Literature DB >> 9224969

The ability of peptides to induce cytotoxic T cells in vitro does not strongly correlate with their affinity for the H-2Ld molecule: implications for vaccine design and immunotherapy.

J Ochoa-Garay1, D M McKinney, H H Kochounian, M McMillan.   

Abstract

The hypothesis that the ability of a peptide to bind to a class I molecule correlates with its immunogenicity is controversial. In this paper we have measured the affinity constants of nine synthetic peptides, which have been previously identified as binding to H-2L(d) molecules, and have determined their immunogenicity in an in vitro cytotoxic T lymphocyte (CTL) induction assay. We find that six peptides bind with high affinity (K(a) > 10(7)/M); of these, four are of viral origin but only two elicit potent CTLs, one is a self peptide which is not immunogenic, while the sixth is of bacterial origin and also does not generate effective CTLs. Two peptides bind with intermediate affinity (K(a) > 10(6)/M); one of these elicits a moderate CTL response, while the other, a tumor-derived epitope, is highly immunogenic. Intriguingly, the peptide with lowest affinity (p2Ca) is exceedingly effective at eliciting CTLs. The efficacy of peptides with modest affinity for their restriction elements appears to correlate well with the CTL precursor frequency. We have also examined intrinsic parameters of some of the peptides such as solubility and stability. Taken together, our results underscore the relevance of factors other than affinity which affect immunogenicity and which may be critical in the design of peptide-based vaccines as well as tumor immunotherapy approaches.

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Year:  1997        PMID: 9224969     DOI: 10.1016/s0161-5890(97)00019-9

Source DB:  PubMed          Journal:  Mol Immunol        ISSN: 0161-5890            Impact factor:   4.407


  5 in total

1.  CD8+ T-cell responses against hemoglobin-beta prevent solid tumor growth.

Authors:  Hideo Komita; Xi Zhao; Jennifer L Taylor; Louis J Sparvero; Andrew A Amoscato; Sean Alber; Simon C Watkins; Angela D Pardee; Amy K Wesa; Walter J Storkus
Journal:  Cancer Res       Date:  2008-10-01       Impact factor: 12.701

2.  POPISK: T-cell reactivity prediction using support vector machines and string kernels.

Authors:  Chun-Wei Tung; Matthias Ziehm; Andreas Kämper; Oliver Kohlbacher; Shinn-Ying Ho
Journal:  BMC Bioinformatics       Date:  2011-11-15       Impact factor: 3.169

3.  Structure Based Prediction of Neoantigen Immunogenicity.

Authors:  Timothy P Riley; Grant L J Keller; Angela R Smith; Lauren M Davancaze; Alyssa G Arbuiso; Jason R Devlin; Brian M Baker
Journal:  Front Immunol       Date:  2019-08-28       Impact factor: 7.561

4.  Comprehensive analysis of T cell epitope discovery strategies using 17DD yellow fever virus structural proteins and BALB/c (H2d) mice model.

Authors:  Milton Maciel; Srinivasan N Kellathur; Pryia Chikhlikar; Rafael Dhalia; John Sidney; Alessandro Sette; Thomas J August; Ernesto T A Marques
Journal:  Virology       Date:  2008-06-25       Impact factor: 3.616

5.  Persistent anti-NY-ESO-1-specific T cells and expression of differential biomarkers in a patient with metastatic gastric cancer benefiting from combined radioimmunotherapy treatment: a case report.

Authors:  Maysaloun Merhi; Afsheen Raza; Varghese Philipose Inchakalody; Kodappully S Siveen; Deepak Kumar; Fairooz Sahir; Sarra Mestiri; Shereena Hydrose; Niloofar Allahverdi; Munir Jalis; Allan Relecom; Lobna Al Zaidan; Mohamed Sir Elkhatim Hamid; Mai Mostafa; Abdul Rehman Zar Gul; Shahab Uddin; Mohammed Al Homsi; Said Dermime
Journal:  J Immunother Cancer       Date:  2020-09       Impact factor: 13.751

  5 in total

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