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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-425-5p ADARB1 0.35 0.84598 0.12 0.88918 mirMAP -0.28 0 NA
2 hsa-miR-425-5p AFF2 0.35 0.84598 -0.1 0.89663 miRNATAP -0.47 3.0E-5 NA
3 hsa-miR-425-5p AMPH 0.35 0.84598 -0.85 0.0564 MirTarget; miRNATAP -0.66 0 NA
4 hsa-miR-425-5p ANTXR1 0.35 0.84598 -0.41 0.78975 MirTarget -0.81 0 NA
5 hsa-miR-425-5p BCAT1 0.35 0.84598 -0.28 0.72755 MirTarget -0.61 0 NA
6 hsa-miR-425-5p BEX4 0.35 0.84598 -0.65 0.33555 miRNAWalker2 validate; MirTarget -0.4 0 NA
7 hsa-miR-425-5p C3orf70 0.35 0.84598 0.16 0.83547 miRNATAP -0.23 0.00677 NA
8 hsa-miR-425-5p CACNA1E 0.35 0.84598 0.02 0.97264 mirMAP -0.55 2.0E-5 NA
9 hsa-miR-425-5p CBX6 0.35 0.84598 0.23 0.78272 miRNATAP -0.48 0 NA
10 hsa-miR-425-5p CFL2 0.35 0.84598 -0.17 0.83413 miRNATAP -0.48 0 NA
11 hsa-miR-425-5p CHL1 0.35 0.84598 -0.1 0.86218 mirMAP -0.83 0 NA
12 hsa-miR-425-5p CLU 0.35 0.84598 -0.02 0.98485 miRNAWalker2 validate -0.64 0 NA
13 hsa-miR-425-5p CNTN2 0.35 0.84598 -0.63 0.52357 mirMAP -0.76 0 NA
14 hsa-miR-425-5p CYGB 0.35 0.84598 -0.3 0.75092 MirTarget -0.26 0 NA
15 hsa-miR-425-5p CYYR1 0.35 0.84598 -0.25 0.68685 MirTarget -0.42 0 NA
16 hsa-miR-425-5p DIP2C 0.35 0.84598 0.09 0.92276 MirTarget; miRNATAP -0.38 0 NA
17 hsa-miR-425-5p DPYSL2 0.35 0.84598 0.36 0.80284 miRNAWalker2 validate -0.24 0.00044 NA
18 hsa-miR-425-5p DTNA 0.35 0.84598 -0.79 0.17592 mirMAP -0.71 0 NA
19 hsa-miR-425-5p EDIL3 0.35 0.84598 -0.21 0.77251 MirTarget -0.68 0 NA
20 hsa-miR-425-5p ERC1 0.35 0.84598 0.01 0.99607 mirMAP -0.12 0.00041 NA
21 hsa-miR-425-5p FKBP1B 0.35 0.84598 -0.42 0.33943 miRNATAP -0.25 0.00967 NA
22 hsa-miR-425-5p FOSL2 0.35 0.84598 0.07 0.96174 mirMAP -0.18 3.0E-5 NA
23 hsa-miR-425-5p FOXN3 0.35 0.84598 -0 0.99922 miRNATAP -0.17 5.0E-5 NA
24 hsa-miR-425-5p FST 0.35 0.84598 -0.8 0.07168 MirTarget -0.8 0 NA
25 hsa-miR-425-5p GNB5 0.35 0.84598 0.06 0.93822 miRNAWalker2 validate -0.29 0 NA
26 hsa-miR-425-5p GREB1 0.35 0.84598 -0.34 0.32691 MirTarget -0.43 0 NA
27 hsa-miR-425-5p HHIP 0.35 0.84598 -0.56 0.33189 mirMAP -0.48 0.00042 NA
28 hsa-miR-425-5p HSPB8 0.35 0.84598 -0.45 0.53082 MirTarget -0.94 0 NA
29 hsa-miR-425-5p IGSF1 0.35 0.84598 -1.13 0.17412 miRNAWalker2 validate -0.31 0.03299 NA
30 hsa-miR-425-5p IL18BP 0.35 0.84598 0.24 0.78578 MirTarget -0.31 0 NA
31 hsa-miR-425-5p ITGB3 0.35 0.84598 -0.14 0.81966 MirTarget -0.61 0 NA
32 hsa-miR-425-5p ITPR1 0.35 0.84598 0.1 0.90394 MirTarget; miRNATAP -0.46 0 NA
33 hsa-miR-425-5p KCTD15 0.35 0.84598 0.19 0.83321 mirMAP -0.39 0 NA
34 hsa-miR-425-5p KIAA0513 0.35 0.84598 0.2 0.82493 mirMAP -0.15 0.02399 NA
35 hsa-miR-425-5p KIAA1024 0.35 0.84598 0.02 0.95521 mirMAP -0.16 0.01251 NA
36 hsa-miR-425-5p KIAA1614 0.35 0.84598 -0.19 0.475 mirMAP -0.38 0 NA
37 hsa-miR-425-5p KIAA2022 0.35 0.84598 -0.68 0.43964 miRNATAP -1 0 NA
38 hsa-miR-425-5p KIF1A 0.35 0.84598 -1.18 0.14184 mirMAP -0.88 0 NA
39 hsa-miR-425-5p KLHL13 0.35 0.84598 -0.1 0.87573 MirTarget; miRNATAP -0.32 0.0166 NA
40 hsa-miR-425-5p LCOR 0.35 0.84598 0.38 0.54063 miRNAWalker2 validate -0.16 0.00346 NA
41 hsa-miR-425-5p LDOC1L 0.35 0.84598 0.33 0.78862 MirTarget; mirMAP -0.12 0.00011 NA
42 hsa-miR-425-5p LONRF2 0.35 0.84598 -0.48 0.57363 mirMAP -1.41 0 NA
43 hsa-miR-425-5p LRRC15 0.35 0.84598 0.28 0.75993 mirMAP -0.65 0 NA
44 hsa-miR-425-5p MAN1C1 0.35 0.84598 0.05 0.93058 MirTarget -0.48 0 NA
45 hsa-miR-425-5p MBP 0.35 0.84598 0.43 0.73245 mirMAP -0.11 0.00607 NA
46 hsa-miR-425-5p MEF2C 0.35 0.84598 -0.17 0.82808 MirTarget; miRNATAP -0.44 0 NA
47 hsa-miR-425-5p N4BP3 0.35 0.84598 -0.33 0.55597 mirMAP -0.34 0 NA
48 hsa-miR-425-5p NAT8L 0.35 0.84598 -0.34 0.63637 mirMAP -0.32 0.00593 NA
49 hsa-miR-425-5p NCAM1 0.35 0.84598 0.12 0.82271 miRNATAP -0.53 0 NA
50 hsa-miR-425-5p NCF2 0.35 0.84598 -0.01 0.99437 MirTarget -0.54 0 NA
51 hsa-miR-425-5p NECAB1 0.35 0.84598 -0.54 0.18685 MirTarget -0.72 0 NA
52 hsa-miR-425-5p NOS1 0.35 0.84598 -1.3 0.24212 mirMAP -1.01 0 NA
53 hsa-miR-425-5p NOVA2 0.35 0.84598 -0.32 0.22367 mirMAP -0.31 0 NA
54 hsa-miR-425-5p NRIP3 0.35 0.84598 -0.53 0.09877 MirTarget -0.32 1.0E-5 NA
55 hsa-miR-425-5p OSBPL8 0.35 0.84598 0.01 0.99575 miRNATAP -0.11 0.00084 NA
56 hsa-miR-425-5p PAFAH1B1 0.35 0.84598 0.06 0.96928 MirTarget; miRNATAP -0.14 0 NA
57 hsa-miR-425-5p PCDHB5 0.35 0.84598 -0.84 0.03664 MirTarget -0.65 0 NA
58 hsa-miR-425-5p PDE4A 0.35 0.84598 0.06 0.95567 miRNATAP -0.13 0.006 NA
59 hsa-miR-425-5p PHF21A 0.35 0.84598 -0.12 0.90755 MirTarget -0.14 0 NA
60 hsa-miR-425-5p PIP4K2A 0.35 0.84598 -0.13 0.89884 miRNAWalker2 validate -0.21 0 NA
61 hsa-miR-425-5p PNMAL1 0.35 0.84598 -0.92 0.05691 MirTarget -0.82 0 NA
62 hsa-miR-425-5p PPM1L 0.35 0.84598 0.52 0.23211 MirTarget -0.15 0.00629 NA
63 hsa-miR-425-5p PSD3 0.35 0.84598 0.34 0.75003 mirMAP -0.18 0.00139 NA
64 hsa-miR-425-5p PTCHD1 0.35 0.84598 0.33 0.72188 mirMAP -0.89 0 NA
65 hsa-miR-106a-5p PTEN 0.2 0.80221 0.27 0.8446 miRNATAP -0.14 0.00145 26097565; 26318586 miR 106a promotes growth and metastasis of non small cell lung cancer by targeting PTEN; Furthermore the presence of miR-106a was inversely correlated with PTEN in NSCLC tissues; Overall this study suggested that miR-106a inhibited the growth and metastasis of NSCLC cells by decreasing PTEN expression;Further pterostilbene through downregulation of miR-17-5p and miR-106a-5p expression both in tumors and systemic circulation rescued PTEN mRNA and protein levels leading to reduced tumor growth in vivo
66 hsa-miR-188-5p PTEN 0.57 0.32482 0.27 0.8446 MirTarget; PITA; miRNATAP -0.1 0.00127 NA
67 hsa-miR-193a-3p PTEN 0.25 0.65436 0.27 0.8446 PITA; miRanda -0.1 0.01026 26753960; 23223432 Downregulation of microRNA 193 3p inhibits tumor proliferation migration and chemoresistance in human gastric cancer by regulating PTEN gene;Our study identifies miR-193a and PTEN as targets for AML1/ETO and provides evidence that links the epigenetic silencing of tumor suppressor genes miR-193a and PTEN to differentiation block of myeloid precursors
68 hsa-miR-29b-3p PTEN 0.1 0.95899 0.27 0.8446 miRNAWalker2 validate; miRTarBase; MirTarget; miRNATAP -0.12 0.0055 26471361; 23179556; 26063204; 21359530 Mechanistically ATDC exerted its oncogenic effects by suppressing miR-29 and subsequent upregulation of DNMT3A leading to DNA methylation and silencing of the tumor suppressor PTEN;Anticancer role of MUC1 aptamer miR 29b chimera in epithelial ovarian carcinoma cells through regulation of PTEN methylation; Our study indicated that Chi-29b chimera can effectively exert antitumor effect through specific delivery of miR-29b into OVCAR-3 tumor cells subsequently reexpressing PTEN gene and inducing cell apoptosis;Furthermore the dual-luciferase reporter assay demonstrated that miR-29b inhibited the expression of the luciferase gene containing the 3'-UTRs of MMP2 and PTEN mRNA;In contrast enhanced miR-29b expression by transfection with pre-miR-29b decreased the expression of PTEN and impaired apoptosis increasing tumor cell migration and invasion; Moreover PTEN was shown to be a direct target of miR-29b and was also shown to contribute to the miR-29b-mediated effects on cell invasion; Modulation of miR-29b altered the role of PTEN involved in cell migration and invasion; Aberrant expression of miR-29b which modulates PTEN expression can contribute to migration invasion and anti-apoptosis
69 hsa-miR-454-3p PTEN 0.1 0.84355 0.27 0.8446 MirTarget; miRNATAP -0.12 0.01867 26296312; 27261580 MicroRNA 454 functions as an oncogene by regulating PTEN in uveal melanoma; Furthermore we identified PTEN as a direct target of miR-454; Our data revealed that ectopic expression of PTEN restored the effects of miR-454 on cell proliferation and invasion in uveal melanoma cells;MiR 454 promotes the progression of human non small cell lung cancer and directly targets PTEN; At last the potential regulatory function of miR-454 on PTEN expression was confirmed; Further PTEN was confirmed as a direct target of miR-454 by using Luciferase Reporter Assay
70 hsa-miR-425-5p PTPN7 0.35 0.84598 0.97 0.21512 MirTarget -0.23 0.03372 NA
71 hsa-miR-425-5p PTPRT 0.35 0.84598 -0.38 0.6603 mirMAP -0.54 2.0E-5 NA
72 hsa-miR-425-5p QKI 0.35 0.84598 -0.18 0.86387 miRNAWalker2 validate -0.45 0 NA
73 hsa-miR-425-5p RAB8B 0.35 0.84598 0.09 0.9279 miRNATAP -0.25 0 NA
74 hsa-miR-425-5p RABGAP1L 0.35 0.84598 0.01 0.99222 miRNATAP -0.16 1.0E-5 NA
75 hsa-miR-425-5p RGS13 0.35 0.84598 0.26 0.7517 MirTarget -0.37 0.00615 NA
76 hsa-miR-425-5p RNF11 0.35 0.84598 0.01 0.99097 MirTarget; miRNATAP -0.13 0 NA
77 hsa-miR-425-5p RNF168 0.35 0.84598 0.34 0.62084 MirTarget -0.12 0.0035 NA
78 hsa-miR-425-5p RYR2 0.35 0.84598 -0.56 0.28833 MirTarget -0.62 0 NA
79 hsa-miR-425-5p SAMD4A 0.35 0.84598 -0.04 0.96173 miRNATAP -0.39 0 NA
80 hsa-miR-425-5p SCN4B 0.35 0.84598 -0.49 0.2077 mirMAP -0.54 0 NA
81 hsa-miR-425-5p SERPINE1 0.35 0.84598 -0.97 0.43183 MirTarget; miRNATAP -0.54 0 NA
82 hsa-miR-425-5p SLC1A2 0.35 0.84598 0.16 0.80769 mirMAP -0.37 3.0E-5 NA
83 hsa-miR-425-5p SMAD4 0.35 0.84598 0.47 0.71478 mirMAP -0.13 0.00134 NA
84 hsa-miR-425-5p SNAP91 0.35 0.84598 -0.2 0.84832 miRNATAP -0.78 0 NA
85 hsa-miR-425-5p SSBP2 0.35 0.84598 -0.66 0.18574 mirMAP -0.48 0 NA
86 hsa-miR-425-5p SYNJ1 0.35 0.84598 -0.08 0.91908 miRNATAP -0.1 0.00133 NA
87 hsa-miR-425-5p SYT2 0.35 0.84598 -0.63 0.17083 mirMAP -0.19 0.02 NA
88 hsa-miR-425-5p TAOK1 0.35 0.84598 0.01 0.9951 miRNAWalker2 validate -0.23 1.0E-5 NA
89 hsa-miR-425-5p TBCEL 0.35 0.84598 0.07 0.91951 MirTarget -0.2 5.0E-5 NA
90 hsa-miR-425-5p TEAD1 0.35 0.84598 -0.02 0.98751 mirMAP -0.12 0.00027 NA
91 hsa-miR-425-5p THEMIS 0.35 0.84598 0.89 0.05413 MirTarget -0.36 0.00094 NA
92 hsa-miR-425-5p THRB 0.35 0.84598 -0.14 0.84522 MirTarget; miRNATAP -0.35 0.00813 NA
93 hsa-miR-425-5p TIFAB 0.35 0.84598 1.11 0.09291 mirMAP -0.29 0.01287 NA
94 hsa-miR-425-5p TNC 0.35 0.84598 -0.42 0.7855 MirTarget -0.85 0 NA
95 hsa-miR-425-5p TNS1 0.35 0.84598 -0.38 0.7955 mirMAP -0.88 0 24571667 Here we show that IL-1β induces the upregulation of miR-425 which negatively regulates phosphatase and tensin homolog expression by targeting its 3' UTR; Consequently repression of phosphatase and tensin homolog by miR-425 promotes gastric cancer cell proliferation which is required to protect cells from cisplatin-induced apoptosis; Taken together our data support a critical role for NF-kappaB-dependent upregulation of miR-425 which represents a new pathway for the repression of phosphatase and tensin homolog activation and the promotion of cell survival upon IL-1β induction
96 hsa-miR-425-5p TTC9 0.35 0.84598 -0.39 0.63141 mirMAP -0.24 0.00797 NA
97 hsa-miR-425-5p WDR7 0.35 0.84598 0.19 0.82481 mirMAP -0.18 0 NA
98 hsa-miR-425-5p WTIP 0.35 0.84598 -0.4 0.40814 mirMAP -0.43 0 NA
99 hsa-miR-425-5p ZFP82 0.35 0.84598 -0.36 0.36072 MirTarget -0.4 2.0E-5 NA
100 hsa-miR-425-5p ZMAT3 0.35 0.84598 0.33 0.50394 MirTarget -0.27 1.0E-5 NA
101 hsa-miR-425-5p ZNF423 0.35 0.84598 -0.94 0.10861 MirTarget; miRNATAP -0.3 0.00148 NA
102 hsa-miR-425-5p ZNF677 0.35 0.84598 -0.33 0.60182 mirMAP -0.55 0 NA

Over-represented Gene Ontology Biological Process

NumGOOverlapSizeP ValueAdj. P Value
1 CELL CELL SIGNALING 16 767 9.414e-07 0.002574
2 SYNAPTIC SIGNALING 12 424 1.106e-06 0.002574
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value
1 NEURON PART 19 1265 1.044e-05 0.005263
2 SYNAPSE 14 754 1.802e-05 0.005263

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value
1 Apelin_signaling_pathway_hsa04371 7 137 4.996e-06 0.0002598
2 Phosphatidylinositol_signaling_system_hsa04070 4 99 0.001429 0.03716
3 p53_signaling_pathway_hsa04115 3 68 0.004541 0.0787
4 Hippo_signaling_pathway_hsa04390 4 154 0.006976 0.09069
5 Hippo_signaling_pathway_multiple_species_hsa04392 2 29 0.008853 0.09207
6 Calcium_signaling_pathway_hsa04020 4 182 0.01235 0.107
7 Phagosome_hsa04145 3 152 0.03878 0.2863
8 Cellular_senescence_hsa04218 3 160 0.04404 0.2863
9 MAPK_signaling_pathway_hsa04010 4 295 0.05717 0.2976
10 ECM_receptor_interaction_hsa04512 2 82 0.06131 0.2976
11 TGF_beta_signaling_pathway_hsa04350 2 84 0.06395 0.2976
12 cAMP_signaling_pathway_hsa04024 3 198 0.07353 0.2976
13 Focal_adhesion_hsa04510 3 199 0.0744 0.2976
14 Regulation_of_actin_cytoskeleton_hsa04810 3 208 0.08245 0.3062
15 PI3K_Akt_signaling_pathway_hsa04151 4 352 0.09472 0.3284
16 Autophagy_animal_hsa04140 2 128 0.1302 0.4186
17 FoxO_signaling_pathway_hsa04068 2 132 0.1368 0.4186
18 Cell_adhesion_molecules_.CAMs._hsa04514 2 145 0.1588 0.4589
19 cGMP_PKG_signaling_pathway_hsa04022 2 163 0.1903 0.5207
20 Endocytosis_hsa04144 2 244 0.3364 0.7949

Quest ID: acfb5238544ccb846459596202ba7b04