19 research outputs found
Potential role of miR-9 and miR-223 in recurrent ovarian cancer
<p>Abstract</p> <p>Background</p> <p>MicroRNAs (miRNAs) are small, noncoding RNAs that negatively regulate gene expression by binding to target mRNAs. miRNAs have not been comprehensively studied in recurrent ovarian cancer, yet an incurable disease.</p> <p>Results</p> <p>Using real-time RT-PCR, we obtained distinct miRNA expression profiles between primary and recurrent serous papillary ovarian adenocarcinomas (n = 6) in a subset of samples previously used in a transcriptome approach. Expression levels of top dysregulated miRNA genes, miR-223 and miR-9, were examined using TaqMan PCR in independent cohorts of fresh frozen (n = 18) and FFPE serous ovarian tumours (n = 22). Concordance was observed on TaqMan analysis for miR-223 and miR-9 between the training cohort and the independent test cohorts. Target prediction analysis for the above miRNA "recurrent metastatic signature" identified genes previously validated in our transcriptome study. Common biological pathways well characterised in ovarian cancer were shared by miR-9 and miR-223 lists of predicted target genes. We provide strong evidence that miR-9 acts as a putative tumour suppressor gene in recurrent ovarian cancer. Components of the miRNA processing machinery, such as Dicer and Drosha are not responsible for miRNA deregulation in recurrent ovarian cancer, as deluded by TaqMan and immunohistochemistry.</p> <p>Conclusion</p> <p>We propose a miRNA model for the molecular pathogenesis of recurrent ovarian cancer. Some of the differentially deregulated miRNAs identified correlate with our previous transcriptome findings. Based on integrated transcriptome and miRNA analysis, miR-9 and miR-223 can be of potential importance as biomarkers in recurrent ovarian cancer.</p
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Discounted cash flow: accounting for uncertainty
Valuation is the process of estimating price. The methods used to determine value attempt to model the thought processes of the market and thus estimate price by reference to observed historic data. This information is utilised in the discounted cash flow (DCF) valuation model to determine the single point valuation figure. However, the valuation will be affected by uncertainties: uncertainty in the comparable data available; uncertainty in the current and future market conditions and uncertainty in the specific inputs for the subject property. These input uncertainties will translate into an uncertainty with the output figure, the estimate of price. This paper discusses ways in which uncertainty can be incorporated into the DCF model
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Constructing house price indices in an emerging market: the case of Kuwait
The estimation of reliable house price indices can be problematic in the context of small and emerging markets, often due to data availability issues. This paper considers a number of alternative approaches to constructing house price indices in the context of Kuwait. Kuwait is an interesting case in that while it has considerable wealth due to its oil reserves, it still shares many of the characteristics of an emerging economy, and in turn faces many of the same challenges with respect to housing data. The lack of individual property level data means that hedonic or repeat sales index construction methods are not viable, the paper therefore has to rely upon weighting and stratification methods. The alternative index estimations are compared by considering their accuracy in out-of-sample forecasts. The results highlight that despite the data limitations in place, largely consistent and accurate measures can still be produced
Cross-market dynamics in property stock markets: Some international evidence
10.1108/14635780510575094Journal of Property Investment and Finance23155-7