Characterization of Glucocorticoid Receptor Promoter Methylation in Breast Cancer

Epidemiological studies have identified psychological stress as a significant risk factor in breast cancer. The stress response is regulated by the HPA axis in the brain and is mediated by glucocorticoid receptor (GR) signalling. It has been found that early life events can affect epigenetic programming of GR, and methylation of the GR promoter has been reported in colorectal tumourigenesis. Decreased GR expression has also been observed in breast cancer. In addition, it has been previously demonstrated that unliganded GR can serve as a direct activator of the BRCA1 promoter in mammary epithelial cells. We propose a model whereby methylation of the GR promoter in the breast significantly lowers GR expression, resulting in insufficient BRCA1 promoter activation and an increased risk of developing cancer. Antibody-based methylated DNA enrichment was followed by qPCR analysis (MeDIP-qPCR) in a novel assay developed to detect locus-specific methylation levels. It was found that 13% of primary breast tumours were hypermethylated at the GR proximal promoter whereas no methylation was detected in normal tissue. RT-PCR and 5’ RACE analysis identified exon 1B as the predominant alternative first exon in the breast. Tumours methylated near exon 1B had decreased GR expression compared to unmethylated samples, suggesting that this region is important for transcriptional regulation of GR. It was also determined that GR and BRCA1 expression was decreased in breast tumour compared to normal tissue. Furthermore, the relative expression of GR and BRCA1 measured by qRT-PCR was correlated in normal tissue but this association was not found in tumour tissue. From this, it appears that lower GR levels with associated decreased BRCA1 expression in tissues may be a predisposing factor for breast cancer. Based on these results we propose a role for GR as a potential tumour suppressor gene in the breast due to its association with BRCA1, also a tumour suppressor gene, as well as its consistently decreased expression in breast tumours and methylation of its proximal promoter in a subset of cancer patients.

Elucidation of the interactions between the transcription factor E2A and the transcriptional co-activator CBP/p300

E2A is a transcription factor that plays a particularly critical role in lymphopoiesis. The chromosomal translocation 1;19, disrupts the E2A gene and results in the expression of the fusion oncoprotein E2A-PBX1, which is implicated in acute lymphoblastic leukemia. Both E2A and E2A-PBX1 contain two activation domains, AD1 and AD2, which comprise conserved ΦxxΦΦ motifs where Φ denotes a hydrophobic amino acid. These domains function to recruit transcriptional co-activators and repressors, including the histone acetyl transferase CREB binding protein (CBP) and its paralog p300. The PCET motif within E2A AD1 interacts with the KIX domain of CBP/p300, the disruption of which abrogates the transcriptional activation by E2A and the transformative properties of E2A-PBX1. The generation of a peptide-based inhibitor targeting the PCET:KIX interaction would serve useful in further assessing the role of E2A and E2A-PBX1 in lymphopoiesis and leukemogenesis. An interaction between E2A AD2 and the KIX domain has also been recently identified, and the TAZ domains of CBP/p300 have been shown to interact with several transcription factors that contain ΦxxΦΦ motifs. Thus the design of an inhibitor of the E2A:CBP/p300 interaction requires the full complement of interactions between E2A and the various domains of CBP/p300 to be elucidated. Here, we have used nuclear magnetic resonance (NMR) spectroscopy to determine that AD2 interacts with KIX at the same site as PCET, which indicates that the E2A:KIX interaction can be disrupted by targeting a single binding site. Using an iterative synthetic peptide microarray approach, a peptide with the sequence DKELQDLLDFSLQY was derived from PCET to interact with KIX with higher affinity than the wild type sequence. This peptide now serves as a lead molecule for further development as an inhibitor of the E2A:CBP/p300 interaction. Fluorescence anisotropy, peptide microarray technology, and isothermal titration calorimetry were employed to characterize interactions between both TAZ domains of CBP/p300 and the PCET motif and AD2 of E2A. Alanine substitution of residues within PCET demonstrated that the ΦxxΦΦ motif is a key mediator of these interactions, analogous to the PCET:KIX interaction. These findings now inform future work to establish possible physiological roles for the E2A:TAZ1 and E2A:TAZ2 interactions.

The use of morphological characteristics and texture analysis in the identification of tissue composition in prostatic neoplasia

Quantitative examination of prostate histology offers clues in the diagnostic classification of lesions and in the prediction of response to treatment and prognosis. To facilitate the collection of quantitative data, the development of machine vision systems is necessary. This study explored the use of imaging for identifying tissue abnormalities in prostate histology. Medium-power histological scenes were recorded from whole-mount radical prostatectomy sections at × 40 objective magnification and assessed by a pathologist as exhibiting stroma, normal tissue (nonneoplastic epithelial component), or prostatic carcinoma (PCa). A machine vision system was developed that divided the scenes into subregions of 100 × 100 pixels and subjected each to image-processing techniques. Analysis of morphological characteristics allowed the identification of normal tissue. Analysis of image texture demonstrated that Haralick feature 4 was the most suitable for discriminating stroma from PCa. Using these morphological and texture measurements, it was possible to define a classification scheme for each subregion. The machine vision system is designed to integrate these classification rules and generate digital maps of tissue composition from the classification of subregions; 79.3% of subregions were correctly classified. Established classification rates have demonstrated the validity of the methodology on small scenes; a logical extension was to apply the methodology to whole slide images via scanning technology. The machine vision system is capable of classifying these images. The machine vision system developed in this project facilitates the exploration of morphological and texture characteristics in quantifying tissue composition. It also illustrates the potential of quantitative methods to provide highly discriminatory information in the automated identification of prostatic lesions using computer vision.

Cloning from tissue surrogates: antimicrobial peptide (esculentin) cDNAs from the defensive skin secretions of Chinese ranid frogs

The defensive skin secretions of amphibians are a rich source of bioactive peptides. Here we describe a rapid technique for skin granular gland transcriptome cloning from a surrogate tissue-the secretion itself. cDNA libraries were constructed from lyophilized skin secretion from each of the Chinese frogs (Rana schmackeri, Rana versabilis, and Rana plancyi fukienensis) using magnetic oligo(dT) bead-captured polyadenylated mRNA as templates. Specific esculentin cDNAs were amplified by 3'-RACE using a degenerate primer designed for a consensus nucleotide sequence in the 5' untranslated region of previously characterized ranid frog peptide cDNAs. The cloned cDNAs were found to encode the antimicrobial peptides esculentins 1 and 2 from each of the species examined. The presence of predicted peptide structures in skin secretions was confirmed by MALDI-TOF mass spectrometry and automated Edman degradation. This experimental approach can thus rapidly expedite parallel transcriptome and peptidome analysis of amphibian granular gland secretions without harming or sacrificing donor animals.