The DOI matches its Crossref record; 233 of the 246 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures
![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)

Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
Improved Survival with Ipilimumab in Patients with Metastatic Melanoma
Hodi, F. S., O'Day, S. J., McDermott, D. F., Weber, R. W., Sosman, J. A., Haanen, J. B., Gonzalez, R., Robert, C., Schadendorf, D., Hassel, J. C., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1003466 · Cited by 15,155
ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data
Wang, K., Li, M., & Hakonarson, H. H. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq603 · Cited by 14,724
Safety and Efficacy of the BNT162b2 mRNA Covid-19 Vaccine
Polack, F. P., Thomas, S. J., Kitchin, N., Absalon, J., Gurtman, A., Lockhart, S., Perez, J. L., Pérez Marc, G., Moreira, E. D., Zerbini, C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2034577 · Cited by 14,592
Slamon, D. J., Clark, G. M., Wong, S. G., Levin, W. J., Ullrich, A., & McGuire, W. L. (1987) · Science · doi:10.1126/science.3798106 · Cited by 11,760
Efficacy and Safety of the mRNA-1273 SARS-CoV-2 Vaccine
Baden, L. R., El Sahly, H. M., Essink, B., Kotloff, K., Frey, S., Novak, R., Diemert, D., Spector, S. A., Rouphael, N., Creech, C. B., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2035389 · Cited by 10,119
Mosmann, T. R., & Coffman, R. L. (1989) · Annual Review of Immunology · doi:10.1146/annurev.iy.07.040189.001045 · Cited by 7,692
Vogelstein, B., Lane, D., & Levine, A. J. (2000) · Nature · doi:10.1038/35042675 · Cited by 6,607
Sipuleucel-T Immunotherapy for Castration-Resistant Prostate Cancer
Kantoff, P. W., Higano, C. S., Shore, N. D., Berger, E. R., Small, E. J., Penson, D. F., Redfern, C. H., Ferrari, A. C., Dreicer, R., Sims, R. B., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1001294 · Cited by 5,572
Elements of cancer immunity and the cancer–immune set point
Chen, D. S., & Mellman, I. (2017) · Nature · doi:10.1038/nature21349 · Cited by 5,352
Research works printed but not linked: 3
- Higano, C. (2009, January 26–28). A phase III trial of GVAX immunotherapy for prostate cancer versus docetaxel plus prednisone in asymptomatic, castration-resistant prostate cancer (CRPC). Proceedings of the 2009 Genitourinary Cancer Symposium, American Society of Clinical Oncology (ASCO), Orlando, FL, USA.
- Small, E. (2009, January 26–28). A phase III trial of GVAX immunotherapy for prostate cancer in combination with docetaxel versus docetaxel plus prednisone in symptomatic, castration-resistant prostate cancer (CRPC). Proceedings of the 2009 Genitourinary Cancer Symposium, American Society of Clinical Oncology (ASCO), Orlando, FL, USA.
- Laus, 2001, Dendritic cell immunotherapy of prostate cancer: Preclinical models and early clinical experience, Cancer Res. Ther. Control., 11, 1
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
Immunotherapy in hematologic malignancies: achievements, challenges and future prospects
Tang, L., Huang, Z., Mei, H., & Hu, Y. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01521-5 · Cited by 181
Živanić, M., Espona‐Noguera, A., Lin, A. G., & Canal, C. (2023) · Advanced Science · doi:10.1002/advs.202205803 · Cited by 94
Cancer Nanovaccines: Mechanisms, Design Principles, and Clinical Translation
Zaccariotto, G. D. C., Bistaffa, M. J., Zapata, A. M. M., Rodero, C. F., Coelho, F. M., Quitiba, J. V. B., de Lima, L. L. P., Sterman, R. G., Cardoso, V. M. D. O., & Zucolotto, V. (2025) · ACS Nano · doi:10.1021/acsnano.4c15765 · Cited by 54
Revolutionizing cancer treatment: The power of dendritic cell-based vaccines in immunotherapy
Sheykhhasan, M., Ahmadieh-Yazdi, A., Heidari, R., Chamanara, M., Akbari, M., Poondla, N., Yang, P., Malih, S., Manoochehri, H., Tanzadehpanah, H., et al. (2025) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2025.117858 · Cited by 43
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 ›
Are you an author, or do you see a problem with this page? Request a review