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Table 1 Top 10 KEGG pathways associated with 662 miRNA targets theoretically upregulated in AD brains

From: Molecular network analysis of human microRNA targetome: from cancers to Alzheimer’s disease

Rank Category Genes Bonferroni-Corrected p-Value FDR
1 hsa05200:Pathways in cancer ACVR1B, ACVR1C, AKT1, APC, BCL2, BCR, CASP3, CCND1, CCNE1, CCNE2, CDK6, CDKN1A, CDKN1B, CDKN2A, CEBPA, CTNNB1, CUL2, E2F1, E2F3, EGFR, EP300, EPAS1, ERBB2, ETS1, FGF13, FGF2, FGFR1, FH, FLT3, FOS, FOXO1, HGF, HIF1A, HRAS, IL6, ITGA2, ITGA2B, JUN, KRAS, LAMC1, MAP2K1, MAPK8, MAPK9, MET, MMP9, MTOR, MYC, PDGFA, PIAS1, PIK3CA, PML, PPARG, PRKCA, PTEN, PTGS2, RARA, RASSF1, RUNX1, RXRA, SHH, SMAD2, SMAD3, SMAD4, STAT1, STAT3, TGFB1, TGFBR1, TGFBR2, TP53, TPM3, VEGFA, WNT5A, XIAP 2.84E-21 2.20E-20
2 hsa05212:Pancreatic cancer ACVR1B, ACVR1C, AKT1, CCND1, CDK6, CDKN2A, E2F1, E2F3, EGFR, ERBB2, KRAS, MAP2K1, MAPK8, MAPK9, PIK3CA, SMAD2, SMAD3, SMAD4, STAT1, STAT3, TGFB1, TGFBR1, TGFBR2, TP53, VEGFA 3.06E-10 2.37E-09
3 hsa05210:Colorectal cancer ACVR1B, ACVR1C, AKT1, APC, BCL2, CASP3, CCND1, CTNNB1, EGFR, FOS, JUN, KRAS, MAP2K1, MAPK8, MAPK9, MET, MYC, PIK3CA, SMAD2, SMAD3, SMAD4, TGFB1, TGFBR1, TGFBR2, TP53 1.25E-08 9.70E-08
4 hsa05220:Chronic myeloid leukemia ACVR1B, ACVR1C, AKT1, BCR, CCND1, CDK6, CDKN1A, CDKN1B, CDKN2A, E2F1, E2F3, HRAS, KRAS, MAP2K1, MYC, PIK3CA, RUNX1, SMAD3, SMAD4, TGFB1, TGFBR1, TGFBR2, TP53 4.51E-08 3.50E-07
5 hsa05215:Prostate cancer AKT1, BCL2, CCND1, CCNE1, CCNE2, CDKN1A, CDKN1B, CREB1, CTNNB1, E2F1, E2F3, EGFR, EP300, ERBB2, FGFR1, FOCO1, HRAS, KRAS, MAP2K1, MTOR, PDGFA, PIK3CA, PTEN, TP53 2.83E-07 2.19E-06
6 hsa05219:Bladder cancer CCND1, CDKN1A, CDKN2A, E2F1, E2F3, EGFR, ERBB2, HRAS, KRAS, MAP2K1, MMP9, MYC, RASSF1, THBS1, TP53, VEGFA 1.66E-06 1.29E-05
7 hsa05218:Melanoma AKT1, CCND1, CDK6, CDKN1A, CDKN2A, E2F1, E2F3, EGFR, FGF13, FGF2, FGFR1, HGF, HRAS, KRAS, MAP2K1, MET, PDGFA, PIK3CA, PTEN, TP53 4.12E-06 3.19E-05
8 hsa04010:MAPK signaling pathway ACVR1B, ACVR1C, AKT1, ATF2, BDNF, CACNA1C, CACNA2D1, CACNB1, CASP3, DUSP1, DUSP16, EGFR, FGF13, FGF2, FGFR1, FOS, GADD45A, HRAS, HSPA1A, HSPA1B, JUN, KRAS, MAP2K1, MAP3K12, MAPK14, MAPK8, MAPK9, MAPKSP1, MEF2C, MYC, NLK, PDGFA, PPP3CA, PPP3R1, PPP5C, PRKCA, RASA1, STMN1, TGFB1, TGFBR1, TGFBR2, TP53 1.17E-05 9.03E-05
9 hsa04110:Cell cycle ATM, CCND1, CCND2, CCND3, CCNE1, CCNE2, CDC14A, CDC25A, CDK6, CDKN1A, CDKN1B, CDKN2A, CHEK1, E2F1, E2F3, EP300, GADD45A, MYC, PLK1, SMAD2, SMAD3, SMAD4, TGFB1, TP53, TTK, WEE1 1.51E-05 1.17E-04
10 hsa05214:Glioma AKT1, CAMK2G, CCND1, CDK6, CDKN1A, CDKN2A, E2F1, E2F3, EGFR, HRAS, KRAS, MAP2K1, MTOR, PDGFA, PIK3CA, PRKCA, PTEN, TP53 1.99E-05 1.54E-04
  1. By importing Entrez Gene IDs of 662 miRNA target genes theoretically upregulated in AD brains (GSE16759) into the Functional Annotation tool of DAVID, top 10 most relevant KEGG pathways were identified. They are listed with Category, Genes, Bonferroni-corrected p-value of the modified Fisher’s exact test, and false discovery rate (FDR).