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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-146a-5p ADCY1 -1.12 0.05777 -0.03 0.96543 mirMAP -0.39 8.0E-5 NA
2 hsa-miR-146a-5p CBX5 -1.12 0.05777 -0.19 0.43077 mirMAP -0.11 0.00031 NA
3 hsa-miR-146a-5p CDON -1.12 0.05777 -0.13 0.81496 mirMAP -0.17 0.01139 NA
4 hsa-miR-146a-5p CDS2 -1.12 0.05777 -0.08 0.71807 mirMAP -0.1 0.00019 NA
5 hsa-miR-146a-5p CECR6 -1.12 0.05777 -0.7 0.21209 mirMAP -0.19 0.0055 NA
6 hsa-miR-146a-5p CUEDC1 -1.12 0.05777 0.25 0.34421 mirMAP -0.12 0.00022 NA
7 hsa-miR-146a-5p CXXC4 -1.12 0.05777 0.44 0.59138 MirTarget -0.34 0.00086 NA
8 hsa-miR-146a-5p CYB5D1 -1.12 0.05777 0.08 0.79303 mirMAP -0.22 0 NA
9 hsa-miR-146a-5p DTNA -1.12 0.05777 -1.15 0.08809 MirTarget -0.3 0.00028 NA
10 hsa-miR-146a-5p FOXK1 -1.12 0.05777 -0.08 0.78218 mirMAP -0.13 0.00026 NA
11 hsa-miR-146a-5p FOXP2 -1.12 0.05777 0.26 0.75107 mirMAP -0.31 0.00274 NA
12 hsa-miR-146a-5p FZD3 -1.12 0.05777 -0.28 0.48833 MirTarget -0.2 6.0E-5 NA
13 hsa-miR-146a-5p GNAO1 -1.12 0.05777 0.31 0.66625 mirMAP -0.35 8.0E-5 NA
14 hsa-miR-146a-5p GRIA3 -1.12 0.05777 0.4 0.66415 MirTarget -0.38 0.00076 NA
15 hsa-miR-146a-5p GRSF1 -1.12 0.05777 0.37 0.06369 MirTarget; mirMAP -0.13 0 NA
16 hsa-miR-146a-5p KCNB1 -1.12 0.05777 -0.26 0.80086 mirMAP -0.41 0.00161 NA
17 hsa-miR-146a-5p KIAA1958 -1.12 0.05777 0.34 0.45736 mirMAP -0.23 3.0E-5 NA
18 hsa-miR-146a-5p LONRF2 -1.12 0.05777 0.28 0.70025 mirMAP -0.23 0.01105 NA
19 hsa-miR-146a-5p MTUS2 -1.12 0.05777 0.29 0.77247 miRNAWalker2 validate -0.52 3.0E-5 NA
20 hsa-miR-146a-5p MXRA7 -1.12 0.05777 -0.39 0.27304 mirMAP -0.18 4.0E-5 NA
21 hsa-miR-146a-5p NECAB1 -1.12 0.05777 -0.1 0.85106 MirTarget -0.23 0.00102 NA
22 hsa-miR-146a-5p NEDD4L -1.12 0.05777 0.06 0.87644 mirMAP -0.11 0.01807 NA
23 hsa-miR-146a-5p NFASC -1.12 0.05777 -0.41 0.55714 mirMAP -0.29 0.00095 23706078; 23027628; 18504431 Celastrol induces apoptosis of gastric cancer cells by miR 146a inhibition of NF κB activity;53BP1 functions as a tumor suppressor in breast cancer via the inhibition of NF κB through miR 146a;Expression of microRNA 146 suppresses NF kappaB activity with reduction of metastatic potential in breast cancer cells
24 hsa-miR-146a-5p PAIP2B -1.12 0.05777 -0.12 0.86529 mirMAP -0.3 0.00089 NA
25 hsa-miR-146a-5p PALM2 -1.12 0.05777 0.42 0.36711 mirMAP -0.23 5.0E-5 NA
26 hsa-miR-146a-5p PLXNA2 -1.12 0.05777 1.58 2.0E-5 mirMAP -0.14 0.00298 NA
27 hsa-miR-146a-5p POLR3H -1.12 0.05777 -0.03 0.90578 miRNATAP -0.12 4.0E-5 NA
28 hsa-miR-146a-5p PRLR -1.12 0.05777 1.14 0.17196 mirMAP -0.51 0 NA
29 hsa-miR-146a-5p RAB3B -1.12 0.05777 2.29 0.00176 mirMAP -0.28 0.00206 NA
30 hsa-miR-146a-5p RGP1 -1.12 0.05777 0.12 0.79841 mirMAP -0.14 0.01526 NA
31 hsa-miR-146a-5p RHOBTB3 -1.12 0.05777 -0.12 0.81971 MirTarget -0.15 0.01636 NA
32 hsa-miR-146a-5p RIMS2 -1.12 0.05777 0.87 0.43628 mirMAP -0.58 2.0E-5 NA
33 hsa-miR-146a-5p RND2 -1.12 0.05777 0.3 0.63691 mirMAP -0.39 0 NA
34 hsa-miR-146a-5p SCN3B -1.12 0.05777 -0.02 0.98374 MirTarget -0.41 5.0E-5 NA
35 hsa-miR-146a-5p SLC25A27 -1.12 0.05777 -0.44 0.48871 MirTarget -0.17 0.03399 NA
36 hsa-miR-146a-5p SLC2A13 -1.12 0.05777 0.31 0.52341 mirMAP -0.25 2.0E-5 NA
37 hsa-miR-146a-5p SMAD4 -1.12 0.05777 -0.5 0.1224 miRNAWalker2 validate; miRTarBase -0.12 0.00362 21982769; 27438138; 22020746 The results indicated that miR-146a regulated the sensitivity of HCC cells to the cytotoxic effects of IFN-α through SMAD4 suggesting that this miRNA could be suitable for prediction of the clinical response and potential therapeutic target in HCC patients on IFN-based therapy;SMAD4 was identified as a miR-146a target and was downregulated in BARF1-expressing cells whereas SMAD4 expression was restored by anti-miR-146a; Knockdown of BARF1 in YCCEL1 cells upregulated SMAD4 and this effect was reversed by miR-146a overexpression; In stomach cancer tissues miR-146a was expressed at higher levels and more frequent NFκB nuclear positivity immunohistochemically but not of SMAD4 nuclear loss was found in the EBV-positive group compared with the EBV-negative group; In conclusion EBV-encoded BARF1 promotes cell proliferation in stomach cancer by upregulating NFκB and miR-146a and downregulating SMAD4 thereby contributing to EBV-induced stomach cancer progression;Increased miR 146a in gastric cancer directly targets SMAD4 and is involved in modulating cell proliferation and apoptosis; Using target prediction algorithms luciferase reporter assay and Western blot assay SMAD family member 4 SMAD4 was identified as a target gene of miR-146a in gastric cancer; Moreover an inverse correlation was observed between the expression of SMAD4 mRNA and miR-146a in gastric cancer tissues R=-0.731 P=0.039 Pearson's correlation; Taken together our results provide important evidence that miR-146a can directly target SMAD4 and suggest that miR-146a may play a role in the development of gastric cancer by modulating cell proliferation and apoptosis
38 hsa-miR-146a-5p SRR -1.12 0.05777 -0.45 0.14307 miRNATAP -0.17 0 NA
39 hsa-miR-146a-5p TAF9B -1.12 0.05777 -0.04 0.87815 miRNATAP -0.15 1.0E-5 NA
40 hsa-miR-146a-5p TANC2 -1.12 0.05777 0.22 0.53322 mirMAP -0.1 0.01786 NA
41 hsa-miR-146a-5p TM9SF2 -1.12 0.05777 0.36 0.17707 miRNATAP -0.11 0.00063 NA
42 hsa-miR-146a-5p TMEM120B -1.12 0.05777 -0.02 0.9519 MirTarget -0.1 0.00095 NA
43 hsa-miR-146a-5p TMEM132B -1.12 0.05777 1.09 0.13939 mirMAP -0.27 0.00346 NA
44 hsa-miR-146a-5p TMEM209 -1.12 0.05777 -0.01 0.98078 MirTarget -0.12 0.00018 NA
45 hsa-miR-146a-5p TMX4 -1.12 0.05777 0.36 0.29632 mirMAP -0.17 6.0E-5 NA
46 hsa-miR-146a-5p USP22 -1.12 0.05777 -0.34 0.18967 mirMAP -0.11 0.00039 NA
47 hsa-miR-146a-5p ZBED3 -1.12 0.05777 -0.3 0.56772 mirMAP -0.16 0.01031 NA
48 hsa-miR-146a-5p ZHX3 -1.12 0.05777 0.08 0.80185 mirMAP -0.18 0 NA
49 hsa-miR-146a-5p ZNF10 -1.12 0.05777 -0.24 0.51276 MirTarget -0.16 0.00046 NA
50 hsa-miR-146a-5p ZNF618 -1.12 0.05777 -0.36 0.29567 mirMAP -0.2 0 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 Wnt_signaling_pathway_hsa04310 3 146 0.005813 0.3023
2 Apelin_signaling_pathway_hsa04371 2 137 0.04608 0.7377
3 Signaling_pathways_regulating_pluripotency_of_stem_cells_hsa04550 2 139 0.04729 0.7377
4 Hippo_signaling_pathway_hsa04390 2 154 0.05675 0.7377
5 cAMP_signaling_pathway_hsa04024 2 198 0.08773 0.8131
6 Rap1_signaling_pathway_hsa04015 2 206 0.09382 0.8131
7 Neuroactive_ligand_receptor_interaction_hsa04080 2 278 0.1532 0.8611

Quest ID: 27da12d2100619b62c62cffcec438371