2009
DOI: 10.1186/1755-8794-2-18
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PrognoScan: a new database for meta-analysis of the prognostic value of genes

Abstract: Background: In cancer research, the association between a gene and clinical outcome suggests the underlying etiology of the disease and consequently can motivate further studies. The recent availability of published cancer microarray datasets with clinical annotation provides the opportunity for linking gene expression to prognosis. However, the data are not easy to access and analyze without an effective analysis platform.

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Cited by 826 publications
(811 citation statements)
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References 59 publications
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“…Univariate and multivariate analyses were used to determine patient prognosis and were performed by Cox regression analysis with a backward stepwise model. Based on the levels of ZNF750 mRNA expression in the Kyushu and the TCGA datasets, patients were divided into two groups using the minimum P-value approach, a comprehensive method that determines the optimal risk separation cutoff point in continuous gene expression measurement (19). The cutoff values for high and low ZNF750 expression groups were 8.34 (ZNF750/GAPDH expression) in the Kyushu dataset and 2.75 (log2 expression) in the TCGA dataset.…”
Section: Cancer Cell Line Encyclopedia (Ccle) Data Analysismentioning
confidence: 99%
“…Univariate and multivariate analyses were used to determine patient prognosis and were performed by Cox regression analysis with a backward stepwise model. Based on the levels of ZNF750 mRNA expression in the Kyushu and the TCGA datasets, patients were divided into two groups using the minimum P-value approach, a comprehensive method that determines the optimal risk separation cutoff point in continuous gene expression measurement (19). The cutoff values for high and low ZNF750 expression groups were 8.34 (ZNF750/GAPDH expression) in the Kyushu dataset and 2.75 (log2 expression) in the TCGA dataset.…”
Section: Cancer Cell Line Encyclopedia (Ccle) Data Analysismentioning
confidence: 99%
“…A database named 'PrognoScan' has been developed (30). This is i) a large collection of publicly available cancer microarray datasets with clinical annotation, as well as ii) a tool for assessing the biological relationship between gene expression and prognosis.…”
Section: Identificationmentioning
confidence: 99%
“…A database named 'PrognoScan' has been developed (37). This is i) a large collection of publicly available cancer microarray datasets with clinical annotation, as well as ii) a tool for assessing the biological relationship between gene expression and prognosis.…”
Section: Meta-analysis Of the Prognostic Value Of Il28ra Gene In Cancermentioning
confidence: 99%