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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 ADM2 -1.48 0 1.72 0 mirMAP -0.17 0.01295 NA
2 hsa-miR-145-5p ALDH3A1 -1.48 0 1.6 0.0148 miRNAWalker2 validate -0.42 0.01262 NA
3 hsa-miR-145-5p ANGPT2 -1.48 0 1.15 0 MirTarget; miRNATAP -0.2 6.0E-5 24384875; 27570490 miR 145 functions as tumor suppressor and targets two oncogenes ANGPT2 and NEDD9 in renal cell carcinoma; We further validated those miR-145 targets two oncogenes ANGPT2 and NEDD9 in RCC;MiR 145 functions as a tumor suppressor via regulating angiopoietin 2 in pancreatic cancer cells; The direct action of miR-145 on Ang-2 was predicted by TargetScan and confirmed by luciferase report assay; The expression level of miR-145 was significantly lower and the expression levels of Ang-2 mRNA and protein was significantly higher in the more aggressive pancreatic cancer cells MiaPaCa-2 and Panc-1 when compared to that in BxPC3 cells; Overexpression of miR-145 in the BxPC3 MiaPaCa-2 and Panc-1 cells suppressed the cell invasion and colony formation ability and the expression level of Ang-2 protein in MiaPaCa-2 and Panc-1 cells was also suppressed after pre-miR-145 transfection; Intratumoral delivery of miR-145 inhibited the growth of pancreatic cancer xenografts and angiogenesis in vivo and also suppressed the expression level of angiopoietin-2 protein; MiR-145 functions as a tumor suppressor in pancreatic cancer cells by targeting Ang-2 for translation repression and thus suppresses pancreatic cancer cell invasion and growth which suggests that restoring of miR-145 may be a potential therapeutic target for pancreatic cancer
4 hsa-miR-145-3p ANKRD52 -1.14 0 1.46 0 mirMAP; miRNATAP -0.15 1.0E-5 NA
5 hsa-miR-145-5p ANKRD52 -1.48 0 1.46 0 miRNATAP -0.2 0 NA
6 hsa-miR-145-5p APH1A -1.48 0 0.33 1.0E-5 miRNAWalker2 validate -0.1 0 NA
7 hsa-miR-145-5p ATXN7L3 -1.48 0 0.7 0 miRNATAP -0.12 0 NA
8 hsa-miR-145-5p BNIP3 -1.48 0 -0.57 1.0E-5 miRNAWalker2 validate; miRTarBase -0.1 0.00184 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
9 hsa-miR-145-5p BRWD3 -1.48 0 0.1 0.5367 miRNATAP -0.11 0.00504 NA
10 hsa-miR-145-5p BSN -1.48 0 0.94 2.0E-5 miRNATAP -0.27 0 NA
11 hsa-miR-145-3p BTN2A2 -1.14 0 0.74 0 mirMAP -0.14 2.0E-5 NA
12 hsa-miR-145-3p CCDC117 -1.14 0 0.13 0.17161 MirTarget -0.1 5.0E-5 NA
13 hsa-miR-145-5p CDK4 -1.48 0 0.67 0 miRNAWalker2 validate; miRTarBase -0.15 0 21092188 Furthermore we found that CDK4 was regulated by miR-145 in cell cycle control
14 hsa-miR-145-3p CENPP -1.14 0 1.59 0 mirMAP -0.23 0 NA
15 hsa-miR-145-5p CEP78 -1.48 0 0.35 0.00104 mirMAP -0.11 8.0E-5 NA
16 hsa-miR-145-5p COMMD5 -1.48 0 0.84 0 MirTarget -0.16 0 NA
17 hsa-miR-145-5p COMMD9 -1.48 0 0.25 0.00305 MirTarget -0.1 0 NA
18 hsa-miR-145-3p COX11 -1.14 0 0.02 0.73917 MirTarget -0.11 0 NA
19 hsa-miR-145-5p DNAJB11 -1.48 0 0.85 0 miRNATAP -0.14 0 NA
20 hsa-miR-145-5p DNMT3B -1.48 0 1.62 0 MirTarget -0.23 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
21 hsa-miR-145-3p EFCAB2 -1.14 0 0.61 0 mirMAP -0.13 0.00013 NA
22 hsa-miR-145-5p EFNA3 -1.48 0 1.75 0 miRNATAP -0.28 0 NA
23 hsa-miR-145-5p ERF -1.48 0 0.14 0.14928 MirTarget; miRNATAP -0.11 0 NA
24 hsa-miR-145-5p ESCO2 -1.48 0 1.8 0 MirTarget -0.35 0 NA
25 hsa-miR-145-5p FAM104A -1.48 0 0.38 0 MirTarget -0.14 0 NA
26 hsa-miR-145-5p FAM134A -1.48 0 0.31 1.0E-5 MirTarget -0.11 0 NA
27 hsa-miR-145-5p FAM49B -1.48 0 0.71 0 MirTarget -0.11 0.0002 NA
28 hsa-miR-145-5p FLRT1 -1.48 0 1.05 0 MirTarget -0.17 0.0023 NA
29 hsa-miR-145-5p GATC -1.48 0 0.06 0.6266 MirTarget -0.12 0.00027 NA
30 hsa-miR-145-5p GGT7 -1.48 0 0.02 0.84677 MirTarget; miRNATAP -0.11 0.00019 NA
31 hsa-miR-145-3p GM2A -1.14 0 0.49 0 mirMAP -0.11 1.0E-5 NA
32 hsa-miR-145-3p GNL1 -1.14 0 0.37 2.0E-5 mirMAP -0.1 1.0E-5 NA
33 hsa-miR-145-5p GPD2 -1.48 0 0.4 0.00037 miRNATAP -0.1 0.00039 NA
34 hsa-miR-145-5p H2AFX -1.48 0 1.27 0 MirTarget; miRNATAP -0.25 0 NA
35 hsa-miR-145-5p HIC2 -1.48 0 0.94 0 miRNATAP -0.2 0 NA
36 hsa-miR-145-5p HLTF -1.48 0 0.44 0.00015 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
37 hsa-miR-145-5p IRS1 -1.48 0 -0.22 0.13754 miRNAWalker2 validate; miRTarBase; MirTarget -0.15 0.00011 22431718; 24690171; 24762580 Luciferase reporter assay further verified direct target association of miR-145 to specific sites of the IRS1 and IRS2 3'-untranslated regions;MicroRNA 145 suppresses hepatocellular carcinoma by targeting IRS1 and its downstream Akt signaling; We verified IRS1 as a direct target of miR-145 using Western blotting and luciferase reporter assay; Further the restoration of miR-145 in HCC cell lines suppressed cancer cell growth owing to down-regulated IRS1 expression and its downstream Akt/FOXO1 signaling; Our results demonstrated that miR-145 could inhibit HCC through targeting IRS1 and its downstream signaling implicating the loss of miR-145 regulation may be a potential molecular mechanism causing aberrant oncogenic signaling in HCC;IRS-1 was identified as a potential target of miR-145 by dual luciferase reporter assay; Knocking down of IRS-1 had similar effect as overexpression of miR-145 miR-145 might act as a tumor suppressor in uveal melanoma and downregulation of the target IRS-1 might be a potential mechanism
38 hsa-miR-145-3p KDM3A -1.14 0 0.26 0.00489 MirTarget -0.11 2.0E-5 NA
39 hsa-miR-145-3p LMNB2 -1.14 0 1.16 0 mirMAP -0.1 0.0055 NA
40 hsa-miR-145-5p MAGOHB -1.48 0 0.4 1.0E-5 MirTarget -0.11 0 NA
41 hsa-miR-145-5p MAP2K6 -1.48 0 0.14 0.55112 miRNAWalker2 validate -0.15 0.01692 NA
42 hsa-miR-145-5p MBNL3 -1.48 0 -0.6 0.01424 miRNATAP -0.19 0.00192 NA
43 hsa-miR-145-5p MMP1 -1.48 0 1.71 1.0E-5 miRNAWalker2 validate -0.21 0.03278 NA
44 hsa-miR-145-3p MRAP2 -1.14 0 2.88 0 MirTarget -0.46 4.0E-5 NA
45 hsa-miR-145-5p NEDD4L -1.48 0 0.86 0 miRNATAP -0.23 0 NA
46 hsa-miR-145-5p NRAS -1.48 0 0.3 0.00029 miRNAWalker2 validate; MirTarget; miRNATAP -0.12 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
47 hsa-miR-145-5p NUDT1 -1.48 0 1.55 0 miRTarBase -0.23 0 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
48 hsa-miR-145-3p ONECUT2 -1.14 0 0.12 0.55138 mirMAP -0.31 0 NA
49 hsa-miR-145-5p ONECUT2 -1.48 0 0.12 0.55138 mirMAP; miRNATAP -0.25 0 NA
50 hsa-miR-145-5p PAK4 -1.48 0 0.33 0.00055 miRNAWalker2 validate; miRTarBase -0.12 0 23499891 We further demonstrated that miR-145 directly targeted catenin δ-1 contributing to the aberrant translocation of β-catenin through impaired nuclear shuttling with p21-activated kinase 4 PAK4
51 hsa-miR-145-5p PAN2 -1.48 0 -0.12 0.24513 MirTarget; miRNATAP -0.12 1.0E-5 NA
52 hsa-miR-145-5p PAQR9 -1.48 0 0.14 0.51216 MirTarget -0.2 0.00016 NA
53 hsa-miR-145-3p PAX8 -1.14 0 1.01 0 miRNATAP -0.16 0.00659 NA
54 hsa-miR-145-3p PDZK1 -1.14 0 0.41 0.04131 MirTarget -0.29 0 NA
55 hsa-miR-145-5p PIGF -1.48 0 0.46 0 miRNAWalker2 validate; MirTarget -0.12 0 NA
56 hsa-miR-145-3p POU2F3 -1.14 0 0.35 0.28005 miRNATAP -0.2 0.02011 NA
57 hsa-miR-145-5p POU5F1 -1.48 0 1.71 0 miRNAWalker2 validate -0.28 7.0E-5 NA
58 hsa-miR-145-3p R3HDM1 -1.14 0 0.7 0 MirTarget; miRNATAP -0.11 0 NA
59 hsa-miR-145-3p RAB11FIP4 -1.14 0 1.54 0 mirMAP -0.13 0.01139 NA
60 hsa-miR-145-5p RAB11FIP4 -1.48 0 1.54 0 MirTarget -0.19 0.00015 NA
61 hsa-miR-145-5p RNF207 -1.48 0 0.83 0 MirTarget -0.14 3.0E-5 NA
62 hsa-miR-145-5p RNF216 -1.48 0 0.52 0 MirTarget; miRNATAP -0.12 0 NA
63 hsa-miR-145-5p RPS6KB1 -1.48 0 0.04 0.57907 MirTarget; miRNATAP -0.11 0 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
64 hsa-miR-145-3p S100A10 -1.14 0 1.06 0 miRNATAP -0.25 0 NA
65 hsa-miR-145-5p SCAMP3 -1.48 0 1.2 0 MirTarget; miRNATAP -0.18 0 NA
66 hsa-miR-145-3p SCD -1.14 0 -0.24 0.38799 mirMAP -0.22 0.00256 NA
67 hsa-miR-145-5p SLC1A4 -1.48 0 0.59 2.0E-5 MirTarget -0.22 0 NA
68 hsa-miR-145-3p SLC35E3 -1.14 0 0.25 0.01224 mirMAP -0.12 1.0E-5 NA
69 hsa-miR-145-5p SNX15 -1.48 0 0.57 0 miRNATAP -0.15 0 NA
70 hsa-miR-145-5p SNX27 -1.48 0 0.7 0 MirTarget; miRNATAP -0.12 0 NA
71 hsa-miR-145-5p SOCS7 -1.48 0 1.24 0 miRNAWalker2 validate -0.2 0 23392170 socs7 a target gene of microRNA 145 regulates interferon β induction through STAT3 nuclear translocation in bladder cancer cells; Then we focused on the suppressor of cytokine signaling 7 socs7 whose expression level was upregulated in bladder cancer cells compared with its level in normal human urothelial cells as a putative target gene involved in IFN-β induction by miR-145; Expectedly exogenous miR-145 decreased the expression level of SOCS7 and socs7-silencing enhanced IFN-β induction by transfection with a TLR3 ligand polyinosinic acid-polycytidylic acid PIC; The results of a luciferase reporter assay revealed that miR-145 targeted socs7; In conclusion the machinery of IFN-β induction through the regulation of SOCS7 by miR-145 was closely associated with the induction of apoptosis; Moreover exogenous miR-145 promoted IFN-β induction by targeting socs7 which resulted in the nuclear translocation of STAT3
72 hsa-miR-145-3p SOX12 -1.14 0 1.14 0 MirTarget; miRNATAP -0.22 0 NA
73 hsa-miR-145-5p SOX2 -1.48 0 0.96 0.01708 miRNAWalker2 validate; miRTarBase -0.23 0.02477 20382729; 21211035; 22098779; 25951106; 22835608 Finally we provide evidence that EWS-FLI-1 and miRNA-145 function in a mutually repressive feedback loop and identify their common target gene SOX2 in addition to miRNA145 itself as key players in ESFT cell differentiation and tumorigenicity;We also show that miR-145 and SOX2 form a double negative feedback loop in GBM cells potentially creating a bistable system in GBM cells;In this study our miRNA/mRNA-microarray and RT-PCR analysis showed that the expression of miR145 a tumor-suppressive miRNA is inversely correlated with the levels of Oct4 and Sox2 in GBM-CD133+ cells and malignant glioma specimens; We demonstrated that miR145 negatively regulates GBM tumorigenesis by targeting Oct4 and Sox2 in GBM-CD133+;Overexpression of miR 145 5p inhibits proliferation of prostate cancer cells and reduces SOX2 expression; We proposed that miR-145-5p being an important regulator of SOX2 carries a crucial role in PCa tumorigenesis;miR-145 regulates SOX2 and OCT4 translation and p53 regulates miR-145 expression
74 hsa-miR-145-5p SPATS2 -1.48 0 1.6 0 MirTarget -0.25 0 NA
75 hsa-miR-145-5p SRGAP2 -1.48 0 0.77 0 MirTarget -0.12 7.0E-5 NA
76 hsa-miR-145-3p TBC1D16 -1.14 0 1.1 0 mirMAP -0.15 4.0E-5 NA
77 hsa-miR-145-5p TBC1D16 -1.48 0 1.1 0 mirMAP -0.17 0 NA
78 hsa-miR-145-5p TPR -1.48 0 0.6 0 MirTarget -0.12 0 NA
79 hsa-miR-145-3p TUFT1 -1.14 0 0.91 0 MirTarget -0.11 0.00246 NA
80 hsa-miR-145-3p UNC119B -1.14 0 1.21 0 MirTarget -0.1 0.00876 NA
81 hsa-miR-145-5p UNC119B -1.48 0 1.21 0 MirTarget -0.14 0.0002 NA
82 hsa-miR-145-5p USP31 -1.48 0 0.39 0.00016 MirTarget; miRNATAP -0.1 7.0E-5 NA
83 hsa-miR-145-5p UXS1 -1.48 0 0.89 0 miRNATAP -0.13 0 NA
84 hsa-miR-145-5p VPS54 -1.48 0 0.35 6.0E-5 MirTarget; miRNATAP -0.13 0 NA
85 hsa-miR-145-5p ZBTB40 -1.48 0 1.05 0 mirMAP -0.14 0 NA
86 hsa-miR-145-5p ZC3H3 -1.48 0 1.06 0 MirTarget -0.21 0 NA
87 hsa-miR-145-5p ZDHHC9 -1.48 0 0.26 0.01039 MirTarget; miRNATAP -0.11 3.0E-5 NA
88 hsa-miR-145-3p ZNF445 -1.14 0 0.32 0.00026 mirMAP -0.12 0 NA
89 hsa-miR-145-3p ZNF687 -1.14 0 0.89 0 MirTarget; miRNATAP -0.14 1.0E-5 NA
90 hsa-miR-145-5p ZRANB3 -1.48 0 0.12 0.43505 MirTarget -0.1 0.01306 NA

Over-represented Gene Ontology Biological Process

NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value
1 Autophagy_animal_hsa04140 4 128 0.002172 0.0987
2 PI3K_Akt_signaling_pathway_hsa04151 6 352 0.00388 0.0987
3 ErbB_signaling_pathway_hsa04012 3 85 0.005694 0.0987
4 Rap1_signaling_pathway_hsa04015 4 206 0.01157 0.1392
5 AMPK_signaling_pathway_hsa04152 3 121 0.01489 0.1392
6 Ras_signaling_pathway_hsa04014 4 232 0.0172 0.1392
7 FoxO_signaling_pathway_hsa04068 3 132 0.01874 0.1392
8 Signaling_pathways_regulating_pluripotency_of_stem_cells_hsa04550 3 139 0.02145 0.1394
9 mTOR_signaling_pathway_hsa04150 3 151 0.02657 0.1477
10 Cellular_senescence_hsa04218 3 160 0.03081 0.1477
11 Mitophagy_animal_hsa04137 2 65 0.03124 0.1477
12 MAPK_signaling_pathway_hsa04010 4 295 0.03706 0.1606
13 HIF_1_signaling_pathway_hsa04066 2 100 0.06763 0.2705
14 Apelin_signaling_pathway_hsa04371 2 137 0.1153 0.4046
15 Apoptosis_hsa04210 2 138 0.1167 0.4046
16 Tight_junction_hsa04530 2 170 0.163 0.5298
17 Regulation_of_actin_cytoskeleton_hsa04810 2 208 0.2213 0.6089
18 Endocytosis_hsa04144 2 244 0.2779 0.6883

Quest ID: bca286cfe7ddda207766e257f9845ca6