Prostate-specific antigen: gene structure and regulation of expression

As a start of our study of prostate-specific and androgen-dependent expression of PA, various PA cDNAs (Chapter II) and the PA gene (Chapter Ill) were isolated and characterized. The PA gene turned out to be a member of a small kaHikrein family, encompassing two other closely related genes Ithe human Glandular Kal!ikrein-1 gene (hGK-1), and the tissue kallikrein gene {KLK1)]. Genetic characterization of the human kallikrein genes showed clustering in a 60 kb segment on chromosome 19q13.2-13.4 (Chapters IV and V). The hGK-1 gene shows a strong homology to PA and is, similarly to PA, exclusively expressed in prostate tissue. KLK1 is mainly expressed in kidney, pancreas and salivary glands. In addition to PA eDNA, hGK-1 cDNAs were isolated and characterized. This allowed the comparison of PA and hGK-1 mRNA expression. Using hGK-1 and ?A-specific eDNA probes, androgen-stimulated mRNA expression of PA and hGK-1 could be determined (Chapter VI). Further, an androgen responsive element in the promoter region of the PA gene was defined and tested for its functional activity (Chapter Vl!). The homology of the PA, hGK-1 and KLK1 genes does not only include the open reading frame, but extends into the promoter regions, although the genes are at least partially expressed in different tissues and at different levels. The above mentioned aspects, resulted in the development of a model system for the study of tissue-specific and hormone-responsive gene expression in the human prostate

Factors that drive the increasing use of FFPE tissue in basic and translational cancer research

The decision to use 10% neutral buffered formalin fixed, paraffin embedded (FFPE) archival pathology material may be dictated by the cancer research question or analytical technique, or may be governed by national ethical, legal and social implications (ELSI), biobank, and sample availability and access policy. Biobanked samples of common tumors are likely to be available, but not all samples will be annotated with treatment and outcomes data and this may limit their application. Tumors that are rare or very small exist mostly in FFPE pathology archives. Pathology departments worldwide contain millions of FFPE archival samples, but there are challenges to availability. Pathology departments lack resources for retrieving materials for research or for having pathologists select precise areas in paraffin blocks, a critical quality control step. When samples must be sourced from several pathology departments, different fixation and tissue processing approaches create variability in quality. Researchers must de

Buccal swab as a reliable predictor for X inactivation ratio in inaccessible tissues

Background As a result of the epigenetic phenomenon of X chromosome inactivation (XCI) every woman is a mosaic of cells with either an inactive paternal X chromosome or an inactive maternal X chromosome. The ratio between inactive paternal and maternal X chromosomes is different for every female individual, and can influence an X-encoded trait or disease. A multitude of X linked conditions is known, and for many of them it is recognised that the phenotype in affected female carriers of the causative mutation is modulated by the XCI ratio. To predict disease severity an XCI ratio is usually determined in peripheral blood samples. However, the correlation between XCI ratios in peripheral blood and disease affected tissues, that are often inaccessible, is poorly understood. Here, we tested several tissues obtained from autopsies of 12 female individuals for patch size and XCI ratio. Methods XCI ratios were analysed using methylsensitive PCR-based assays for the AR, PCSK1N and SLITRK4 loci. XCI patch size was analysed by testing the XCI ratio of tissue samples with decreasing size. Results XCI patch size was analysed for liver, muscle, ovary and brain samples and was found too small to confound testing for XCI ratio in these tissues. XCI ratios were determined in the easily accessible tissues, blood, buccal epithelium and hair follicle, and compared with ratios in several inaccessible tissues. Conclusions Buccal epithelium is preferable over peripheral blood for predicting XCI ratios of inaccessible tissues. Ovary is the only inaccessible tissue showing a poor correlation to blood and buccal epithelium, but has a good correlation to hair follicle instead

Molecular cytogenetic evaluation of gastric cardia adenocarcinoma and precursor lesions

Analyses of cancer incidence data in the United States and Western Europe revealed steadily rising rates over the past decades of adenocarcinomas of the esophagus and gastric cardia. Genetic information on gastric cardia adenocarcinoma and its preneoplasias is sparse. We have used comparative genomic hybridization to obtain a genome-wide overview of 20 archival gastric cardia adenocarcinomas and 10 adjacent preneoplastic lesions (

Allelic imbalance of 7q32.3-q36.1 during tumorigenesis in Barrett's esophagus

Malignant transformation of Barrett's esophagus is characterized by three distinct premalignant stages: intestinal metaplasia (MET), low- (LGD), and high-grade dysplasia (HGD). We reported recently an increase in the frequency of loss of 7q33-q35 between LGD and HGD as determined by comparative genomic hybridization (P. H. J. Riegman et al., Cancer Res., 61: 3164-3170, 2001). Now the 7q32.3-q36.1 region was additionally characterized by allelotype analysis with 11 polymorphic markers in 15 METs, 20 LGDs, 20 HGDs, and 20 Barrett's adenocarcinomas from different patients. Low percentages of imbalance were determined in METs and LGDs, 7% and 10%, respectively, whereas HGDs and Barrett's adenocarcinomas revealed high percentages of loss, 75% and 65%, respectively. This difference in frequency between LGDs and HGDs appeared highly significant: P = 0.00007. The majority of imbalances were found at D7S2439 and D7S483, located on 7q36.1. These data suggest that markers from this area can be used as a diagnostic tool in Barrett's esophagus, i.e., to distinguish between watchful waiting and active treatment

Multicenter fresh frozen tissue sampling in colorectal cancer: does the quality meet the standards for state of the art biomarker research?

The growing interest in the molecular subclassification of colorectal cancers is increasingly facilitated by large multicenter biobanking initiatives. The quality of tissue sampling is pivotal for successful translational research. This study shows the quality of fresh frozen tissue sampling within a multicenter cohort study for colorectal cancer (CRC) patients. Each of the seven participating hospitals randomly contributed ten tissue samples, which were collected following Standard Operating Procedures (SOP) using established techniques. To indicate if the amount of intact RNA is sufficient for molecular discovery research and prove SOP compliance, the RNA integrity number (RIN) was determined. Samples with a RIN < 6 were measured a second time and when consistently low a third time. The highest RIN was used for further analysis. 91% of the tissue samples had a RIN ≥ 6 (91%). The remaining six samples had a RIN between 5 and 6 (4.5%) or lower than 5 (4.5%). The median overall RIN was 7.3 (range 2.9–9.0). The median RIN of samples in the university hospital homing the biobank was 7.7 and the median RIN for the teaching hospitals was 7.3, ranging from 6.5 to 7.8. No differences were found in the outcome of different hospitals (p = 0.39). This study shows that the collection of high quality fresh frozen samples of colorectal cancers is feasible in a multicenter design with complete SOP adherence. Thus, usin

Genomic alterations in malignant transformation of Barrett's esophagus

The incidence of adenocarcinoma in Barrett's esophagus has been increasing rapidly over the past decades. Neoplastic progression is characterized by three well-defined premalignant stages: metaplasia, low-grade dysplasia, and high-grade dysplasia. A genome-wide overview, based on comparative genomic hybridization, was performed, evaluating 30 Barrett's adenocarcinomas and 25 adjacent precursors, i.e., 6 metaplasias, 9 low-grade dysplasias, and 10 high-grade dysplasias. The frequency of losses and gains significantly increased in the subsequent stages of malignant transformation. Losses of 5q21-q23, 9p21, 17p12-13.1, 18q21, and Y were revealed in low-grade dysplasias. This was followed by loss of 7q33-q35 and gains of 7p12-p15, 7q21-q22, and 17q21 in high-grade dysplasias along with high-level amplification (HLA) of 7q21 and 17q21. In the invasive cancers, additional losses of 3p14-p21, 4p, 4q, 8p21, 13q14-q31, 14q24.3-q31, 16q21-q22, and 22q as well as gains of 3q25-q27, 8q23-24.1, 12p11.2-12, 15q22-q24, and 20q11.2-q13.1 were distinguished along with HLAs of 8p12-p22 and 20q11.2-q13.1. Approximately one-third of the alterations in the dysplasias were also found in the adjacent adenocarcinomas, illustrating that multiple clonal lineages can be present in Barrett's esophagus. Novel findings include loss on 7q, gain on 12p, and the observation of several HLAs in high-grade dysplasias. Furthermore, loss of 7q33-q35 was found to represent a significant distinction between low-grade and high-grade dysplasia (P = 0.01), whereas loss of 16q21-q22 and gain of 20q11.2-q13.1 were disclosed to significantly discriminate between high-grade dysplasia and adenocarcinoma (P = 0.02 and P = 0.03, respectively). This inventory of genetic aberrations increases our understanding of malignant transformation in Barrett's esophagus and might provide useful biomarkers for disease progression

Post-mortem tissue biopsies obtained at minimally invasive autopsy: An RNA-quality analysis

Introduction: Bereaved relatives often refuse to give consent for post-mortem investigation of deceased cancer patients, mainly because of the mutilation due to conventional au

Gene expression-based classification of non-small cell lung carcinomas and survival prediction

Background: Current clinical therapy of non-small cell lung cancer depends on histo-pathological classification. This approach poorly predicts clinical outcome for individual patients. Gene expression profiling holds promise to improve clinical stratification, thus paving the way for individualized therapy. Methodology and Principal Findings:A genome-wide gene expression analysis was performed on a cohort of 91 patients. We used 91 tumor- and 65 adjacent normal lung tissue samples. We defined sets of predictor genes (probe sets) with the expression profiles. The power of predictor genes was evaluated using an independent cohort of 96 non-small cell lung cancer- and 6 normal lung samples. We identified a tumor signature of 5 genes that aggregates the 156 tumor and normal samples into the expected groups. We also identified a histology signature of 75 genes, which classifies the samples in the major histological subtypes of non-small cell lung cancer. Correlation analysis identified 17 genes which showed the best association with post-surgery survival time. This signature was used for stratification of all patients in two risk groups. Kaplan-Meier survival curves show that the two groups display a significant difference in post-surgery survival time (p = 5.6E-6). The performance of the signatures was validated using a patient cohort of similar size (Duke University, n = 96). Compared to previously published prognostic signatures for NSCLC, the 17 gene signature performed well on these two cohorts. Conclusions:The gene signatures identified are promising tools for histo-pathological classification of non-small cell lung cancer, and may improve the prediction of clinical outcome