Tinkering with nature: the tale of optimizing peptide based cancer vaccines

In silico study of the association of the HLA-A*31:01 allele (human leucocyte antigen allele 31:01) with neuroantigenic epitopes of PLP (proteolipid protein), MBP (myelin basic protein) and MOG proteins (myelin oligodendrocyte glycoprotein) for studying the multiple sclerosis disease pathogenesis

The main pathologic hallmark of multiple sclerosis is a demyelinating plaque that contains a prominent immunologic response dominated by T cells of the immune system. PLP (proteolipid protein), MPB (myelin basic protein), and Myelin oligodendrocyte glycoprotein (MOG) proteins are important autoantigens for the demyelinating of CNS in multiple sclerosis. There is good evidence indicating that T CD8⁺ cells and MHC class I molecules play an important role in this disease. The HLA-A*31:01 allele of MHC class I is a member of HLA-A3 superfamily and there is no clear report concerning the relationship of this allele with MS. Feeling this gap, we studied the possible association of the HLA-A*31:01 with MS by prediction of neuroantigenic epitopes of human MBP, PLP, and MOG proteins of myelin sheath using in silico methods. PLP did not show any neuroantigenic epitope, but the two epitopes of MBP and seven epitopes of MOG for HLA-A*31:01 were determined via bioinformatics servers. In silico study of the nine epitope showed that MOG195-204 (LIICYNWLHR) peptide of the membrane-associated/cytoplasmic part of human MOG has suitable binding affinity to the HLA-A*31:01 allele as a potential neuroantigenic epitope. Further investigations of this peptide revealed that the binding of C-terminal residue of this peptide has a more significant effect on binding to this allele than the N-terminal part of the peptide. Altogether, this combination of "LIICYNWLHR/A*31:01 allele "may play an important role in MS pathogenesis and this complex is suggested for further studies such as T cell receptor.Communicated by Ramaswamy H. Sarma.

Prediction of cross-recognition of peptide-HLA A2 by Melan-A-specific cytotoxic T lymphocytes using three-dimensional quantitative structure-activity relationships

The cross-recognition of peptides by cytotoxic T lymphocytes is a key element in immunology and in particular in peptide based immunotherapy. Here we develop three-dimensional (3D) quantitative structure-activity relationships (QSARs) to predict cross-recognition by Melan-A-specific cytotoxic T lymphocytes of peptides bound to HLA A*0201 (hereafter referred to as HLA A2). First, we predict the structure of a set of self- and pathogen-derived peptides bound to HLA A2 using a previously developed ab initio structure prediction approach [Fagerberg et al., J. Mol. Biol., 521–46 (2006)]. Second, shape and electrostatic energy calculations are performed on a 3D grid to produce similarity matrices which are combined with a genetic neural network method [So et al., J. Med. Chem., 4347–59 (1997)] to generate 3D-QSAR models. The models are extensively validated using several different approaches. During the model generation, the leave-one-out cross-validated correlation coefficient (q²) is used as the fitness criterion and all obtained models are evaluated based on their q² values. Moreover, the best model obtained for a partitioned data set is evaluated by its correlation coefficient (r = 0.92 for the external test set). The physical relevance of all models is tested using a functional dependence analysis and the robustness of the models obtained for the entire data set is confirmed using y-randomization. Finally, the validated models are tested for their utility in the setting of rational peptide design: their ability to discriminate between peptides that only contain side chain substitutions in a single secondary anchor position is evaluated. In addition, the predicted cross-recognition of the mono-substituted peptides is confirmed experimentally in chromium-release assays. These results underline the utility of 3D-QSARs in peptide mimetic design and suggest that the properties of the unbound epitope are sufficient to capture most of the information to determine the cross-recognition.

New approaches in metastatic melanoma: biological and molecular targeted therapies

Classical metastatic melanoma therapy is disappointing but important progress has been made in the understanding of melanoma biology. Genetic lesions and several intracellular signaling pathways that could serve as targets for novel therapy have been identified and a number of new agents are under evaluation. Promising tumor cell targets were identified in the cell membrane, cytoplasm and nucleus. New therapeutic approaches, besides monoclonal antibodies and vaccination, include an increasing number of small molecules that have been shown to interfere restrictively with intracellular signaling pathways in melanoma and decrease proliferation, survival, migration or invasion. Other agents can interfere with stromal components of melanoma, such as angiogenesis and components of the immune system.

Tumor-reactive CD8+ T-cell clones in patients after NY-ESO-1 peptide vaccination

A major objective of peptide vaccination is the induction of tumor-reactive CD8+ T-cells. We have shown that HLA-A2 positive cancer patients frequently develop an antigen-specific CD8+ T-cell response after vaccination with NY-ESO-1 peptides p157-165/p157-167. These T-cells are highly reactive with the peptides used for vaccination, but only rarely recognize HLA-matched, NY-ESO-1 expressing tumor cell lines. To address the apparent lack of tumor recognition of vaccine-induced CD8+ T-cell responses, we used autologous tumor cells for in vitro stimulation and expansion of pre- and postvaccine CD8+ T-cells. In contrast to standard presensitization methods with peptide-pulsed antigen-presenting cells, mixed lymphocyte tumor culture favored the selective expansion of low-frequency tumor-reactive T-cells. In four patients, we were able to demonstrate that antigen-specific and tumor-reactive T-cells are detectable and are indeed elicited as a result of NY-ESO-1 peptide vaccination. Further analyses of postvaccine antigen-specific T-cells at a clonal level show that vaccine-induced antigen-specific T-cells are heterogeneous in functional activity. These results suggest that the methods of immunomonitoring are critical to identify the proportion of tumor-reactive T-cells within the population of vaccine-induced antigen-specific effector cells. Our results show that immunization with NY-ESO-1 peptides leads to strong tumor-reactive CD8+ T-cell responses. Our findings suggest that approaches to peptide vaccination may be improved to induce higher numbers of antigen-specific T-cells and to selectively increase the proportion of CD8+ T-cells that have the capacity to recognize and eliminate tumor cells.

The human T cell response to melanoma antigens

The cornerstone of the concept of immunosurveillance in cancer should be the experimental demonstration of immune responses able to alter the course of in vivo spontaneous tumor progression. Elegant genetic manipulation of the mouse immune system has proved this tenet. In parallel, progress in understanding human T cell mediated immunity has allowed to document the existence in cancer patients of naturally acquired T cell responses to molecularly defined tumor antigens. Various attributes of cutaneous melanoma tumors, notably their adaptability to in vitro tissue culture conditions, have contributed to convert this tumor in the prototype for studies of human antitumor immune responses. As a consequence, the first human cytolytic T lymphocyte (CTL)-defined tumor antigen and numerous others have been identified using lymphocyte material from patients bearing this tumor, detailed analyses of specific T cell responses have been reported and a relatively large number of clinical trials of vaccination have been performed in the last 15 years. Thus, the "melanoma model" continues to provide valuable insights to guide the development of clinically effective cancer therapies based on the recruitment of the immune system. This chapter reviews recent knowledge on human CD8 and CD4 T cell responses to melanoma antigens.