Determination of the immunogenetic risk of developing cancer.

e13132 Background: Association between certain HLA types and cancer is well known. We hypothesized that the number of epitopes of tumor antigens presented by autologous HLAs characterizes a patient’s capacity to kill tumor cells. These CD8+ T cell epitopes are presented by 6 out of >13,000 known HLA class I alleles and induce extremely variable tumor-specific T-cell responses. Methods: We predicted HLA-binding epitopes from 48 frequently expressed tumor antigens in subjects characterized with 6 HLA class I alleles. To develop the “HLA Score” cancer risk predictor we used epitopes binding to multiple HLAs of a subject. The predictor was trained on 5,789 non-American subjects. To identify populations with high and low immunogenetic risk to develop cancer we compared the HLA Score of American cancer subjects to a general population of American subjects (1,400 subjects). The performance of the predictor was characterized with AUC and Risk Ratio. Due to Bonferroni correction, AUC values with p-value p<0.007 was accepted as significant. Results: “HLA Score” predictor significantly separated cancer patients from the general population in six out of the seven investigated cancer types. The Risk Ratios between the most protected and most at risk subpopulations ranged between 2.38 and 5.67 (Table). Cancer risk prediction with HLA Score. Conclusions: Subjects with certain HLA class I alleles have high risk of developing cancer. The novel “HLA Score” predictor we introduced here could complement current testing used for determination of the genetic risk of cancer.[Table: see text]

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Synthetic peptide libraries in the determination of T cell epitopes and peptide binding specificity of class I molecules

European Journal of Immunology ◽

10.1002/eji.1830220612 ◽

1992 ◽

Vol 22 (6) ◽

pp. 1405-1412 ◽

Cited By ~ 20

Author(s):

Ton N. M. Schumacher ◽

Grada M. Van Bleek ◽

Marie-ThéRèSe Heemels ◽

Karl Deres ◽

Ka Wan Li ◽

...

Keyword(s):

T Cell ◽

Synthetic Peptide ◽

Peptide Binding ◽

Binding Specificity ◽

Peptide Libraries ◽

Class I ◽

T Cell Epitopes ◽

Peptide Binding Specificity

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Public T-cell epitopes shared among SARS-CoV-2 variants are presented on prevalent HLA class I alleles

10.1101/2021.10.13.463911 ◽

2021 ◽

Author(s):

Saskia Meyer ◽

Isaac Blaas ◽

Ravi Chand Bollineni ◽

Marina Delic-Sarac ◽

Trung T Tran ◽

...

Keyword(s):

T Cell ◽

Cell Response ◽

T Cell Responses ◽

Hla Class I ◽

Cd8 T Cell ◽

T Cell Response ◽

Class I ◽

T Cell Epitopes ◽

Low Frequencies ◽

Cell Responses

T-cell epitopes with broad population coverage may form the basis for a new generation of SARS-CoV-2 vaccines. However, published studies on immunoprevalence are limited by small test cohorts, low frequencies of antigen-specific cells and lack of data correlating eluted HLA ligands with T-cell responsiveness. Here, we investigate CD8 T-cell responses to 48 peptides eluted from prevalent HLA alleles, and an additional 84 predicted binders, in a large cohort of convalescents (n=83) and pre-pandemic control samples (n=19). We identify nine conserved SARS-CoV-2 specific epitopes restricted by four of the most prevalent HLA class I alleles in Caucasians, to which responding CD8 T cells are detected in 70-100% of convalescents expressing the relevant HLA allele, including two novel epitopes. We find a strong correlation between immunoprevalence and immunodominance. Using a new algorithm, we predict that a vaccine including these epitopes would induce a T cell response in 83% of Caucasians. Significance Statement: Vaccines that induce broad T-cell responses may boost immunity as protection from current vaccines against SARS-CoV-2 is waning. From a manufacturing standpoint, and to deliver the highest possible dose of the most immunogenic antigens, it is rational to limit the number of epitopes to those inducing the strongest immune responses in the highest proportion of individuals in a population. Our data show that the CD8 T cell response to SARS-CoV-2 is more focused than previously believed. We identify nine conserved SARS-CoV-2 specific CD8 T cell epitopes restricted by four of the most prevalent HLA class I alleles in Caucasians and demonstrate that seven of these are endogenously presented.

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HLA Class I-Restricted Cytotoxic T-Cell Epitopes of the Respiratory Syncytial Virus Fusion Protein

Journal of Virology ◽

10.1128/jvi.74.21.10240-10244.2000 ◽

2000 ◽

Vol 74 (21) ◽

pp. 10240-10244 ◽

Cited By ~ 34

Author(s):

A. H. Brandenburg ◽

L. de Waal ◽

H. H. Timmerman ◽

P. Hoogerhout ◽

R. L. de Swart ◽

...

Keyword(s):

Respiratory Syncytial Virus ◽

T Cell ◽

Cytotoxic T Lymphocytes ◽

Hla Class I ◽

Class I ◽

Cytotoxic T Cell ◽

T Cell Epitopes ◽

Cell Clones ◽

Rsv Infection ◽

Syncytial Virus

ABSTRACT Virus-specific cytotoxic T lymphocytes (CTL) play a major role in the clearance of respiratory syncytial virus (RSV) infection. We have generated cytotoxic T-cell clones (TCC) from two infants who had just recovered from severe RSV infection. These TCC were functionally characterized and used to identify HLA class I (B57 and C12)-restricted CTL epitopes of RSV.

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HLA Class I-T Cell Epitopes from trans-Sialidase Proteins Reveal Functionally Distinct Subsets of CD8+ T Cells in Chronic Chagas Disease

PLoS Neglected Tropical Diseases ◽

10.1371/journal.pntd.0000288 ◽

2008 ◽

Vol 2 (9) ◽

pp. e288 ◽

Cited By ~ 52

Author(s):

María G. Alvarez ◽

Miriam Postan ◽

D. Brent Weatherly ◽

María C. Albareda ◽

John Sidney ◽

...

Keyword(s):

T Cells ◽

T Cell ◽

Chagas Disease ◽

Cd8 T Cells ◽

Hla Class I ◽

Class I ◽

T Cell Epitopes ◽

Chronic Chagas Disease

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Immunoinformatic identification of B cell and T cell epitopes in the SARS-CoV-2 proteome

10.1101/2020.05.14.093757 ◽

2020 ◽

Author(s):

Stephen N. Crooke ◽

Inna G. Ovsyannikova ◽

Richard B. Kennedy ◽

Gregory A. Poland

Keyword(s):

T Cell ◽

B Cell ◽

Selection Criteria ◽

Vaccine Development ◽

Hla Class I ◽

Class Ii ◽

Class I ◽

T Cell Epitopes ◽

B Cell Epitopes ◽

Novel Coronavirus

AbstractA novel coronavirus (SARS-CoV-2) emerged from China in late 2019 and rapidly spread across the globe, infecting millions of people and generating societal disruption on a level not seen since the 1918 influenza pandemic. A safe and effective vaccine is desperately needed to prevent the continued spread of SARS-CoV-2; yet, rational vaccine design efforts are currently hampered by the lack of knowledge regarding viral epitopes targeted during an immune response, and the need for more in-depth knowledge on betacoronavirus immunology. To that end, we developed a computational workflow using a series of open-source algorithms and webtools to analyze the proteome of SARS-CoV-2 and identify putative T cell and B cell epitopes. Using increasingly stringent selection criteria to select peptides with significant HLA promiscuity and predicted antigenicity, we identified 41 potential T cell epitopes (5 HLA class I, 36 HLA class II) and 6 potential B cell epitopes, respectively. Docking analysis and binding predictions demonstrated enrichment for peptide binding to HLA-B (class I) and HLA-DRB1 (class II) molecules. Overlays of predicted B cell epitopes with the structure of the viral spike (S) glycoprotein revealed that 4 of 6 epitopes were located in the receptor-binding domain of the S protein. To our knowledge, this is the first study to comprehensively analyze all 10 (structural, non-structural and accessory) proteins from SARS-CoV-2 using predictive algorithms to identify potential targets for vaccine development.Significance StatementThe novel coronavirus SARS-CoV-2 recently emerged from China, rapidly spreading and ushering in a global pandemic. Despite intensive research efforts, our knowledge of SARS-CoV-2 immunology and the proteins targeted by the immune response remains relatively limited, making it difficult to rationally design candidate vaccines. We employed a suite of bioinformatic tools, computational algorithms, and structural modeling to comprehensively analyze the entire SARS-CoV-2 proteome for potential T cell and B cell epitopes. Utilizing a set of stringent selection criteria to filter peptide epitopes, we identified 41 T cell epitopes (5 HLA class I, 36 HLA class II) and 6 B cell epitopes that could serve as promising targets for peptide-based vaccine development against this emerging global pathogen.

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A systematic, unbiased mapping of CD8+ and CD4+ T cell epitopes in Yellow Fever vaccinees

10.1101/2020.03.28.012468 ◽

2020 ◽

Cited By ~ 1

Author(s):

Anette Stryhn ◽

Michael Kongsgaard ◽

Michael Rasmussen ◽

Mikkel Nors Harndahl ◽

Thomas Østerbye ◽

...

Keyword(s):

T Cell ◽

Yellow Fever ◽

Cell Epitope ◽

T Cell Responses ◽

Hla Class I ◽

Class I ◽

T Cell Epitope ◽

T Cell Epitopes ◽

Cell Responses ◽

Epitope Discovery

1.AbstractExamining CD8+ and CD4+ T cell responses after primary Yellow Fever vaccination in a cohort of 210 volunteers, we have identified and tetramer-validated 92 CD8+ and 50 CD4+ T cell epitopes, many inducing strong and prevalent (i.e. immunodominant) T cell responses. Restricted by 40 and 14 HLA-class I and II allotypes, respectively, these responses have wide population coverage and might be of considerable academic, diagnostic and therapeutic interest. The broad coverage of epitopes and HLA overcame the otherwise confounding effects of HLA diversity and non-HLA background providing the first evidence of T cell immunodomination in humans. Also, double-staining of CD4+ T cells with tetramers representing the same HLA-binding core, albeit with different flanking regions, demonstrated an extensive diversification of the specificities of many CD4+ T cell responses. We suggest that this could reduce the risk of pathogen escape, and that multi-tetramer staining is required to reveal the true magnitude and diversity of CD4+ T cell responses. Our T cell epitope discovery approach uses a combination of 1) overlapping peptides representing the entire Yellow Fever virus proteome to search for peptides containing CD4+ and/or CD8+ T cell epitopes, 2) predictors of peptide-HLA binding to suggest epitopes and their restricting HLA allotypes, 3) generation of peptide-HLA tetramers to identify T cell epitopes, and 4) analysis of ex vivo T cell responses to validate the same. This approach is systematic, exhaustive, and can be done in any individual of any HLA haplotype. It is all-inclusive in the sense that it includes all protein antigens and peptide epitopes, and encompasses both CD4+ and CD8+ T cell epitopes. It is efficient and, importantly, reduces the false discovery rate. The unbiased nature of the T cell epitope discovery approach presented here should support the refinement of future peptide-HLA class I and II predictors and tetramer technologies, which eventually should cover all HLA class I and II isotypes. We believe that future investigations of emerging pathogens (e.g. SARS-CoV-2) should include population-wide T cell epitope discovery using blood samples from patients, convalescents and/or long-term survivors, who might all hold important information on T cell epitopes and responses.

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HLA Class I Binding Promiscuity of the CD8 T-Cell Epitopes of Human Papillomavirus Type 16 E6 Protein

Journal of Virology ◽

10.1128/jvi.01768-06 ◽

2006 ◽

Vol 81 (3) ◽

pp. 1412-1423 ◽

Cited By ~ 24

Author(s):

Mayumi Nakagawa ◽

Kevin H. Kim ◽

Tiffany M. Gillam ◽

Anna-Barbara Moscicki

Keyword(s):

Human Papillomavirus ◽

T Cell ◽

Hla Class I ◽

Cd8 T Cell ◽

Hpv Infection ◽

Amino Acid Sequences ◽

Class I ◽

T Cell Epitopes ◽

Hpv 16 ◽

E6 Protein

ABSTRACT One of the critical steps in the progression to cervical cancer appears to be the establishment of persistent human papillomavirus (HPV) infection. We have demonstrated that the lack of cytotoxic T-lymphocyte response to HPV type 16 (HPV 16) E6 protein was associated with persistence and that the potential presence of dominant CD8 T-cell epitopes was most frequently found (n = 4 of 23) in the E6 16-40 region by examining the pattern of CD8 T-cell epitopes within the E6 protein in women who had cleared their HPV 16 infections. The goal of this study was to define the minimal/optimal amino acid sequences and the HLA restricting molecules of these dominant CD8 T-cell epitopes as well as those of subdominant ones if present. Three dominant epitopes, E6 29-38 (TIHDIILECV; restricted by the HLA-A0201 molecule), E6 29-37 (TIHDIILEC; restricted by B48), and E6 31-38 (HDIILECV; restricted by B4002), and one subdominant epitope, E6 52-61 (FAFRDLCIVY; restricted by B35) were characterized. Taken together with a previously described dominant epitope, E6 52-61 (FAFRDLCIVY; restricted by B57), the CD8 T-cell epitopes demonstrated striking HLA class I binding promiscuity. All of these epitopes were endogenously processed, but the presence of only two of the five epitopes could have been predicted based on the known binding motifs. The HLA class I promiscuity which has been described for human immunodeficiency virus may be more common than previously recognized.

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