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. 2017 Sep 14;12(9):e0184094. doi: 10.1371/journal.pone.0184094

Table 2. Summary of miRNAs and their targets predicted from in silico analyses based on TCGA database.

MicroRNA Fold-changea Predicted target genes
hsa-miR-133a-3p 0.28 AMACR, BCL2, COL1A1, NKX3-1, SIM2
hsa-miR-133b 0.27 AMACR, BCL2, COL1A1, NKX3-1, SIM2
hsa-miR-143-3p 0.40 AMACR, BCL2, COL1A1, GOLM1, MPM11, NKX3-1, OR51E2, SIM2
hsa-miR-183-5p 4.35 AMACR, COL1A1, FOXA1, MPM11, NKX3-1, TRPM8
hsa-miR-200b-3bb - AMACR, BCL2, GOLM1, OR51E2, SIM2, TRPM
hsa-miR-200c-3p 3.33 AMACR, BCL2, FOXA1, GOLM1, OR51E2, SIM2, TRPM8
hsa-miR-205-5p 0.36 AMACR, BCL2, COL1A1, GOLM1, MPM11, NKX3-1, SIM2, TRPM8
hsa-miR-375 6.74 AMACR, BCL2, COL1A1, FOXA1, GOLM1, NKX3-1, SIM2, TRPM8

aFold-change based on The Cancer Genome Atlas (TCGA) data; tumor tissue versus normal tissue.

bmiRNA selected after investigation in the literature of the candidate miRNAs in prostate cancer