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Basics of cancer gene therapy.

Gene therapy is a rapidly evolving concept for the therapy of different forms of cancer. A number of phase-I clinical trials have recently been initiated world wide. This review discusses the technical concepts underlying the protocols currently coming into clinics. Two tools essentially constitute such concepts, the vector for efficient transfer and expression of the transgene in the cancer cell, and the therapeutic gene. The most advanced vectors ready for clinical use are the retrovirus- and adenovirus-derived vectors. The application of a broad spectrum of therapeutic genes can be classified into gene replacement of replace e.g. mutated tumor suppressor genes, gene addition to increase immunogenicity by cytokine genes or introduce prodrug genes for suicide induction and, thirdly, targeted affection of gene expression by antisense oligonucleotides or expression of ribozymes e.g. directed against oncogene sequences. Cancer gene therapy holds great promise to become an important addition to the multimodality in the therapy of some forms of cancer.

Gene Transfer Techniques↗

Mutations and altered expression of the human cancer genes: what they tell us about causes.

To understand the causes of cancer, it is necessary to elucidate the molecular basis and environmental factors that influence the carcinogenesis process. Cancers are progressive diseases characterized by the accumulation of defects in many different genes. The patterns of mutation of some genes identified in tumours suggest a direct action of chemicals binding to and altering DNA. Other cancer-associated genes may be altered as a consequence of endogenous mutagens, germ-line mutations, spontaneous mutations that occur during cell replication or increased genetic instability in precancerous cells. Recent advances in molecular biology and genetics have provided new tools and concepts for studying the causes of cancer. We know that cancers are caused by a combination of environmental and genetic factors, and the discovery of the molecular alterations that occur at various stages in different tumours is increasing our understanding of these causes. Thus, we are now beginning to discover which genes are involved, how they function normally and in tumour tissues and why cancers develop after a series of genetic and epigenetic changes in certain cells. As data from studies on cancer-associated genes have accrued, the categories of genes and molecular pathways that have been found to play a role in carcinogenesis have also increased. Genes involved in development and other normal cellular processes have been implicated in cancer. These include genes involved in signal transduction, cell cycle control, DNA repair, cell growth and differentiation (growth factors and growth factor receptors), transcriptional regulation, senescence and apoptosis. Genes involved in angiogenesis, immune regulation, cellular responses to stress, motility, adhesion and invasion are also involved, but less is known about their relationship to carcinogenesis, and these processes are not discussed in this review. The diverse nature of these categories of cancer-related genes indicates the variety of processes that must be disrupted in order for tumours to develop. Many of the genes have several functional domains, and the functions of some have only recently been proposed. In this review, we describe some of the major classes of genes implicated in human cancers and some of the major findings on genetic alterations and dysfunction in human tumours. Comparisons are made with certain rodent models.

Animals↗

Cancer gene search with data-mining and genetic algorithms.

Cancer leads to approximately 25% of all mortalities, making it the second leading cause of death in the United States. Early and accurate detection of cancer is critical to the well being of patients. Analysis of gene expression data leads to cancer identification and classification, which will facilitate proper treatment selection and drug development. Gene expression data sets for ovarian, prostate, and lung cancer were analyzed in this research. An integrated gene-search algorithm for genetic expression data analysis was proposed. This integrated algorithm involves a genetic algorithm and correlation-based heuristics for data preprocessing (on partitioned data sets) and data mining (decision tree and support vector machines algorithms) for making predictions. Knowledge derived by the proposed algorithm has high classification accuracy with the ability to identify the most significant genes. Bagging and stacking algorithms were applied to further enhance the classification accuracy. The results were compared with that reported in the literature. Mapping of genotype information to the phenotype parameters will ultimately reduce the cost and complexity of cancer detection and classification.

Algorithms↗

Parvovirus vectors: use and optimisation in cancer gene therapy.

With the increasing incidence and mortality of cancer worldwide, there is an urgent need for new therapeutic approaches. Gene therapy is one such approach and preliminary data are promising. Viral and nonviral vector systems for gene delivery are available, but most of the current systems suffer from disadvantages such as low transfection efficiencies, in vivo instability, targeting problems, mutagenic potential and immunogenicity. Viruses of the Parvoviridae family, which are characterised by their oncotropism, oncosuppression, long-term gene expression and human apathogenicity, potentially offer advantages as viral vectors. This article evaluates their usefulness in gene therapy strategies for cancer.

Angiogenesis Inhibitors↗

DNA microarrays for assessing ovarian cancer gene expression.

Although DNA microarray analysis is presented as a revolution in gene expression studies, it is in fact based on the classic technique of Southern DNA hybridisation where a labelled DNA probe is hybridised to single stranded DNA that is bound to a solid support matrix. The truly revolutionary aspect of microarray analysis lies in the fact that, within a given cell population, the expression of tens of thousands of genes, and ultimately the entire genome, can be assayed simultaneously. This capability, when coupled with powerful data analysis software, allows researchers to rapidly compare gene expression between two cell populations. In the cancer field, this enables researchers to compare gene expression between normal and malignant cells and to identify genes that are differentially regulated during cancer development. Microarray data can also be used to categorize tumours on the basis of their molecular profile, which may provide important biological, diagnostic and prognostic information. As little as 5 years ago identifying even a few differentially expressed genes may have taken several years and cost tens of thousands of dollars. Today microarrays can identify ten times the number of candidate genes in just a few months and at a tenth of the cost. Even so, microarray analysis is still in its infancy and the technology is advancing rapidly. There is little doubt that microarrays will revolutionize our ability to quantify the complex changes that occur in gene expression during cancer development. The greatest challenge that lies ahead is how to translate this knowledge into clinically useful diagnostic and therapeutic tools. In this review, we describe the technical aspects of DNA microarray analysis and some of the current and future applications of this technology for analysing gene expression in ovarian cancer.

Biomarkers, Tumor↗

Diffusible cytotoxic metabolites contribute to the in vitro bystander effect associated with the cyclophosphamide/cytochrome P450 2B1 cancer gene therapy paradigm.

Tumor cells become sensitive to the inert prodrug cyclophosphamide (CPA) after transfer of the gene encoding cytochrome P450 2B1. This enzyme activates CPA into 4-hydroxycyclophosphamide, which ultimately degrades into acrolein and phosphoramide mustard, the anticancer and DNA-alkylating metabolite. It is imperative that any prodrug-activating gene therapy strategy against cancer possess the capacity to affect the proliferation of tumor cells even when they do not express the transgene (bystander effect), because current methodologies cannot achieve gene transduction in all tumor cells. Prodrug-activating gene therapy schemes described to date exhibit a bystander effect that is not mediated by conditioned medium in culture and may depend on cell contact. In contrast, we find that CPA-sensitized, P450-expressing C6 glioma cells (C6-P450) transfer cytotoxicity to nonexpressing cells by releasing diffusible metabolites through the medium. A 3-h exposure to the prodrug is necessary and sufficient to achieve killing of the transfected cells, and medium conditioned by these cells can kill untransfected cells with similar potency. This bystander effect occurs in the presence of CPA even when only 10% of cells in culture express the P450 2B1 gene, and it is not reproduced by cells that have been irradiated. In an animal model of intracerebral brain tumors, expression of the P450 2B1 gene within the neoplastic cells enhanced significantly the antitumor effect of CPA, even when it was administered systemically. This study shows that CPA/P450 2B1 gene therapy represents a novel tumor-killing strategy that displays an expanded range of cytotoxic action both spatially and temporally within tumor cells and significantly potentiates the anticancer action of CPA when administered i.v.

Animals↗

Recessive cancer genes in meningiomas? An analysis of 31 cases.

Cytogenetic studies on 31 human meningiomas revealed clonal abnormalities in 14 of them. Monosomy 22 was present in three cases as the only abnormality, and in five it was associated with monosomy 18, monosomy 14, loss of X, loss of Y, and trisomy 20, respectively. We found a number of rearrangements involving chromosome #22: an i psu dic(22)(pter----q11::q11----pter) in two cases and a t(18;22)(q12;q11) in another case. Two cases showed a complex translocation involving #7 and #14: t(2;7;14)(q23;q36;q22) and t(1;7;14)(q25;q32;q22), respectively. Other clonal chromosome abnormalities were del(1p) (present in two cases); der(9)t(9;?)(q34;?); der(7)t(7;?)(q31;?); der(22)t(22;?)(q11;?); and a 9p+ chromosome. The relevance for the pathogenesis of human meningiomas of these chromosome anomalies is also discussed with reference to the previous literature. The possible involvement of recessive cancer genes present on the long arm of chromosome #22 is also discussed.

Adult↗

The BRCA1 and BRCA2 breast cancer genes.

Between 5% and 10% of breast cancer cases result from an inherited predisposition. The majority of hereditary forms of breast and ovarian cancer can be accounted for by mutations in two recently identified genes, BRCA1 and BRCA2. Inactivating mutations have been found throughout both genes, and the majority are predicted to result in truncated proteins. Surprisingly, whereas germline mutations have been identified in a growing number of breast or breast and ovarian cancer families, few mutations have been reported in sporadic forms of breast or ovarian cancer. Alternative mechanisms of inactivation have been proposed, but there is currently no strong evidence that these genes are involved in sporadic forms of cancer. Recent studies suggest a role for BRCA1 in transcriptional regulation, as it possesses a conserved amino terminal RING finger domain and an acidic carboxyl domain. Although this role would be consistent with the reported localization of the BRCA1 protein to the nucleus, a cytoplasmic localization and a secretory role for BRCA1 has also been proposed. Current findings suggest that BRCA1 may play an as yet undefined protective role in cells, as it is strongly expressed in epithelial cells undergoing high levels of proliferation in association with differentiation.

Adolescent↗

Surnames and cancer genes.

The surname analysis of over 40,000 Wisconsin cancer mortalities for the period 1979 through 1985 partially reveals the relative genetic component of various major cancers. The surname frequencies and frequency distributions indicate that both tumor-promoting and tumor-suppressing genes may be involved. A number of cancers exhibit some probable genetic component, but genetic involvement seems marked in male and female leukemia and male lung cancer. Evidence is found for autosomal and sex-linked, dominant and recessive patterns. Most surprising is the strong evidence for tumor-suppressing genes for most cancers. Clustering of surnames across cancers evinces a number of Wisconsin surnames that may be involved in a cancer family syndrome.

Female↗

Induction of cytotoxic oxidative stress by D-alanine in brain tumor cells expressing Rhodotorula gracilis D-amino acid oxidase: a cancer gene therapy strategy.

Hydrogen peroxide (H2O2) is a reactive oxygen species (ROS) generated in the stereoselective deamination of D-amino acids catalyzed by D-amino acid oxidase (DAAO). H2O2 readily crosses cellular membranes and damages DNA, proteins, and lipids. The scarcity of DAAO substrates in mammalian organisms and its co-localization with catalase in the peroxisomal matrix suggested that the cytotoxicity of ROS could be harnessed by administration of D-amino acids to tumor cells ectopically expressing DAAO in the cytoplasm. To evaluate this hypothesis, the cDNA encoding the highly active DAAO from the red yeast Rhodotorula gracilis was mutated to remove the carboxy-terminal peroxisomal targeting sequence. A clonal line of 9L glioma cells stably transfected with this construct (9Ldaao17) was found to synthesize active R. gracilis DAAO. Exposure of 9Ldaao17 cells to D-alanine resulted in cytotoxicity at concentrations that were nontoxic to parental 9L cells. Depletion of cellular glutathione further sensitized 9Ldaao17 cells to D-alanine (D-Ala). This result, combined with stimulation of pentose phosphate pathway activity and the production of extracellular H2O2 by 9Ldaao17 cells incubated with D-alanine implicates oxidative stress as the mediator of cytotoxicity. These results demonstrate that expression of R. gracilis DAAO in tumor cells confers chemosensitivity to D-alanine that could be exploited as a novel cancer gene therapy paradigm.

Alanine↗

Cancer gene therapy using plasmid DNA: safety evaluation in rodents and non-human primates.

To evaluate the safety of a plasmid DNA-lipid complex, a series of good laboratory practice (GLP) safety studies were conducted with VCL-1005, a plasmid DNA expression vector containing both the human class I MHC HLA-B7 heavy-chain and the beta 2-microglobulin (beta 2m) light-chain genes formulated with the cationic lipid, DMRIE/DOPE. In mice, the repeated intravenous injection of VCL-1005 at plasmid DNA doses of 0.1, 1.0, or 10 micrograms for 14 days had only incidental effects on clinical chemistry and hematology, and did not result in any organ pathology. Repeated intrahepatic injections of VCL-1005 in mice did not result in significant liver histopathology or significant alterations in liver enzymes. In cynomolgus monkeys, the repeated intravenous administration of VCL-1005 at a cumulative dose of 720 micrograms of DNA had no effects on clinical chemistry, hematology, or organ pathology. Thus, systemic administration of a plasmid DNA expression vector containing the coding sequence for a foreign MHC class I molecule did not result in significant toxicity or a pathological immune response in animals. These results suggest that the direct transfer of VCL-1005, a plasmid DNA-lipid complex, could be used for the safe in vivo delivery of recombinant DNA for a cancer gene therapy trial.

Animals↗

Prodrug activation enzymes in cancer gene therapy.

Among the broad array of genes that have been evaluated for tumor therapy, those encoding prodrug activation enzymes are especially appealing as they directly complement ongoing clinical chemotherapeutic regimes. These enzymes can activate prodrugs that have low inherent toxicity using both bacterial and yeast enzymes, or enhance prodrug activation by mammalian enzymes. The general advantage of the former is the large therapeutic index that can be achieved, and of the latter, the non-immunogenicity (supporting longer periods of prodrug activation) and the fact that the prodrugs will continue to have some efficacy after transgene expression is extinguished. This review article describes 13 different prodrug activation schemes developed over the last 15 years, two of which - activation of ganciclovir by viral thymidine kinase and activation of 5-fluorocytosine to 5-fluorouracil - are currently being evaluated in clinical trials. Essentially all of these prodrug activation enzymes mediate toxicity through disruption of DNA replication, which occurs at differentially high rates in tumor cells compared with most normal cells. In cancer gene therapy, vectors target delivery of therapeutic genes to tumor cells, in contrast to the use of antibodies in antibody-directed prodrug therapy. Vector targeting is usually effected by direct injection into the tumor mass or surrounding tissues, but the efficiency of gene delivery is usually low. Thus it is important that the activated drug is able to act on non-transduced tumor cells. This bystander effect may require cell-to-cell contact or be mediated by facilitated diffusion or extracellular activation to target neighboring tumor cells. Effects at distant sites are believed to be mediated by the immune system, which can be mobilized to recognize tumor antigens by prodrug-activated gene therapy. Prodrug activation schemes can be combined with each other and with other treatments, such as radiation, in a synergistic manner. Use of prodrug wafers for intratumoral drug activation and selective permeabilization of the tumor vasculature to prodrugs and vectors should further increase the value of this new therapeutic modality.

Antineoplastic Agents↗

Targeted cancer gene therapy: the flexibility of adenoviral gene therapy vectors.

Recombinant adenoviral vectors are promising reagents for therapeutic interventions in humans, including gene therapy for biologically complex diseases like cancer and cardiovascular diseases. In this regard, the major advantage of adenoviral vectors is their superior in vivo gene transfer efficiency on a wide spectrum of both dividing and non-dividing cell types. However, this broad tropism at the same time represents an important limitation for their use in therapeutic applications where specific gene transfer is required. This limitation may be overcome by using targeting approaches. In this regard, targeting may be achieved at three levels: transductional targeting, translational targeting and targeting of the expressed transgene. Here we describe our research efforts towards cancer specific gene therapy using these different targeting approaches. The results show that targeting of adenoviral vectors may be achieved using cancer specific cell surface molecules for transductional and transgene targeting or cancer specific promoters for transcriptional targeting. Combinations of these targeting approaches should result in optimized cancer specific gene therapy.

Adenoviridae↗

Combination of the bioreductive drug tirapazamine with the chemotherapeutic prodrug cyclophosphamide for P450/P450-reductase-based cancer gene therapy.

Tirapazamine (TPZ) is a bioreductive drug that exhibits greatly enhanced cytotoxicity in hypoxic tumor cells, which are frequently radiation-resistant and chemoresistant. TPZ exhibits particularly good activity when combined with alkylating agents such as cyclophosphamide (CPA). The present study examines the potential of combining TPZ with CPA in a cytochrome P450-based prodrug activation gene therapy strategy. Recombinant retroviruses were used to transduce 9L gliosarcoma cells with the genes encoding P450 2B6 and NADPH-P450 reductase. Intratumoral coexpression of P450 2B6 with P450 reductase sensitized 9L tumor cells to CPA equally well under normoxic (19.6% O2) and hypoxic (1% O2) conditions. The P450 2B6/P450 reductase combination also sensitized 9L tumor cells to TPZ under both culture conditions. Interestingly, bystander cytotoxic effects were observed for both CPA and TPZ under hypoxia. Furthermore, TPZ exerted a striking growth-inhibitory effect on CPA-treated 9L/2B6/P450 reductase cells under both normoxia and hypoxia, which suggests the utility of this drug combination for P450-based gene therapy. To evaluate this possibility, 9L tumor cells were transduced in culture with P450 2B6 and P450 reductase and grown as solid tumors in severe combined immune deficient mice in vivo. Although these tumors showed little response to TPZ treatment alone, tumor growth was significantly delayed, by up to approximately four doubling times, when TPZ was combined with CPA. Some toxicity from the drug combination was apparent, however, as indicated by body weight profiles. These findings suggest the potential benefit of incorporating TPZ, and perhaps other bioreductive drugs, into a P450/P450 reductase-based gene therapy strategy for cancer treatment.

Animals↗

In vivo cancer gene therapy by adenovirus-mediated transfer of a bifunctional yeast cytosine deaminase/uracil phosphoribosyltransferase fusion gene.

Direct transfer of prodrug activation systems into tumors was demonstrated to be an attractive method for the selective in vivo elimination of tumor cells. However, most current suicide gene therapy strategies are still handicapped by a poor efficiency of in vivo gene transfer and a limited bystander cell killing effect. In this study, we describe a novel and highly potent suicide gene derived from the Saccharomyces cerevisiae cytosine deaminase (FCY1) and uracil phosphoribosyltransferase genes (FUR1). This suicide gene, designated FCU1, encodes a bifunctional chimeric protein that combines the enzymatic activities of FCY1 and FUR1 and efficiently catalyzes the direct conversion of 5-FC, a nontoxic antifungal agent, into the toxic metabolites 5-fluorouracil and 5-fluorouridine-5'monophosphate, thus bypassing the natural resistance of certain human tumor cells to 5-fluorouracil. Unexpectedly, although the uracil phosphoribosyltransferase activity of FCU1 was equivalent to that encoded by FUR1, its cytosine deaminase activity was 100-fold higher than the one encoded by FCY1. As a consequence, tumor cells transduced with an adenovirus expressing FCU1 (Ad-FCU1) were sensitive to concentrations of 5-FC 1000-fold lower than the ones used for cells transduced with a vector expressing FCY1 (Ad-FCY1). Furthermore, bystander cell killing was also more effective in cells transduced with Ad-FCU1 than in cultures infected with Ad-FCY1 or Ad-FUR1, alone or in combination. Finally, intratumoral injections of Ad-FCU1 into allo- or xenogeneic tumors implanted s.c. into mice, with concomitant systemic administration of 5-FC, led to substantial delays in tumor growth. These unique properties make of the FCU1/5-FC prodrug activation system a novel and powerful candidate for cancer gene therapy strategies.

Adenoviridae↗

Class discovery analysis of the lung cancer gene expression data.

Traditional histological classification of lung cancer subtypes is informative, but incomplete. Recent studies of gene expression suggest that molecular classification can be used for effective diagnostic and prediction of the treatment outcome. We attempt to build a molecular classification based on the public data available from a few independent sources. The data is reanalyzed with a new cluster analysis algorithm. This algorithm allows us to preserve the high dimensionality of data and produce the cluster structure without preliminary selection of significant genes or any other presumption about the relation between different cancer and normal tissue samples. The resulting clusters are generally consistent with the histological classification. However, our analysis reveals many additional details and subtypes of previously defined types of lung cancer. Large histological cancer types can be further divided into subclasses with different patterns of gene expression. These subtypes should be taken into account in diagnostics, drug testing, and treatment development for lung cancer patients.

Cluster Analysis↗

In silico identification of breast cancer genes by combined multiple high throughput analyses.

Publicly available human genomic sequence data provide an unprecedented opportunity for researchers to decode the functionality of human genome. Such information is extremely valuable in cancer prevention diagnosis and treatment. Cancer Genome Anatomy Project (CGAP) and Gene Expression Omnibus (GEO) are two bioinformatic infrastructures for studying functional genomics. The goal of this study is to explore the feasibility of incorporating the Internet-available bioinformatic databases to discover human breast cancer-related genes. Several tools including the Gene Finder, Virtual Northern (vNorthern) and SAGE digital gene expression displayer (DGED) were used to analyze differential gene expression between benign and malignant breast tissues. A pilot study was performed using both EST and SAGE vNorthern to analyze the expression of a panel of known genes, including high abundance genes beta-actin and G3PDH, low abundance genes BRCA1 and p53, tissue-specific genes CEA and PSA and two breast cancer-related genes Her2/neu and MUC1. We found a high expression of beta-actin and G3PDH and a low expression of BRCA1 and p53 across different types of tissues as well as a tissue-specific expression of CEA in colon and PSA in prostate. A further analysis of 30 known breast cancer-related genes in breast cancer tissues by vNorthern demonstrated a high expression of oncogenes and low expression of tumor suppressor genes. An open-end analysis of two pools of breast cancer and benign breast tissue libraries by SAGE DGED produced 53 differentially expressed genes according to the screening criteria of a >five-fold difference and p<0.01. Further analysis by EST vNorthern and virtual microarray analysis reduced the candidate genes to six, with four down-regulated genes, ANXA1, CAV1, KRT5 and MMP7, and two up-regulated genes, ERBB2 and G1P3 in breast cancer. These findings were validated by a real-time RT-PCR analysis in eight paired human breast cancer tissue samples. We conclude that the combined multiple high throughput analyses is an effective data mining strategy in cancer gene identification. This approach may improve the usage of public available genomic data through strategic data mining of high throughput analysis.

Blotting, Northern↗

Transcriptional targeting of acute hypoxia in the tumour stroma is a novel and viable strategy for cancer gene therapy.

Deregulated tumour growth and neovascularization result in an inadequate tumour blood supply, leading to areas of chronic hypoxia and necrosis. Irregular vascular structure and abnormal tumour physiology also cause erratic blood flow in tumour vessels. We reasoned that tumour stroma, including vascular endothelial cells, would consequently experience transient hypoxia that may allow transcriptional targeting as part of an antivascular gene therapy approach to cancer. To exploit hypoxia for transcriptional regulation, retroviral vectors were generated with modified LTRs: a 6-mer of hypoxia response elements in place of the viral enhancer produced near wild-type levels of expression in hypoxia but was functionally inert in normoxia. In a tumour xenograft model, expression was mainly around areas of necrosis, which were shown to be hypoxic; no expression was detected in tumour stroma. Time-course experiments in vitro demonstrated that expression was transient in response to a hypoxic episode, such that a reporter gene would be insensitive to acute hypoxia in vivo. In contrast, a significant therapeutic effect was seen upon ganciclovir administration with a vector expressing thymidine kinase (TK) in the tumour stroma. Expression of TK was more effective when targeted to acute hypoxia in the stroma compared to chronic hypoxia in the poorly vascularized regions of the tumour cell compartment. The data presented here are evidence that hypoxia in the stromal compartment does occur and that transient hypoxia constitutes a valid therapeutic target.

3T3 Cells↗