Development of colorectal cancer gene therapy

Colorectal cancer is the number two cancer killer in the United States. Although primary colorectal cancer can be resected by surgery, patients often die from metastatic disease. Liver is the most common site of metastasis for colorectal cancer. It is difficult to selectively kill metastatic colon cancer cells without damaging normal liver functions. Thus it becomes a high priority to develop a selective targeting system for the treatment of colorectal cancer liver metastasis. ^ In the current study, a gene therapy strategy that allows a therapeutic gene to selectively destroy metastatic colon cancer cells without affecting normal liver cells is developed. The APC gene is frequently mutated in colorectal cancers. These mutations activate β-catenin responsive promoters. An optimized β-catenin responsive promoter, containing TCF consensus binding sites, was engineered for this study. This TCF promoter was found to express preferentially in APC mutated/β-catenin activated colorectal cancers while maintaining a low expression level in cell lines of liver origin. A recombinant adenoviral vector AdTCF-TK, in which the TCF promoter controls expression of the herpes simplex virus thymidine kinase gene, selectively destroyed colorectal cancer cells in vitro. AdTCF-TK virus and ganciclovir treatment also inhibited the growth of solid tumour derived from the colon cancer cell line DLD-1 in nude mice. In a control experiment, the growth inhibition effect of the same virus was attenuated in a liver cancer cell line. ^ In the present study, a novel method was developed to target therapeutic gene expression to colon cancer cells at reduced liver toxicity to the patients. The same gene therapy design may also be applied to treat tumours carrying mutations in the β-catenin gene, which is a central component of the APC signal transduction pathway. In summary, the principle for a rational design of a cancer specific treatment approach is demonstrated in this study. In the future, mutations in cancer patients will be more easily identified. Using the same principle developed in this study, specific regimen can be designed to treat these patients based on the specific genetic changes found in the tumour. ^

BMP-SIGNALING REGULATES A COMMON TRANSCRIPTIONAL PROGRAM TO CONTROL FACIAL FORM AND SKELETAL MORPHOGENESIS

Much of the craniofacial skeleton, such as the skull vault, mandible and midface, develops through direct, intramembranous ossification of the cranial neural crest (CNC) derived progenitor cells. Bmp-signaling plays critical roles in normal craniofacial development, and Bmp4 deficiency results in craniofacial abnormalities, such as cleft lip and palate. We performed an in depth analysis of Bmp4, a critical regulator of development, disease, and evolution, in the CNC. Conditional Bmp4 overexpression, using a tetracycline regulated Bmp4 gain of function allele, resulted in facial form changes that were most dramatic after an E10.5 Bmp4 induction. Expression profiling uncovered a signature of Bmp4 induced genes (BIG) composed predominantly of transcriptional regulators controlling self-renewal, osteoblast differentiation, and negative Bmp autoregulation. The complimentary experiment, CNC inactivation of Bmp2, Bmp4, and Bmp7, resulted in complete or partial loss of multiple CNC derived skeletal elements revealing a critical requirement for Bmp-signaling in membranous bone and cartilage development. Importantly, the BIG signature was reduced in Bmp loss of function mutants indicating similar Bmp-regulated target genes underlying facial form modulation and normal skeletal morphogenesis. Chromatin immunoprecipitation (ChIP) revealed a subset of the BIG signature, including Satb2, Smad6, Hand1, Gadd45g and Gata3 that was bound by Smad1/5 in the developing mandible revealing direct, Smad-mediated regulation. These data indicate that Bmp-signaling regulates craniofacial skeletal development and facial form by balancing self-renewal and differentiation pathways in CNC progenitors.

Statistical Methods for Differential Expressions of Genes Detected in Multiple-Condition Experiment of Microarray

Most studies of differential gene-expressions have been conducted between two given conditions. The two-condition experimental (TCE) approach is simple in that all genes detected display a common differential expression pattern responsive to a common two-condition difference. Therefore, the genes that are differentially expressed under the other conditions other than the given two conditions are undetectable with the TCE approach. In order to address the problem, we propose a new approach called multiple-condition experiment (MCE) without replication and develop corresponding statistical methods including inference of pairs of conditions for genes, new t-statistics, and a generalized multiple-testing method for any multiple-testing procedure via a control parameter C. We applied these statistical methods to analyze our real MCE data from breast cancer cell lines and found that 85 percent of gene-expression variations were caused by genotypic effects and genotype-ANAX1 overexpression interactions, which agrees well with our expected results. We also applied our methods to the adenoma dataset of Notterman et al. and identified 93 differentially expressed genes that could not be found in TCE. The MCE approach is a conceptual breakthrough in many aspects: (a) many conditions of interests can be conducted simultaneously; (b) study of association between differential expressions of genes and conditions becomes easy; (c) it can provide more precise information for molecular classification and diagnosis of tumors; (d) it can save lot of experimental resources and time for investigators.^