Skip to main content

EDITORIAL article

Front. Pharmacol., 23 February 2024
Sec. Experimental Pharmacology and Drug Discovery
This article is part of the Research Topic Synthetic Peptide Vaccine Platforms Targeting Tumor-Specific Antigens: Advances and Challenges View all 5 articles

Editorial: Synthetic peptide vaccine platforms targeting tumor-specific antigens: advances and challenges

Reid M. Rubsamen,
Reid M. Rubsamen1,2*Andrew E. SloanAndrew E. Sloan3
  • 1School of Medicine, Case Western Reserve University, Cleveland, OH, United States
  • 2University Hospitals Cleveland Medical Center, Cleveland, OH, United States
  • 3Piedmont Healthcare, Atlanta, GA, United States

Contributors to our Research Topic have explored issues related to both the discovery and therapeutic aspects of peptide vaccine platforms, specifically in relation to identifying potential antigen targets on tumors. This involves two main areas of focus: the discovery of potentially immunogenic tumor peptide antigen targets and strategies to enhance the immunogenicity of these targets.

Contributions range from description of novel computational techniques for identifying potentially immunogenic peptide antigens on tumors to assessing novel combinations of antigens and TLR agonists.

Advancements in tools for predicting peptide binding to Major Histocompatibility Complex (MHC) are noteworthy, including the integration of deep learning AI in HLA/peptide combination binding predictors (Jumper et al., 2021). It is crucial to emphasize that while MHC binding affinity is a valuable screening metric, it alone does not predict immunogenicity: MHC binding is a necessary but not sufficient condition for specific T-cell expansion and to evoke T-cell effector function (Lee et al., 2021). We believe that confirmation through in-vivo or in-vitro determination of actual TCR MHC/peptide binding characteristics remains an essential part of peptide vaccine design. This confirmation can be achieved indirectly using techniques such as ELISPOT or directly through newer approaches such as TCR sequencing (Ranieri et al., 2021; de Greef Peter et al., 2023).

TLR agonists have also proven to be integral to the latest generation of vaccines. Notably, TLR-4 and TLR-9 agonists have been incorporated into FDA-approved vaccines, significantly improving the immunogenicity of Virus-Like Particle (VLP) and other vaccine designs (Luchner et al., 2021). The use of TLR adjuvants becomes especially significant in the design of synthetic peptide cancer vaccines, considering that exogenously administered short peptides lack the immunogenicity of larger proteins (Jeannin et al., 1993; Khong and Overwijk, 2016).

Addressing this issue, some researchers have opted for single long peptides (SLPs) (Abd-Aziz and Poh, 2022). However, these present challenges as enzyme degradation during antigen processing may cleave SLPs into unintended smaller sequences (Garstka et al., 2015). Even a minor deviation of one amino acid from the predicted immunogenic peptide sequence by vaccine designers may result in the delivered peptide no longer being immunogenic (Gao et al., 2001; Herst et al., 2020).

While mRNA vaccines theoretically enhance the immunogenicity of desired peptide antigen targets by producing peptides within cells via the canonical pathway, recent publications have raised concerns about potential transcription errors inherent to mRNA vaccines (Acevedo-Whitehouse and Bruno, 2023; Gunter et al., 2023; Mulroney et al., 2023). This could lead to situations similar to those observed with SLPs, where delivered peptides deviate from the intended sequence and become non-immunogenic.

Synthetic peptide vaccine platforms offer potential advantages, potentially avoiding the manufacturing complexity and safety issues associated with mRNA vaccines and viral vectors. The tools available for designing peptide vaccines for oncology applications are increasing, holding promise for further developments in the field.

Author contributions

RR: Writing–original draft, Writing–review and editing. AS: Writing–original draft, Writing–review and editing.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Conflict of interest

RR is the CEO and Chief Medical Officer of Flow Pharma, Inc. which is engaged in the development of peptide vaccines.

The remaining author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Abd-Aziz, N., and Poh, C. L. (2022). Development of peptide-based vaccines for cancer. J. Oncol. 2022, 9749363. PMCID: PMC8941562. doi:10.1155/2022/9749363

PubMed Abstract | CrossRef Full Text | Google Scholar

Acevedo-Whitehouse, K., and Bruno, R. (2023). Potential health risks of mRNA-based vaccine therapy: a hypothesis. Med. Hypotheses 171, 111015. Epub 2023 Jan 25. PMID: 36718314; PMCID: PMC9876036. doi:10.1016/j.mehy.2023.111015

PubMed Abstract | CrossRef Full Text | Google Scholar

de Greef Peter, C., Josien, L., Marion, H., Alper, C., Martijn, V., Borghans José, A. M., et al. (2023). On the feasibility of using TCR sequencing to follow a vaccination response – lessons learned. Front. Immunol. 14, 1210168. doi:10.3389/fimmu.2023.1210168

PubMed Abstract | CrossRef Full Text | Google Scholar

Gao, X., Nelson, G. W., Karacki, P., Martin, M. P., Phair, J., Kaslow, R., et al. (2001). Effect of a single amino acid change in MHC class I molecules on the rate of progression to AIDS. N. Engl. J. Med. 344 (22), 1668–1675. doi:10.1056/NEJM200105313442203

PubMed Abstract | CrossRef Full Text | Google Scholar

Garstka, M. A., Fish, A., Celie, P. H., Joosten, R. P., Janssen, G. M., Berlin, I., et al. (2015). The first step of peptide selection in antigen presentation by MHC class I molecules. Proc. Natl. Acad. Sci. U. S. A. 112 (5), 1505–1510. Epub 2015 Jan 20. PMID: 25605945; PMCID: PMC4321303. doi:10.1073/pnas.1416543112

PubMed Abstract | CrossRef Full Text | Google Scholar

Gunter, H. M., Idrisoglu, S., Singh, S., Han, D. J., Ariens, E., Peters, J. R., et al. (2023). mRNA vaccine quality analysis using RNA sequencing. Nat. Commun. 14, 5663. doi:10.1038/s41467-023-41354-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Herst, C. V., Burkholz, S., Sidney, J., Sette, A., Harris, P. E., Massey, S., et al. (2020). An effective CTL peptide vaccine for Ebola Zaire Based on Survivors' CD8+ targeting of a particular nucleocapsid protein epitope with potential implications for COVID-19 vaccine design. Vaccine 38 (28), 4464–4475. Epub 2020 Apr 28. PMID: 32418793; PMCID: PMC7186210. doi:10.1016/j.vaccine.2020.04.034

PubMed Abstract | CrossRef Full Text | Google Scholar

Jeannin, P., Delneste, Y., Buisine, E., Le Mao, J., Didierlaurent, A., Stewart, G. A., et al. (1993). Immunogenicity and antigenicity of synthetic peptides derived from the mite allergen Der p I. Mol. Immunol. 30 (16), 1511–1518. doi:10.1016/0161-5890(93)90459-o

PubMed Abstract | CrossRef Full Text | Google Scholar

Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., et al. (2021). Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589. doi:10.1038/s41586-021-03819-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Khong, H., and Overwijk, W. W. (2016). Adjuvants for peptide-based cancer vaccines. J. Immunother. cancer 4, 56. doi:10.1186/s40425-016-0160-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, C. H., Antanaviciute, A., Buckley, P. R., Simmons, A., and Koohy, H. (2021). To what extent does MHC binding translate to immunogenicity in humans? ImmunoInformatics 3–4, 100006–101190. ISSN. doi:10.1016/j.immuno.2021.100006

PubMed Abstract | CrossRef Full Text | Google Scholar

Luchner, M., Reinke, S., and Milicic, A. (2021). TLR agonists as vaccine adjuvants targeting cancer and infectious diseases. Pharmaceutics 13 (2), 142. PMCID: PMC7911620. doi:10.3390/pharmaceutics13020142

PubMed Abstract | CrossRef Full Text | Google Scholar

Mulroney, T. E., Pöyry, T., Yam-Puc, J. C., Rust, M., Harvey, R. F., Kalmar, L., et al. (2023). N1-methylpseudouridylation of mRNA causes +1 ribosomal frameshifting. Nature 625, 189–194. doi:10.1038/s41586-023-06800-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Ranieri, E., Netti, G. S., and Gigante, M. (2021). “CTL ELISPOT assay and T cell detection,” in Cytotoxic T-cells. Methods in molecular biology, vol 2325. Editors M. Gigante, and E. Ranieri (New York, NY: Humana). doi:10.1007/978-1-0716-1507-2_5

CrossRef Full Text | Google Scholar

Keywords: peptide vaccine, synthetic vaccines, tumor specific antigens, toll like receptor (TLR), MHC binding affinity prediction, TCR sequencing, immunogenicity, ELISpot assay

Citation: Rubsamen RM and Sloan AE (2024) Editorial: Synthetic peptide vaccine platforms targeting tumor-specific antigens: advances and challenges. Front. Pharmacol. 15:1363282. doi: 10.3389/fphar.2024.1363282

Received: 30 December 2023; Accepted: 05 January 2024;
Published: 23 February 2024.

Edited and reviewed by:

Filippo Drago, University of Catania, Italy

Copyright © 2024 Rubsamen and Sloan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Reid M. Rubsamen, reid.rubsamen@uhhospitals.org

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.