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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-103a-3p CD274 0.99 0.00468 2.22 0.05161 miRNAWalker2 validate -0.48 0.01013 NA
2 hsa-miR-106a-5p CD274 3.99 0 2.22 0.05161 MirTarget; miRNATAP -0.24 0.00245 NA
3 hsa-miR-182-5p CD274 5.87 0 2.22 0.05161 mirMAP -0.34 5.0E-5 NA
4 hsa-miR-200a-3p CD274 6.34 0 2.22 0.05161 MirTarget -0.35 1.0E-5 NA
5 hsa-miR-20b-5p CD274 4.57 5.0E-5 2.22 0.05161 MirTarget; miRNATAP -0.19 0.0007 24468585 These findings suggest that miR-20b -21 and -130b up-regulated in colorectal cancer through inhibiting the expression of PTEN result in B7-H1 over-expression in colorectal cancer
6 hsa-miR-324-5p CD274 1.31 0.01168 2.22 0.05161 miRanda -0.47 0.00014 NA
7 hsa-miR-429 CD274 6.4 0 2.22 0.05161 miRanda -0.41 0 NA
8 hsa-miR-497-5p CD274 -1.44 0.02251 2.22 0.05161 MirTarget -0.38 0.00018 NA
9 hsa-miR-93-5p CD274 2.66 0 2.22 0.05161 MirTarget; miRNATAP -0.46 0.00064 NA
10 hsa-miR-107 EGFR 1.49 0.00013 1.4 0.17026 miRanda -0.37 0.012 NA
11 hsa-miR-125a-5p EGFR -1.32 0.00714 1.4 0.17026 mirMAP -0.42 0.00032 19881956; 27094723; 24484870 We report that EGFR signaling leads to transcriptional repression of the miRNA miR-125a through the ETS family transcription factor PEA3;Suppression of microRNA 125a 5p upregulates the TAZ EGFR signaling pathway and promotes retinoblastoma proliferation; Moreover the overexpression of miR-125a-5p led to a decrease in TAZ expression and downstream EGFR signaling pathway activation both in vitro and vivo; Finally TAZ overexpression in retinoblastoma cells overexpressing miR-125a-5p restored retinoblastoma cell proliferation and EGFR pathway activation; Taken together our data demonstrated that miR-125a-5p functions as an important tumor suppressor that suppresses the EGFR pathway by targeting TAZ to inhibit tumor progression in retinoblastoma;miR 125a regulates cell cycle proliferation and apoptosis by targeting the ErbB pathway in acute myeloid leukemia; Profiling revealed the ErbB pathway as significantly decreased with ectopic miR-125a; Either ectopic expression of miR-125a or inhibition of ErbB via Mubritinib resulted in inhibition of cell cycle proliferation and progression with enhanced apoptosis revealing ErbB inhibitors as potential novel therapeutic agents for treating miR-125a-low AML
12 hsa-miR-128-3p EGFR 1.36 0.00408 1.4 0.17026 miRNAWalker2 validate; miRTarBase -0.33 0.00791 NA
13 hsa-miR-141-3p EGFR 7.3 0 1.4 0.17026 MirTarget -0.16 0.03017 26025929 Treatment with the EGFR inhibitor AG1478 or overexpression of miR141 blocked the activity of ERK downstream of EGFR and inhibited KLF8-depndent cell invasiveness proliferation and viability in cell culture and invasive growth and lung metastasis in nude mice
14 hsa-miR-148b-5p EGFR 2.81 0 1.4 0.17026 mirMAP -0.29 0.00994 NA
15 hsa-miR-186-5p EGFR 0.45 0.18545 1.4 0.17026 mirMAP -0.73 3.0E-5 NA
16 hsa-miR-188-5p EGFR 1.39 0.02516 1.4 0.17026 mirMAP -0.26 0.00496 NA
17 hsa-miR-192-3p EGFR 0.85 0.48094 1.4 0.17026 mirMAP -0.2 6.0E-5 NA
18 hsa-miR-192-5p EGFR 1.78 0.11349 1.4 0.17026 mirMAP -0.25 0 NA
19 hsa-miR-194-3p EGFR 1.92 0.10538 1.4 0.17026 MirTarget -0.18 0.00021 NA
20 hsa-miR-200a-3p EGFR 6.34 0 1.4 0.17026 MirTarget -0.31 1.0E-5 26184032; 19671845 MicroRNA 200a Targets EGFR and c Met to Inhibit Migration Invasion and Gefitinib Resistance in Non Small Cell Lung Cancer; In this study we found that miR-200a is downregulated in NSCLC cells where it directly targets the 3'-UTR of both EGFR and c-Met mRNA; Overexpression of miR-200a in NSCLC cells significantly downregulates both EGFR and c-Met levels and severely inhibits cell migration and invasion;Protein expression and signaling pathway modulation as well as intracellular distribution of EGFR and ERRFI-1 were validated through Western blot analysis and confocal microscopy whereas ERRFI-1 direct target of miR-200 members was validated by using the wild-type and mutant 3'-untranslated region/ERRFI-1/luciferse reporters; We identified a tight association between the expression of miRNAs of the miR-200 family epithelial phenotype and sensitivity to EGFR inhibitors-induced growth inhibition in bladder carcinoma cell lines; The changes in EGFR sensitivity by silencing or forced expression of ERRFI-1 or by miR-200 expression have also been validated in additional cell lines UMUC5 and T24; Members of the miR-200 family appear to control the EMT process and sensitivity to EGFR therapy in bladder cancer cells and the expression of miR-200 is sufficient to restore EGFR dependency at least in some of the mesenchymal bladder cancer cells
21 hsa-miR-26b-3p EGFR 0.99 0.03514 1.4 0.17026 mirMAP -0.33 0.00731 NA
22 hsa-miR-29b-2-5p EGFR -0.6 0.18954 1.4 0.17026 mirMAP -0.65 0 NA
23 hsa-miR-30a-3p EGFR -1.22 0.16757 1.4 0.17026 mirMAP -0.21 0.00099 NA
24 hsa-miR-30a-5p EGFR -0.77 0.32049 1.4 0.17026 miRNAWalker2 validate -0.28 0.00021 NA
25 hsa-miR-30d-3p EGFR -0.07 0.85742 1.4 0.17026 mirMAP -0.36 0.01186 NA
26 hsa-miR-362-5p EGFR -1.22 0.04527 1.4 0.17026 mirMAP -0.43 0 NA
27 hsa-miR-375 EGFR 3.38 0.04499 1.4 0.17026 miRanda -0.22 0 NA
28 hsa-miR-3913-5p EGFR 0.15 0.73484 1.4 0.17026 mirMAP -0.33 0.01522 NA
29 hsa-miR-491-5p EGFR 0.57 0.31331 1.4 0.17026 miRanda -0.23 0.02883 25299770 This latter effect is due to direct targeting of epidermal growth factor receptor EGFR by miR-491-5p and consequent inhibition of downstream AKT and MAPK signalling pathways; Induction of apoptosis by miR-491-5p in this cell line is mimicked by a combination of EGFR inhibition together with a BH3-mimetic molecule
30 hsa-miR-501-5p EGFR 1.04 0.07772 1.4 0.17026 mirMAP -0.25 0.01158 NA
31 hsa-miR-616-5p EGFR 2.48 0.00318 1.4 0.17026 mirMAP -0.17 0.04935 NA
32 hsa-miR-7-1-3p EGFR 1.43 0.00471 1.4 0.17026 mirMAP -0.48 3.0E-5 NA
33 hsa-miR-769-5p EGFR 0.42 0.34309 1.4 0.17026 mirMAP -0.3 0.02445 NA
34 hsa-miR-106b-5p STAT3 2.81 0 0.02 0.95726 miRNATAP -0.11 0.00227 27325313 We also found that EMMPRIN could down-regulate miR-106a and miR-106b expression in breast cancer cells which led to activating STAT3 and enhancing HIF-1α expression
35 hsa-miR-320b STAT3 0.2 0.72722 0.02 0.95726 miRanda -0.11 0.00012 NA
36 hsa-miR-590-5p STAT3 1.51 0.00239 0.02 0.95726 miRanda; miRNATAP -0.11 0.00092 27757042 We found that the AKT/ERK and STAT3 signaling pathways were activated by miR-590-5p overexpression
37 hsa-miR-93-5p STAT3 2.66 0 0.02 0.95726 miRNAWalker2 validate; miRNATAP -0.11 0.0016 NA
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value

lncRNA-mediated sponge

(Download full result)

Num lncRNA miRNAs           miRNAs count     Gene Sponge regulatory network lncRNA log2FC lncRNA pvalue Gene log2FC Gene pvalue lncRNA-gene Pearson correlation
1 RP11-498M15.1 hsa-miR-107;hsa-miR-125a-5p;hsa-miR-128-3p;hsa-miR-186-5p;hsa-miR-188-5p;hsa-miR-192-3p;hsa-miR-192-5p;hsa-miR-194-3p;hsa-miR-29b-2-5p;hsa-miR-30a-3p;hsa-miR-30a-5p;hsa-miR-616-5p 12 EGFR Sponge network 7.388 0.02282 1.4 0.17026 0.559
2 AC124789.1 hsa-miR-107;hsa-miR-125a-5p;hsa-miR-128-3p;hsa-miR-141-3p;hsa-miR-192-3p;hsa-miR-194-3p;hsa-miR-200a-3p;hsa-miR-29b-2-5p;hsa-miR-362-5p;hsa-miR-3913-5p;hsa-miR-491-5p;hsa-miR-616-5p 12 EGFR Sponge network 1.298 0.42067 1.4 0.17026 0.535
3 RP11-411K7.1 hsa-miR-107;hsa-miR-125a-5p;hsa-miR-186-5p;hsa-miR-192-3p;hsa-miR-192-5p;hsa-miR-194-3p;hsa-miR-29b-2-5p;hsa-miR-30a-3p;hsa-miR-30a-5p;hsa-miR-30d-3p 10 EGFR Sponge network 4.154 0.00603 1.4 0.17026 0.507
4 RP11-150O12.1 hsa-miR-107;hsa-miR-125a-5p;hsa-miR-141-3p;hsa-miR-192-5p;hsa-miR-194-3p;hsa-miR-200a-3p;hsa-miR-29b-2-5p;hsa-miR-30a-3p;hsa-miR-30a-5p;hsa-miR-769-5p 10 EGFR Sponge network 1.864 0.30898 1.4 0.17026 0.483
5 LINC00964 hsa-miR-125a-5p;hsa-miR-192-3p;hsa-miR-192-5p;hsa-miR-194-3p;hsa-miR-200a-3p;hsa-miR-29b-2-5p;hsa-miR-30a-3p;hsa-miR-30a-5p;hsa-miR-30d-3p;hsa-miR-375 10 EGFR Sponge network 6.695 0.0026 1.4 0.17026 0.463
6 MIR205HG hsa-miR-125a-5p;hsa-miR-192-3p;hsa-miR-192-5p;hsa-miR-194-3p;hsa-miR-29b-2-5p;hsa-miR-30a-3p;hsa-miR-30a-5p;hsa-miR-30d-3p;hsa-miR-362-5p;hsa-miR-616-5p 10 EGFR Sponge network 7.594 0.00251 1.4 0.17026 0.44
7 AP001046.5 hsa-miR-107;hsa-miR-125a-5p;hsa-miR-128-3p;hsa-miR-188-5p;hsa-miR-192-3p;hsa-miR-192-5p;hsa-miR-194-3p;hsa-miR-200a-3p;hsa-miR-30a-3p;hsa-miR-30d-3p 10 EGFR Sponge network 2.636 0.00941 1.4 0.17026 0.401
8 AF131217.1 hsa-miR-107;hsa-miR-141-3p;hsa-miR-192-3p;hsa-miR-192-5p;hsa-miR-194-3p;hsa-miR-200a-3p;hsa-miR-29b-2-5p;hsa-miR-375;hsa-miR-501-5p;hsa-miR-616-5p 10 EGFR Sponge network -1.542 0.34871 1.4 0.17026 0.347
9 RP11-58E21.3 hsa-miR-107;hsa-miR-125a-5p;hsa-miR-128-3p;hsa-miR-188-5p;hsa-miR-200a-3p;hsa-miR-30a-3p;hsa-miR-30a-5p;hsa-miR-30d-3p;hsa-miR-3913-5p;hsa-miR-769-5p 10 EGFR Sponge network 1.684 0.07749 1.4 0.17026 0.329
10 GAS6-AS2 hsa-miR-107;hsa-miR-128-3p;hsa-miR-141-3p;hsa-miR-186-5p;hsa-miR-192-3p;hsa-miR-192-5p;hsa-miR-194-3p;hsa-miR-200a-3p;hsa-miR-26b-3p;hsa-miR-7-1-3p 10 EGFR Sponge network -1.941 0.0681 1.4 0.17026 0.316
11 RP11-567M16.1 hsa-miR-107;hsa-miR-141-3p;hsa-miR-148b-5p;hsa-miR-186-5p;hsa-miR-192-3p;hsa-miR-192-5p;hsa-miR-200a-3p;hsa-miR-29b-2-5p;hsa-miR-30a-5p;hsa-miR-30d-3p;hsa-miR-616-5p;hsa-miR-769-5p 12 EGFR Sponge network -2.638 0.21408 1.4 0.17026 0.275
12 RP11-276H19.1 hsa-miR-107;hsa-miR-128-3p;hsa-miR-141-3p;hsa-miR-148b-5p;hsa-miR-186-5p;hsa-miR-192-3p;hsa-miR-192-5p;hsa-miR-194-3p;hsa-miR-200a-3p;hsa-miR-501-5p;hsa-miR-7-1-3p;hsa-miR-769-5p 12 EGFR Sponge network -3.056 0.02256 1.4 0.17026 0.275

Quest ID: 4d7cbc7130f83ef044d396864325de3a