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This regulatory network was inferred from the input dataset. The miRNAs and mRNAs are presented as round and rectangle nodes respectively. The numerical value popped up upon mouse over the gene node is the log2 transformed fold-change of the gene expression between the two groups. All of the nodes are clickable, and the detailed information of the miRNAs/mRNAs and related cancer pathway will be displayed in another window. The edges between nodes are supported by both interactions (predicted or experimentally verified) and correlations learnt from cancer dataset. The numerical value popped up upon mouse over the edge is the correlation beat value (effect size) between the two nodes. The experimental evidences of the edges reported in previous cancer studies are highlighted by red/orange color. All of these information can be accessed by the "mouse-over" action. This network shows a full map of the miRNA-mRNA regulation of the input gene list(s), and the hub miRNAs (with the high network degree/betweenness centrality) would be the potential cancer drivers or tumor suppressors. The full result table can be accessed in the "Regulations" tab.

"miRNACancerMAP" is also a network visualization tool for users to draw their regulatory network by personal customization. Users can set the complexity of the network by limiting the number of nodes or edges. And the color of the nodes can be defined by different categories of the mRNAs and miRNAs, such as Gene-Ontology, pathway, and expression status. Users can also select to use network degree or network betweenness centrality to define the node size. And edges can be black or colored by the correlation. Purple edge means negative correlation (mostly found between miRNA and mRNA), and blue edge means positive correlation (found in PPI or miRNA-miRNA sponge effect). We can also add the protein-protein interactions (PPI) into the network. This result will show the cluster of genes regulated by some specific miRNAs. Additionally, miRNA-miRNA edges can be added by the "miRNA sponge" button, presenting some clusters of miRNAs that have the interactions via sponge effect.

miRNA-gene regulations

(Download full result)

Num microRNA           Gene miRNA log2FC miRNA pvalue Gene log2FC Gene pvalue Interaction Correlation beta Correlation P-value PMID Reported in cancer studies
1 hsa-miR-145-5p ABCE1 -0.54 0.27552 0.22 0.3851 MirTarget -0.11 0 NA
2 hsa-miR-145-5p ACVR1B -0.54 0.27552 0.49 0.03728 MirTarget; miRNATAP -0.11 0 NA
3 hsa-miR-145-5p ADI1 -0.54 0.27552 0 0.99386 MirTarget -0.12 0 NA
4 hsa-miR-145-5p ADM2 -0.54 0.27552 0.18 0.37664 mirMAP -0.38 0 NA
5 hsa-miR-145-5p AIFM1 -0.54 0.27552 0.14 0.58326 miRNATAP -0.17 0 20332243 Artificial overexpression of miR145 by using adenoviral vectors in prostate cancer PC-3 and DU145 cells significantly downregulated BNIP3 together with the upregulation of AIF reduced cell growth and increased cell death
6 hsa-miR-145-5p AKIRIN1 -0.54 0.27552 0.54 0.02828 miRNATAP -0.13 0 NA
7 hsa-miR-145-5p AKR1B10 -0.54 0.27552 -0.04 0.91097 miRNAWalker2 validate -0.31 0.00423 NA
8 hsa-miR-145-5p APH1A -0.54 0.27552 0.3 0.3297 miRNAWalker2 validate -0.15 0 NA
9 hsa-miR-145-5p ARPC5 -0.54 0.27552 0.14 0.63233 MirTarget -0.1 0 NA
10 hsa-miR-145-5p BNIP3 -0.54 0.27552 -0.26 0.30088 miRNAWalker2 validate; miRTarBase -0.23 0 20332243 Artificial overexpression of miR145 by using adenoviral vectors in prostate cancer PC-3 and DU145 cells significantly downregulated BNIP3 together with the upregulation of AIF reduced cell growth and increased cell death; Analysis of prostate cancer n = 134 and benign prostate n = 83 tissue sample showed significantly decreased miR145 and increased BNIP3 expression in prostate cancer P < 0.001 particularly in those with tumor progression and both molecular changes were associated with unfavorable outcome
11 hsa-miR-145-5p C1QL4 -0.54 0.27552 1.17 0.00011 miRNATAP -0.35 4.0E-5 NA
12 hsa-miR-145-5p CD47 -0.54 0.27552 1.25 2.0E-5 miRNATAP -0.14 3.0E-5 NA
13 hsa-miR-145-5p CDR2L -0.54 0.27552 1 5.0E-5 MirTarget; miRNATAP -0.11 0.00054 NA
14 hsa-miR-145-5p CHAC2 -0.54 0.27552 0.22 0.07982 MirTarget -0.27 0 NA
15 hsa-miR-145-5p CLDN9 -0.54 0.27552 2.66 0 MirTarget -0.43 0 NA
16 hsa-miR-145-5p COMMD5 -0.54 0.27552 -0.04 0.84128 MirTarget -0.12 0 NA
17 hsa-miR-145-5p COX16 -0.54 0.27552 -0.1 0.67243 MirTarget -0.11 0 NA
18 hsa-miR-145-5p CSTF3 -0.54 0.27552 -0.01 0.96564 MirTarget -0.13 0 NA
19 hsa-miR-145-5p DLX6 -0.54 0.27552 -1.09 0.0001 miRNATAP -0.21 0.0075 NA
20 hsa-miR-145-5p DNAJB11 -0.54 0.27552 0.52 0.04245 miRNATAP -0.21 0 NA
21 hsa-miR-145-5p DNMT3B -0.54 0.27552 0.76 0 MirTarget -0.31 0 24071015; 25749421 In univariate analysis the combination of DNMT3B overexpression and miR-145 or miR-143 down-regulation was more powerful in predicting shorter survival P < .05 than use of the biomarkers individually P > .05; DNMT3B might be a potential target of miR-145 and miR-143 in ECs; Furthermore the combined miR-145 or miR-143 and DNMT3B status may have a prognostic impact on ECs;It was found that miR-145 upregulates while DNMT3b downregulates in PC3 cells; Responses of the miR-145 and DNMT3b to irradiation are a negative correlation; We also found that either overexpression of miR-145 or knockdown of DNMT3b sensitized prostate cancer cells to X-ray radiation
22 hsa-miR-145-5p DTD1 -0.54 0.27552 0.23 0.26537 miRNAWalker2 validate -0.1 0 NA
23 hsa-miR-145-5p E2F3 -0.54 0.27552 0.51 0.00503 miRNATAP -0.2 0 25762621 miR 145 mediates the antiproliferative and gene regulatory effects of vitamin D3 by directly targeting E2F3 in gastric cancer cells; Furthermore miR-145 expression was lower in tumors compared with matched normal samples and correlated with increased the E2F3 transcription factor protein staining
24 hsa-miR-145-5p EFNA3 -0.54 0.27552 0.3 0.0717 miRNATAP -0.25 0 NA
25 hsa-miR-145-5p ELFN2 -0.54 0.27552 2.05 0 mirMAP -0.25 0.00269 NA
26 hsa-miR-145-5p ELK4 -0.54 0.27552 0.1 0.4221 miRNATAP -0.12 0 NA
27 hsa-miR-145-5p ENC1 -0.54 0.27552 -0.36 0.15809 MirTarget -0.15 0.00034 NA
28 hsa-miR-145-5p ESCO2 -0.54 0.27552 -0.22 0.21296 MirTarget -0.46 0 NA
29 hsa-miR-145-5p F11R -0.54 0.27552 -0.13 0.66813 miRNAWalker2 validate -0.18 0 20818426; 26374689 Our data identify JAM-A and fascin as novel targets of miR-145 firmly establishing a role for miR-145 in modulating breast cancer cell motility;MicroRNA screening predicted that microRNA-145 miR-145 would bind to JAM-A; Using patient-derived glioblastoma CSCs we confirmed that JAM-A is suppressed by miR-145
30 hsa-miR-145-5p FAM110C -0.54 0.27552 -0.29 0.18407 MirTarget -0.12 0.04892 NA
31 hsa-miR-145-5p FAM49B -0.54 0.27552 0.71 0.00116 MirTarget -0.25 0 NA
32 hsa-miR-145-5p FOXD4 -0.54 0.27552 -0.19 0.20451 MirTarget -0.13 0.00138 NA
33 hsa-miR-145-5p FOXD4L1 -0.54 0.27552 -0.09 0.53984 MirTarget -0.12 0.00306 NA
34 hsa-miR-145-5p GATC -0.54 0.27552 0.03 0.82617 MirTarget -0.1 0.00218 NA
35 hsa-miR-145-5p GGT7 -0.54 0.27552 0.48 0.0266 MirTarget; miRNATAP -0.11 0.00059 NA
36 hsa-miR-145-5p GMFB -0.54 0.27552 0.25 0.28294 miRNAWalker2 validate -0.12 0 NA
37 hsa-miR-145-5p GTPBP8 -0.54 0.27552 0.4 0.00473 MirTarget -0.13 0 NA
38 hsa-miR-145-5p H2AFX -0.54 0.27552 0 0.99213 MirTarget; miRNATAP -0.17 0 NA
39 hsa-miR-145-5p HDAC2 -0.54 0.27552 0.25 0.38192 miRNAWalker2 validate -0.13 0 23499894 MiR 145 functions as a tumor suppressor by directly targeting histone deacetylase 2 in liver cancer; Ectopic expression of miRNA mimics evidenced that miR-145 suppresses HDAC2 expression in HCC cells; In conclusion we suggest that loss or suppression of miR-145 may cause aberrant overexpression of HDAC2 and promote HCC tumorigenesis
40 hsa-miR-145-5p HLTF -0.54 0.27552 0.36 0.13416 miRNAWalker2 validate -0.13 1.0E-5 25666710 We show that miR-145 targets the DNA damage repair-associated gene Helicase-like transcription factor HLTF which is involved in radio-resistance
41 hsa-miR-145-5p HN1L -0.54 0.27552 -0.33 0.26313 mirMAP -0.12 0 NA
42 hsa-miR-145-5p ITGB8 -0.54 0.27552 0.99 0.00034 miRNAWalker2 validate; miRTarBase; MirTarget -0.16 0.00015 NA
43 hsa-miR-145-5p IVNS1ABP -0.54 0.27552 -0.05 0.85528 MirTarget; miRNATAP -0.13 0 NA
44 hsa-miR-145-5p KLF5 -0.54 0.27552 0.31 0.23403 miRTarBase; miRNATAP -0.11 0.00707 NA
45 hsa-miR-145-5p KRT7 -0.54 0.27552 1.94 0 miRNAWalker2 validate -0.37 1.0E-5 NA
46 hsa-miR-145-5p KSR2 -0.54 0.27552 0.61 0.00098 mirMAP -0.21 3.0E-5 NA
47 hsa-miR-145-5p LLPH -0.54 0.27552 0.13 0.51775 MirTarget -0.11 0 NA
48 hsa-miR-145-5p LRRC8B -0.54 0.27552 -0 0.98221 miRNATAP -0.14 0 NA
49 hsa-miR-145-5p LYPLA2 -0.54 0.27552 0.15 0.56458 miRNAWalker2 validate -0.13 0 NA
50 hsa-miR-145-5p MAGOHB -0.54 0.27552 0.12 0.48811 MirTarget -0.13 0 NA
51 hsa-miR-145-5p MAP2K6 -0.54 0.27552 -1.2 0 miRNAWalker2 validate -0.15 0.00341 NA
52 hsa-miR-145-5p MEST -0.54 0.27552 0.66 0.01213 miRNAWalker2 validate; MirTarget; miRNATAP -0.27 0 NA
53 hsa-miR-145-5p MGAT4A -0.54 0.27552 1.19 0 mirMAP -0.19 0 NA
54 hsa-miR-145-5p MMP1 -0.54 0.27552 0.84 0.00436 miRNAWalker2 validate -0.42 0 NA
55 hsa-miR-145-5p MMP12 -0.54 0.27552 -0.01 0.98481 miRNAWalker2 validate -0.48 0 NA
56 hsa-miR-145-5p MUC1 -0.54 0.27552 0.4 0.26653 miRNAWalker2 validate; miRTarBase -0.23 0.00016 24157791 MiR 145 is downregulated in human ovarian cancer and modulates cell growth and invasion by targeting p70S6K1 and MUC1; MiR-145 is found to negatively regulate P70S6K1 and MUC1 protein levels by directly targeting their 3'UTRs; Importantly the overexpression of p70S6K1 and MUC1 can restore the cell colony formation and invasion abilities that are reduced by miR-145 respectively; Our study suggests that miR-145 modulates ovarian cancer growth and invasion by suppressing p70S6K1 and MUC1 functioning as a tumor suppressor
57 hsa-miR-145-5p MYO6 -0.54 0.27552 -0.03 0.89909 miRNAWalker2 validate; miRTarBase; MirTarget; miRNATAP -0.13 1.0E-5 20353999 A computational search indicated the 3'-untranslated region UTR of the mRNA for myosin VI MYO6 as a potential target for both miR-143 and miR-145 the expression of which was reduced in the tumor tissues; In luciferase reporter analysis we find a significant negative regulatory effect on the MYO6 3'UTR by both miR-143 and miR-145; Mutation of the potential binding sites for miR-143 and miR-145 in the MYO6 3'UTR resulted in a loss of responsiveness to the corresponding miRNA; Our data indicate that miR-143 and miR-145 are involved in the regulation of MYO6 expression and possibly in the development of prostate cancer
58 hsa-miR-145-5p NAA15 -0.54 0.27552 0.14 0.53335 miRNATAP -0.11 0 NA
59 hsa-miR-145-5p NAA50 -0.54 0.27552 0.33 0.22795 MirTarget; miRNATAP -0.16 0 NA
60 hsa-miR-145-5p NDUFA4 -0.54 0.27552 0.1 0.74299 miRNAWalker2 validate -0.11 0 NA
61 hsa-miR-145-5p NIPSNAP1 -0.54 0.27552 0.38 0.14097 miRNAWalker2 validate -0.14 0 NA
62 hsa-miR-145-5p NRAS -0.54 0.27552 0.46 0.05093 miRNAWalker2 validate; MirTarget; miRNATAP -0.18 0 26973415 miR-145 expression was significantly downregulated in colon cancer tissues with its expression in normal colonic tissues being 4-5-fold higher two sample t test P < 0.05 whereas N-ras expression showed the opposite trend
63 hsa-miR-145-5p NRCAM -0.54 0.27552 0.1 0.72382 MirTarget -0.16 0.01969 NA
64 hsa-miR-145-5p NSUN4 -0.54 0.27552 0.13 0.51843 MirTarget -0.11 0 NA
65 hsa-miR-145-5p NUAK2 -0.54 0.27552 1.06 0 MirTarget -0.23 0 NA
66 hsa-miR-145-5p NUDT1 -0.54 0.27552 0.17 0.33344 miRTarBase -0.13 2.0E-5 21289483 MiR 145 inhibits cell proliferation of human lung adenocarcinoma by targeting EGFR and NUDT1; The mRNA expressions of EGFR and NUDT1 were significantly downregulated after miR-145 transfection in human lung adenocarcinoma cells; Our results demonstrated miR-145 in the negative regulation of EGFR and NUDT1 expressions at both mRNA and protein levels; Upregulation of miR-145 appeared to be an important gene regulation mechanism for the proliferation of lung adenocarcinoma cells and it correlated strongly with the downregulation of EGFR and NUDT1; Our findings provided new insight into the complex regulating pathway comprising of miR-145 EGFR NUDT1 and other unknown factors which function in cell proliferation but not in apoptosis
67 hsa-miR-145-5p ONECUT2 -0.54 0.27552 0.73 0.00177 mirMAP; miRNATAP -0.33 0 NA
68 hsa-miR-145-5p PIGF -0.54 0.27552 -0.01 0.95306 miRNAWalker2 validate; MirTarget -0.12 0 NA
69 hsa-miR-145-5p PLAGL2 -0.54 0.27552 0.64 0.00673 MirTarget; miRNATAP -0.15 0 NA
70 hsa-miR-145-5p PTP4A2 -0.54 0.27552 0.38 0.15419 miRNAWalker2 validate; MirTarget; miRNATAP -0.12 0 NA
71 hsa-miR-145-5p RAB11FIP4 -0.54 0.27552 0.75 0.00176 MirTarget -0.32 0 NA
72 hsa-miR-145-5p RTKN -0.54 0.27552 0.15 0.49735 miRNAWalker2 validate; MirTarget; miRNATAP -0.16 0 19360360 miR 145 inhibits breast cancer cell growth through RTKN; Subsequently RTKN is identified as a potential miR-145 target by bioinformatics; Using reporter constructs we show that the RTKN 3' untranslated region 3'UTR carries the directly binding site of miR-145; Additionally overexpression of miR-145 in MCF-7 reduces RTKN protein expression as well as mRNA level; Taken together we propose that loss of miR-145 may provide a selective growth advantage for MCF-7 by targeting RTKN
73 hsa-miR-145-5p SAMD12 -0.54 0.27552 0.7 0.00256 miRNATAP -0.11 0.02478 NA
74 hsa-miR-145-5p SCAMP3 -0.54 0.27552 0.06 0.8064 MirTarget; miRNATAP -0.15 0 NA
75 hsa-miR-145-5p SEL1L3 -0.54 0.27552 -0.73 0.00407 miRNATAP -0.16 1.0E-5 NA
76 hsa-miR-145-5p SHISA9 -0.54 0.27552 0.42 0.17623 MirTarget -0.43 0 NA
77 hsa-miR-145-5p SLC19A1 -0.54 0.27552 -0.2 0.25408 mirMAP -0.16 0 NA
78 hsa-miR-145-5p SORT1 -0.54 0.27552 -0.06 0.84493 mirMAP -0.11 0 NA
79 hsa-miR-145-5p SPATS2 -0.54 0.27552 -0.54 0.01372 MirTarget -0.11 0 NA
80 hsa-miR-145-5p STAT1 -0.54 0.27552 1.06 0.00069 miRNAWalker2 validate; miRTarBase -0.22 0 20098684 MicroRNA 145 targets YES and STAT1 in colon cancer cells; Both YES and STAT1 were verified as direct miR-145 targets
81 hsa-miR-145-5p SYAP1 -0.54 0.27552 -0.22 0.35569 mirMAP -0.14 0 NA
82 hsa-miR-145-5p TARS2 -0.54 0.27552 0.31 0.12358 MirTarget -0.2 0 NA
83 hsa-miR-145-5p TFCP2L1 -0.54 0.27552 -0.11 0.6529 mirMAP -0.32 0 NA
84 hsa-miR-145-5p TMEM139 -0.54 0.27552 0.49 0.02931 MirTarget -0.19 6.0E-5 NA
85 hsa-miR-145-5p TPM3 -0.54 0.27552 0.04 0.90658 miRNAWalker2 validate -0.17 0 NA
86 hsa-miR-145-5p TXNDC9 -0.54 0.27552 0.45 0.02022 MirTarget -0.15 0 NA
87 hsa-miR-145-5p UNC13A -0.54 0.27552 1.23 0 mirMAP -0.18 0.00559 NA
88 hsa-miR-145-5p VAX1 -0.54 0.27552 -0.6 0.10712 mirMAP -0.21 0.02161 NA
89 hsa-miR-145-5p VEGFA -0.54 0.27552 0.32 0.27688 miRNAWalker2 validate; miRTarBase -0.16 0 24781864; 24966896; 22472569 Overexpression of miR-145 in thyroid cancer cell lines resulted in: decreased cell proliferation migration invasion VEGF secretion and E-cadherin expression; In vivo miR-145 overexpression decreased tumor growth and metastasis in a xenograft mouse model and VEGF secretion;The ectopic expression of miR-1 and miR-145 in NOZ cells significantly inhibited cell viability and colony formation P<0.01 and reduced gene expression of VEGF-A and AXL;Furthermore the results showed that vascular endothelial growth factor VEGF expression was down-regulated in osteosarcoma cells after miR-145 transfection; On the basis of these results we performed the luciferase assay and verified that miR-145 could down-regulate VEGF at the translational level by partially binding to VEGF 3' untranslated region 3'UTR; One of the mechanisms is the down-regulation of VEGF expression by miR-145 by binding to the 3'UTR of VEGF mRNA specifically
90 hsa-miR-145-5p ZBTB33 -0.54 0.27552 0.28 0.17068 MirTarget -0.1 0 NA
91 hsa-miR-145-5p ZDHHC9 -0.54 0.27552 -0.32 0.17619 MirTarget; miRNATAP -0.11 1.0E-5 NA
92 hsa-miR-145-5p ZNF593 -0.54 0.27552 -0.06 0.78738 MirTarget -0.12 2.0E-5 NA
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value
1 Cell_adhesion_molecules_.CAMs._hsa04514 4 145 0.004522 0.2312
2 MAPK_signaling_pathway_hsa04010 5 295 0.0117 0.2312
3 Rap1_signaling_pathway_hsa04015 4 206 0.01511 0.2312
4 Notch_signaling_pathway_hsa04330 2 48 0.02058 0.2312
5 Ras_signaling_pathway_hsa04014 4 232 0.0223 0.2312
6 VEGF_signaling_pathway_hsa04370 2 59 0.03023 0.2312
7 Mitophagy_animal_hsa04137 2 65 0.0361 0.2312
8 Cellular_senescence_hsa04218 3 160 0.03763 0.2312
9 Necroptosis_hsa04217 3 164 0.04002 0.2312
10 ECM_receptor_interaction_hsa04512 2 82 0.05484 0.2852
11 Regulation_of_actin_cytoskeleton_hsa04810 3 208 0.07114 0.3363
12 PI3K_Akt_signaling_pathway_hsa04151 4 352 0.07931 0.3437
13 Cell_cycle_hsa04110 2 124 0.1115 0.4109
14 Autophagy_animal_hsa04140 2 128 0.1175 0.4109
15 FoxO_signaling_pathway_hsa04068 2 132 0.1235 0.4109
16 Apoptosis_hsa04210 2 138 0.1328 0.4109
17 Signaling_pathways_regulating_pluripotency_of_stem_cells_hsa04550 2 139 0.1343 0.4109
18 Tight_junction_hsa04530 2 170 0.1842 0.5322
19 Focal_adhesion_hsa04510 2 199 0.2329 0.6375
20 Endocytosis_hsa04144 2 244 0.3095 0.7554
21 Cytokine_cytokine_receptor_interaction_hsa04060 2 270 0.3533 0.7654

Quest ID: 7182c82340d00c25aeef83a6cf6981ee