Fig. 2
From: Targeting the MALAT1 gene with the CRISPR/Cas9 technique in prostate cancer
The ability of two lncRNAs based on the signature to predict prognosis for PC patients from the TCGA database. A Patients’ risk scores are distributed. B The average length of time for a PC patient to survive. C A heatmap of the expression levels of the 2 lncRNAs used in the prognostic model. The ideal threshold for dividing patients into high- and low-risk groups are represented by the vertical black dotted line. The model’s prognostic predictive power in patients with PC. D Patient risk score distribution. E PC patients’ survival time. F Heatmaps of the prognostic model of two lncRNAs. The appropriate threshold for categorizing instances into high- and low-risk categories is represented by the vertical dotted black line