Research Paper Volume 13, Issue 4 pp 6115—6133

Identification of miRNAs as diagnostic and prognostic markers in hepatocellular carcinoma

Identification of significantly dysregulated miRNAs in HCC. (A) Heatmaps of expression profiles of distinct miRNAs in three GEO DataSets (GSE6857, GSE22058 and GSE12264). (B) Venn diagram showing number of dysregulated miRNAs found via integrated analysis of the three datasets. (C) Expression of let-7b (45 cases; P=0.038), let-7c (43 cases; P=0.162) and let-7e (63 cases; P=0.016) in HCC tissues and matched normal tissues as shown by RT-qPCR. (D) ROCs of diagnostic value of the three miRNAs in HCC were computed based on GEO DataSet GSE12264. (E) The prognostic roles of the three miRNAs were evaluated via survival analyses based on KM Plotter datasets. Differences in survival rate were compared using a log-rank test.

Figure 1. Identification of significantly dysregulated miRNAs in HCC. (A) Heatmaps of expression profiles of distinct miRNAs in three GEO DataSets (GSE6857, GSE22058 and GSE12264). (B) Venn diagram showing number of dysregulated miRNAs found via integrated analysis of the three datasets. (C) Expression of let-7b (45 cases; P=0.038), let-7c (43 cases; P=0.162) and let-7e (63 cases; P=0.016) in HCC tissues and matched normal tissues as shown by RT-qPCR. (D) ROCs of diagnostic value of the three miRNAs in HCC were computed based on GEO DataSet GSE12264. (E) The prognostic roles of the three miRNAs were evaluated via survival analyses based on KM Plotter datasets. Differences in survival rate were compared using a log-rank test.