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- Doctoral Thesis (11)
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Oncolytic virotherapy represents a promising approach to revolutionize cancer therapy. Several preclinical and clinical trials display the safety of oncolytic viruses as wells as their efficiency against solid tumors. The development of complementary diagnosis and monitoring concepts as well as the optimization of anti-tumor activity are key points of current virotherapy research. Within the framework of this thesis, the diagnostic and therapeutic prospects of beta-glucuronidase expressed by the oncolytic vaccinia virus strain GLV-1h68 were evaluated. In this regard, a beta-glucuronidase-based, therapy-accompanying biomarker test was established which is currently under clinical validation. By using fluorescent substrates, the activity of virally expressed beta-glucuronidase could be detected and quantified. Thereby conclusions about the replication kinetics of oncolytic viruses in animal models and virus-induced cancer cell lysis could be drawn. These findings finally led to the elaboration and establishment of a versatile biomarker assay which allows statements regarding the replication of oncolytic viruses in mice based on serum samples. Besides the analysis of retrospective conditions, this test is able to serve as therapy-accompanying monitoring tool for virotherapy approaches with beta-glucuronidase-expressing viruses. The newly developed assay also served as complement to routinely used plaque assays as well as reference for virally expressed anti-angiogenic antibodies in additional preclinical studies. Further validation of this biomarker test is currently taking place in the context of clinical trials with GL-ONC1 (clinical grade GLV-1h68) and has already shown promising preliminary results. It was furthermore demonstrated that fluorogenic substrates in combination with beta-glucuronidase expressed by oncolytic viruses facilitated the optical detection of solid tumors in preclinical models. In addition to diagnostic purposes, virus-encoded enzymes could also be combined with prodrugs resulting in an improved therapeutic outcome of oncolytic virotherapy. In further studies, the visualization of virus-induced immune reactions as well as the establishment of innovative concepts to improve the therapeutic outcome of oncolytic virotherapy could be accomplished. In conclusion, the results of this thesis provide crucial findings about the influence of virally expressed beta-glucuronidase on various diagnostic concepts in the context of oncolytic virotherapy. In addition, innovative monitoring and therapeutic strategies could be established. Our preclinical findings have important clinical influence, particularly by the development of a therapy-associated biomarker assay which is currently used in different clinical trials.
Development of novel Listeria monocytogenes strains as therapeutic agents for targeted tumor therapy
(2010)
Despite marked progress in development and improvement of cancer therapies the rate of cancer related death remained stable over the last years. Especially in treating metastases alternative approaches supporting current therapies are required. Bacterial and viral vectors have been advanced from crude tools into highly sophisticated therapeutic agents detecting and treating neoplastic leasions. They might be potent enough to fill in this therapeutic demand. In this thesis Listeria monocytogenes was investigated as carrier for targeted bacterial cancer therapy. One part of the study focussed on modification of a functional bacterial mRNA delivery system. Genomic integration of T7 RNA polymerase driving mRNA production allowed reduction to an one-plasmid-system and thereby partially relieved the growth retardation exerted by mRNA delivery. Importantly the integration allowed metabolic attenuation of the mRNA delivery mutant potentially enabling in vivo applications. Further expansion of the bacterial RNA delivery system for transfer of shRNAs was examined. Bacterial mutants producing high amounts of RNA containing shRNA sequences were constructed, however a functional proof of gene silencing on delivery in eukaryotic cell lines was not achieved. The second part of this thesis focussed on increasing tumor colonization by Listeria monocytogenes in vivo. Coating bacteria with antibodies against receptors overexpressed on distinct tumor cell lines enabled specific bacterial internalization into these cells in vitro. Optimization of the bacterial antibody coating process resulted in an up to 104-fold increase of intracellular bacteria. Combination of this antibody-mediated targeting with the delivery of prodrug-converting enzymes showed a cytotoxic effect in cell lines treated with the corresponding prodrug. Since incubation in murine serum completely abrogated antibodymediated bacterial internalization the antibodies were covalently linked to the bacteria for application in xenografted tumor mice. Bacteria coated and crosslinked in this manner showed enhanced tumor targeting in a murine tumor model demonstrating antibodymediated bacterial tumor targeting in vivo. Independent of antibody-mediated tumor targeting the intrinsic tumor colonization of different Listeria monocytogenes mutants was examined. Listeria monocytogenes ΔaroA ΔinlGHE colonized murine melanoma xenografts highly efficient, reaching up to 108 CFU per gram of tumor mass 7 days post infection. Taken together the presented data shows highly promising aspects for potential bacterial application in future tumor therapies. Combination of the delivery systems with antibodymediated- and intrinsic bacterial tumor targeting might open novel dimensions utilizing Listeria monocytogenes as therapeutic vector in targeted tumor therapy.
Bispecific T cell engager (BiTE) display a novel design among the class of bispecific antibodies and hold great promise to fight diverse cancers. BiTE molecules consist of two different binding entities derived from two human IgG antibodies connected by a short peptide linker. Their binding arms are directed against the CD3e chain of the T cell receptor on T cells and against an antigen that is specific for (e.g., CD19 for lymphoma in MT103) or over-expressed on (e.g., EpCAM for epithelial cancer in MT110) tumor cells. Without requirement for pre- or co-stimulation, BiTE molecules efficiently redirect CD3+ T cells towards tumor cells expressing the relevant target antigen. Only a BiTE molecule simultaneously bound to both tumor cell and T cell activates the T cell to exert its cytolytic function resulting in tumor cell death. In T cells stimulated with both BiTE and target cells, elevated levels of caspase activation and increased expression of cytotoxic and signaling proteins are observed. These include cytolytic proteins granzyme B and perforin, activation markers CD69 and CD25 and adhesion molecules CD2 and LFA-1. Activated T cells secrete the usual mix of cytokines, among them pro-inflammatory cytokines IFN-g and TNF-a. The membrane of tumor cells expressing the relevant target antigen is perforated during the attack of BiTE-stimulated effector cells as can be concluded from adenylate kinase release from the cytosol of tumor cells. Ca2+-chelator EGTA completely blocked BiTE-mediated activation of caspases and tumor cell lysis. As perforin is strictly Ca2+-dependent, a major role for this pore-forming protein is assumed for the elimination of tumor cells via BiTE-stimulated T cells. Granzyme B and caspases are main players in BiTE-mediated elimination of tumor cells. Inhibitors of granzyme B or caspases reduce or block, respectively the activation of caspases. However, other signals of apoptosis (cleavage of PARP and fragmentation of DNA) were only reduced by granzyme B inhibitor or caspase inhibitor. Most interestingly, the lytic capacity of BiTE molecules was not impaired by granzyme B inhibitor or caspase inhibitor. It seems that there is no requirement for granzyme B and caspases to be present simultaneously. Instead the data presented provide evidence that they can be replaced one at a time by related proteins. Pre-incubation of effector cells with the glucocorticoids dexamethasone or methylprednisolone resulted in markedly decreased secretion of cytokines by T cells yet only a small reduction in the expression of activation markers and adhesion molecules on T cells and specific lysis of tumor cells upon BiTE stimulation. Soluble factors secreted in an undirected manner by BiTE-stimulated T cells do not mediate tumor cell death by themselves. Bystander cells negative for the antigen that is recognized by the BiTE molecule will not be compromised by BiTE activity. The cytokine TGF-b reduced proliferation as well as granzyme B and perforin expression of BiTE-stimulated T cells. Redirected lysis by BiTE-activated T cells was also decreased under the influence of TGF-b, however lysis was still performed at a reasonable rate (72 % of target cells). TGF-b does not exert a deleterious effect on lytic potential of BiTE-stimulated T cells. The minimal anticipated biological effect level for the BiTE MT110 was determined for the entry of MT110 into phase I clinical studies. Experiments analyzing redirected lysis of tumor cells, expression of activation marker CD25 and cytokine release by T cells revealed a MABEL value of 50 pg/ml for MT110.
In a variety of established tumour cell lines, but also in primary mammary epithelial cells metalloprotease-dependent transactivation of the EGFR, and EGFR characteristic downstream signalling events were observed in response to stimulation with physiological concentrations of GPCR agonists such as the mitogens LPA and S1P as well as therapeutically relevant concentrations of cannabinoids. Moreover, this study reveals ADAM17 and HB-EGF as the main effectors of this mechanism in most of the cancer cell lines investigated. However, depending on the cellular context and GPCR agonist, various different members of the ADAM family are selectively recruited for specific ectodomain shedding of proAR and/or proHB-EGF and subsequent EGFR activation. Furthermore, biological responses induced by LPA or S1P such as migration in breast cancer and HNSCC cells, depend on ADAM17 and proHB-EGF/proAR function, respectively, suggesting that highly abundant GPCR ligands may play a role in tumour development and progression. Moreover, EGFR signal transactivation could be identified as the mechanistic link between cannabinoid receptors and the activation of mitogen activated protein kinases (MAPK) ERK1/2 as well as pro-survival Akt/PKB signalling. Depending on the cellular context, cannabinoid-induced signal cross-communication was mediated by shedding of proAmphiregulin and/or proHB-EGF by ADAM17. Most importantly, our data show that concentrations of THC comparable to those detected in the serum of patients after THC administration accelerate proliferation of cancer cells instead of apoptosis and thereby may contribute to cancer progression in patients.
In this thesis, the development of a phylogenetic DNA microarray, the analysis of several gene expression microarray datasets and new approaches for improved data analysis and interpretation are described. In the first publication, the development and analysis of a phylogenetic microarray is presented. I could show that species detection with phylogenetic DNA microarrays can be significantly improved when the microarray data is analyzed with a linear regression modeling approach. Standard methods have so far relied on pure signal intensities of the array spots and a simple cutoff criterion was applied to call a species present or absent. This procedure is not applicable to very closely related species with high sequence similarity because cross-hybridization of non-target DNA renders species detection impossible based on signal intensities alone. By modeling hybridization and cross-hybridization with linear regression, as I have presented in this thesis, even species with a sequence similarity of 97% in the marker gene can be detected and distinguished from related species. Another advantage of the modeling approach over existing methods is that the model also performs well on mixtures of different species. In principle, also quantitative predictions can be made. To make better use of the large amounts of microarray data stored in public databases, meta-analysis approaches need to be developed. In the second publication, an explorative meta-analysis exemplified on Arabidopsis thaliana gene expression datasets is presented. Integrating datasets studying effects such as the influence of plant hormones, pathogens and different mutations on gene expression levels, clusters of similarly treated datasets could be found. From the clusters of pathogen-treated and indole-3-acetic acid (IAA) treated datasets, representative genes were selected which pointed to functions which had been associated with pathogen attack or IAA effects previously. Additionally, hypotheses about the functions of so far uncharacterized genes could be set up. Thus, this kind of meta-analysis could be used to propose gene functions and their regulation under different conditions. In this work, also primary data analysis of Arabidopsis thaliana datasets is presented. In the third publication, an experiment which was conducted to find out if microwave irradiation has an effect on the gene expression of a plant cell culture is described. During the first steps, the data analysis was carried out blinded and exploratory analysis methods were applied to find out if the irradiation had an effect on gene expression of plant cells. Small but statistically significant changes in a few genes were found and could be experimentally confirmed. From the functions of the regulated genes and a meta-analysis with publicly available microarray data, it could be suspected that the plant cell culture somehow perceived the irradiation as energy, similar to perceiving light rays. The fourth publication describes the functional analysis of another Arabidopsis thaliana gene expression dataset. The gene expression data of the plant tumor dataset pointed to a switch from a mainly aerobic, auxotrophic to an anaerobic and heterotrophic metabolism in the plant tumor. Genes involved in photosynthesis were found to be repressed in tumors; genes of amino acid and lipid metabolism, cell wall and solute transporters were regulated in a way that sustains tumor growth and development. Furthermore, in the fifth publication, GEPAT (Genome Expression Pathway Analysis Tool), a tool for the analysis and integration of microarray data with other data types, is described. It consists of a web application and database which allows comfortable data upload and data analysis. In later chapters of this thesis (publication 6 and publication 7), GEPAT is used to analyze human microarray datasets and to integrate results from gene expression analysis with other datatypes. Gene expression and comparative genomic hybridization data from 71 Mantle Cell Lymphoma (MCL) patients was analyzed and allowed proposing a seven gene predictor which facilitates survival predictions for patients compared to existing predictors. In this study, it was shown that CGH data can be used for survival predictions. For the dataset of Diffuse Large B-cell lymphoma (DLBCL) patients, an improved survival predictor could be found based on the gene expression data. From the genes differentially expressed between long and short surviving MCL patients as well as for regulated genes of DLBCL patients, interaction networks could be set up. They point to differences in regulation for cell cycle and proliferation genes between patients with good and bad prognosis.
Protection of healthy tissues from infection with systemically administered vaccinia virus strains
(2012)
Oncolytic virotherapy using recombinant vaccinia virus strains is a promising approach for the treatment of cancer. To further improve the safety of oncolytic vaccinia viruses, the cellular microRNA machinery can be applied as the host’s own security mechanism to avoid unwanted viral replication in healthy tissues. MicroRNAs are a class of small single-stranded RNAs which due to their ability to mediate post-transcriptional gene-silencing, play a crucial role in almost every regulatory process in cellular metabolism. Different cancers display unique microRNA expression patterns, showing significant up- or downregulation of endogenously expressed microRNAs. Furthermore, the behavior of cancer cells can be altered by either adding microRNAs known to inhibit cancer cell spread and proliferation or suppressing cancer promoting microRNAs (oncomirs) making microRNAs promising targets for cancer gene therapy. The cell’s own RNAi machinery can also be utilized to control viral replication due to the virus dependence on the host cell replication machinery, a process controlled by microRNAs. GLV-1h68 is a replication-competent recombinant oncolytic vaccinia virus constructed and generated by Genelux Corp., San Diego, CA, USA which carries insertions of three reporter gene cassettes for detection and attenuation purposes and is currently being evaluated for cancer treatment in clinical trials. Though there are hardly any side effects found in GLV-1h68 mediated oncolytic therapy an increased tropism for replication exclusively in cancer cells is desirable. Therefore it was investigated whether or not further cancer cell specificity of a recombinant vaccinia virus strain could be obtained without compromising its oncolytic activity using microRNA interference. Let-7a is a well characterized microRNA known to be expressed in high levels in healthy tissues and strongly downregulated in most cancers. To control vaccinia virus replication rates, four copies of the mature human microRNA let-7a target sequence were cloned behind the stop codon in the 3’end of the vaccinia virus D4R gene, using a GLV-1h68 derivative, GLV-1h190, as parental strain yielding the new recombinant virus strain GLV-1h250. The D4R gene belongs to the group of early transcribed vaccinia genes and encodes an essential enzyme, uracil DNA glycosylase, which catalyzes the removal of uracil residues from double-stranded DNA. A defect in D4R prevents vaccinia virus from entering into the intermediate and late phase of replication, leading to an aborted virus replication. After expression of the microRNA target sequence from the vaccinia virus genome, the endogenously expressed microRNA-let-7a should recognize its target structure within the viral mRNA transcript, thereby binding and degrading the viral mRNA which should lead to a strong inhibition of the virus replication in healthy cells. GLV-1h250 replication rates in cancerous A549 lung adenocarcinoma cells, which show a strong down-regulation of microRNA let-7a, was comparable to the replication rates of its parental strain GLV-1h190 and the control strain GLV-1h68. In contrast, GLV-1h250 displayed a 10-fold decrease in viral replication in non-cancerous ERC cells when compared to GLV-1h190 and GLV-1h68. In A549 tumor bearing nude mice GLV-1h250 replicated exclusively in the tumorous tissue and resulted in efficient tumor regression without adverse effects leading to the conclusion that GLV-1h250 replicates preferentially in cancerous cells and tissues, which display low endogenous let-7a expression levels.