Tumor-associated antigens identified by mRNA expression profiling induce protective anti-tumor immunity

Development of Cancer Immunotherapies

Cancer immunotherapy, or the utilization of components of the immune system to target and eliminate cancer, has become a highly active area of research in the past several decades and a common treatment strategy for several cancer types. The concept of harnessing the immune system for this purpose originated over 100 years ago when a physician by the name of William Coley successfully treated several of his cancer patients with a combination of live and attenuated bacteria, later known as "Coley's Toxins", after observing a subset of prior patients enter remission following their diagnosis with the common bacterial infection, erysipelas. However, it was not until late in the twentieth century that cancer immunotherapies were developed for widespread use, thereby transforming the treatment landscape of numerous cancer types. Pivotal studies elucidating molecular and cellular functions of immune cells, such as the discovery of IL-2 and production of monoclonal antibodies, fostered the development of novel techniques for studying the immune system and ultimately the development and approval of several cancer immunotherapies by the United States Food and Drug Association in the 1980s and 1990s, including the tuberculosis vaccine-Bacillus Calmette-Guérin, IL-2, and the CD20-targeting monoclonal antibody. Approval of the first therapeutic cancer vaccine, Sipuleucel-T, for the treatment of metastatic castration-resistant prostate cancer and the groundbreaking success and approval of immune checkpoint inhibitors and chimeric antigen receptor T cell therapy in the last decade, have driven an explosion of interest in and pursuit of novel cancer immunotherapy strategies. A broad range of modalities ranging from antibodies to adoptive T cell therapies is under investigation for the generalized treatment of a broad spectrum of cancers as well as personalized medicine. This chapter will focus on the recent advances, current strategies, and future outlook of immunotherapy development for the treatment of cancer.

Multipeptide immune response to cancer vaccine IMA901 after single-dose cyclophosphamide associates with longer patient survival

IMA901 is the first therapeutic vaccine for renal cell cancer (RCC) consisting of multiple tumor-associated peptides (TUMAPs) confirmed to be naturally presented in human cancer tissue. We treated a total of 96 human leukocyte antigen A (HLA-A)*02(+) subjects with advanced RCC with IMA901 in two consecutive studies. In the phase 1 study, the T cell responses of the patients to multiple TUMAPs were associated with better disease control and lower numbers of prevaccine forkhead box P3 (FOXP3)(+) regulatory T (T(reg)) cells. The randomized phase 2 trial showed that a single dose of cyclophosphamide reduced the number of T(reg) cells and confirmed that immune responses to multiple TUMAPs were associated with longer overall survival. Furthermore, among six predefined populations of myeloid-derived suppressor cells, two were prognostic for overall survival, and among over 300 serum biomarkers, we identified apolipoprotein A-I (APOA1) and chemokine (C-C motif) ligand 17 (CCL17) as being predictive for both immune response to IMA901 and overall survival. A randomized phase 3 study to determine the clinical benefit of treatment with IMA901 is ongoing.

A novel tumor-associated antigen, cell division cycle 45-like can induce cytotoxic T-lymphocytes reactive to tumor cells

The present study attempted to identify a useful tumor-associated antigen (TAA) for lung cancer immunotherapy and potential immunogenic peptides derived from the TAA. We focused on cell division cycle 45-like (CDC45L), which has a critical role in the initiation and elongation steps of DNA replication, as a novel candidate TAA for immunotherapy based on a genome-wide cDNA microarray analysis of lung cancer. The CDC45L was overexpressed in the majority of lung cancer tissues, but not in the adjacent non-cancerous tissues or in many normal adult tissues. We examined the in vitro and in vivo anti-tumor effects of cytotoxic T-lymphocytes (CTL) specific to CDC45L-derived peptides induced from HLA-A24 (A*24:02)-positive donors. We identified three CDC45L-derived peptides that could reproducibly induce CDC45L-specific and HLA-A24-restricted CTL from both healthy donors and lung cancer patients. The CTL could effectively lyse lung cancer cells that endogenously expressed both CDC45L and HLA-A24. In addition, we found that CDC45L (556) KFLDALISL(564) was eminent in that it induced not only HLA-A24 but also HLA-A2 (A*02:01)-restricted antigen specific CTL. Furthermore, the adoptive transfer of the CDC45L-specific CTL inhibited the growth of human cancer cells engrafted into immunocompromised mice. These results suggest that these three CDC45L-derived peptides are highly immunogenic epitopes and CDC45L is a novel TAA that might be a useful target for lung cancer immunotherapy.

The forkhead box M1 transcription factor as a candidate of target for anti-cancer immunotherapy

The present study attempted to identify a target antigen for immunotherapy for cholangiocarcinoma. Forkhead box M1 (FOXM1) was selected as a candidate antigen based on the data of previous cDNA microarray analysis of clinical samples of cholangiocarcinoma. The level of FOXM1 mRNA was more than 4 times higher in cancer cells in comparison to adjacent normal epithelial cells, in all of 24 samples of cholangiocarcinoma tissues. An immunohistochemical analysis also detected FOXM1 protein in the cancer cells but not in the normal cells. Twenty‐three human FOXM1‐derived peptides predicted to bind to HLA‐A2 were analyzed to determine their ability to induce HLA‐A2‐restricted T cells in HLA‐A2 transgenic mice. FOXM1_362‐370 (YLVPIQFPV), FOXM1_373‐382 (SLVLQPSVKV), and FOXM1_640‐649 (GLMDLSTTPL) peptides primed HLA‐A2‐restricted cytotoxic T lymphocytes (CTLs) in the HLA‐A2 transgenic mice. Human CTL lines reactive to these 3 peptides could also be established from HLA‐A2‐positive healthy donors and cancer patients. Natural processing of the 3 epitopes from FOXM1 protein was confirmed by specific killing of HLA‐A2‐positive FOXM1‐transfectants by peptide‐induced CTLs. FOXM1 is expressed in various types of cancers and it is also functionally involved in oncogenic transformation and the survival of cancer cells. Therefore, FOXM1 may be a suitable target for immunotherapy against various cancers including cholangiocarcinoma.

Epitope-Based Immunome-Derived Vaccines: A Strategy for Improved Design and Safety

Vaccine science has extended beyond genomics to proteomics and has come to also encompass ‘immunomics,’ the study of the universe of pathogen-derived or neoplasm-derived peptides that interface with B and T cells of the host immune system. It has been theorized that effective vaccines can be developed using the minimum essential subset of T cell and B cell epitopes that comprise the ‘immunome.’ Researchers are therefore using bioinformatics sequence analysis tools, epitope-mapping tools, microarrays, and high-throughput immunology assays to discover the minimal essential components of the immunome. When these minimal components, or epitopes, are packaged with adjuvants in an appropriate delivery vehicle, the complete package comprises an epitope-based immunome-derived vaccine. Such vaccines may have a significant advantage over conventional vaccines, as the careful selection of the components may diminish undesired side effects such as have been observed with whole pathogen and protein subunit vaccines. This chapter will review the pre-clinical and anticipated clinical development of computer-driven vaccine design and the validation of epitope-based immunome-derived vaccines in animal models; it will also include an overview of heterologous immunity and other emerging issues that will need to be addressed by vaccines of all types in the future.

Identification of differentially expressed proteins in spontaneous thymic lymphomas from knockout mice with deletion of p53

Background

Knockout mice with a deletion of p53 spontaneously develop thymic lymphomas. Two cell lines (SM5 and SM7), established from two independent tumours, exhibited about fifty to seventy two-fold differentially expressed proteins compared to wild type thymocytes by two-dimensional gel electrophoresis (2D-PAGE).

Results

Protein spots excised from 2D-PAGE gels, were subjected to in-gel tryptic digestion and identified by liquid chromatography – tandem mass spectrometry. A total of 47 protein spots were identified. Immunological verification was performed for several of the differentially regulated proteins where suitable antibodies could be obtained. Functional annotation clustering revealed similarities as well as differences between the tumours. Twelve proteins that changed similarly in both tumours included up-regulation of rho GDP-dissociation inhibitor 2, proteasome subunit α type 3, transforming acidic coiled-coil containing protein 3, mitochondrial ornithine aminotransferase and epidermal fatty acid binding protein and down-regulation of adenylosuccinate synthetase, tubulin β-3 chain, a 25 kDa actin fragment, proteasome subunit β type 9, cofilin-1 and glia maturation factor γ.

Conclusion

Some of the commonly differentially expressed proteins are also differentially expressed in other tumours and may be putative diagnostic and/or prognostic markers for lymphomas.

Tumor immunology

Advances in tumor immunology are supporting the clinical implementation of several immunological approaches to cancer in the clinical setting. However, the alternate success of current immunotherapeutic regimens underscores the fact that the molecular mechanisms underlying immune-mediated tumor rejection are still poorly understood. Given the complexity of the immune system network and the multidimensionality of tumor/host interactions, the comprehension of tumor immunology might greatly benefit from high-throughput microarray analysis, which can portrait the molecular kinetics of immune response on a genome-wide scale, thus accelerating the discovery pace and ultimately catalyzing the development of new hypotheses in cell biology. Although in its infancy, the implementation of microarray technology in tumor immunology studies has already provided investigators with novel data and intriguing new hypotheses on the molecular cascade leading to an effective immune response against cancer. Although the general principles of microarray-based gene profiling have rapidly spread in the scientific community, the need for mastering this technique to produce meaningful data and correctly interpret the enormous output of information generated by this technology is critical and represents a tremendous challenge for investigators, as outlined in the first section of this book. In the present Chapter, we report on some of the most significant results obtained with the application of DNA microarray in this oncology field.

Distorted relation between mRNA copy number and corresponding major histocompatibility complex ligand density on the cell surface

The major histocompatibility complex (MHC) presents peptides derived from degraded cellular proteins to T-cells and is thus crucial for triggering specific immune responses against viral infections or cancer. Up to now, there has been no evidence for a correlation between levels of mRNA (the "transcriptome") and the density of MHC-peptide complexes (the "MHC ligandome") on cells. Because such dependences are of intrinsic importance for the detailed understanding of translation efficiency and protein turnover and thus for systems biology in general and for tumor immunotherapy in practical application, we quantitatively analyzed the levels of mRNA and corresponding MHC ligand densities in samples of renal cell carcinomas and their autologous normal kidney tissues. Relative quantification was carried out by gene chip analysis and by stable isotope peptide labeling, respectively. In comparing more than 270 pairs of gene expression and corresponding peptide presentation ratios, we demonstrate that there is no clear correlation (r = 0.32) between mRNA levels and corresponding MHC peptide levels in renal cell carcinoma. A significant number of peptides presented predominantly on tumor or normal tissue showed no or only minor changes in mRNA expression levels. In several cases, peptides could even be identified despite the virtual absence of the respective mRNA. Thus we conclude that a majority of epitopes from tumor-associated antigens will not be found in approaches based mainly on mRNA expression studies as mRNA expression reflects a distorted picture of the situation on the cell surface as visible for T-cells.

Cancer immunotherapy

Cancer is the second leading cause of death in the industrialized world. Most cancer patients are treated by a combination of surgery, radiation and/or chemotherapy. Whereas the primary tumor can, in most cases, be efficiently treated by a combination of these standard therapies, preventing the metastatic spread of the disease through disseminated tumor cells is often not effective. The eradication of disseminated tumor cells present in the blood circulation and micro-metastases in distant organs therefore represents another promising approach in cancer immunotherapy. Main strategies of cancer immunotherapy aim at exploiting the therapeutic potential of tumor-specific antibodies and cellular immune effector mechanisms. Whereas passive antibody therapy relies on the repeated application of large quantities of tumor antigen-specific antibodies, active immunotherapy aims at the generation of a tumor-specific immune response combining both humoral and cytotoxic T cell effector mechanisms by the host's immune system following vaccination. In the first part of this review, concurrent developments in active and passive cancer immunotherapy are discussed. In the second part, the various approaches for the production of optimized monoclonal antibodies used for anti-cancer vaccination are summarized.

Ring finger protein 43 as a new target for cancer immunotherapy

We have performed genome-wide exploration by using cDNA microarray profiling, and successfully identified a new tumor-associated antigen (TAA) that can induce potent cytotoxic T lymphocytes (CTLs) specific to tumor cells. In our preceding study, we identified multiple new genes by using gene expression profiling with a genome-wide cDNA microarray containing 23,040 genes. Among them, we selected RNF43 (ring finger protein 43) as a promising candidate for a TAA expressed by colon cancer cells. In this study, we examined whether the RNF43 protein contains antigenic epitope peptides restricted to HLA-A*0201 or HLA-A*2402. The CTL clones were successfully induced with stimulation by using the peptides binding to HLA-A*0201 (ALWPWLLMA and ALWPWLLMAT) and HLA-A*2402 (NSQPVWLCL), and these CTL clones showed the cytotoxic activity specific to not only the peptide-pulsed targets but also the tumor cells expressing RNF43 and respective HLAs. Lytic activities mediated by two HLA-A2-restricted epitopes were marginal, whereas tumor lysis mediated by the HLA-A24 epitope was clearly better. These findings might be caused by the poor natural presentation of RNF43-11(IX) and RNF43-11(X) by tumors or poor T-cell receptor avidity for these specific epitopes. These results strongly suggest that RNF43 is a new TAA of colon cancer. Furthermore, these results also suggest that our strategy might be a promising one to efficiently discover clinically useful TAAs.

Immunologic aspect of ovarian cancer and p53 as tumor antigen

Ovarian cancer represents the fifth leading cause of death from all cancers for women. During the last decades overall survival has improved due to the use of new chemotherapy schedules. Still, the majority of patients die of this disease. Research reveals that ovarian cancer patients exhibit significant immune responses against their tumor. In this review the knowledge obtained thus far on the interaction of ovarian cancer tumor cells and the immune system is discussed. Furthermore the role of p53 as tumor antigen and its potential role as target antigen in ovarian cancer is summarized. Based on the increased knowledge on the role of the immune system in ovarian cancer major improvements are to be expected of immunotherapy based treatment of this disease.

Identification of immunoglobulin superfamily 11 (IGSF11) as a novel target for cancer immunotherapy of gastrointestinal and hepatocellular carcinomas

We previously performed gene expression profile analyses of 20 intestinal-type gastric cancers, and identified a set of genes whose expression levels were elevated in cancer tissues compared to their corresponding non-cancerous tissues. In the present study we focused on the immunoglobulin superfamily 11 gene (IGSF11). Its expression was also elevated in colorectal cancers and hepatocellular carcinomas as well as intestinal-type gastric cancers. Northern blot analysis showed that it was expressed abundantly in testis and ovary. These data suggest that IGSF11 is a good candidate of cancer-testis antigen. Furthermore, suppression of IGSF11 by siRNA retarded the growth of gastric cancer cells. To investigate the possibility of clinical application of peptide vaccine to IGSF11, we synthesized candidate epitope peptides for IGSF11 and tested whether the peptides elicit IGSF11-specific CTL. As a result, we successfully established oligo-clonal CTL by stimulation with IGSF11-9-207 (ALSSGLYQC). In addition, we also established additional CTL using IGSF11-9V (ALSSGLYQV), anchor-modified peptides of IGSF11-9-207. These peptides showed IGSF11-specific cytotoxic activity in an HLA-A*0201-restricted fashion, suggesting that these peptides may be applicable for cancer immunotherapy. These findings have provided a novel insight into carcinogenesis of the stomach, colon and liver, and will be helpful for the development of novel therapeutic strategies to a wide range of human cancers.

HIV vaccine development by computer assisted design: the GAIA vaccine

The design of epitope-driven vaccines that address the global variability of HIV has been significantly hampered by concerns about conservation of the vaccine epitopes across clades of HIV. We developed two computer-driven methods for improving epitope-driven HIV vaccines: the Epi-Assembler, which derives representative or "immunogenic consensus sequence" (ICS) epitopes from multiple viral variants, and VaccineCAD, which reduces junctional immunogenicity when epitopes are aligned in a string-of-beads format for insertion in a DNA expression vector. In this study, we report on 20 ICS HIV-1 peptides. The core 9-mer contained in these consensus peptides was conserved in 105-2250 individual HIV-1 strains. Nineteen of the 20 ICS epitopes (95%) evaluated in this study were confirmed in ELISpot assays using peripheral blood monocytes obtained from 13 healthy HIV-1 infected subjects. Twenty-five ICS peptides (all 20 of the peptides evaluated in this study and 5 additional ICS epitopes) were then aligned in a pseudoprotein string using "VaccineCAD", an epitope alignment tool that eliminates immunogenicity created by the junctions between the epitopes. Reordering the construct reduced the immunogenicity of the junctions between epitopes as measured by EpiMatrix, an epitope mapping algorithm. The reordered construct was also a more effective immunogen in vivo when tested in HLA-DR transgenic mice. These data confirm the utility of bioinformatics tools to design novel vaccines containing "immunogenic consensus sequence" T cell epitopes for a globally relevant vaccine against HIV.

DNA array-based gene profiling in tumor immunology

Recent advances in tumor immunology have fostered the clinical implementation of different immunotherapy modalities. However, the alternate success of such regimens underscores the fact that the molecular mechanisms underlying tumor immune rejection are still poorly understood. Given the complexity of the immune system network and the multidimensionality of tumor-host interactions, the comprehension of tumor immunology might greatly benefit from high-throughput DNA array analysis, which can portray the molecular kinetics of immune response on a genome-wide scale, thus accelerating the accumulation of knowledge and ultimately catalyzing the development of new hypotheses in cell biology. Although in its infancy, the implementation of DNA array technology in tumor immunology studies has already provided investigators with novel data and intriguing hypotheses on the cascade of molecular events leading to an effective immune response against cancer. Although the principles of DNA array-based gene profiling techniques have become common knowledge, the need for mastering this technique to produce meaningful data and correctly interpret this enormous output of information is critical and represents a tremendous challenge for investigators. In the present work, we summarize the main technical features and critical issues characterizing this powerful laboratory tool and review its applications in the fascinating field of cancer immunogenomics.

Analyzing Mycobacterium tuberculosis proteomes for candidate vaccine epitopes

Secreted antigens of Mycobacterium tuberculosis (Mtb) induce strong T cell responses and interferon-gamma (IFN-gamma) secretion, both of which are integral in the defense against Mtb. We used web-based tools (SignaIP and Prosite) to identify putative secreted proteins from Mtb genomes CDC 1551 and H37Rv. We then used EpiMatrix, a proprietary pattern-matching algorithm, to do a preliminary analysis of these proteins for regions that contained a high number of class II MHC binding motif matches. The use of bioinformatics tools reduced the number of potential epitopes to be screened to 5% of the 1.3 million overlapping peptides. Peripheral blood mononuclear cells (PBMC) were obtained from healthy, asymptomatic tuberculin skin test-positive donors. Of the 17 highest-ranking peptide candidates that could be synthesized for this preliminary in vitro evaluation, 15 (88%) stimulated IFN-gamma response, and eight (47%) stimulated lymphocyte proliferation in vitro. IFN-gamma ELISpot assays were therefore a more sensitive test for T cell response to these peptides than were proliferation assays. One highly promiscuous epitope (MT2281-26-J, WRRRPLSSALLSFGLLLGGLPL) induced IFN-gamma secretion in PBMC from 11 of 25 Mtb immune subjects (44%). Overall, 15 epitopes, and MT2281-26-J in particular, are candidates for inclusion in a multi-epitope TB vaccine. These findings support the systematic application of bioinformatics tools to whole genomes when used in combination with in vitro methods for screening and confirming epitopes.

Candidate epitope identification using peptide property models: application to cancer immunotherapy

Peptides derived from pathogens or tumors are selectively presented by the major histocompatibility complex proteins (MHC) to the T lymphocytes. Antigenic peptide-MHC complexes on the cell surface are specifically recognized by T cells and, in conjunction with co-factor interactions, can activate the T cells to initiate the necessary immune response against the target cells. Peptides that are capable of binding to multiple MHC molecules are potential T cell epitopes for diverse human populations that may be useful in vaccine design. Bioinformatical approaches to predict MHC binding peptides can facilitate the resource-consuming effort of T cell epitope identification. We describe a new method for predicting MHC binding based on peptide property models constructed using biophysical parameters of the constituent amino acids and a training set of known binders. The models can be applied to development of anti-tumor vaccines by scanning proteins over-expressed in cancer cells for peptides that bind to a variety of MHC molecules. The complete algorithm is described and illustrated in the context of identifying candidate T cell epitopes for melanomas and breast cancers. We analyzed MART-1, S-100, MBP, and CD63 for melanoma and p53, MUC1, cyclin B1, HER-2/neu, and CEA for breast cancer. In general, proteins over-expressed in cancer cells may be identified using DNA microarray expression profiling. Comparisons of model predictions with available experimental data were assessed. The candidate epitopes identified by such a computational approach must be evaluated experimentally but the approach can provide an efficient and focused strategy for anti-cancer immunotherapy development.

RNA expression microarrays (REMs), a high-throughput method to measure differences in gene expression in diverse biological samples

We have developed RNA expression microarrays (REMs), in which each spot on a glass support is composed of a population of cDNAs synthesized from a cell or tissue sample. We used simultaneous hybridization with test and reference (housekeeping) genes to calculate an expression ratio based on normalization with the endogenous reference gene. A test REM containing artificial mixtures of liver cDNA and dilutions of the bacterial LysA gene cDNA demonstrated the feasibility of detecting transcripts at a sensitivity of four copies of LysA mRNA per liver cell equivalent. Furthermore, LysA cDNA detection varied linearly across a standard curve that matched the sensitivity of quantitative real-time PCR. In REMs with real samples, we detected organ-specific expression of albumin, Hnf-4 and Igfbp-1, in a set of mouse organ cDNA populations and c-Myc expression in tumor samples in paired tumor/normal tissue cDNA samples. REMs extend the use of classic microarrays in that a single REM can contain cDNAs from hundreds to thousands of cell or tissue samples each representing a specific physiological or pathophysiological state. REMs will extend the analysis of valuable samples by providing a common broad based platform for their analysis and will promote research aimed at defining gene functions, by broadening our understanding of their expression patterns in health and disease.

Immunome-derived vaccines

Immune response to a subset of antigens and epitopes derived from an infectious pathogen may be sufficient for competent protection; immune recognition of every potential epitope derived from the pathogen's genome does not appear to be required. The pneumococcal and hepatitis vaccines, both of which are subunit vaccines, illustrate this premise. Similarly, 'immunome-derived vaccines' are based on the concept that response to the subset of antigens and epitopes that interface with the host immune system (the immunome) and not the whole organism (represented by the proteome or genome) can be sufficient for protection. Competent immune responses to cancer are also probably restricted to the neoplasm's 'immunome', although the set of antigens that drive successful immune response to cancer cells has proven more difficult to uncover. Researchers are now using bioinformatics sequence analysis tools, epitope mapping tools, microarrays and high-throughput immunology assays to discover the components of the immunome, which are then used to compose these new vaccines. At least one immunome-derived vaccine is in clinical trials and many others are in the vaccine pipeline. Due to the rapid improvement of immunoinformatics tools and immunological assays, the era of immunome-derived vaccines has begun.

Changes in protein expression in p53 deleted spontaneous thymic lymphomas

By the use of high-resolution two-dimensional gel electrophoresis and computerized image analysis we investigated and compared the expression of cellular proteins from p53 positive (+/+) mouse thymocytes, p53-/- thymocytes before neoplastic transformation, and from cell lines derived from two spontaneous p53-/- thymic lymphomas, SM5 and SM7. A total of around 1500 proteins were detected on individual gels. Only changes in protein expression by a factor of 2 or more were considered. In the thymic lymphoma cells 3-5% of the proteins were found to be differentially regulated when compared with the protein expression in p53+/+ and p53-/- thymocytes. Only a minority (13 proteins) of the quantitatively changed proteins were common for the two thymic lymphoma cell lines, suggesting that the p53 deficiency mainly results in genetic dysfunctions which are individual for a given tumor. Two of the detected proteins increased their expression levels by more than 10 times from the p53+/+ to the p53-/- thymocytes and these high expression levels were also found in thymic lymphomas. The two proteins were identified by mass spectrometry as acidic ribosomal phosphoprotein P0 and a 33-kDa protein with a primary structure containing motifs of the glyoxalase-bleomycin resistance protein family (MDR) as deduced from the cDNA.

Identifying multiple tumor-specific epitopes from large-scale screening for overexpressed mRNA

The rationale of a T-cell epitope-based approach to cancer treatment is primarily rooted in the hypothesis that CD8(+) cytotoxic T cells (CTLs) can be manipulated to specifically identify and kill cancer cells. A solid understanding of CTL specificity and activation is a fundamental requirement for tumor immunotherapy. The means to identify tumor-specific CTL epitopes and to monitor corresponding CTL responses are important enabling technologies. Recent advances in these enabling technologies include their ability to exploit genomic, transcriptomic and proteomic information. These advances constitute new opportunities, which will enable approaches to tumor immunotherapy that encompass both human diversity and tumor heterogeneity, increase the efficacy of tumor immunotherapy and potentially provide the opportunity for individualized therapy.

Tumor-associated antigens identified by mRNA expression profiling as tumor rejection epitopes

Thirteen H-2b-binding peptides derived from six potentially overexpressed proteins in p53-/- thymoma (SM7) cells were studied for immunogenecity and vaccine-induced prevention of tumor growth in mice inoculated with SM7 tumor cells. Six of the peptides generated specific CTL responses after immunization, but only two of these peptides (RAD23-31 and RAD24-31) were capable of generating a weak vaccination-induced protection against adoptive tumor growth. SM7 inoculated mice treated with a blocking antibody against the inhibitory T cell signal transducing molecule CTLA4 appeared to delay tumor take, suggesting that SM7 thymoma cells are recognized by the adaptive immune system of the host. However, prophylactic vaccination with RAD23-31 and RAD24-31 peptides combined with anti-CTLA4 Ab treatment and did not improve tumor resistance. Our data would indicate that vaccination with immunogenic peptides derived from potentially overexpressed tumor proteins, as identified by mRNA expression profiling of p53-/- thymoma cells, at best results in a weak tumor protection thus questioning this way of detection of new tumor rejection epitopes.

Self-peptides with intermediate capacity to bind and stabilize MHC class I molecules may be immunogenic

Thirty self-peptides were selected on the basis of their predicted binding to H-2b molecules. The binding of peptides was ascertained experimentally by biochemical (KD measurements) and cellular [major histocompatibility complex class I (MHC-I) stabilization] assays. A weak, but significant, correlation between KD measurements and MHC-I stabilization was observed. Mice (n = 99) were immunized with individual peptides. Twenty-eight peptides were found to induce peptide-specific cytotoxic activity, and a total of 84 mice developed significant cytotoxic T lymphocyte (CTL) responses after immunization. Only one of the 21 mice immunized with high-affinity peptides developed a peptide-specific CTL response of 29 lytic units per 106 splenocytes, whereas 11 of the 42 mice immunized with intermediate-affinity peptides developed peptide-specific CTL responses at this level (P < 0.05). These observations suggest the absence of tolerance towards most MHC-I-restricted self-peptides and that strong antiself immunity can be generated preferentially towards self-peptides with an intermediate affinity for MHC-I. These data should be considered in the design of tumour vaccines based on MHC-I-binding self-peptides.

Prospects for immunotherapy of malignant disease

The majority of T cell-recognized tumour antigens in humans are encoded by genes that are also present in normal tissues. Low levels of gene expression in normal cells can lead to the inactivation of high-avidity T cells by immunological tolerance mechanisms. As a consequence, low-avidity T cell responses in patients are often inadequate in providing tumour protection. Recently, several technologies have been developed to overcome tolerance, allowing the isolation of high-affinity, HLA-restricted receptors specific for tumour-associated peptide epitopes. Furthermore, transfer of HLA-restricted antigen receptors provides an opportunity to empower patient T cells with new tumour-reactive specificities that cannot be retrieved from the autologous T cell repertoire.

Identification of tumor-associated HLA-ligands in the post-genomic era

Over 10 years ago, the identification of the first tumor-specific T cell epitope shed light on the molecular principles underlying the phenomenon of tumor eradication by the immune system. Since then, a considerable number of different approaches for this task have been introduced and employed successfully, reflecting the growing knowledge about the cellular processes preceding antigen presentation as well as significant technical developments. This review tries to give an overview over available conventional strategies as well as current developments that utilize the potent large-scale screening tools of the post-genomic era.

Previously unrecognized vaccine candidates against group B meningococcus identified by DNA microarrays

We have used DNA microarrays to follow Neisseria meningitidis serogroup B (MenB) gene regulation during interaction with human epithelial cells. Host-cell contact induced changes in the expression of 347 genes, more than 30% of which encode proteins with unknown function. The upregulated genes included transporters of iron, chloride, amino acids, and sulfate, many virulence factors, and the entire pathway of sulfur-containing amino acids. Approximately 40% of the 189 upregulated genes coded for peripherally located proteins, suggesting that cell contact promoted a substantial reorganization of the cell membrane. This was confirmed by fluorescence activated cell sorting (FACS) analysis on adhering bacteria using mouse sera against twelve adhesion-induced proteins. Of the 12 adhesion-induced surface antigens, 5 were able to induce bactericidal antibodies in mice, demonstrating that microarray technology is a valid approach for identifying new vaccine candidates and nicely complements other genome mining strategies used for vaccine discovery.

Generation of polyclonal plasmablasts from peripheral blood B cells: a normal counterpart of malignant plasmablasts

A new way to identify tumor-specific genes is to compare gene expression profiles between malignant cells and their autologous normal counterparts. In patients with multiple myeloma, a major plasma cell disorder, normal plasma cells are not easily attainable in vivo. We report here that in vitro differentiation of peripheral blood B lymphocytes, purified from healthy donors and from patients with multiple myeloma, makes it possible to obtain a homogeneous population of normal plasmablastic cells. These cells were identified by their morphology, phenotype, production of polyclonal immunoglobulins, and expression of major transcription factors involved in B-cell differentiation. Oligonucleotide microarray analysis shows that these polyclonal plasmablastic cells have a gene expression pattern close to that of normal bone marrow–derived plasma cells. Detailed analysis of genes statistically differentially expressed between normal and tumor plasma cells allows the identification of myeloma-specific genes, including oncogenes and genes coding for tumor antigens. These data should help to disclose the molecular mechanisms of myeloma pathogenesis and to define new therapeutic targets in this still fatal malignancy. In addition, the comparison of gene expression between plasmablastic cells and B cells provides a new and powerful tool to identify genes specifically involved in normal plasma cell differentiation.

Microarrays as cancer keys: an array of possibilities

Malignant transformation results from accumulation of genetic and epigenetic events. Functional studies of cancer will be crucial to our understanding of its complexity and polymorphism. There is no doubt that emerging genomic and proteomic technologies will facilitate such investigations. Microarray technology is a new and efficient approach to extract data of biomedical relevance for a wide range of applications. In cancer research, it will provide high-throughput and valuable insights into differences in an individual's tumor as compared with constitutional DNA, mRNA expression, and protein expression and activity. Across individuals, comparisons could provide tissue-specific disease signatures that provide diagnosis based on hundreds of informative genes. The resulting product should be a wealth of tumor-associated and tumor-specific biomarkers, which may help in cancer etiology, diagnosis, and therapy and ultimately lead to "molecular nosology" of cancers. This review highlights the recent developments in microarray technologies in cancer research, focuses on the results obtained so far, and describes the eventual use of microarray technology for clinical applications.

Prophylactic cancer vaccines

Increasingly, data from distinct experimental systems show that immunity can be activated to prevent tumors. The rationale for prevention is strong because, in that setting, one deals with an immune system that is neither impaired by tumor- and treatment-induced suppression nor tolerant to tumor-associated antigens that have been encountered in the absence of correct presentation and costimulatory/danger signals. The use of overexpressed or mutated proteins, or mutated oncogenic growth factor receptors, as tumor-associated antigens yields rational targets for specific immunoprevention. Transgenic mouse models are providing encouraging indications of future usefulness of vaccines that are based on these molecules.

Inducement of specific CTLs by antigen-peptides from human leukemia cells and their cytotoxicity to leukemia cells

To investigate the inducement of cytotoxic T lymphocytes (CTLs) by antigen peptides mixture from different leukemia cells and the cross-reaction of the mixtures from different cell lines, antigen peptides mixtures were prepared from different leukemia cell lines respectively and then bound with Hsp70 in vitro. Activation and proliferation of PBMC were observed after stimulation with different Hsp70-peptide complexes. The ratio of CD8+ in proliferative cells was analyzed by flow cytometry. The cytotoxicity of the activated PBMC to different target cells was assayed. The results showed that the antigen peptides from different leukemia cell lines, bound with Hsp70, could activate PBMC effectively, and stimulate the activated PBMC to proliferate. The proliferative PBMC had specific cytotoxicity to corresponding leukemia cells. CD8+ cells, accounting for a high proportion in proliferative cells, had a specific cytotoxicity to leukemia cells from which antigen peptides were prepared, suggesting that these CD8+ cells were CTLs specific to leukemia cells. CTLs activated by Hut78-peptides or Molt4-peptides had a significantly stronger cytotoxicity to Hut78 cells, Molt-1 cells and Jurkat cells than that of CTLs activated by HL-60-peptides (P < 0.05). And the cytotoxicity of CTLs activated by Hut78/Molt4-peptides to Jurkat cells was significantly stronger than that of CTLs activated by either Hut78-peptides or Molt4-peptides alone (P < 0.05). It is concluded that antigen peptides mixtures from leukemia cells can induce specific antitumor CTLs. There exists cross-reactivity among antigen peptides mixtures from different cell lines of the same type leukemia and more cross-reactive antigen peptides could be obtained from more cell lines, suggesting that antigen peptides mixture with broad antigenic spectrum could be prepared by using multiple leukemia cell lines.