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The understanding of tumor–host interactions remains elusive despite significant progress in the identification of tumor antigens (TAs) recognized by autologous T cells. In particular, most human tumors do not regress and continue to grow in spite of spontaneous or immunization-induced immune responses demonstrated in circulating lymphocytes. Indeed, systemic immune responses might insufficiently address the complexity of tumor–host interactions because of factors, such as (1) the lack of productive T-cell receptor (TCR) engagement with epitope owing to qualitative and/or quantitative defects in the generation and maintenance of the immune response, (2) insufficient costimulation provided by the host, (3) the lack of localization of the immune response in target tissues and (4) the complexity of tumor–host interactions within the tumor microenvironment caused by temporal changes in tumor phenotypes and an array of immune mediators expressed in the tumor microenvironment. Here, we will review current knowledge of the different ‘levels’ of immune response that might be necessary for immunotherapy to be effective in the treatment of cancer. Furthermore, we will discuss the information still required in order to understand the mechanism(s) governing tumor rejection by the immune system in response to TA-specific immunization. [Copyright &y& Elsevier]

Clinical trials of tumor-antigen-specific immunization have clearly shown that immune-mediated tumor rejection requires more than simple T cell–target cell interactions. In vivo generation of tumor-specific T cells is one of a series of steps necessary for the induction of clinically relevant immune responses. In recent years, high-throughput functional genomics exposed the complexity of tumor immune biology, which underlies the kaleidoscopic array of variables associated with cancer instability and immunogenetic variability in humans. In the quest to understand immune rejection, hypothesis-driven approaches have failed to take into account the intricacy of human pathology by relying mostly on hypotheses derived from experimental models rather than direct clinical observation. Future investigations should reframe scientific thinking when applied to humans, utilizing descriptive tools to generate novel hypotheses relevant to human disease. [Copyright &y& Elsevier]

Cell-based immunotherapies are among the most promising approaches for developing effective and targeted immune response. However, their clinical usefulness and the evaluation of their efficacy rely heavily on complex quality control assessment. Therefore, rapid systematic methods are urgently needed for the in-depth characterization of relevant factors affecting newly developed cell product consistency and the identification of reliable markers for quality control. Using dendritic cells (DCs) as a model, we present a strategy to comprehensively characterize manufactured cellular products in order to define factors affecting their variability, quality and function. After generating clinical grade human monocyte-derived mature DCs (mDCs), we tested by gene expression profiling the degrees of product consistency related to the manufacturing process and variability due to intra- and interdonor factors, and how each factor affects single gene variation. Then, by calculating for each gene an index of variation we selected candidate markers for identity testing, and defined a set of genes that may be useful comparability and potency markers. Subsequently, we confirmed the observed gene index of variation in a larger clinical data set. In conclusion, using high-throughput technology we developed a method for the characterization of cellular therapies and the discovery of novel candidate quality assurance markers. [ABSTRACT FROM AUTHOR]

The evaluation and characterization of epitope-specific human leukocyte antigen (HLA)-restricted memory T-cell reactivity is an important step for the development of preventive vaccines and peptide-based immunotherapies for viral and tumor diseases. The past decade has witnessed the use of HLA-restricted peptides as tools to activate strong immune responses of naïve or memory T cells specifically. This has fuelled an active search for methodological approaches focusing on HLA and peptide associations. Here, we outline new perspective on the emerging opportunity of evaluating HLA and peptide restriction by using novel approaches, such as quantitative real-time PCR, that can identify epitope specificities that are potentially useful in clinical settings. [Copyright &y& Elsevier]

The individual cellular immune response to intracellular antigens is modeled by the highly polymorphic major histocompatibility complex (HLA) class I molecules. The epitopes presented and the T cell repertoire that recognizes them depend on the HLA constitution of the individual. Therefore, to monitor and to modify an individual''s HLA class I-driven cellular immune response, it is necessary to know the HLA class I alleles of the person and the possible epitopes of the target antigen presented by those alleles. In particular, this is necessary in order to design peptide-based vaccines and immune therapies for the treatment of diseases caused by viruses, intracellular parasites or cancer, and to monitor the immune response during those treatments. We describe a new set of HLA-A, -B, and -C locus-specific primers for the polymerase chain reaction (PCR) amplification of the whole coding sequence of these genes from complementary DNA (cDNA). We describe their use for typing and for the production of a library of recombinant HLA class I genes. We discuss two downstream applications of this gene collection: production of soluble HLA molecules and discovery of new epitopes. [Copyright &y& Elsevier]