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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-30d-5p CASP3 -0.92 4.0E-5 0.75 0 miRNAWalker2 validate; miRTarBase; miRNATAP -0.17 0 NA
2 hsa-miR-106a-5p CCND1 1.39 6.0E-5 -0.3 0.2554 MirTarget; miRNATAP -0.25 0 NA
3 hsa-miR-106b-5p CCND1 1.47 0 -0.3 0.2554 miRNAWalker2 validate; miRTarBase; MirTarget; miRNATAP -0.26 1.0E-5 NA
4 hsa-miR-15a-5p CCND1 1.63 0 -0.3 0.2554 miRNAWalker2 validate; miRTarBase; MirTarget; miRNATAP -0.2 0.00193 22922827 CCND1 has been found to be a target of miR-15a and miR-16-1 through analysis of complementary sequences between microRNAs and CCND1 mRNA; Moreover the transcription of CCND1 is suppressed by miR-15a and miR-16-1 via direct binding to the CCND1 3'-untranslated region 3'-UTR
5 hsa-miR-15b-5p CCND1 -1.26 0 -0.3 0.2554 miRNAWalker2 validate; miRTarBase; MirTarget; miRNATAP -0.3 0 NA
6 hsa-miR-16-1-3p CCND1 1.5 0 -0.3 0.2554 miRNAWalker2 validate; miRTarBase -0.25 3.0E-5 22922827; 18483394 CCND1 has been found to be a target of miR-15a and miR-16-1 through analysis of complementary sequences between microRNAs and CCND1 mRNA; Moreover the transcription of CCND1 is suppressed by miR-15a and miR-16-1 via direct binding to the CCND1 3'-untranslated region 3'-UTR;Truncation in CCND1 mRNA alters miR 16 1 regulation in mantle cell lymphoma; Furthermore we demonstrated that this truncation alters miR-16-1 binding sites and through the use of reporter constructs we were able to show that miR-16-1 regulates CCND1 mRNA expression; This study introduces the role of miR-16-1 in the regulation of CCND1 in MCL
7 hsa-miR-16-5p CCND1 0.75 0 -0.3 0.2554 miRNAWalker2 validate; miRTarBase; MirTarget; miRNATAP -0.37 0 23991964; 22922827; 18483394 At the molecular level our results further revealed that cyclin D1 expression was negatively regulated by miR-16;CCND1 has been found to be a target of miR-15a and miR-16-1 through analysis of complementary sequences between microRNAs and CCND1 mRNA; Moreover the transcription of CCND1 is suppressed by miR-15a and miR-16-1 via direct binding to the CCND1 3'-untranslated region 3'-UTR;Truncation in CCND1 mRNA alters miR 16 1 regulation in mantle cell lymphoma; Furthermore we demonstrated that this truncation alters miR-16-1 binding sites and through the use of reporter constructs we were able to show that miR-16-1 regulates CCND1 mRNA expression; This study introduces the role of miR-16-1 in the regulation of CCND1 in MCL
8 hsa-miR-17-5p CCND1 2.07 0 -0.3 0.2554 miRNAWalker2 validate; MirTarget; TargetScan; miRNATAP -0.31 0 26431674 Bioinformatics Prediction and In Vitro Analysis Revealed That miR 17 Targets Cyclin D1 mRNA in Triple Negative Breast Cancer Cells; In this study using bioinformatic analyses miR-17 was selected as it targets the 3'UTR of CCND1 gene with the highest score; After lentiviral transduction of miR-17 to the target cells gene expression analysis showed decreased expression of CCND1 gene
9 hsa-miR-193a-3p CCND1 0.55 0.0319 -0.3 0.2554 MirTarget; PITA; miRanda -0.19 0.00016 NA
10 hsa-miR-193b-3p CCND1 1.1 0.00082 -0.3 0.2554 miRNAWalker2 validate; miRTarBase; MirTarget -0.15 4.0E-5 27071318; 20655737; 20304954; 21893020; 26129688 MicroRNA 193b inhibits the proliferation migration and invasion of gastric cancer cells via targeting cyclin D1; Further mechanism study indicated that CCND1 was a direct target of miR-193b in GC;CCND1 and ETS1 were revealed to be regulated by miR-193b directly;MicroRNA 193b represses cell proliferation and regulates cyclin D1 in melanoma; Overexpression of miR-193b in Malme-3M cells down-regulated CCND1 mRNA and protein by > or = 50%; A luciferase reporter assay confirmed that miR-193b directly regulates CCND1 by binding to the 3'untranslated region of CCND1 mRNA; These studies indicate that miR-193b represses cell proliferation and regulates CCND1 expression and suggest that dysregulation of miR-193b may play an important role in melanoma development;In a previous study we reported that miR-193b represses cell proliferation and regulates cyclin D1 in melanoma cells suggesting that miR-193b could act as a tumor suppressor;Epigenetically altered miR 193b targets cyclin D1 in prostate cancer; It has been suggested that miR-193b targets cyclin D1 in several malignancies; Here our aim was to determine if miR-193b targets cyclin D1 in prostate cancer; Furthermore the PC cell lines 22Rv1 and VCaP which express low levels of miR-193b and high levels of CCND1 showed significant growth retardation when treated with a CDK4/6 inhibitor; In contrast the inhibitor had no effect on the growth of PC-3 and DU145 cells with high miR-193b and low CCND1 expression; Taken together our data demonstrate that miR-193b targets cyclin D1 in prostate cancer
11 hsa-miR-19a-3p CCND1 2.12 0 -0.3 0.2554 miRNAWalker2 validate; miRTarBase; miRNATAP -0.22 0 25985117 Moreover miR-19a might play inhibitory roles in HCC malignancy via regulating Cyclin D1 expression
12 hsa-miR-19b-1-5p CCND1 1.71 0 -0.3 0.2554 miRNAWalker2 validate; miRTarBase -0.3 0 NA
13 hsa-miR-20a-5p CCND1 2.65 0 -0.3 0.2554 miRNAWalker2 validate; miRTarBase; MirTarget; miRNATAP -0.24 0 NA
14 hsa-miR-20b-5p CCND1 1.36 0.00261 -0.3 0.2554 MirTarget; miRNATAP -0.18 0 NA
15 hsa-miR-365a-3p CCND1 0.01 0.9536 -0.3 0.2554 miRNAWalker2 validate; miRTarBase -0.19 0.00023 NA
16 hsa-miR-374b-5p CCND1 0.47 0.01092 -0.3 0.2554 miRNAWalker2 validate; MirTarget -0.26 0.00012 NA
17 hsa-miR-93-5p CCND1 1.51 0 -0.3 0.2554 miRNAWalker2 validate; MirTarget; miRNATAP -0.32 0 NA
18 hsa-miR-106b-5p CCND2 1.47 0 -1.64 0 miRNAWalker2 validate; miRTarBase; miRNATAP -0.38 0 NA
19 hsa-miR-141-3p CCND2 3.37 0 -1.64 0 MirTarget; TargetScan -0.24 0 NA
20 hsa-miR-15a-5p CCND2 1.63 0 -1.64 0 miRNAWalker2 validate; miRTarBase; miRNATAP -0.16 0.00712 NA
21 hsa-miR-16-5p CCND2 0.75 0 -1.64 0 miRNAWalker2 validate; miRNATAP -0.14 0.04485 NA
22 hsa-miR-17-5p CCND2 2.07 0 -1.64 0 miRNAWalker2 validate; miRTarBase; TargetScan; miRNATAP -0.37 0 NA
23 hsa-miR-182-5p CCND2 3.22 0 -1.64 0 miRNAWalker2 validate; miRTarBase; miRNATAP -0.37 0 NA
24 hsa-miR-185-5p CCND2 1.14 0 -1.64 0 MirTarget; miRNATAP -0.24 0.00048 NA
25 hsa-miR-186-5p CCND2 0.85 0 -1.64 0 mirMAP; miRNATAP -0.36 1.0E-5 NA
26 hsa-miR-19a-3p CCND2 2.12 0 -1.64 0 MirTarget; miRNATAP -0.17 1.0E-5 NA
27 hsa-miR-19b-3p CCND2 2.11 0 -1.64 0 miRNAWalker2 validate; MirTarget; miRNATAP -0.19 1.0E-5 NA
28 hsa-miR-20a-5p CCND2 2.65 0 -1.64 0 miRNAWalker2 validate; miRTarBase; miRNATAP -0.28 0 NA
29 hsa-miR-320b CCND2 0.23 0.37882 -1.64 0 mirMAP; miRNATAP -0.12 0.00373 NA
30 hsa-miR-450b-5p CCND2 1.69 0 -1.64 0 MirTarget; PITA; miRNATAP -0.15 9.0E-5 NA
31 hsa-miR-501-5p CCND2 0.41 0.10435 -1.64 0 PITA; mirMAP; miRNATAP -0.14 0.00086 NA
32 hsa-miR-590-3p CCND2 0.84 0.00129 -1.64 0 miRanda; mirMAP -0.13 0.00821 NA
33 hsa-miR-96-5p CCND2 3.04 0 -1.64 0 TargetScan; miRNATAP -0.36 0 NA
34 hsa-miR-421 CCND3 0.17 0.53528 -0.86 1.0E-5 PITA; miRanda -0.12 0.00073 NA
35 hsa-miR-195-5p CCNE1 -1.02 5.0E-5 3 0 miRNAWalker2 validate; MirTarget; miRNATAP -0.52 0 24402230 Furthermore through qPCR and western blot assays we showed that overexpression of miR-195-5p reduced CCNE1 mRNA and protein levels respectively
36 hsa-miR-26a-5p CCNE1 -0.13 0.44003 3 0 miRNAWalker2 validate; miRTarBase; miRNATAP -0.7 0 22094936 Cell cycle regulation and CCNE1 and CDC2 were the only significant overlapping pathway and genes differentially expressed between tumors with high and low levels of miR-26a and EZH2 respectively; Low mRNA levels of EZH2 CCNE1 and CDC2 and high levels of miR-26a are associated with favorable outcome on tamoxifen
37 hsa-miR-497-5p CCNE1 -0.05 0.78621 3 0 MirTarget; miRNATAP -0.5 0 25909221; 24112607; 24909281 The effect of simultaneous overexpression of miR-497 and miR-34a on the inhibition of cell proliferation colony formation and tumor growth and the downregulation of cyclin E1 was stronger than the effect of each miRNA alone; The synergistic actions of miR-497 and miR-34a partly correlated with cyclin E1 levels; These results indicate cyclin E1 is downregulated by both miR-497 and miR-34a which synergistically retard the growth of human lung cancer cells;Western blot assays confirmed that overexpression of miR-497 reduced cyclin E1 protein levels; Inhibited cellular growth suppressed cellular migration and invasion and G1 cell cycle arrest were observed upon overexpression of miR-497 in cells possibly by targeting cyclin E1;miR 497 suppresses proliferation of human cervical carcinoma HeLa cells by targeting cyclin E1; Furthermore the target effect of miR-497 on the CCNE1 was identified by dual-luciferase reporter assay system qRT-PCR and Western blotting; Over-expressed miR-497 in HeLa cells could suppress cell proliferation by targeting CCNE1
38 hsa-miR-26a-5p CCNE2 -0.13 0.44003 2.15 0 miRNAWalker2 validate; miRTarBase; miRNATAP -0.51 0 24116110; 21901171 The loss of miR 26a mediated post transcriptional regulation of cyclin E2 in pancreatic cancer cell proliferation and decreased patient survival; The in vitro and in vivo assays showed that overexpression of miR-26a resulted in cell cycle arrest inhibited cell proliferation and decreased tumor growth which was associated with cyclin E2 downregulation;We also show that enforced expression of miR-26a in AML cells is able to inhibit cell cycle progression by downregulating cyclin E2 expression
39 hsa-miR-30b-5p CCNE2 0.36 0.13803 2.15 0 miRNAWalker2 validate; miRTarBase -0.2 0.0005 22384020 A luciferase-based reporter assay demonstrated that miR-30b post-transcriptionally reduced 27% p = 0.005 of the gene expression by interacting with two binding sites in the 3'-UTR of CCNE2; The upregulation of miR-30b by trastuzumab may play a biological role in trastuzumab-induced cell growth inhibition by targeting CCNE2
40 hsa-miR-34a-5p CCNE2 1.41 0 2.15 0 miRNAWalker2 validate; miRTarBase; miRNATAP -0.2 0.00337 NA
41 hsa-miR-34c-5p CCNE2 -1 0.07244 2.15 0 miRNAWalker2 validate; miRTarBase; PITA; miRanda; miRNATAP -0.11 4.0E-5 NA
42 hsa-miR-23a-3p CCNG1 0.11 0.39309 -0.38 0.02147 MirTarget; miRNATAP -0.18 0.00203 NA
43 hsa-miR-27a-3p CCNG1 0.43 0.00737 -0.38 0.02147 MirTarget; miRNATAP -0.25 0 NA
44 hsa-miR-27b-3p CCNG1 0.24 0.12264 -0.38 0.02147 MirTarget; miRNATAP -0.17 0.00064 26623719 Moreover miR-27b directly targets the 3' untranslated regions 3'-UTRs of CCNG1 a well-known negative regulator of P53 stability; Interestingly miR-27b up-regulation leads to increased miR-508-5p expression and this phenomenon is mediated by CCNG1 and P53
45 hsa-miR-96-5p CCNG1 3.04 0 -0.38 0.02147 MirTarget; TargetScan -0.13 1.0E-5 NA
46 hsa-miR-664a-3p CCNG2 0.44 0.02142 0.22 0.10548 MirTarget; mirMAP -0.16 0 NA
47 hsa-miR-145-5p CDK4 -1.35 0 0.74 1.0E-5 miRNAWalker2 validate; miRTarBase -0.15 0 21092188 Furthermore we found that CDK4 was regulated by miR-145 in cell cycle control
48 hsa-miR-195-5p CDK4 -1.02 5.0E-5 0.74 1.0E-5 miRNAWalker2 validate; miRTarBase -0.11 0.00037 NA
49 hsa-miR-24-3p CDK4 -0.04 0.78587 0.74 1.0E-5 miRNAWalker2 validate; miRTarBase -0.12 0.04666 NA
50 hsa-miR-141-3p CDK6 3.37 0 -0.63 0.01747 TargetScan; miRNATAP -0.16 6.0E-5 NA
51 hsa-miR-21-5p CDK6 4.38 0 -0.63 0.01747 miRNAWalker2 validate; mirMAP -0.15 0.00158 NA
52 hsa-miR-29b-3p CDK6 3.11 0 -0.63 0.01747 miRNAWalker2 validate; miRTarBase; miRNATAP -0.18 4.0E-5 23591808; 23245396; 25472644; 26180082; 27230400; 20086245 Here we have identified the oncogene cyclin-dependent protein kinase 6 CDK6 as a direct target of miR-29b in lung cancer;The IFN-γ-induced G1-arrest of melanoma cells involves down-regulation of CDK6 which we proved to be a direct target of miR-29 in these cells;Moreover miR-29b inhibited the expression of MCL1 and CDK6;Knockdown of NTSR1 increased the expression of miR-29b-1 and miR-129-3p which were responsible for the decreased CDK6 expression;MiR 29b suppresses the proliferation and migration of osteosarcoma cells by targeting CDK6; In this study we investigated the role of miR-29b as a novel regulator of CDK6 using bioinformatics methods; We demonstrated that CDK6 can be downregulated by miR-29b via binding to the 3'-UTR region in osteosarcoma cells; Furthermore we identified an inverse correlation between miR-29b and CDK6 protein levels in osteosarcoma tissues; The results revealed that miR-29b acts as a tumor suppressor of osteosarcoma by targeting CDK6 in the proliferation and migration processes;microRNA expression profile and identification of miR 29 as a prognostic marker and pathogenetic factor by targeting CDK6 in mantle cell lymphoma; Furthermore we demonstrate miR-29 inhibition of CDK6 protein and mRNA levels by direct binding to 3'-untranslated region; Inverse correlation between miR-29 and CDK6 was observed in MCL
53 hsa-miR-34a-5p CDK6 1.41 0 -0.63 0.01747 miRNAWalker2 validate; miRTarBase; miRNATAP -0.24 3.0E-5 26104764; 21702042 The expression of microRNA 34a is inversely correlated with c MET and CDK6 and has a prognostic significance in lung adenocarcinoma patients; We found significant inverse correlations between miR-34a and c-MET R = -0.316 P = 0.028 and CDK6 expression R = -0.4582 P = 0.004;Molecular analyses identified Cdk6 and sirtuin SIRT-1 as being targeted by miR-34a in MI-TCC cells however inhibition of Cdk6 and SIRT-1 was not as effective as pre-miR-34a in mediating chemosensitization
54 hsa-miR-429 CDK6 2.38 0 -0.63 0.01747 mirMAP; miRNATAP -0.15 0.00018 NA
55 hsa-miR-106b-5p CDKN1A 1.47 0 -0.99 0 miRNAWalker2 validate; miRTarBase; MirTarget; miRNATAP -0.23 0 NA
56 hsa-miR-17-5p CDKN1A 2.07 0 -0.99 0 miRNAWalker2 validate; miRTarBase; MirTarget; TargetScan; miRNATAP -0.16 3.0E-5 26482648; 24989082 The low expressions of miR-17 and miR-92 families can maintain cisplatin resistance through the regulation of CDKN1A and RAD21;According to PicTar and Miranda algorithms which predicted CDKN1A p21 as a putative target of miR-17 a luciferase assay was performed and revealed that miR-17 directly targets the 3'-UTR of p21 mRNA
57 hsa-miR-20a-5p CDKN1A 2.65 0 -0.99 0 miRNAWalker2 validate; miRTarBase; MirTarget; miRNATAP -0.14 7.0E-5 26012475 Using the poorly tumorigenic and TGF-β-sensitive FET cell line that expresses low miR-20a levels we first confirmed that miR-20a downmodulated CDKN1A expression both at mRNA and protein level through direct binding to its 3'-UTR; Moreover besides modulating CDKN1A miR-20a blocked TGF-β-induced transactivation of its promoter without affecting the post-receptor activation of Smad3/4 effectors directly; Finally miR-20a abrogated the TGF-β-mediated c-Myc repression a direct inhibitor of the CDKN1A promoter activation most likely by reducing the expression of specific MYC-regulating genes from the Smad/E2F-based core repressor complex
58 hsa-miR-28-5p CDKN1A 1.2 0 -0.99 0 miRNAWalker2 validate; miRTarBase; MirTarget; miRanda; miRNATAP -0.2 0.00151 NA
59 hsa-miR-93-5p CDKN1A 1.51 0 -0.99 0 miRNAWalker2 validate; miRTarBase; MirTarget; miRNATAP -0.17 6.0E-5 25633810 MicroRNA 93 activates c Met/PI3K/Akt pathway activity in hepatocellular carcinoma by directly inhibiting PTEN and CDKN1A; We confirmed that miR-93 directly bound with the 3' untranslated regions of the tumor-suppressor genes PTEN and CDKN1A respectivelyand inhibited their expression; We concluded that miR-93 stimulated cell proliferation migration and invasion through the oncogenic c-Met/PI3K/Akt pathway and also inhibited apoptosis by directly inhibiting PTEN and CDKN1A expression in human HCC
60 hsa-miR-96-5p CDKN1A 3.04 0 -0.99 0 miRNAWalker2 validate; miRTarBase -0.15 1.0E-5 26582573 Upregulation of microRNA 96 and its oncogenic functions by targeting CDKN1A in bladder cancer; Bioinformatics prediction combined with luciferase reporter assay were used to verify whether the cyclin-dependent kinase inhibitor CDKN1A was a potential target gene of miR-96; According to the data of miRTarBase CDKN1A might be a candidate target gene of miR-96; In addition luciferase reporter and Western blot assays respectively demonstrated that miR-96 could bind to the putative seed region in CDKN1A mRNA 3'UTR and significantly reduce the expression level of CDKN1A protein; Moreover we found that the inhibition of miR-96 expression remarkably decreased cell proliferation and promoted cell apoptosis of BC cell lines which was consistent with the findings observed following the introduction of CDKN1A cDNA without 3'UTR restored miR-96; Upregulation of miR-96 may contribute to aggressive malignancy partly through suppressing CDKN1A protein expression in BC cells
61 hsa-miR-98-5p CDKN1A 1.17 0 -0.99 0 miRNAWalker2 validate; MirTarget -0.1 0.024 NA
62 hsa-miR-195-5p CHEK1 -1.02 5.0E-5 1.85 0 MirTarget; miRNATAP -0.35 0 25840419 MiR 195 suppresses non small cell lung cancer by targeting CHEK1; We discovered that CHEK1 was a direct target of miR-195 which decreased CHEK1 expression in lung cancer cells
63 hsa-miR-320a CHEK1 -0.96 0 1.85 0 MirTarget; miRanda -0.28 4.0E-5 NA
64 hsa-miR-497-5p CHEK1 -0.05 0.78621 1.85 0 MirTarget; miRNATAP -0.49 0 24464213 Checkpoint kinase 1 is negatively regulated by miR 497 in hepatocellular carcinoma; In silico analysis showed that CHEK1 was a candidate target of miR-497 which was previously found to be downregulated in HCC by us; To test whether miR-497 could bind to 3'untranslated region 3'UTR of CHEK1 luciferase reporter assay was conducted; The result revealed that miR-497 could bind to the 3'untranslated region 3'UTR of CHEK1 mRNA; Western blot showed that ectopic expression of miR-497 suppressed the CHEK1 expression and inhibition of miR-497 led to significant upregulation of CHEK1; Finally miR-497 expression was measured in the same 30 HCC samples and the correlation between miR-497 and CHEK1 was analyzed; The results indicated that miR-497 was downregulated in HCC and had a significant negative correlation with CHEK1; Taken together these results demonstrated that CHEK1 was negatively regulated by miR-497 and the overexpressed CHEK1 was resulted from the downregulated miR-497 in HCC which provided a potential molecular target for HCC therapy
65 hsa-miR-106a-5p FAS 1.39 6.0E-5 -0.88 0.00034 miRNAWalker2 validate; miRTarBase -0.27 0 22431000; 27142596 miR 106a is frequently upregulated in gastric cancer and inhibits the extrinsic apoptotic pathway by targeting FAS; Bioinformatic analysis combining with validation experiments identified FAS as a direct target of miR-106a; Moreover a significant inverse correlation was found between miR-106a and FAS expression not only in gastric cancer cell lines but also in gastric cancer specimens; Taken together these findings suggest that ectopicly overexpressed miR-106a may play an oncogenic role in gastric carcinogenesis and impair extrinsic apoptotic pathway through targeting FAS;Functional experiment ascertained that miR-106a interacted with FAS and mediated caspase3 pathway
66 hsa-miR-324-3p GADD45B -0.08 0.68923 -1.59 0 MirTarget; miRNATAP -0.15 0.00558 NA
67 hsa-miR-127-3p GADD45G -0.72 0.01927 0.56 0.06996 miRanda; miRNATAP -0.18 0.00011 NA
68 hsa-miR-361-5p IGF1 0.21 0.0801 -0.88 0.00545 PITA; mirMAP -0.26 0.033 NA
69 hsa-miR-450b-5p IGF1 1.69 0 -0.88 0.00545 MirTarget; PITA; mirMAP; miRNATAP -0.16 0.00169 NA
70 hsa-miR-576-5p IGF1 1.03 0 -0.88 0.00545 PITA; mirMAP; miRNATAP -0.32 0 NA
71 hsa-miR-590-3p IGF1 0.84 0.00129 -0.88 0.00545 MirTarget; miRanda; mirMAP; miRNATAP -0.22 0.00113 NA
72 hsa-miR-374a-5p IGFBP3 -0.2 0.29808 1.35 3.0E-5 MirTarget; mirMAP -0.2 0.02606 NA
73 hsa-let-7a-5p MDM4 -1.37 0 0.5 0.00108 MirTarget; TargetScan -0.12 0.00218 NA
74 hsa-miR-361-5p MDM4 0.21 0.0801 0.5 0.00108 miRanda; mirMAP -0.16 0.00809 NA
75 hsa-miR-200b-3p PMAIP1 1.55 0 1.35 2.0E-5 MirTarget; TargetScan -0.25 0 NA
76 hsa-miR-200c-3p PMAIP1 0.38 0.08422 1.35 2.0E-5 miRNAWalker2 validate; miRTarBase; MirTarget -0.31 0 NA
77 hsa-miR-15a-5p PPM1D 1.63 0 -0.84 0 MirTarget; miRNATAP -0.2 0 NA
78 hsa-miR-29a-3p PPM1D 0.1 0.5732 -0.84 0 miRNAWalker2 validate; miRTarBase; MirTarget; miRNATAP -0.13 1.0E-5 NA
79 hsa-miR-29b-3p PPM1D 3.11 0 -0.84 0 MirTarget; miRNATAP -0.18 0 NA
80 hsa-miR-103a-3p PTEN 0.54 2.0E-5 -0.42 0.00014 miRNAWalker2 validate; miRTarBase -0.18 1.0E-5 26511107; 24828205 LncRNA GAS5 induces PTEN expression through inhibiting miR 103 in endometrial cancer cells; To investigate the expression of GAS5 PTEN and miR-103 RT-PCR was performed; Finally we found that miR-103 mimic could decrease the mRNA and protein levels of PTEN through luciferase reporter assay and western blotting and GAS5 plasmid may reverse this regulation effect in endometrial cancer cells; Through inhibiting the expression of miR-103 GAS5 significantly enhanced the expression of PTEN to promote cancer cell apoptosis and thus could be an important mediator in the pathogenesis of endometrial cancer;Our data collectively demonstrate that miR-103 is an oncogene miRNA that promotes colorectal cancer proliferation and migration through down-regulation of the tumor suppressor genes DICER and PTEN
81 hsa-miR-106b-5p PTEN 1.47 0 -0.42 0.00014 miRNAWalker2 validate; miRTarBase; miRNATAP -0.1 3.0E-5 24842611; 26238857; 26722252 MicroRNA 106b in cancer associated fibroblasts from gastric cancer promotes cell migration and invasion by targeting PTEN;We further identified PTEN and p21 as novel direct targets of miR-106b by using target prediction algorithms and a luciferase assay; Overexpression of miR-106b reduced the expression of PTEN and p21 and increased the expression of p-AKT which is a downstream of PTEN; Restoring the expression of PTEN or p21 in stably miR-106b-overexpressed cells could rescue the effect of miR-106b on cell radioresistance; These observations illustrated that miR-106b could induce cell radioresistance by directly targeting PTEN and p21 this process was accompanied by tumour-initiating cell capacity enhancement which is universally confirmed to be associated with radioresistance;Cantharidin modulates the E2F1/MCM7 miR 106b 93/p21 PTEN signaling axis in MCF 7 breast cancer cells
82 hsa-miR-130a-3p PTEN 0.88 0.00016 -0.42 0.00014 MirTarget; miRNATAP -0.1 0 24490491; 27062783; 22614869; 26837847; 27040383; 27035216; 26043084 Down-regulated miR-130a did not affect cell proliferations but enhanced the sensitivity of the cells to cisplatin inhibited the expressions of MDR1 mRNA and P-gp and increased the expression of PTEN proteins; MiR-130a inhibitor can reverse the cisplatin resistance by upregulating the expression of PTEN proteins and down-regulating P-gp in A2780 cell lines;Platinum-resistant patients had significantly higher levels of expression of miR-130a and BCL-2 and lower level of PTEN than platinum-sensitive patients P < 0.05; MiR-130a may mediate the generation of platinum resistance in epithelial ovarian cancer through inhibiting PTEN to activate PI3K/AKT signaling pathway and increasing BCL-2 to inhibit tumor cell apoptosis;We found that miR-130a was upregulated in SKOV3/CIS compared to the parental SKOV3 cells and PTEN was predicted to be the potential target of miR-130a;The miR 130 family promotes cell migration and invasion in bladder cancer through FAK and Akt phosphorylation by regulating PTEN; In clinical bladder cancer specimens downregulation of PTEN was found to be closely correlated with miR-130 family expression levels;In addition by targeting PTEN 3' untranslated region miR-130a might increase cell growth and initiate protein kinase B AKT pathway activation;MicroRNA 130a promotes the metastasis and epithelial mesenchymal transition of osteosarcoma by targeting PTEN; MiR-130a exerted promoting effects on metastatic behavior and EMT of osteosarcoma cells through suppressing PTEN expression;This role of miR-130a may be achieved by regulating the MDR1 and PTEN gene expression
83 hsa-miR-130b-3p PTEN 1.83 0 -0.42 0.00014 MirTarget; miRNATAP -0.11 0 26837847; 25637514 The miR 130 family promotes cell migration and invasion in bladder cancer through FAK and Akt phosphorylation by regulating PTEN; In clinical bladder cancer specimens downregulation of PTEN was found to be closely correlated with miR-130 family expression levels;MiR 130b plays an oncogenic role by repressing PTEN expression in esophageal squamous cell carcinoma cells; We confirmed that miR-130b interacted with the 3'-untranslated region of PTEN and that an increase in the expression level of miR-130b negatively affected the protein level of PTEN; However the dysregulation of miR-130b had no obvious impact on PTEN mRNA; As Akt is a downstream effector of PTEN we explored if miR-130b affected Akt expression and found that miR-130b indirectly regulated the level of phosphorylated Akt while total Akt protein remained unchanged; The results indicate that miR-130b plays an oncogenic role in ESCC cells by repressing PTEN expression and Akt phosphorylation which would be helpful in developing miRNA-based treatments for ESCC
84 hsa-miR-141-3p PTEN 3.37 0 -0.42 0.00014 miRNAWalker2 validate; miRTarBase; TargetScan; miRNATAP -0.1 0 27644195; 24742567 Involvement of microRNA 141 3p in 5 fluorouracil and oxaliplatin chemo resistance in esophageal cancer cells via regulation of PTEN; Western blot exhibited altered protein levels of PTEN Akt and PI3k with miR-141-3p inhibitor; An inverse correlation between PTEN expression and miR-141-3p expression was also observed in tissue samples; Our study demonstrated that miR-141-3p contributed to an acquired chemo-resistance through PTEN modulation both in vitro and in vivo;PTEN might be a potential target of miR-141 and miR-200a in endometrial carcinogenesis
85 hsa-miR-148b-3p PTEN 0.48 0.00265 -0.42 0.00014 MirTarget; miRNATAP -0.13 3.0E-5 NA
86 hsa-miR-17-5p PTEN 2.07 0 -0.42 0.00014 miRNAWalker2 validate; miRTarBase; TargetScan; miRNATAP -0.19 0 27400681; 23391506; 23133552; 26629823; 24462867; 26318586; 26215320; 25634356; 26500892; 24912422; 23418359 GFRα2 prompts cell growth and chemoresistance through down regulating tumor suppressor gene PTEN via Mir 17 5p in pancreatic cancer; Mechanically we discovered that high GFRα2 expression level leads to PTEN inactivation via enhancing Mir-17-5p level;We found that these phenotypes were the results of miR-17 targeting PTEN;PTEN mRNA correlated inversely with miR-92a and members of the miR-17 and miR-130/301 families;We hypothesized that knocking down the oncogenic microRNA oncomiR miR-17-5p might restore the expression levels of PDCD4 and PTEN tumor suppressor proteins illustrating a route to oligonucleotide therapy of TNBC; Contrary to conventional wisdom antisense knockdown of oncomiR miR-17-5p guide strand reduced PDCD4 and PTEN proteins by 1.8±0.3 fold in human TNBC cells instead of raising them; Bioinformatics analysis and folding energy calculations revealed that mRNA targets of miR-17-5p guide strand such as PDCD4 and PTEN could also be regulated by miR-17-3p passenger strand;miR 17 inhibitor suppressed osteosarcoma tumor growth and metastasis via increasing PTEN expression; Expression of miR-17 was negatively correlated with PTEN in OS tissues;Resveratrol and pterostilbene epigenetically restore PTEN expression by targeting oncomiRs of the miR 17 family in prostate cancer; 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;In addition ERβ expression significantly increased in calycosin-treated HCT-116 cells followed by a decrease of miR-17 and up-regulation of PTEN; Our results indicate that calycosin has an inhibitory effect on CRC which might be obtained by ERβ-mediated regulation of miR-17 and PTEN expression;The High Expression of the microRNA 17 92 Cluster and its Paralogs and the Downregulation of the Target Gene PTEN Is Associated with Primary Cutaneous B Cell Lymphoma Progression;MicroRNA 17 5p induces drug resistance and invasion of ovarian carcinoma cells by targeting PTEN signaling; miR-17-5p activates AKT by downregulation of PTEN in ovarian cancer cells;MicroRNA 17 5p promotes chemotherapeutic drug resistance and tumour metastasis of colorectal cancer by repressing PTEN expression; We found that PTEN was a target of miR-17-5p in the colon cancer cells and their context-specific interactions were responsible for multiple drug-resistance; Chemotherapy was found to increase the expression levels of miR-17-5p which further repressed PTEN levels contributing to the development of chemo-resistance; MiR-17-5p is a predictive factor for chemotherapy response and a prognostic factor for overall survival in CRC which is due to its regulation of PTEN expression;The mature miR-17-5p exerted this function by repressing the expression of PTEN
87 hsa-miR-186-5p PTEN 0.85 0 -0.42 0.00014 mirMAP; miRNATAP -0.19 0 NA
88 hsa-miR-18a-5p PTEN 1.37 1.0E-5 -0.42 0.00014 miRNAWalker2 validate; miRTarBase -0.14 0 24681249; 27291152 However higher levels of the miR-17~92 cluster switched from PTEN to oncogenes including Ctnnb1 β-catenin via miR-18a which resulted in inhibition of tumor growth and metastasis;miR 18a promotes cell proliferation of esophageal squamous cell carcinoma cells by increasing cylin D1 via regulating PTEN PI3K AKT mTOR signaling axis
89 hsa-miR-193a-3p PTEN 0.55 0.0319 -0.42 0.00014 PITA; miRanda -0.1 0 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
90 hsa-miR-19a-3p PTEN 2.12 0 -0.42 0.00014 miRNAWalker2 validate; miRTarBase; MirTarget; miRNATAP -0.15 0 26098000; 27289489; 27445062; 24831732; 21853360; 24681249; 25107371 Moreover siRNA-mediated knockdown of PTEN a target of miR-19 also resulted in EMT migration and invasion of A549 and HCC827 cells suggesting that PTEN is involved in miR-19-induced EMT migration and invasion of lung cancer cells;Transfection of miR-19a and -19b mimics reversed the up-regulations of IGF2R and PTEN gene expression and abrogated the GSE induced anti-proliferative response;The target genes of miR-19a such as ABCA1 and PTEN that had been suppressed by miR recovered their expression through CAP treatment;Meanwhile BPA-induced upregulation of oncogenic miR-19a and miR-19b and the dysregulated expression of miR-19-related downstream proteins including PTEN p-AKT p-MDM2 p53 and proliferating cell nuclear antigen were reversed by curcumin;Regulation of miR 19 to breast cancer chemoresistance through targeting PTEN; Expression levels of miR-19 in MDR cells were inversely consistent with those of PTEN; Our findings demonstrate for the first time involvement of miR-19 in multidrug resistance through modulation of PTEN and suggest that miR-19 may be a potential target for preventing and reversing MDR in tumor cells;miR-19 in the context of the miR-17~92 cluster at medium levels promoted tumor metastasis through induction of Wnt/β-catenin-mediated epithelial-mesenchymal transition by targeting to the tumor-suppressor gene PTEN;The target of miR-19a was identified by western blot and whether its regulatory role depends on its target was improved by a rescue experiment with miR-19a mimic and PTEN expression plasmid; Meanwhile gain or loss of function of miR-19a demonstrated that miR-19a can promote cell growth of bladder cancer cells and the further mechanism studies indicated that its oncogenic role was dependent on targeting PTEN; The oncogenic role of miR19a in bladder cancer was dependent on targeting PTEN
91 hsa-miR-19b-3p PTEN 2.11 0 -0.42 0.00014 miRNAWalker2 validate; miRTarBase; MirTarget; miRNATAP -0.14 0 26098000; 24831732; 21853360; 24681249 Moreover siRNA-mediated knockdown of PTEN a target of miR-19 also resulted in EMT migration and invasion of A549 and HCC827 cells suggesting that PTEN is involved in miR-19-induced EMT migration and invasion of lung cancer cells;Meanwhile BPA-induced upregulation of oncogenic miR-19a and miR-19b and the dysregulated expression of miR-19-related downstream proteins including PTEN p-AKT p-MDM2 p53 and proliferating cell nuclear antigen were reversed by curcumin;Regulation of miR 19 to breast cancer chemoresistance through targeting PTEN; Expression levels of miR-19 in MDR cells were inversely consistent with those of PTEN; Our findings demonstrate for the first time involvement of miR-19 in multidrug resistance through modulation of PTEN and suggest that miR-19 may be a potential target for preventing and reversing MDR in tumor cells;miR-19 in the context of the miR-17~92 cluster at medium levels promoted tumor metastasis through induction of Wnt/β-catenin-mediated epithelial-mesenchymal transition by targeting to the tumor-suppressor gene PTEN
92 hsa-miR-20a-5p PTEN 2.65 0 -0.42 0.00014 miRNAWalker2 validate; miRTarBase; miRNATAP -0.16 0 26031366 The expression of miR-20a and PTEN were detected in HCC cell lines and paired primary tissues by quantitative real-time polymerase chain reaction; MiR-20a levels were increased in HCC cell lines and tissues whereas PTEN was inversely correlated with it; PTEN was identified as a direct functional target of miR-20a for the induction of radioresistance
93 hsa-miR-25-3p PTEN 0.36 0.01637 -0.42 0.00014 miRTarBase; MirTarget; miRNATAP -0.12 0.00041 NA
94 hsa-miR-26b-5p PTEN 0.72 5.0E-5 -0.42 0.00014 MirTarget; miRNATAP -0.1 0.00034 26068649 Down regulation of microRNA 26b modulates non small cell lung cancer cells chemoresistance and migration through the association of PTEN; It indicates that miR-26b may regulate NSCLC migration and chemosensitivity through the regulation of PTEN
95 hsa-miR-301a-3p PTEN 2.7 0 -0.42 0.00014 MirTarget; miRNATAP -0.14 0 24315818; 26846737 Upregulated microRNA 301a in breast cancer promotes tumor metastasis by targeting PTEN and activating Wnt/β catenin signaling; Furthermore miR-301a directly targeted and suppressed PTEN one negative regulator of the Wnt/β-catenin signaling cascade; These results demonstrate that miR-301a maintains constitutively activated Wnt/β-catenin signaling by directly targeting PTEN which promotes breast cancer invasion and metastasis;MicroRNA 301a promotes cell proliferation via PTEN targeting in Ewing's sarcoma cells; Our results demonstrated the novel mechanism controlling PTEN expression via miR-301a in ES cells
96 hsa-miR-454-3p PTEN 1.49 0 -0.42 0.00014 MirTarget; miRNATAP -0.21 0 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
97 hsa-miR-92a-3p PTEN -0.14 0.49341 -0.42 0.00014 MirTarget; miRNATAP -0.12 0 26432332; 25515201; 24137349; 23546593; 23133552; 24026406 Downregulation of PTEN could mimic the same effects of miR-92a mimic in NSCLC cells and rescue the effects on NSCLC cells induced by miR-92a inhibitor; Taken together these findings suggested that miR-92a could promote growth metastasis and chemoresistance in NSCLC cells at least partially by targeting PTEN;MiR 92a Promotes Cell Metastasis of Colorectal Cancer Through PTEN Mediated PI3K/AKT Pathway; The expression of miR-92a PTEN and E-cadherin was analyzed by real-time PCR; In addition there was a negative correlation between levels of miR-92a and the PTEN gene p < 0.0001; The association of levels of miR-92a and PTEN with tumor cell migration in CRC was also confirmed in CRC cell models;MicroRNA miR-92 is overexpressed in a number of tumors and has been proven to negatively regulate a number of tumor suppressor genes including phosphatase and tensin homologue PTEN; PTEN protein expression was decreased in the SiHa cells that were transfected with the miR-92 mimic; The data indicated that miR-92 may increase the migration and invasion of SiHa cells partially through the downregulation of PTEN protein expression;Expression and significance of PTEN and miR 92 in hepatocellular carcinoma; Immunohistochemistry streptavidin-peroxidase SP and quantitative reverse transcriptase-polymerase chain reaction qRT‑PCR were used to detect the expression of PTEN and miR-92 in 15 cases of HCC and the corresponding paracancerous tissues; The correlation between PTEN and miR-92 was analyzed; Additionally the mRNA levels of PTEN and miR-92 showed a significantly negative correlation with each other r=-0.858 P<0.05; In conclusion PTEN and miR-92 have different roles in the development of HCC; The combined detection of PTEN and miR-92 may provide critical clinical evidence for the early diagnosis and prognosis of HCC;PTEN mRNA correlated inversely with miR-92a and members of the miR-17 and miR-130/301 families;The expression levels of miR-92a and phosphatase and tensin homologue PTEN were detected by qRT-PCR and western blot; In addition the regulation of PTEN by miR-92a was evaluated by qRT-PCR western blot and luciferase reporter assays; There was an inverse correlation between the levels of miR-92a and PTEN in CRC tissues; The overexpression of miR-92a in CRC cells decreased PTEN expression at the translational level and decreased PTEN-driven luciferase-reporter activity; Our results demonstrated that miR-92a induced EMT and regulated cell growth migration and invasion in the SW480 cells at least partially via suppression of PTEN expression
98 hsa-miR-93-5p PTEN 1.51 0 -0.42 0.00014 miRNAWalker2 validate; miRTarBase; miRNATAP -0.21 0 25633810; 26243299; 22465665; 26087719 MicroRNA 93 activates c Met/PI3K/Akt pathway activity in hepatocellular carcinoma by directly inhibiting PTEN and CDKN1A; We confirmed that miR-93 directly bound with the 3' untranslated regions of the tumor-suppressor genes PTEN and CDKN1A respectivelyand inhibited their expression; We concluded that miR-93 stimulated cell proliferation migration and invasion through the oncogenic c-Met/PI3K/Akt pathway and also inhibited apoptosis by directly inhibiting PTEN and CDKN1A expression in human HCC;microRNA 93 promotes cell proliferation via targeting of PTEN in Osteosarcoma cells; An miRNA miR-93 was significantly up-regulated whereas phosphatase and tensin homologue PTEN expression was significantly down-regulated in all tested OS cells when compared with hMSCs; Ectopic expression of miR-93 decreased PTEN protein levels; Taking these observations together miR-93 can be seen to play a critical role in carcinogenesis through suppression of PTEN and may serve as a therapeutic target for the treatment of OS;Furthermore we found that miR-93 can directly target PTEN and participates in the regulation of the AKT signaling pathway; MiR-93 inversely correlates with PTEN expression in CDDP-resistant and sensitive human ovarian cancer tissues;Furthermore our study found berberine could inhibit miR-93 expression and function in ovarian cancer as shown by an increase of its target PTEN an important tumor suppressor in ovarian cancer; More importantly A2780 cells that were treated with PTEN siRNA had a survival pattern that is similar to cells with miR-93 overexpression
99 hsa-let-7a-5p RRM2 -1.37 0 2.87 0 miRNAWalker2 validate; TargetScan; miRNATAP -0.58 0 NA
100 hsa-let-7b-5p RRM2 -1.62 0 2.87 0 miRNAWalker2 validate; miRNATAP -0.64 0 NA
101 hsa-let-7g-5p RRM2 0.08 0.58308 2.87 0 miRNAWalker2 validate; miRNATAP -0.31 0.0021 NA
102 hsa-miR-142-3p RRM2B 3.98 0 -0.56 0.00033 miRNAWalker2 validate; miRanda -0.12 0 NA
103 hsa-miR-590-5p RRM2B 2.07 0 -0.56 0.00033 miRanda; mirMAP -0.28 0 NA
104 hsa-miR-30c-5p SERPINE1 -0.33 0.1236 -0.11 0.73683 miRNAWalker2 validate; miRTarBase; MirTarget; miRNATAP -0.28 0.00011 NA
105 hsa-miR-15a-5p SESN1 1.63 0 -1.81 0 MirTarget; miRNATAP -0.15 0.00123 NA
106 hsa-miR-28-5p SESN1 1.2 0 -1.81 0 PITA; miRanda; miRNATAP -0.21 0.001 NA
107 hsa-miR-424-5p SESN1 1.26 1.0E-5 -1.81 0 MirTarget; miRNATAP -0.12 0.00012 NA
108 hsa-miR-17-5p SESN3 2.07 0 -0.1 0.73838 MirTarget; TargetScan -0.32 0 NA
109 hsa-miR-25-3p SESN3 0.36 0.01637 -0.1 0.73838 MirTarget; miRNATAP -0.26 0.0033 NA
110 hsa-miR-29a-5p SESN3 1.9 0 -0.1 0.73838 MirTarget; mirMAP -0.22 9.0E-5 NA
111 hsa-miR-32-5p SESN3 0.88 6.0E-5 -0.1 0.73838 MirTarget; miRNATAP -0.14 0.03723 NA
112 hsa-miR-320b SESN3 0.23 0.37882 -0.1 0.73838 miRanda; mirMAP -0.17 0.00129 NA
113 hsa-miR-589-3p SESN3 1.34 2.0E-5 -0.1 0.73838 MirTarget; mirMAP -0.11 0.00909 NA
114 hsa-miR-590-3p SESN3 0.84 0.00129 -0.1 0.73838 miRNAWalker2 validate; MirTarget; miRanda -0.28 1.0E-5 NA
115 hsa-miR-7-1-3p SESN3 2.61 0 -0.1 0.73838 MirTarget; mirMAP -0.19 0.0011 NA
116 hsa-miR-92a-3p SESN3 -0.14 0.49341 -0.1 0.73838 MirTarget; miRNATAP -0.26 9.0E-5 NA
117 hsa-miR-96-5p SESN3 3.04 0 -0.1 0.73838 MirTarget; TargetScan -0.19 0.00013 NA
118 hsa-miR-19a-3p THBS1 2.12 0 -0.93 0.0014 MirTarget; mirMAP -0.32 0 NA
119 hsa-miR-19b-3p THBS1 2.11 0 -0.93 0.0014 MirTarget; mirMAP -0.39 0 NA
120 hsa-miR-338-3p THBS1 0.73 0.05063 -0.93 0.0014 MirTarget; PITA; miRanda -0.14 0.00014 NA
121 hsa-miR-590-5p THBS1 2.07 0 -0.93 0.0014 miRanda; mirMAP -0.25 3.0E-5 NA
122 hsa-miR-7-1-3p THBS1 2.61 0 -0.93 0.0014 MirTarget; mirMAP -0.3 0 NA
123 hsa-miR-429 ZMAT3 2.38 0 -0.32 0.07814 MirTarget; miRNATAP -0.1 0.00011 NA
124 hsa-miR-501-5p ZMAT3 0.41 0.10435 -0.32 0.07814 MirTarget; mirMAP -0.22 0 NA
125 hsa-miR-590-3p ZMAT3 0.84 0.00129 -0.32 0.07814 mirMAP; miRNATAP -0.14 0.00018 NA
NumGOOverlapSizeP ValueAdj. P Value
1 REGULATION OF CELL CYCLE 19 949 2.729e-19 1.27e-15
2 CELL CYCLE 17 1316 7.892e-14 1.836e-10
3 REGULATION OF CYCLIN DEPENDENT PROTEIN KINASE ACTIVITY 8 97 6.544e-13 1.015e-09
4 CELL CYCLE PROCESS 15 1081 1.721e-12 2.002e-09
5 REGULATION OF PROTEIN MODIFICATION PROCESS 17 1710 5.568e-12 5.182e-09
6 MITOTIC CELL CYCLE 13 766 7.593e-12 5.889e-09
7 REGULATION OF KINASE ACTIVITY 13 776 8.935e-12 5.939e-09
8 REGULATION OF PROTEIN SERINE THREONINE KINASE ACTIVITY 11 470 1.61e-11 9.362e-09
9 REGULATION OF PHOSPHORUS METABOLIC PROCESS 16 1618 3.736e-11 1.931e-08
10 CELL CYCLE PHASE TRANSITION 9 255 4.323e-11 2.012e-08
11 REGULATION OF TRANSFERASE ACTIVITY 13 946 1.057e-10 4.47e-08
12 CELL CYCLE G1 S PHASE TRANSITION 7 111 1.44e-10 4.787e-08
13 G1 S TRANSITION OF MITOTIC CELL CYCLE 7 111 1.44e-10 4.787e-08
14 REGULATION OF CELL DEATH 15 1472 1.408e-10 4.787e-08
15 REGULATION OF CELL PROLIFERATION 15 1496 1.769e-10 5.487e-08
16 NEGATIVE REGULATION OF CELL CYCLE 10 433 1.89e-10 5.496e-08
17 RESPONSE TO OXYGEN LEVELS 9 311 2.524e-10 6.524e-08
18 POSITIVE REGULATION OF CELL DEATH 11 605 2.386e-10 6.524e-08
19 POSITIVE REGULATION OF PROTEIN METABOLIC PROCESS 14 1492 2.307e-09 5.65e-07
20 RESPONSE TO ABIOTIC STIMULUS 12 1024 4.323e-09 1.006e-06
21 CELL DIVISION 9 460 7.806e-09 1.73e-06
22 NEGATIVE REGULATION OF CELL PROLIFERATION 10 643 8.557e-09 1.81e-06
23 REGULATION OF EXTRINSIC APOPTOTIC SIGNALING PATHWAY VIA DEATH DOMAIN RECEPTORS 5 55 1.223e-08 2.392e-06
24 POSITIVE REGULATION OF CELL CYCLE 8 332 1.234e-08 2.392e-06
25 RESPONSE TO STEROID HORMONE 9 497 1.525e-08 2.839e-06
26 RESPONSE TO ALCOHOL 8 362 2.416e-08 4.324e-06
27 CELLULAR RESPONSE TO STRESS 13 1565 4.813e-08 8.295e-06
28 REGULATION OF EXTRINSIC APOPTOTIC SIGNALING PATHWAY 6 153 5.955e-08 9.896e-06
29 POSITIVE REGULATION OF PHOSPHATE METABOLIC PROCESS 11 1036 6.502e-08 1.008e-05
30 POSITIVE REGULATION OF PHOSPHORUS METABOLIC PROCESS 11 1036 6.502e-08 1.008e-05
31 REGENERATION 6 161 8.064e-08 1.194e-05
32 RESPONSE TO X RAY 4 30 8.212e-08 1.194e-05
33 REGULATION OF FIBROBLAST PROLIFERATION 5 81 8.783e-08 1.238e-05
34 RESPONSE TO DRUG 8 431 9.283e-08 1.27e-05
35 ORGAN REGENERATION 5 83 9.934e-08 1.321e-05
36 RESPONSE TO CORTICOSTEROID 6 176 1.368e-07 1.768e-05
37 RESPONSE TO KETONE 6 182 1.668e-07 2.042e-05
38 POSITIVE REGULATION OF PROTEIN MODIFICATION PROCESS 11 1135 1.644e-07 2.042e-05
39 RESPONSE TO LIPID 10 888 1.791e-07 2.083e-05
40 POSITIVE REGULATION OF CYCLIN DEPENDENT PROTEIN KINASE ACTIVITY 4 36 1.755e-07 2.083e-05
41 POSITIVE REGULATION OF MOLECULAR FUNCTION 13 1791 2.361e-07 2.631e-05
42 RESPONSE TO ORGANIC CYCLIC COMPOUND 10 917 2.414e-07 2.631e-05
43 CELL CYCLE CHECKPOINT 6 194 2.432e-07 2.631e-05
44 POSITIVE REGULATION OF CATALYTIC ACTIVITY 12 1518 3.383e-07 3.578e-05
45 CELLULAR RESPONSE TO DNA DAMAGE STIMULUS 9 720 3.608e-07 3.707e-05
46 DNA REPLICATION 6 208 3.664e-07 3.707e-05
47 NEGATIVE REGULATION OF CELL CYCLE PROCESS 6 214 4.33e-07 4.287e-05
48 RESPONSE TO ESTROGEN 6 218 4.827e-07 4.679e-05
49 REGULATION OF APOPTOTIC SIGNALING PATHWAY 7 363 5.221e-07 4.958e-05
50 CELL DEATH 10 1001 5.421e-07 5.045e-05
51 RESPONSE TO UV 5 126 8.018e-07 7.315e-05
52 POSITIVE REGULATION OF FIBROBLAST PROLIFERATION 4 53 8.582e-07 7.535e-05
53 POSITIVE REGULATION OF EXTRINSIC APOPTOTIC SIGNALING PATHWAY 4 53 8.582e-07 7.535e-05
54 POSITIVE REGULATION OF CELL CYCLE PROCESS 6 247 1.002e-06 8.632e-05
55 POSITIVE REGULATION OF TRANSFERASE ACTIVITY 8 616 1.394e-06 0.000118
56 CELLULAR RESPONSE TO EXTERNAL STIMULUS 6 264 1.475e-06 0.0001204
57 AGING 6 264 1.475e-06 0.0001204
58 RESPONSE TO NITROGEN COMPOUND 9 859 1.576e-06 0.0001264
59 RESPONSE TO ESTRADIOL 5 146 1.661e-06 0.0001288
60 POSITIVE REGULATION OF EXTRINSIC APOPTOTIC SIGNALING PATHWAY VIA DEATH DOMAIN RECEPTORS 3 17 1.649e-06 0.0001288
61 NEGATIVE REGULATION OF CELL DEATH 9 872 1.785e-06 0.0001361
62 RESPONSE TO EXTRACELLULAR STIMULUS 7 441 1.916e-06 0.0001438
63 RESPONSE TO HORMONE 9 893 2.173e-06 0.000158
64 REGULATION OF RESPONSE TO STRESS 11 1468 2.143e-06 0.000158
65 RESPONSE TO EXTERNAL STIMULUS 12 1821 2.38e-06 0.0001703
66 POSITIVE REGULATION OF PROTEIN SERINE THREONINE KINASE ACTIVITY 6 289 2.492e-06 0.0001757
67 NEGATIVE REGULATION OF CELL CYCLE ARREST 3 20 2.757e-06 0.0001915
68 REGULATION OF MITOTIC CELL CYCLE 7 468 2.841e-06 0.0001944
69 POSITIVE REGULATION OF MAPK CASCADE 7 470 2.922e-06 0.000197
70 POSITIVE REGULATION OF KINASE ACTIVITY 7 482 3.451e-06 0.0002294
71 RESPONSE TO INCREASED OXYGEN LEVELS 3 23 4.271e-06 0.000276
72 RESPONSE TO HYPEROXIA 3 23 4.271e-06 0.000276
73 RESPONSE TO METAL ION 6 333 5.632e-06 0.000359
74 RESPONSE TO CORTICOSTERONE 3 26 6.253e-06 0.0003932
75 REGULATION OF INTRACELLULAR SIGNAL TRANSDUCTION 11 1656 6.928e-06 0.0004298
76 REGULATION OF CELL MATRIX ADHESION 4 90 7.227e-06 0.0004425
77 NEGATIVE REGULATION OF MITOTIC CELL CYCLE 5 199 7.566e-06 0.0004572
78 NEGATIVE REGULATION OF APOPTOTIC SIGNALING PATHWAY 5 200 7.753e-06 0.0004625
79 REGULATION OF CELL CYCLE PROCESS 7 558 9.012e-06 0.0005308
80 NEGATIVE REGULATION OF CELL MATRIX ADHESION 3 30 9.727e-06 0.0005658
81 NEGATIVE REGULATION OF EXTRINSIC APOPTOTIC SIGNALING PATHWAY 4 98 1.014e-05 0.0005684
82 RESPONSE TO OXYGEN CONTAINING COMPOUND 10 1381 9.899e-06 0.0005684
83 NEGATIVE REGULATION OF CELL CYCLE G1 S PHASE TRANSITION 4 98 1.014e-05 0.0005684
84 NEGATIVE REGULATION OF CYCLIN DEPENDENT PROTEIN KINASE ACTIVITY 3 32 1.186e-05 0.000657
85 T CELL HOMEOSTASIS 3 34 1.428e-05 0.0007819
86 REGULATION OF CELL CYCLE ARREST 4 108 1.49e-05 0.0008061
87 RESPONSE TO ENDOGENOUS STIMULUS 10 1450 1.521e-05 0.0008134
88 RESPONSE TO MINERALOCORTICOID 3 35 1.561e-05 0.0008253
89 POSITIVE REGULATION OF INTRACELLULAR SIGNAL TRANSDUCTION 8 876 1.865e-05 0.0009751
90 RESPONSE TO RADIATION 6 413 1.916e-05 0.0009907
91 POSITIVE REGULATION OF MITOTIC CELL CYCLE 4 123 2.488e-05 0.001272
92 REGULATION OF MAPK CASCADE 7 660 2.669e-05 0.00135
93 SIGNAL TRANSDUCTION BY P53 CLASS MEDIATOR 4 127 2.821e-05 0.001411
94 PROTEIN STABILIZATION 4 131 3.186e-05 0.001577
95 REGULATION OF CELLULAR RESPONSE TO STRESS 7 691 3.58e-05 0.001753
96 PHOSPHATE CONTAINING COMPOUND METABOLIC PROCESS 11 1977 3.735e-05 0.00181
97 CIRCADIAN RHYTHM 4 137 3.797e-05 0.001821
98 RESPONSE TO LIGHT STIMULUS 5 280 3.917e-05 0.00186
99 REGULATION OF EPITHELIAL CELL PROLIFERATION 5 285 4.262e-05 0.002003
100 REGULATION OF SMOOTH MUSCLE CELL MIGRATION 3 49 4.336e-05 0.002018
101 RESPONSE TO INORGANIC SUBSTANCE 6 479 4.402e-05 0.002028
102 CELLULAR RESPONSE TO OXYGEN LEVELS 4 143 4.49e-05 0.002048
103 APOPTOTIC SIGNALING PATHWAY 5 289 4.554e-05 0.002057
104 LYMPHOCYTE HOMEOSTASIS 3 50 4.609e-05 0.002062
105 RESPONSE TO IONIZING RADIATION 4 145 4.74e-05 0.0021
106 NEGATIVE REGULATION OF CELL CYCLE PHASE TRANSITION 4 146 4.869e-05 0.002117
107 DNA INTEGRITY CHECKPOINT 4 146 4.869e-05 0.002117
108 REGULATION OF CELL CYCLE G1 S PHASE TRANSITION 4 147 5e-05 0.002154
109 RHYTHMIC PROCESS 5 298 5.268e-05 0.002249
110 NEGATIVE REGULATION OF CELL SUBSTRATE ADHESION 3 53 5.493e-05 0.002303
111 INTRINSIC APOPTOTIC SIGNALING PATHWAY BY P53 CLASS MEDIATOR 3 53 5.493e-05 0.002303
112 CELL CYCLE ARREST 4 154 5.994e-05 0.00249
113 NEGATIVE REGULATION OF RESPONSE TO STIMULUS 9 1360 6.404e-05 0.002629
114 DNA METABOLIC PROCESS 7 758 6.442e-05 0.002629
115 REGULATION OF SIGNAL TRANSDUCTION BY P53 CLASS MEDIATOR 4 162 7.297e-05 0.002953
116 REGULATION OF CELL CYCLE PHASE TRANSITION 5 321 7.491e-05 0.003005
117 REGULATION OF EPITHELIAL CELL APOPTOTIC PROCESS 3 59 7.58e-05 0.003015
118 LEUKOCYTE HOMEOSTASIS 3 60 7.972e-05 0.003143
119 RESPONSE TO CARBOHYDRATE 4 168 8.403e-05 0.003286
120 NEGATIVE REGULATION OF PROTEIN METABOLIC PROCESS 8 1087 8.69e-05 0.00337
121 POSITIVE REGULATION OF APOPTOTIC SIGNALING PATHWAY 4 171 8.999e-05 0.003461
122 REGULATION OF CELL SUBSTRATE ADHESION 4 173 9.413e-05 0.00359
123 ACTIVATION OF MAPKKK ACTIVITY 2 11 0.0001031 0.003902
124 CELL AGING 3 67 0.0001109 0.00416
125 POSITIVE REGULATION OF CELL CYCLE PHASE TRANSITION 3 68 0.0001159 0.004313
126 DEOXYRIBONUCLEOTIDE BIOSYNTHETIC PROCESS 2 12 0.0001237 0.004496
127 REPLICATIVE SENESCENCE 2 12 0.0001237 0.004496
128 POSITIVE REGULATION OF INSULIN LIKE GROWTH FACTOR RECEPTOR SIGNALING PATHWAY 2 12 0.0001237 0.004496
129 CELLULAR RESPONSE TO EXTRACELLULAR STIMULUS 4 188 0.0001298 0.00468
130 RESPONSE TO NUTRIENT 4 191 0.0001379 0.004936
131 HIPPOCAMPUS DEVELOPMENT 3 73 0.0001431 0.005045
132 G1 DNA DAMAGE CHECKPOINT 3 73 0.0001431 0.005045
133 RESPONSE TO COBALT ION 2 13 0.000146 0.005109
134 NEGATIVE REGULATION OF CELL COMMUNICATION 8 1192 0.0001653 0.00574
135 REGULATION OF FIBRINOLYSIS 2 14 0.0001702 0.005805
136 POSITIVE REGULATION OF P38MAPK CASCADE 2 14 0.0001702 0.005805
137 RESPONSE TO BIOTIC STIMULUS 7 886 0.0001709 0.005805
138 REGULATION OF PEPTIDASE ACTIVITY 5 392 0.0001911 0.006443
139 DENTATE GYRUS DEVELOPMENT 2 15 0.0001962 0.006502
140 RESPONSE TO VITAMIN E 2 15 0.0001962 0.006502
141 REGULATION OF CELL ADHESION 6 629 0.000197 0.006502
142 REGULATION OF CYSTEINE TYPE ENDOPEPTIDASE ACTIVITY 4 213 0.0002095 0.006866
143 NEGATIVE REGULATION OF ADHERENS JUNCTION ORGANIZATION 2 16 0.0002241 0.00724
144 NEGATIVE REGULATION OF SMOOTH MUSCLE CELL MIGRATION 2 16 0.0002241 0.00724
145 REGULATION OF PROTEIN STABILITY 4 221 0.0002412 0.007741
146 NEGATIVE REGULATION OF CELL ADHESION 4 223 0.0002497 0.007956
147 NEGATIVE REGULATION OF CELL AGING 2 17 0.0002537 0.007977
148 PROTEIN PHOSPHORYLATION 7 944 0.0002526 0.007977
149 RESPONSE TO HEAT 3 89 0.0002575 0.00804
150 NEGATIVE REGULATION OF PHOSPHORYLATION 5 422 0.0002689 0.008341
151 TELENCEPHALON DEVELOPMENT 4 228 0.0002717 0.008371
152 CELL PROLIFERATION 6 672 0.0002816 0.008621
153 POSITIVE REGULATION OF CELL CYCLE G2 M PHASE TRANSITION 2 18 0.0002852 0.008673
154 ACTIVATION OF CYSTEINE TYPE ENDOPEPTIDASE ACTIVITY 3 95 0.000312 0.009428
155 LIVER REGENERATION 2 19 0.0003185 0.009561
NumGOOverlapSizeP ValueAdj. P Value
1 CYCLIN DEPENDENT PROTEIN SERINE THREONINE KINASE REGULATOR ACTIVITY 6 28 1.565e-12 1.454e-09
2 KINASE REGULATOR ACTIVITY 6 186 1.897e-07 8.81e-05
3 KINASE BINDING 8 606 1.233e-06 0.0003347
4 ENZYME BINDING 12 1737 1.441e-06 0.0003347
5 CYCLIN BINDING 3 19 2.346e-06 0.0004358
6 PROTEIN COMPLEX BINDING 9 935 3.172e-06 0.0004911
7 CYCLIN DEPENDENT PROTEIN KINASE ACTIVITY 3 34 1.428e-05 0.001896
8 ENZYME REGULATOR ACTIVITY 8 959 3.576e-05 0.004152
9 MACROMOLECULAR COMPLEX BINDING 9 1399 7.981e-05 0.008238
NumGOOverlapSizeP ValueAdj. P Value
1 CYCLIN DEPENDENT PROTEIN KINASE HOLOENZYME COMPLEX 7 31 1.2e-14 7.011e-12
2 PROTEIN KINASE COMPLEX 7 90 3.23e-11 9.433e-09
3 TRANSFERASE COMPLEX TRANSFERRING PHOSPHORUS CONTAINING GROUPS 7 237 2.876e-08 5.599e-06
4 CATALYTIC COMPLEX 9 1038 7.443e-06 0.001087
5 TRANSFERASE COMPLEX 7 703 3.995e-05 0.004666
6 PLATELET ALPHA GRANULE LUMEN 3 55 6.14e-05 0.005976

Over-represented Pathway

NumPathwayPathviewOverlapSizeP ValueAdj. P Value
1 p53_signaling_pathway_hsa04115 28 68 1.154e-72 6.001e-71
2 Cellular_senescence_hsa04218 14 160 8.968e-23 2.332e-21
3 Cell_cycle_hsa04110 11 124 6.498e-18 1.126e-16
4 PI3K_Akt_signaling_pathway_hsa04151 11 352 7.062e-13 9.18e-12
5 FoxO_signaling_pathway_hsa04068 8 132 8.082e-12 8.405e-11
6 Focal_adhesion_hsa04510 6 199 2.825e-07 2.448e-06
7 Apoptosis_hsa04210 5 138 1.258e-06 9.345e-06
8 MAPK_signaling_pathway_hsa04010 5 295 5.021e-05 0.0003264
9 Hippo_signaling_pathway_hsa04390 4 154 5.994e-05 0.0003463
10 Jak_STAT_signaling_pathway_hsa04630 4 162 7.297e-05 0.0003795
11 HIF_1_signaling_pathway_hsa04066 3 100 0.0003628 0.001715
12 Oocyte_meiosis_hsa04114 3 124 0.0006804 0.002949
13 Apoptosis_multiple_species_hsa04215 2 33 0.0009715 0.003886
14 Wnt_signaling_pathway_hsa04310 3 146 0.001092 0.004056
15 Hedgehog_signaling_pathway_hsa04340 2 47 0.001965 0.006812
16 TNF_signaling_pathway_hsa04668 2 108 0.009965 0.03239
17 AMPK_signaling_pathway_hsa04152 2 121 0.01238 0.03787
18 Apelin_signaling_pathway_hsa04371 2 137 0.01567 0.04527
19 mTOR_signaling_pathway_hsa04150 2 151 0.01882 0.05152
20 Tight_junction_hsa04530 2 170 0.02349 0.06108
21 Rap1_signaling_pathway_hsa04015 2 206 0.03348 0.08291

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

RP11-389C8.2

hsa-miR-106b-5p;hsa-miR-141-3p;hsa-miR-17-5p;hsa-miR-182-5p;hsa-miR-185-5p;hsa-miR-186-5p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-590-3p 10 CCND2 Sponge network -2.039 0 -1.641 0 0.52
2

LINC00702

hsa-miR-106b-5p;hsa-miR-141-3p;hsa-miR-15a-5p;hsa-miR-16-5p;hsa-miR-17-5p;hsa-miR-182-5p;hsa-miR-185-5p;hsa-miR-186-5p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-320b;hsa-miR-450b-5p;hsa-miR-501-5p;hsa-miR-590-3p;hsa-miR-96-5p 16 CCND2 Sponge network -2.856 0 -1.641 0 0.433
3

TBX5-AS1

hsa-miR-106b-5p;hsa-miR-141-3p;hsa-miR-15a-5p;hsa-miR-16-5p;hsa-miR-17-5p;hsa-miR-182-5p;hsa-miR-185-5p;hsa-miR-186-5p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-450b-5p;hsa-miR-501-5p 13 CCND2 Sponge network -2.108 0 -1.641 0 0.404
4

AC011899.9

hsa-miR-106b-5p;hsa-miR-141-3p;hsa-miR-16-5p;hsa-miR-17-5p;hsa-miR-182-5p;hsa-miR-186-5p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-590-3p 10 CCND2 Sponge network -2.611 0 -1.641 0 0.404
5

LINC00968

hsa-miR-106b-5p;hsa-miR-141-3p;hsa-miR-15a-5p;hsa-miR-16-5p;hsa-miR-17-5p;hsa-miR-182-5p;hsa-miR-185-5p;hsa-miR-186-5p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-320b;hsa-miR-450b-5p;hsa-miR-590-3p;hsa-miR-96-5p 15 CCND2 Sponge network -4.19 0 -1.641 0 0.396
6

MAGI2-AS3

hsa-miR-106b-5p;hsa-miR-141-3p;hsa-miR-15a-5p;hsa-miR-16-5p;hsa-miR-17-5p;hsa-miR-182-5p;hsa-miR-185-5p;hsa-miR-186-5p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-320b;hsa-miR-501-5p;hsa-miR-590-3p 14 CCND2 Sponge network -1.892 0 -1.641 0 0.378
7

RP11-1024P17.1

hsa-miR-106b-5p;hsa-miR-141-3p;hsa-miR-16-5p;hsa-miR-17-5p;hsa-miR-182-5p;hsa-miR-186-5p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-320b;hsa-miR-590-3p 11 CCND2 Sponge network -2.062 0 -1.641 0 0.374
8

RP11-1008C21.1

hsa-miR-106b-5p;hsa-miR-141-3p;hsa-miR-17-5p;hsa-miR-182-5p;hsa-miR-186-5p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-320b;hsa-miR-590-3p 10 CCND2 Sponge network -1.826 3.0E-5 -1.641 0 0.36
9

RP11-284N8.3

hsa-miR-106b-5p;hsa-miR-141-3p;hsa-miR-17-5p;hsa-miR-182-5p;hsa-miR-185-5p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-320b;hsa-miR-590-3p;hsa-miR-96-5p 11 CCND2 Sponge network -0.761 0.05061 -1.641 0 0.36
10

CTD-2013N24.2

hsa-miR-106b-5p;hsa-miR-141-3p;hsa-miR-15a-5p;hsa-miR-16-5p;hsa-miR-17-5p;hsa-miR-182-5p;hsa-miR-185-5p;hsa-miR-186-5p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-501-5p;hsa-miR-590-3p 13 CCND2 Sponge network -1.745 0 -1.641 0 0.354
11

AC109642.1

hsa-miR-106b-5p;hsa-miR-141-3p;hsa-miR-15a-5p;hsa-miR-16-5p;hsa-miR-17-5p;hsa-miR-182-5p;hsa-miR-185-5p;hsa-miR-186-5p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-320b;hsa-miR-590-3p;hsa-miR-96-5p 14 CCND2 Sponge network -2.791 0 -1.641 0 0.339
12

GAS6-AS2

hsa-miR-106b-5p;hsa-miR-141-3p;hsa-miR-15a-5p;hsa-miR-16-5p;hsa-miR-17-5p;hsa-miR-182-5p;hsa-miR-185-5p;hsa-miR-186-5p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p 11 CCND2 Sponge network -1.761 0 -1.641 0 0.337
13

RP11-354E11.2

hsa-miR-106b-5p;hsa-miR-16-5p;hsa-miR-17-5p;hsa-miR-182-5p;hsa-miR-185-5p;hsa-miR-186-5p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-590-3p;hsa-miR-96-5p 11 CCND2 Sponge network -2.138 0 -1.641 0 0.335
14

RP11-1024P17.1

hsa-miR-106b-5p;hsa-miR-130b-3p;hsa-miR-141-3p;hsa-miR-148b-3p;hsa-miR-17-5p;hsa-miR-186-5p;hsa-miR-18a-5p;hsa-miR-193a-3p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-25-3p;hsa-miR-301a-3p 13 PTEN Sponge network -2.062 0 -0.419 0.00014 0.325
15

RP11-166D19.1

hsa-miR-106b-5p;hsa-miR-141-3p;hsa-miR-17-5p;hsa-miR-182-5p;hsa-miR-185-5p;hsa-miR-186-5p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-320b;hsa-miR-96-5p 11 CCND2 Sponge network -0.582 0.05253 -1.641 0 0.322
16

LINC00702

hsa-miR-103a-3p;hsa-miR-106b-5p;hsa-miR-130b-3p;hsa-miR-141-3p;hsa-miR-148b-3p;hsa-miR-17-5p;hsa-miR-186-5p;hsa-miR-18a-5p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-25-3p;hsa-miR-301a-3p;hsa-miR-454-3p;hsa-miR-92a-3p;hsa-miR-93-5p 16 PTEN Sponge network -2.856 0 -0.419 0.00014 0.312
17

RP11-389C8.2

hsa-miR-103a-3p;hsa-miR-106b-5p;hsa-miR-130b-3p;hsa-miR-141-3p;hsa-miR-148b-3p;hsa-miR-17-5p;hsa-miR-186-5p;hsa-miR-18a-5p;hsa-miR-193a-3p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-301a-3p;hsa-miR-93-5p 14 PTEN Sponge network -2.039 0 -0.419 0.00014 0.303
18

FENDRR

hsa-miR-106b-5p;hsa-miR-141-3p;hsa-miR-16-5p;hsa-miR-17-5p;hsa-miR-182-5p;hsa-miR-185-5p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-320b;hsa-miR-450b-5p;hsa-miR-590-3p;hsa-miR-96-5p 13 CCND2 Sponge network -4.222 0 -1.641 0 0.301
19

RP11-378A13.1

hsa-miR-106b-5p;hsa-miR-141-3p;hsa-miR-15a-5p;hsa-miR-17-5p;hsa-miR-182-5p;hsa-miR-185-5p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-590-3p 10 CCND2 Sponge network -1.713 0 -1.641 0 0.301
20

BAIAP2-AS1

hsa-miR-106a-5p;hsa-miR-106b-5p;hsa-miR-16-5p;hsa-miR-17-5p;hsa-miR-193a-3p;hsa-miR-193b-3p;hsa-miR-20a-5p;hsa-miR-20b-5p;hsa-miR-365a-3p;hsa-miR-93-5p 10 CCND1 Sponge network -0.182 0.51705 -0.296 0.2554 0.3
21

LINC00922

hsa-miR-106b-5p;hsa-miR-141-3p;hsa-miR-16-5p;hsa-miR-17-5p;hsa-miR-185-5p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-320b;hsa-miR-501-5p 10 CCND2 Sponge network -0.842 0.11239 -1.641 0 0.298
22

RP11-166D19.1

hsa-miR-103a-3p;hsa-miR-106b-5p;hsa-miR-130b-3p;hsa-miR-141-3p;hsa-miR-148b-3p;hsa-miR-17-5p;hsa-miR-186-5p;hsa-miR-18a-5p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-25-3p;hsa-miR-301a-3p;hsa-miR-454-3p;hsa-miR-92a-3p 15 PTEN Sponge network -0.582 0.05253 -0.419 0.00014 0.295
23

RP11-416I2.1

hsa-miR-106a-5p;hsa-miR-106b-5p;hsa-miR-15b-5p;hsa-miR-16-5p;hsa-miR-17-5p;hsa-miR-193a-3p;hsa-miR-19a-3p;hsa-miR-19b-1-5p;hsa-miR-20a-5p;hsa-miR-20b-5p;hsa-miR-93-5p 11 CCND1 Sponge network 3.177 1.0E-5 -0.296 0.2554 0.294
24

RP11-456K23.1

hsa-miR-106b-5p;hsa-miR-141-3p;hsa-miR-15a-5p;hsa-miR-16-5p;hsa-miR-17-5p;hsa-miR-182-5p;hsa-miR-185-5p;hsa-miR-186-5p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-450b-5p;hsa-miR-501-5p;hsa-miR-590-3p 14 CCND2 Sponge network -1.488 0 -1.641 0 0.292
25

WDFY3-AS2

hsa-miR-106b-5p;hsa-miR-130b-3p;hsa-miR-141-3p;hsa-miR-148b-3p;hsa-miR-17-5p;hsa-miR-18a-5p;hsa-miR-193a-3p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-25-3p;hsa-miR-301a-3p 12 PTEN Sponge network -1.297 0 -0.419 0.00014 0.292
26

TBX5-AS1

hsa-miR-103a-3p;hsa-miR-106b-5p;hsa-miR-130b-3p;hsa-miR-141-3p;hsa-miR-148b-3p;hsa-miR-17-5p;hsa-miR-186-5p;hsa-miR-18a-5p;hsa-miR-193a-3p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-25-3p;hsa-miR-301a-3p;hsa-miR-92a-3p 15 PTEN Sponge network -2.108 0 -0.419 0.00014 0.286
27

MIR497HG

hsa-miR-106b-5p;hsa-miR-141-3p;hsa-miR-15a-5p;hsa-miR-16-5p;hsa-miR-17-5p;hsa-miR-182-5p;hsa-miR-185-5p;hsa-miR-186-5p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-450b-5p;hsa-miR-501-5p;hsa-miR-96-5p 14 CCND2 Sponge network -2.142 0 -1.641 0 0.271
28

DNM3OS

hsa-miR-106b-5p;hsa-miR-141-3p;hsa-miR-16-5p;hsa-miR-17-5p;hsa-miR-182-5p;hsa-miR-185-5p;hsa-miR-186-5p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-320b;hsa-miR-501-5p;hsa-miR-590-3p 13 CCND2 Sponge network 0.053 0.85755 -1.641 0 0.27
29

MAGI2-AS3

hsa-miR-103a-3p;hsa-miR-106b-5p;hsa-miR-130b-3p;hsa-miR-141-3p;hsa-miR-148b-3p;hsa-miR-17-5p;hsa-miR-186-5p;hsa-miR-18a-5p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-25-3p;hsa-miR-301a-3p;hsa-miR-454-3p;hsa-miR-92a-3p;hsa-miR-93-5p 16 PTEN Sponge network -1.892 0 -0.419 0.00014 0.268
30 RP11-399O19.9 hsa-miR-106b-5p;hsa-miR-130b-3p;hsa-miR-17-5p;hsa-miR-186-5p;hsa-miR-18a-5p;hsa-miR-19a-3p;hsa-miR-19b-3p;hsa-miR-20a-5p;hsa-miR-25-3p;hsa-miR-301a-3p;hsa-miR-93-5p 11 PTEN Sponge network -0.873 0.00072 -0.419 0.00014 0.264
31

AC003991.3

hsa-miR-106a-5p;hsa-miR-106b-5p;hsa-miR-16-1-3p;hsa-miR-16-5p;hsa-miR-17-5p;hsa-miR-193a-3p;hsa-miR-193b-3p;hsa-miR-19a-3p;hsa-miR-19b-1-5p;hsa-miR-20a-5p;hsa-miR-20b-5p;hsa-miR-365a-3p;hsa-miR-93-5p 13 CCND1 Sponge network -0.787 0.08132 -0.296 0.2554 0.255
32 LIPE-AS1 hsa-miR-103a-3p;hsa-miR-106b-5p;hsa-miR-130b-3p;hsa-miR-17-5p;hsa-miR-186-5p;hsa-miR-18a-5p;hsa-miR-193a-3p;hsa-miR-19a-3p;hsa-miR-20a-5p;hsa-miR-301a-3p;hsa-miR-93-5p 11 PTEN Sponge network -0.734 0.00039 -0.419 0.00014 0.254

Quest ID: 0ee4bfb18c29f2be45fee36f53f49ab0