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A Comprehensive in Silico Analysis for Identification of Immunotherapeutic Epitopes of HPV-18

Human papillomavirus (HPV) remains the major cause of cervical cancer, globally. High risk HPV (Hr-HPV) 16 and 18 together account for more than 70% of cervical cancer cases, whereas the hr-HPV-18 is the second most prevalent hr-HPV type, causing about 5.2% of all cancers worldwide. Considering the...

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Autores principales: Gupta, Bharti, Kumar, Anoop, Sridevi, Parikipandla
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8451162/
https://www.ncbi.nlm.nih.gov/pubmed/34566544
http://dx.doi.org/10.1007/s10989-021-10285-x
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author Gupta, Bharti
Kumar, Anoop
Sridevi, Parikipandla
author_facet Gupta, Bharti
Kumar, Anoop
Sridevi, Parikipandla
author_sort Gupta, Bharti
collection PubMed
description Human papillomavirus (HPV) remains the major cause of cervical cancer, globally. High risk HPV (Hr-HPV) 16 and 18 together account for more than 70% of cervical cancer cases, whereas the hr-HPV-18 is the second most prevalent hr-HPV type, causing about 5.2% of all cancers worldwide. Considering the high prevalence and mortality rate, cervical cancer remains a noteworthy health problem among women. As of now, no registered immunotherapies are available after the HPV infection. Thus, developing an immunotherapeutic candidate against hr-HPV would be of major clinical benefit. Nowadays, the T-and B-cell peptide based targeted vaccines have been considered as the best candidate for vaccine development against viral infections. In this study, both prophylactic and therapeutic vaccine candidates against hr-HPV-18 were predicted. To achieve this, the prediction of T-and B-cell epitopes of major histocompatibility complex (MHC) were accomplished, that can be used for HPV immunotherapy. For MHC-I, a maximum number (20) of potent peptides were found, against HLA-B*51:01 (L1 = 9, L2 = 6, E2 = 4, and E4 = 1) having percentile value < 1 and, immunogenicity scores higher than 0.5, followed by HLA-A*11:01 (L1 = 8, E2 = 7 L2 = 2, and E6 = 1, E7 = 1); 19 epitopes. For MHC-II, the highest number of peptides found, against the HLA-DRB1*04:01 (L2 = 10, E5 = 7, and E4 = 4), HLA-DRB1*04:05 (E5 = 7, E2 = 5, E4 = 5, and L1 = 4) HLA-DPA1*01:03/DPB1*04:01 (E7 = 7, E6 = 5, L2 = 5, and E2 = 2), HLA-DRB5*01:01(E6 = 6, L1 = 6, and L2 = 6); peptides 21, 21, 19 and 18 respectively. For B-cell, total 94, 16 amino acid long B-cell epitopes were predicted. In conclusion, these predicted epitopes can be valuable candidates for in vitro or in vivo therapeutic vaccine studies against hr-HPV-18 associated cancer.
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spelling pubmed-84511622021-09-20 A Comprehensive in Silico Analysis for Identification of Immunotherapeutic Epitopes of HPV-18 Gupta, Bharti Kumar, Anoop Sridevi, Parikipandla Int J Pept Res Ther Article Human papillomavirus (HPV) remains the major cause of cervical cancer, globally. High risk HPV (Hr-HPV) 16 and 18 together account for more than 70% of cervical cancer cases, whereas the hr-HPV-18 is the second most prevalent hr-HPV type, causing about 5.2% of all cancers worldwide. Considering the high prevalence and mortality rate, cervical cancer remains a noteworthy health problem among women. As of now, no registered immunotherapies are available after the HPV infection. Thus, developing an immunotherapeutic candidate against hr-HPV would be of major clinical benefit. Nowadays, the T-and B-cell peptide based targeted vaccines have been considered as the best candidate for vaccine development against viral infections. In this study, both prophylactic and therapeutic vaccine candidates against hr-HPV-18 were predicted. To achieve this, the prediction of T-and B-cell epitopes of major histocompatibility complex (MHC) were accomplished, that can be used for HPV immunotherapy. For MHC-I, a maximum number (20) of potent peptides were found, against HLA-B*51:01 (L1 = 9, L2 = 6, E2 = 4, and E4 = 1) having percentile value < 1 and, immunogenicity scores higher than 0.5, followed by HLA-A*11:01 (L1 = 8, E2 = 7 L2 = 2, and E6 = 1, E7 = 1); 19 epitopes. For MHC-II, the highest number of peptides found, against the HLA-DRB1*04:01 (L2 = 10, E5 = 7, and E4 = 4), HLA-DRB1*04:05 (E5 = 7, E2 = 5, E4 = 5, and L1 = 4) HLA-DPA1*01:03/DPB1*04:01 (E7 = 7, E6 = 5, L2 = 5, and E2 = 2), HLA-DRB5*01:01(E6 = 6, L1 = 6, and L2 = 6); peptides 21, 21, 19 and 18 respectively. For B-cell, total 94, 16 amino acid long B-cell epitopes were predicted. In conclusion, these predicted epitopes can be valuable candidates for in vitro or in vivo therapeutic vaccine studies against hr-HPV-18 associated cancer. Springer Netherlands 2021-09-20 2021 /pmc/articles/PMC8451162/ /pubmed/34566544 http://dx.doi.org/10.1007/s10989-021-10285-x Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Gupta, Bharti
Kumar, Anoop
Sridevi, Parikipandla
A Comprehensive in Silico Analysis for Identification of Immunotherapeutic Epitopes of HPV-18
title A Comprehensive in Silico Analysis for Identification of Immunotherapeutic Epitopes of HPV-18
title_full A Comprehensive in Silico Analysis for Identification of Immunotherapeutic Epitopes of HPV-18
title_fullStr A Comprehensive in Silico Analysis for Identification of Immunotherapeutic Epitopes of HPV-18
title_full_unstemmed A Comprehensive in Silico Analysis for Identification of Immunotherapeutic Epitopes of HPV-18
title_short A Comprehensive in Silico Analysis for Identification of Immunotherapeutic Epitopes of HPV-18
title_sort comprehensive in silico analysis for identification of immunotherapeutic epitopes of hpv-18
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8451162/
https://www.ncbi.nlm.nih.gov/pubmed/34566544
http://dx.doi.org/10.1007/s10989-021-10285-x
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