25 November 2020 : Database Analysis
Bioinformatics for The Prognostic Value and Function of Cubilin (CUBN) in Colorectal Cancer
Yibin Wu1BCDEF, Ye Xu1ACG*DOI: 10.12659/MSM.922447
Med Sci Monit 2020; 26:e922447
Table 2 The kinase, miRNA, and transcription factor-target networks of CUBN in CRC (LinkedOmics).
| Enriched category | Geneset | LeadingEdgeNum | P value |
|---|---|---|---|
| Kinases target | Kinase_PIK3CD | 2 | 0 |
| Kinase_PRKG1 | 11 | 0 | |
| Kinase_BLK | 3 | 0.01201 | |
| Kinase_TEC | 4 | 0.0285 | |
| Kinase_CSNK1G3 | 3 | 0.00843 | |
| miRNAs target | ATGCACG, MIR-517B | 8 | 0.01046 |
| CGTCTTA, MIR-208 | 2 | 0.01425 | |
| TGCAAAC, MIR-452 | 39 | 0 | |
| TTTGCAC, MIR-19A, MIR-19B | 215 | 0.002 | |
| ATGTACA, MIR-493 | 103 | 0.004 | |
| Transcription factors target | V$FOXO4_01 | 86 | 0.02734 |
| V$MEF2_Q6_01 | 81 | 0.02748 | |
| V$FOXJ2_01 | 58 | 0.02753 | |
| V$MEF2_01 | 63 | 0.0276 | |
| V$PBX1_02 | 50 | 0.0276 | |
| LeadingEdgeNum – the number of leadingedge genes; P value – false discovery rate from Benjamini and Hochberg from gene set enrichment analysis (GSEA). V$ – the annotation found in Molecular Signatures Database (MSigDB) for transcription factors (TF). | |||