma by bioinformatics.

Authors:  Xiaohua Chen; Sina Cai; Liping Wang; Xiaona Zhang; Wenhui Li; Xiaolong Cao
Journal:  Medicine (Baltimore)       Date:  2019-05       Impact factor: 1.817

Review 3.  Therapeutic Cancer Vaccines-Antigen Discovery and Adjuvant Delivery Platforms.

Authors:  Neftali Ortega Alarcon; Maddy Jaramillo; Heidi M Mansour; Bo Sun
Journal:  Pharmaceutics       Date:  2022-07-11       Impact factor: 6.525

  3 in total

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