The PrognoScan database (http://dna00.bio.kyutech.ac.jp/PrognoScan/index.html), a tool for assessing the biological relationship between gene expression and prognosis, is a large collection of publicly available cancer microarray datasets with clinical annotation. PrognoScan employs the minimum P-value approach for grouping patients for survival analysis that finds the optimal cutpoint in continuous gene expression measurement without prior biological knowledge or assumption and, as a result, enables systematic meta-analysis of multiple datasets. We also used this database to assess the relationship between CISD2 expression and patient outcome in databases other than TCGA.
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