Evidence map›Paper›PMID 38780076›Full record

ArticleHuman vaccines & immunotherapeutics2024

Design and evaluation of a multi-epitope DNA vaccine against HPV16.

Lanfang Zhu, Xiangjie Cui, Zhiling Yan, Yufen Tao, Lei Shi, Xinwen Zhang, Yufeng Yao, Li Shi

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Review
  2. Article
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  4. Article
  5. Article
  6. Review
  7. Designing a novel and effective multi-epitope subunit vaccine against human astrovirus using reverse vaccinology approach.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Advances in Engineering Circular RNA Vaccines.Pathogens (Basel, Switzerland) · 2024
    Review
  15. Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Lanfang ZhuDepartment of Immunogenetics, Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, China.
Xiangjie CuiDepartment of Immunogenetics, Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, China.
Zhiling YanDepartment of Gynaecologic Oncology, The No. 3 Affiliated Hospital of Kunming Medical University, Kunming, China.
Yufen TaoDepartment of Immunogenetics, Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, China.
Lei ShiDepartment of Immunogenetics, Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, China.
Xinwen ZhangDepartment of Immunogenetics, Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, China.
Yufeng YaoYunnan Key Laboratory of Vaccine Research & Development on Severe Infectious Disease, Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, China.
Li ShiDepartment of Immunogenetics, Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, China.ORCID 0000-0001-9508-7863

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer, among the deadliest cancers affecting women globally, primarily arises from persistent infection with high-risk human papillomavirus (HPV). To effectively combat persistent infection and prevent the progression of precancerous lesions into malignancy, a therapeutic HPV vaccine is under development. This study utilized an immunoinformatics approach to predict epitopes of cytotoxic T lymphocytes (CTLs) and helper T lymphocytes (HTLs) using the E6 and E7 oncoproteins of the HPV16 strain as target antigens. Subsequently, through meticulous selection of T-cell epitopes and other necessary elements, a multi-epitope vaccine was constructed, exhibiting good immunogenic, physicochemical, and structural characteristics. Furthermore, in silico simulations showed that the vaccine not only interacted well with toll-like receptors (TLR2/TLR3/TLR4), but also induced a strong innate and adaptive immune response characterized by elevated Th1-type cytokines, such as interferon-gamma (IFN-γ) and interleukin-2 (IL2). Additionally, our study investigated the effects of different immunization intervals on immune responses, aiming to optimize a time-efficient immunization program. In animal model experiments, the vaccine exhibited robust immunogenic, therapeutic, and prophylactic effects. Administered thrice, it consistently induced the expansion of specific CD4 and CD8 T cells, resulting in substantial cytokines release and increased proliferation of memory T cell subsets in splenic cells. Overall, our findings support the potential of this multi-epitope vaccine in combating HPV16 infection and signify its candidacy for future HPV vaccine development.

Indexed as

Epitopes, T-LymphocyteHuman papillomavirus 16Oncogene Proteins, ViralPapillomavirus InfectionsPapillomavirus VaccinesUterine Cervical NeoplasmsVaccines, DNAAnimalsFemaleHumansInterferon-gammaMiceMice, Inbred C57BLPapillomavirus E7 ProteinsRepressor ProteinsT-Lymphocytes, CytotoxicE6 protein, Human papillomavirus type 16Epitopes, T-LymphocyteInterferon-gammaoncogene protein E7, Human papillomavirus type 16Oncogene Proteins, ViralPapillomavirus E7 ProteinsPapillomavirus VaccinesRepressor ProteinsVaccines, DNAcancer vaccineHPVimmune simulationimmunoinformaticsmulti-epitope vaccine

Identifiers

PMID38780076
PMCPMC11123455

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.