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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-221-3p TP53 0.45 0.09098 0.17 0.48779 miRNAWalker2 validate -0.12 0.01057 20880178; 24324033 Circulating miR 221 directly amplified from plasma is a potential diagnostic and prognostic marker of colorectal cancer and is correlated with p53 expression; The correlation between miR-221 levels and protein levels of p53 CEA ER and PR clinicopathological features or overall survival was analyzed; The immunohistochemistry analysis demonstrates a significant correlation between plasma miR-221 level and p53 expression; The direct amplification of plasma miR-221 can be used as a potential noninvasive molecular marker for diagnosis and prognosis of CRC and is correlated with p53 expression;Interestingly miR-221 can activate the p53/mdm2 axis by inhibiting MDM2 and in turn p53 activation contributes to miR-221 enhanced expression; Moreover by modulating the p53 axis miR-221 impacts cell-cycle progression and apoptotic response to doxorubicin in hepatocellular carcinoma-derived cell lines; These data were confirmed in clinical specimens of hepatocellular carcinoma in which elevated miR-221 expression was associated with the simultaneous presence of wild-type p53 and DNA hypomethylation
2 hsa-miR-222-3p TP53 0.85 0.00267 0.17 0.48779 miRNAWalker2 validate -0.12 0.0059 NA
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value
NumGOOverlapSizeP ValueAdj. P Value

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value
1 Sphingolipid_signaling_pathway_hsa04071 2 118 0.0003412 0.01774

Quest ID: 462d37a0c1e42f15fc13142764d3cc54