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Evolution of Cancer Vaccines—Challenges, Achievements, and Future Directions
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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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![Figure 1 Basic neoantigen vaccine pipeline. 1. Sample collection. Tumour biopsy and healthy tissue from blood or the surrounding area of the lesion are the starting material for DNA and RNA extraction. 2. Whole exome and transcriptome sequencing. DNA and RNA are used to sequence the whole-exome and transcriptome of the healthy and tumour samples. 3. Tumour-specific non-synonymous mutations. Exome data is processed, and tumour non-synonymous mutations derived from different mutational sources are annotated using specialized packages, such as GATK, VarScan2, FACTERA and ANNOVAR [148,149,150,151]. Comparison of these mutations with the corresponding healthy tissue sequence will pinpoint somatic mutations restricted to the tumour. 4. Selection of transcribed sequences. One of the most important quality control points is the verification that the identified exome mutations have been translated to mRNA and the evaluation of the abundance of the mutated mRNA respect to the wild-type variant. 5. 4-digit HLA-typing. Neoantigens are HLA-type specific. Therefore, patient’s individual HLA-typing are commonly performed using DNA extracted from blood with commercial protocols such as Illumina TruSight HLA v2 Sequencing Panel®. 6. HLA-specific peptides. Long peptides (~19 mer) containing the mutated regions are the input of software such as netMHCpan and netMHCIIpan that predict HLA binding of 8-10-mer sequences for each patient’s HLA-type [152]. 7. Neoantigen validation. Some neoantigen pipelines include the use of software to predict neoantigen immunogenicity based on parameters that include strength of binding to their specific HLA or recognition by the TCR (i.e., NAseek [153], Luksza’s algorithm [154]). Additional wet-lab work can be done to ease the selection of the most promising candidates. For example, DNA barcoded MHC-I multimers can be used to detect neoantigen-specific CD8+ T cells in clinical samples [146]. Unique DNA barcodes (up to 1000) are bound to peptide-loaded-HLA molecules (pHLA) and joined to a fluorescently labelled backbone to generate HLA multimers. Patient’s samples are incubated with a mix of HLA multimers, and HLA multimer+ T cells are sorted based on the fluorescent label. Then, DNA barcodes are sequenced, and the relative number of DNA barcode counts is used to determine the composition of neaontigen-specific T cells in the patient’s sample. Ex vivo stimulation of patient’s cells with APC loaded with the neoantigens of interest, is a common validation protocol [155]. T cell proliferation and cytokine release are two of the major readouts of this method. Often, the immunogenicity of the neoantigen is compare with the one exhibited by the wild-type sequence. 8. Neoantigen vaccine formulation. Patient-specific neoantigen vaccine will be formulated with the selected candidates using the most convenient adjuvants and delivery platforms. (Created in BioRender.com).](/paper-figures/b03215430cf84e64998b8e507bd5e139/evolution-of-cancer-vaccineschallenges-achievements-and-future-directions-figure-1.jpg)

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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.345,350–352”
From Advances in COVID-19 mRNA vaccine development (2022) · cites this paper as [351]
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Metadata
- 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
- 246
- 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 › Bacterial Cancer Therapy
- 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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