Solid-phase epitope recovery: a high throughput method for antigen identification and epitope optimization

The bright side of chemistry: Exploring synthetic peptide-based anticancer vaccines

The present review focuses on synthetic peptide-based vaccine strategies in the context of anticancer intervention, paying attention to critical aspects such as peptide epitope selection, adjuvant integration, and nuanced classification of synthetic peptide cancer vaccines. Within this discussion, we delve into the diverse array of synthetic peptide-based anticancer vaccines, each derived from tumor-associated antigens (TAAs), including melanoma antigen recognized by T cells 1 (Melan-A or MART-1), mucin 1 (MUC1), human epidermal growth factor receptor 2 (HER-2), tumor protein 53 (p53), human telomerase reverse transcriptase (hTERT), survivin, folate receptor (FR), cancer-testis antigen 1 (NY-ESO-1), and prostate-specific antigen (PSA). We also describe the synthetic peptide-based vaccines developed for cancers triggered by oncovirus, such as human papillomavirus (HPV), and hepatitis C virus (HCV). Additionally, the potential synergy of peptide-based vaccines with common therapeutics in cancer was considered. The last part of our discussion deals with the realm of the peptide-based vaccines delivery, highlighting its role in translating the most promising candidates into effective clinical strategies. Although this discussion does not cover all the ongoing peptide vaccine investigations, it aims at offering valuable insights into the chemical modifications and the structural complexities of anticancer peptide-based vaccines.

Medicinal Chemistry and Methodological Advances in the Development of Peptide-Based Vaccines

The evolution of rapidly proliferating infectious and tumorigenic diseases has resulted in an urgent need to develop new and improved intervention strategies. Among the many therapeutic strategies at our disposal, our immune system remains the gold-standard in disease prevention, diagnosis, and treatment. Vaccines have played an important role in eradicating or mitigating the spread of infectious diseases by bolstering our immunity. Despite their utility, the design and development of new, more effective vaccines remains a public health necessity. Peptide-based vaccines have been developed for a wide range of established and emerging infectious and tumorigenic diseases. New innovations in epitope design and selection, synthesis, and formulation as well as screening techniques against immunological targets have led to more effective peptide vaccines. Current and future work is geared toward the translation of peptide vaccines from preclinical to clinical utility.

The sentinel within: exploiting the immune system for cancer biomarkers

The release of proteins from tumors triggers an immune response in cancer patients. These tumor antigens arise from several mechanisms including tumor-specific alterations in protein expression, mutation, folding, degradation, or intracellular localization. Responses to most tumor antigens are rarely observed in healthy individuals, making the response itself a biomarker that betrays the presence of underlying cancer. Antibody immune responses show promise as clinical biomarkers because antibodies have long half-lives in serum, are easy to measure, and are stable in blood samples. However, our understanding of the specificity and the impact of the immune response in early stages of cancer is limited. The immune response to cancer, whether endogenous or driven by vaccines, involves highly specific T lymphocytes (which target tumor-derived peptides bound to self-MHC proteins) and B lymphocytes (which generate antibodies to tumor-derived proteins). T cell target antigens have been identified either by expression cloning from tumor cDNA libraries, or by prediction based on patterns of antigen expression ("reverse immunology"). B cell targets have been similarly identified using the antibodies in patient sera to screen cDNA libraries derived from tumor cell lines. This review focuses on the application of recent advances in proteomics for the identification of tumor antigens. These advances are opening the door for targeted vaccine development, and for using immune response signatures as biomarkers for cancer diagnosis and monitoring.

Stimulation of tumor-reactive T lymphocytes using mixtures of synthetic peptides derived from tumor-associated antigens with diverse MHC binding affinities

The use of reverse immunology may be necessary to identify new tumor-associated antigens, particularly for cancers, against which tumor-reactive T cell populations have been difficult to establish. One approach has been to screen peptides derived from a candidate antigen with high major histocompatibility complex (MHC) binding affinities for the induction of tumor-reactive T lymphocytes in vitro. However, many candidate antigens that are overexpressed in tumors are nonmutated self-proteins, and unlike foreign or mutated proteins, immunodominant epitopes may not be expressed at high density on the surface of tumor cells. Therefore, to identify tumor-associated epitopes, it may be necessary to screen large panels of peptides with wide ranges of MHC binding affinities. The current methodology of stimulating peripheral blood lymphocytes (PBL) from donors expressing the MHC molecule of interest with individual peptides is impractical for screening such large panels. Therefore, we evaluated the use of mixtures of peptides with variable MHC binding affinities for the induction of tumor-reactive T lymphocytes with the melanoma antigens gp100 and an alternate isoform of tyrosinase-related protein 2 (TRP2-6b) as models. A mixture of 10 known human leukocyte antigen (HLA)-A*0201-restricted peptides from gp100 induced melanoma-reactive cytotoxic T lymphoycte (CTL) from multiple patients with metastatic melanoma. The majority of these T cell populations recognized the known immunodominant epitopes gp100:209-217 and gp100:280-288, even though the HLA-A*0201 binding affinities of these peptides were much lower than other peptides in the mixture. Similarly, melanoma-reactive CTL were generated with a mixture of HLA-A*0201-restricted peptides from TRP2-6b, and these responses were directed against the previously identified tumor-associated epitopes TRP2-6b:180-188, TRP2-6b:288-296 and TRP2-6b:403-411. These results suggest that the use of peptide mixtures may facilitate the identification of new tumor-associated antigens through the application of reverse immunology.

The identification of clinically relevant markers and therapeutic targets

The history of tumor biomarker discovery has been one of limited success. Population based screens are few and of limited clinical usefulness. Biomarkers that are able to segregate patients by diagnosis, prognosis and appropriate therapeutic selection are in great need and will be the basis of the clinical management in the future. This review sets out the challenges inherent in the field of tumor biomarker discovery and the tools that we are using to meet that challenge. It is now possible, using this suite of technologies, to discuss novel tumor biomarkers in terms of a pipeline rather than single unique events in research. The future of clinical oncology management will use markers such as those being identified via these techniques to improve patient care through better diagnosis and hopefully to achieve greater success in treatment by exploiting tumor markers as therapeutic targets.