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. 2018 Nov 1;54(1):53–64. doi: 10.3892/ijo.2018.4616

Table I.

Prediction of miRNA candidates by in silico gene ontology analysis.

miRNA Confidence Gene Key pathways
132-3p High SMAD2 TGFβ, EMT
132-3p High SMAD5 TGFβ, EMT
132-3p High GSK3β TGFβ, Wnt, EMT
132-3pa Moderatea TGF-β2a TGFβ, EMTa
132-3p High KRAS PDA, EMT
132-3p High MAPK1 MAPK, EMT
132-3p High FOXO3 GCs
1275 Moderate SMAD3 SMAD, EMT
1275 Moderate SMAD9 SMAD, EMT
210 High INHBB TGFβ, EMT
210 High ACVR1B Wnt, EMT
210 Moderate SOX15 Wnt, EMT
1246 High GSK3β TGFβ, Wnt, EMT
1246 High CDH2 Cell-cell junctions
1246 High AXIN2 Wnt, EMT
1260b High Bcl2 Apoptosis
1260b High Akt2 MAPK, PI3K
378i High BMP2 TGFβ, EMT
378i High MAPK1/9 MAPKs
99a-5p High BMPR2 Wnt, TGFβ
a

Top candidate. The keywords ‘glucocorticoids’, ‘epithelial-mesen-chymal-transition’, ‘apoptosis’, ‘Wnt’ and ‘Smad’ were used for in silico prediction analysis. A confidence of ‘high’ or ‘moderate’ was assigned based on the level of evidence provided by miRNAseq experiments, as described by the online database miRBase.