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Published on: March 15, 2019
Toward next-generation therapeutic HPV vaccines: A review on expanding the antigen repertoire and an integrated
Dudu Zhang1,2,3, Shuaiqingying Guo1,2,3, Jing Yuan1,2,3
1Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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.
Insights
Next-generation therapeutic human papillomavirus (HPV) vaccines require novel antigen selection beyond traditional targets. This review proposes a bioinformatics framework to identify potent tumor-specific neoantigens for improved HPV cancer treatment.
Area of Science:
- Oncology
- Vaccinology
- Bioinformatics
Background:
- Therapeutic human papillomavirus (HPV) vaccines are crucial for treating HPV-associated cancers.
- Current vaccines face limitations due to heterogeneous tumor expression of traditional E6/E7 antigens.
Purpose of the Study:
- To review established and novel antigens for therapeutic HPV vaccines.
- To propose a bioinformatics-guided framework for selecting optimal tumor-specific neoantigens.
- To provide a roadmap for developing more effective next-generation HPV vaccines.
Main Methods:
- Systematic evaluation of existing HPV therapeutic antigens and vaccine platforms.
- Exploration of novel antigens, screening technologies, and vaccine innovations.
- Development of a bioinformatics framework integrating multi-omics analysis, immunogenicity prediction, and vaccine design.
Main Results:
- Assessment of key antigen selection parameters: clonality, expression level, MHC binding affinity, stability, and immunogenic potential.
- Critical evaluation of computational tools for antigen screening and selection.
- Identification of standardized criteria and optimization strategies for antigen selection.
Conclusions:
- Expanding the antigen repertoire to include tumor-specific neoantigens is essential for next-generation HPV vaccines.
- A bioinformatics-guided approach enhances the selection of potent and broadly effective therapeutic antigens.
- Standardized selection criteria will accelerate the development of successful therapeutic HPV vaccines for HPV-associated cancers.
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