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Fig. 5 | Cancer Cell International

Fig. 5

From: In silico analysis of prognostic and diagnostic significance of target genes from prostate cancer cell lines derived exomicroRNAs

Fig. 5

ExomiRNAs-associated genes are useful for PCa prognosis. a Boxplot showing mRNAs gene expression of CDK6, TNRC6B, AGO1, AGO3, and TNRC6A in prostate tumour tissue samples of patients stratified according to ISUP-GG classification (Low Risk: ISUP I and II; High Risk: ISUP III, IV, and V) from TCGA-PRAD database. Boxplots show median, quartiles, and extreme values. *p < 0.05, **p < 0.01. b Boxplot showing deregulated-exomiRNAs in prostate tumour tissue samples of patients stratified according to ISUP-GG classification (Low Risk: ISUP I and II; High Risk: ISUP III, IV, and V) from the TCGA-PRAD database. Boxplots show median, quartiles, and extreme values. **p < 0.01. ****p < 0.0001. c Receiver operating characteristic (ROC) curve values showing the predictive efficiency for prostate cancer aggressiveness of selected genes compared to PSA. AUC, area under the curve; 95% CI (confidence interval). d Classification And Regression Decision Tree (CART) model for PCa diagnosis based on TNRC6B expression levels in PT-Tissue. e Classification And Regression Decision Tree (CART) model for PCa prognosis. The decision tree was built up with the following parameters: PSA levels in serum and the gene expression of CDK6, TNRC6B, and AGO1 PT-Tissue

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