Toward next-generation therapeutic HPV vaccines: A review on expanding the antigen repertoire and an integrated bioinformatics selection framework

For successful clinical translation of therapeutic human papillomavirus (HPV) vaccines, optimizing antigen selection is key to enhancing efficacy. Traditional E6/E7 targets are limited by heterogeneous tumor expression. This review advocates expanding the antigen repertoire to include tumor-specific neoantigens in next-generation vaccines. We systematically evaluate established HPV therapeutic antigens and vaccine platforms, and comprehensively explore the frontier of novel antigens, advanced screening technologies, and recent vaccine innovations. Central is a bioinformatics-guided antigen selection framework spanning multi-omics analysis, immunogenicity prediction, and vaccine design. Key selection parameters - including antigen clonality, expression level, major histocompatibility complex (MHC) binding affinity and stability, and immunogenic potential - are critically assessed alongside state-of-the-art computational tools. By proposing standardized selection criteria and optimization strategies, this review aims to provide a roadmap for developing more potent and broadly effective therapeutic vaccines, ultimately bridging the gap between the molecular etiology of HPV-associated cancers and successful therapeutic discovery.

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Publication Details

Journal
Human Vaccines & Immunotherapeutics
Published
2026-01-22
DOI
https://doi.org/10.1080/21645515.2025.2610899
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
0.00
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article

Toward next-generation therapeutic HPV vaccines: A review on expanding the antigen repertoire and an integrated bioinformatics selection framework

Shuaiqingying Guo, K. Li, Dudu Zhang, Jing Yuan et al.
Human Vaccines & Immunotherapeutics
vaccines and immunoinformatics approaches
article

Toward next-generation therapeutic HPV vaccines: A review on expanding the antigen repertoire and an integrated bioinformatics selection framework

Shuaiqingying Guo, K. Li, Dudu Zhang, Jing Yuan, Ya‐Mei Hu, Yingyan Han
article en

Abstract

For successful clinical translation of therapeutic human papillomavirus (HPV) vaccines, optimizing antigen selection is key to enhancing efficacy. Traditional E6/E7 targets are limited by heterogeneous tumor expression. This review advocates expanding the antigen repertoire to include tumor-specific neoantigens in next-generation vaccines. We systematically evaluate established HPV therapeutic antigens and vaccine platforms, and comprehensively explore the frontier of novel antigens, advanced screening technologies, and recent vaccine innovations. Central is a bioinformatics-guided antigen selection framework spanning multi-omics analysis, immunogenicity prediction, and vaccine design. Key selection parameters - including antigen clonality, expression level, major histocompatibility complex (MHC) binding affinity and stability, and immunogenic potential - are critically assessed alongside state-of-the-art computational tools. By proposing standardized selection criteria and optimization strategies, this review aims to provide a roadmap for developing more potent and broadly effective therapeutic vaccines, ultimately bridging the gap between the molecular etiology of HPV-associated cancers and successful therapeutic discovery.

Human Vaccines & ImmunotherapeuticsVol. 22(1)
Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 80%
vaccines and immunoinformatics approaches
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