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Cancer genes generated by rare chromosomal rearrangements rather than activation of oncogenes.

The 20 known transforming onc genes of retroviruses are defined by sequences that are transduced from cellular genes, termed proto-oncogenes or cellular oncogenes. Based on these sequences, viral onc genes have been postulated to be transduced cellular cancer genes and proto-onc genes have been postulated to be latent cancer genes that can be activated from within the cell to cause virus-negative tumors. The hypothesis is popular because it promises direct access to cellular cancer genes. However, the existence of latent cancer genes presents a paradox since such genes are clearly undesirable. The hypothesis predicts (i) that viral onc genes and proto-onc genes are isogenic, (ii) that expression of proto-onc genes induces tumors, (iii) that activated proto-onc genes transform diploid cells upon transfection, like viral onc genes, and (iv) that diploid tumors exist that differ from normal cells only in transcriptionally or mutationally activated proto-onc genes. As yet, none of these predictions is confirmed. Moreover, the probability of spontaneous transformation in vivo is at least 10(9) times lower than predicted from the mechanisms thought to activate proto-onc genes. Therefore the hypothesis, that proto-onc genes are latent cellular oncogenes, appears to be an overinterpretation of sequence homology to structural and functional homology with viral onc genes. Here it is proposed that only rare truncations and illegitimate recombinations that alter the germline configuration of cellular genes, generate viral and possibly cellular cancer genes. The clonal chromosome abnormalities that are consistently found in tumor cells are microscopic evidence for rearrangements that may generate cancer genes. The clonality indicates that the tumors are initiated with, and possibly by, these abnormalities as predicted by Boveri in 1914 (Zur Frage der Entstehung maligner Tumoren, Jena, Fischer).

Chromosome Aberrations↗

Current developments in adenovirus-based cancer gene therapy.

Adenovirus (Ad)-based cancer gene therapy is a promising, novel approach for treating cancer resistant to established treatment modalities. Unfortunately, the efficacy of nonreplicative first generation Ads was low and data from clinical trials were disappointing. To address this problem, conditionally replicating Ads have been constructed. Infection of tumor cells with conditionally replicating Ads results in tumor-specific replication, subsequent oncolysis and release of the virus progeny. Recently, it has been suggested that the low expression of the coxsackie-Ad receptor is the rate-limiting factor for infectivity with serotype 5 (Ad5). Unfortunately, coxsackie-Ad receptor expression is highly variable and often low on many tumor types. Consequently, molecular strategies have been applied for the development of coxsackie-Ad receptor-independent oncolytic Ads. This review describes recent developments of Ad-based cancer gene therapy, including novel engineering techniques of the Ad capsid for efficient tumor targeting, as well as targeting techniques, to restrict transgene expression to cancer cells.

Adenoviridae↗

Viral and nonviral gene delivery vectors for cancer gene therapy.

The development of vectors that are capable of efficient gene delivery is crucial to the success of gene therapy. We have developed both recombinant viral and nonviral vectors with the goal of correcting genetic abnormalities in cancer cells that are responsible for malignant transformation. Infection of cancer cells by recombinant adenovirus (Adv) indicates that the level of transduction is variable and dependent on the virus-to-cell ratio. Infection of cells with Adv/p53 resulted in levels of tumor suppressor p53 gene expression that could mediate tumor cell growth suppression and apoptosis, both in vitro and in vivo. The treatment of cancer cells with cisplatin prior to Adv transduction resulted in a higher level of therapeutic gene expression. Epidermal growth factor (EGF)/DNA complexes targeted to cancer cells overexpressing the EGF receptor resulted in efficient transduction of several lung cancer cell lines in vitro. As a result, these vectors provide improved methods with which to treat cancer in the clinical setting with gene therapy.

Adenoviridae↗

Cancer gene discovery using digital differential display.

The Cancer Gene Anatomy Project database of the National Cancer Institute has thousands of expressed sequences, both known and novel, in the form of expressed sequence tags (ESTs). These ESTs, derived from diverse normal and tumor cDNA libraries, offer an attractive starting point for cancer gene discovery. Using a data-mining tool called Digital Differential Display (DDD) from the Cancer Gene Anatomy Project database, ESTs from six different solid tumor types (breast, colon, lung, ovary, pancreas, and prostate) were analyzed for differential expression. An electronic expression profile and chromosomal map position of these hits were generated from the Unigene database. The hits were categorized into major classes of genes including ribosomal proteins, enzymes, cell surface molecules, secretory proteins, adhesion molecules, and immunoglobulins and were found to be differentially expressed in these tumorderived libraries. Genes known to be up-regulated in prostate, breast, and pancreatic carcinomas were discovered by DDD, demonstrating the utility of this technique. Two hundred known genes and 500 novel sequences were discovered to be differentially expressed in these select tumor-derived libraries. Test genes were validated for expression specificity by reverse transcription-PCR, providing a proof of concept for gene discovery by DDD. A comprehensive database of hits can be accessed at http:// www.fau.edu/cmbb/publications/cancergenes. htm. This solid tumor DDD database should facilitate target identification for cancer diagnostics and therapeutics.

Biological Specimen Banks↗

External imaging of CCND1 cancer gene activity in experimental human breast cancer xenografts with 99mTc-peptide-peptide nucleic acid-peptide chimeras.

UNLABELLED: Detection of a new or recurrent breast cancer lesion relies on physical examination and imaging studies, primarily mammography, followed by histopathologic evaluation of biopsy tissue for morphologic confirmation. Approximately 66%-85% of detected lesions are not malignant. Therefore, biopsies are unnecessary for at least two thirds of patients. Human estrogen receptor-positive breast cancer cells typically display an elevated level of cyclin D1 protein because of the overexpression of CCND1 messenger RNA (mRNA) and an elevated level of insulin-like growth factor 1 (IGF1) receptor (IGF1R) because of the overexpression of IGF1R mRNA. We hypothesized that scintigraphic detection of CCND1 peptide nucleic acid (PNA) hybridization probes with a (99m)Tc-chelating peptide on the N terminus and an IGF1 peptide loop on the C terminus could detect CCND1 mRNA in human MCF7 breast cancer xenografts in nude mice from outside the body. METHODS: We prepared the CCND1 probes as well as mismatched controls by solid-phase synthesis. We used fluorescence microscopy to detect the cellular uptake of fluoresceinyl probes and quantitative reverse transcription-polymerase chain reaction to detect the hybridization of probes to mRNA. We imaged (99m)Tc-probes in MCF7 xenografts scintigraphically and measured distribution by scintillation counting of dissected tissues. RESULTS: IGF1R-overexpressing MCF7 cells internalized the fluorescein-chelator-CCND1 PNA-IGF1 peptide but not the mismatched control peptide. The chelator-CCND1 PNA-IGF1 peptide but not the control peptide lowered the level of cyclin D1 protein in IGF1R-overexpressing MCF7 xenografts in nude mice after intratumoral injection. IGF1R-overexpressing MCF7 xenografts in nude mice were visualized at 4, 12, and 24 h after tail vein administration of the (99m)Tc-CCND1 antisense probe but not the control probe. (99m)Tc-chimeras were distributed normally in the kidneys, liver, tumors, and other tissues. CONCLUSION: Cancer gene activity can be detected from outside the body by probing with radionuclide-chelator-PNA-peptide chimeras.

Animals↗

Aspects of lung cancer gene expression profiling.

Lung cancer is the most common cancer in the world. In the majority of cases, a tumor will have already become disseminated at the time of diagnosis, and extensive efforts to improve diagnosis and therapy have had no major success so far. Lung cancer gene expression profiling provides novel diagnostic and prognostic markers and a basis for targeted therapies involving small-molecule and antibody-based approaches. To enhance further research and to translate knowledge gained at the molecular level into novel therapeutic concepts, this review summarizes gene expression analyses of lung cancer performed at the RNA level using suppression subtractive hybridization, serial analysis of gene expression and cDNA and oligonucleotide microarrays, and discusses major findings.

Biomarkers, Tumor↗

Vector-mediated cancer gene therapy: an overview.

In recent years there has been a dramatic increase in developing gene therapy approaches for the treatment of cancer. The two events that have permitted the formulation of concept of cancer gene therapy are the new understanding of the molecular mechanisms underlying oncogenesis, and the development of the DNA-delivery vehicles or vectors. Many approaches to cancer gene therapy have been proposed, and several viral and non-viral vectors have been utilized. The purpose of this review article is to describe the various strategies of cancer gene therapy (transfer of tumor suppressor genes, suicide genes-enzyme/pro-drug approach, inhibition of dominant oncogenes, immunomodulation approaches, expression of molecules that affect angiogenesis, tumor invasion and metastasis, chemosensitization and radiosensitization approaches, and chemoprotection of stem cells). The chapter also reviews the commonly used vectors (retroviral vectors, adenoviral vectors, adeno-associated viral vectors, pox viruses, herpes simplex viruses, HIV- vectors, non-viral vectors and targetable vectors) for cancer gene therapy. Some of the important issues in cancer gene therapy, and the potential future directions are also being discussed.

Forecasting↗

Cancer gene expression database (CGED): a database for gene expression profiling with accompanying clinical information of human cancer tissues.

Gene expression profiling of cancer tissues is expected to contribute to our understanding of cancer biology as well as developments of new methods of diagnosis and therapy. Our collaborative efforts in Japan have been mainly focused on solid tumors such as breast, colorectal and hepatocellular cancers. The expression data are obtained by a high-throughput RT-PCR technique, and patients are recruited mainly from a single hospital. In the cancer gene expression database (CGED), the expression and clinical data are presented in a way useful for scientists interested in specific genes or biological functions. The data can be retrieved either by gene identifiers or by functional categories defined by Gene Ontology terms or the Swiss-Prot annotation. Expression patterns of multiple genes, selected by names or similarity search of the patterns, can be compared. Visual presentation of the data with sorting function enables users to easily recognize of relationships between gene expression and clinical parameters. Data for other cancers such as lung and thyroid cancers will be added in the near future. The URL of CGED is http://cged.hgc.jp.

Databases, Genetic↗

Biological principles and clinical development of prostate cancer gene therapy.

Several clinical trials of prostate cancer gene therapy are underway. The therapeutic genes being evaluated by these and other, forthcoming, trials include immunogenes, cell death-inducing genes, antioncogenes, and tumor suppressor genes. Constraints of current gene transfer vectors limit, to local-regional targeting, those gene therapy strategies that do not rely on an intervening immune response. Preclinical models predict modest, if any, therapeutic effects with current forms of prostate cancer gene therapy. Using biological surrogate endpoints and applying further preclinical advances will allow clinical prostate cancer gene therapy to attain its full potential.

Adenoviridae↗

Sleeping beauty: a novel cancer gene discovery tool.

The National Cancer Institute and the National Human Genome Research Institute recently announced a 3-year 100-million-dollar pilot study to use large-scale resequencing of genes in human tumors to identify new cancer genes. The hope is that some of these genes can be used as drug targets for developing better therapeutics for treating cancer. Although this effort will identify new cancer genes, it could be made more efficient by preferentially resequencing genes identified as novel candidate cancer genes in animal models of cancer. Although retroviral insertional mutagenesis has proven to be an effective tool for identifying novel cancer genes in the mouse, these studies are limited by the fact that retroviral mutagenesis primarily induces hematopoietic and mammary cancer, but little else, while the majority of cancers affecting humans are solid tumors. Recently, two groups have shown that sleeping beauty (SB) transposon-based insertional mutagenesis can also identify novel candidate cancer genes in the mouse. Unlike retroviral infection, SB transposition can be controlled to mutagenize any target tissue and thus potentially induce many different kinds of cancer, including solid tumors. SB transposition in animal models of cancer could therefore greatly facilitate the identification of novel human cancer genes and the development of better cancer therapies.

Animals↗

Multidrug Resistance and Prodrug Activation for Cancer Gene Therapy of Breast Cancer.

Current approaches to the treatment of cancer (radiation and chemotherapy) are limited by the toxicity to normal tissues and the sensitivity of tumor cells to these treatments. The use of gene delivery vector systems for the introduction of genetic elements into normal and neoplastic tissues which code for proteins that protect the normal chemotherapy-sensitive tissues and sensitize the tumor cells to radiation and chemotherapy, may contribute to an overall improvement in the outcome of cancer treatment programs. This chapter will review the clinical trials either completed or about to be initiated which are designed to accomplish these goals.

Journal Article↗

[Prostate cancer gene therapy].

With the advance in genetic engineering, tumor biology and immunology, gene therapy has been recognized as a promising new treatment option for cancer including prostate cancer. Several clinical trials of prostate cancer gene therapy are currently underway, using therapeutic genes which include suicide genes, immunomodulatory genes, tumor suppressor genes and anti-oncogenes. Although the gene therapy for prostate cancer as a clinical alternative is still early stage which requires several technological breakthrough, some information obtained from clinical trial indicates full potential of prostate cancer gene therapy. Concordant progress both in the basic research and gene therapy technology will make prostate cancer gene therapy ready for wide-scale of practice in the future. In this report, general concept and current progress in prostate cancer gene therapy are summarized.

Adenoviridae↗

Prostate cancer gene therapy: outcome of basic research and clinical trials.

With the advances in genetic engineering, tumor biology, and immunology, gene therapy has been recognized as a promising new treatment option for cancer, including prostate cancer. Several clinical trials of prostate cancer gene therapy currently underway are using therapeutic genes, including suicide genes, immunomodulatory genes, tumor suppressor genes, and antioncogenes. Although gene therapy for prostate cancer as a clinical alternative is still at an early stage that requires several technological breakthroughs, information obtained from clinical trials indicates the full potential of prostate cancer gene therapy. Concordant progress in basic research and gene therapy technology will ready prostate cancer gene therapy for widescale use in the future. In this report, the general concept and current progress in prostate cancer gene therapy are summarized.

Animals↗

[Prostate cancer gene therapy].

With the advance in genetic engineering, tumor biology and immunology, gene therapy has been recognized as a promising new treatment option for cancer including prostate cancer. Several clinical trials of prostate cancer gene therapy are currently underway, using therapeutic genes which include suicide genes, immunomodulatory genes, tumor suppressor genes and anti-oncogenes. Although the gene therapy for prostate cancer as a clinical alternative is still early stage which requires several technological breakthrough, some information obtained from clinical trial indicates full potential of prostate cancer gene therapy. Concordant progress both in the basic research and gene therapy technology will make prostate cancer gene therapy ready for wide scale of practice in the future. In this report, general concept and current progress in prostate cancer gene therapy are summarized.

Genetic Therapy↗

Using cancer profiles to identify synthetic lethal therapeutic targets and predictive biomarkers in cancer gene dependency data.

MOTIVATION: Large scale loss-of-function screens utilising CRISPR or siRNA can provide profound insights into the importance of individual genes for the survival of a cancer cell and can drive the identification of therapeutic targets and biomarkers, and the development of targeted drugs. However, the analysis of these data and the substantial bodies of metadata that relate to them, is technically challenging and typically requires substantial expertise in data science and computer coding. RESULTS: To facilitate the analysis of cancer gene dependency data by cancer biologists and clinical scientists, we have developed DepMine-a computational toolkit providing a powerful system for framing complex queries relating cancer gene dependency to the underlying genetic changes that occur in cancer cells. DepMine identifies synthetic lethal relationships between putative target genes and complex 'cancer profiles' built from user-specified combinations of mutations, copy-number variation, and expression levels, and can refine these to optimal biomarker definitions for target dependency. AVAILABILITY: The Python implementation of DepMine and associated data files can be obtained at https://github.com/UOSbioinformaticslab/depmine and is free to academics and Not-For-Profit organisations. The DepMine release referenced in this paper is archived as DOI: 10.5281/zenodo.19570601.

Humans↗

A novel nonviral cytoplasmic gene expression system and its implications in cancer gene therapy.

We recently have developed a unique cytoplasmic transient gene expression system based on cotransfection of target cells with bacteriophage T7 RNA polymerase (RNAP) and plasmid DNA vectors containing a T7 autogene. Because this T7 system is self-initiating, self-maintaining, and requires no cellular factors for transcription, it is therefore likely to function in any mammalian cell with any gene both in vitro and, more importantly, in vivo. In this study we demonstrate that the T7 DNA vector and T7 RNAP could be efficiently codelivered to cultured cells by lipofection. Different target genes were expressed by the T7 system in a wide variety of mammalian cells including several tumor cell lines. Gene expression could be detected in more than 30% of the cells of some tumor cell lines transiently transfected by the T7 vector. Average activity of the reporter enzyme (luciferase) expressed by a transfected cell was relatively constant regardless of the cell line used. When a T7-luciferase vector was directly injected into various tissues of mice without the use of liposomes, luciferase activity could be found in the injected liver, muscle, brain and tail connective tissues. The luciferase levels expressed by the T7 system were found to be up to 200-fold higher, depending upon the injected tissues, than levels achieved with a traditional nuclear gene expression vector. Direct tumor injection with a T7-beta-galactosidase (beta-gal) construct resulted in beta-gal gene expression in tumor cells near the injection sites. In addition, direct injection of the T7 system in mice did not generate detectable quantities of antibodies against the T7 RNAP. These results suggest that this gene expression system may be useful in many different medical applications such as cancer gene therapies and DNA vaccination, where transient but rapid and efficient gene expression is required.

Animals↗

The therapeutic efficacy of adenoviral vectors for cancer gene therapy is limited by a low level of primary adenovirus receptors on tumour cells.

Replication-defective adenoviral vectors are currently being employed as gene delivery vehicles for cancer gene therapy. To address the hypothesis that the therapeutic efficacy of adenoviral vectors is restricted by their inability to infect tumour cells expressing low levels of the primary cellular receptor for adenoviruses, the coxsackievirus and adenovirus receptor (CAR), we have employed a pair of ovarian cancer cell lines differing only in the expression of a primary receptor for Ad5. This novel system thus allowed the direct evaluation of the relationship between the efficacy of an adenoviral vector and the primary receptor levels of the host cancer cell, without the confounding influence of other variable cellular factors. We demonstrate that a deficiency of the primary cellular receptor on the tumour cells restricts the efficacy of adenoviral vectors in two distinct cancer gene therapy approaches, TP53 gene replacement therapy and herpes simplex virus thymidine kinase/ganciclovir suicide gene therapy. Moreover, we show that a deficiency of the primary receptor on the tumour cells limits the efficiency of adenovirus-mediated gene transfer in vivo. Since a number of studies have reported that primary cancer cells express only low levels of CAR, our results suggest that strategies to redirect adenoviruses to achieve CAR-independent infection will be necessary to realize the full potential of adenoviral vectors in the clinical setting.

Adenoviridae↗