Evolution of Cancer Vaccines—Challenges, Achievements, and Future Directions
Open accessAbstract
The development of cancer vaccines has been intensively pursued over the past 50 years with modest success. However, recent advancements in the fields of genetics, molecular biology, biochemistry, and immunology have renewed interest in these immunotherapies and allowed the development of promising cancer vaccine candidates. Numerous clinical trials testing the response evoked by tumour antigens, differing in origin and nature, have shed light on the desirable target characteristics capable of inducing strong tumour-specific non-toxic responses with increased potential to bring clinical benefit to patients. Novel delivery methods, ranging from a patient’s autologous dendritic cells to liposome nanoparticles, have exponentially increased the abundance and exposure of the antigenic payloads. Furthermore, growing knowledge of the mechanisms by which tumours evade the immune response has led to new approaches to reverse these roadblocks and to re-invigorate previously suppressed anti-tumour surveillance. The use of new drugs in combination with antigen-based therapies is highly targeted and may represent the future of cancer vaccines. In this review, we address the main antigens and delivery methods used to develop cancer vaccines, their clinical outcomes, and the new directions that the vaccine immunotherapy field is taking.
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Previous studies have demonstrated that the use of BNT111 alone or in combination with PD-1 antibody can activate tumor antigen-specific CD4+ and CD8+ T cells and elicit durable immune responses.
“Previous studies have demonstrated that the use of BNT111 alone or in combination with PD-1 antibody can activate tumor antigen-specific CD4+ and CD8+ T cells and elicit durable immune responses.345,350–352”
From Advances in COVID-19 mRNA vaccine development (2022) · cites this paper as [351]
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Liu, S., Matsuzaki, J., Wei, L., Tsuji, T., Battaglia, S., Hu, Q., Cortes, E., Wong, L.-P., Yan, L., Long, M. D., et al. (2019) · Journal for ImmunoTherapy of Cancer · doi:10.1186/s40425-019-0629-6 · Cited by 84 · see citing works
Dijkgraaf, E. M., Santegoets, S. J. A. M., Reyners, A. K. L., Goedemans, R., Nijman, H. W., van Poelgeest, M. I. E., van Erkel, A. R., Smit, V. T. H. B. M., Daemen, T., van der Hoeven, J. J. M., et al. (2015) · Oncotarget · doi:10.18632/oncotarget.4772 · Cited by 83 · see citing works
Recommendations for performance optimizations when using GATK3.8 and GATK4
Heldenbrand, J. R., Baheti, S., Bockol, M. A., Drucker, T., Hart, S. N., Hudson, M. E., Iyer, R. K., Kalmbach, M. T., Kendig, K. I., Klee, E. W., et al. (2019) · BMC Bioinformatics · doi:10.1186/s12859-019-3169-7 · Cited by 82 · see citing works
Host Responses from Innate to Adaptive Immunity after Vaccination: Molecular and Cellular Events
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QS-21: A Potent Vaccine Adjuvant
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Flagged first, then by citations
Research works printed but not linked: 2
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Cited by
Sorted by citations
Advances in COVID-19 mRNA vaccine development
Fang, E., Liu, X., Li, M., Zhang, Z., Song, L., Zhu, B., Wu, X., Liu, J., Zhao, D., & Li, Y. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-00950-y · Cited by 601 · see citing works
- Authors
- Tay, B. Q., Wright, Q., Ladwa, R., Perry, C., Leggatt, G., Simpson, F., Wells, J. W., Panizza, B. J., Frazer, I. H., & Cruz, J. L. G.
- Affiliations
- The University of Queensland (AU)
- Corresponding author
- Cruz, Jazmina L. G.
- ORCID
- Venue
- Vaccines
- Publisher
- MDPI AG
- Published
- 2021-05-20
- Volume
- 9
- Issue
- 5
- Pages
- 535
- ISSN
- 2076-393X (ISSN-L)
- PMC
- PMC8160852
- OpenAlex
- W3165800301
- Cited by
- 76
- References
- 234
- Citations by year
- 2026: 8 · 2025: 15 · 2024: 15 · 2023: 22 · 2022: 12 · 2021: 4
- FWCI
- 1.36
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Vaccines (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Garnett Passe and Rodney Williams Memorial Foundation (2019_CG_Gonzalez Cruz_Perry)
- PA Research Foundation (Panizza_Cruz_2021)
- National Health and Medical Research Council (Investigator grant_Frazer_2020)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biotechnology › Cancer Research and Treatments
- Keywords
- cancer vaccines, tumor antigens, vaccine delivery, dendritic cell vaccine, nanoliposomes, tumor immune evasion, antitumor immunity, combination immunotherapy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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