Immunoinformatics applications in the development of therapeutic vaccines against human papillomavirus-related infections and cervical cancer

Rev Med Virol. 2023 Sep;33(5):e2463. doi: 10.1002/rmv.2463. Epub 2023 Jun 8.

Abstract

The human papillomavirus (HPV) represents the most prevalent sexually transmitted infectious agent worldwide. HPV penetrates the epithelium through microlesions and establishes an infectious focus that can lead to the development of cervical cancer. Prophylactic HPV vaccines are available, but do not affect already-established infections. Using in silico prediction tools is a promising strategy for identifying and selecting vaccine candidate T cell epitopes. An advantage of this strategy is that epitopes can be selected according to the degree of conservation within a group of antigenic proteins. This makes achieving comprehensive genotypic coverage possible with a small set of epitopes. Therefore, this paper revises the general characteristics of HPV biology and the current knowledge on developing therapeutic peptide vaccines against HPV-related infections and cervical cancer.

Keywords: bioinformatics; epitope prediction; human papillomavirus; vaccines.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Epitopes
  • Female
  • Human Papillomavirus Viruses
  • Humans
  • Papillomavirus Infections* / prevention & control
  • Papillomavirus Vaccines* / therapeutic use
  • Uterine Cervical Neoplasms* / prevention & control

Substances

  • Papillomavirus Vaccines
  • Epitopes