14 February 2021: Database Analysis
Identification of Potential Biomarkers Associated with Prognosis in Gastric Cancer via Bioinformatics Analysis
Dong Li 1ABCDEF* , Yi Yin 2ACEG* , Muqun He 2BDF , Jianfeng Wang 2BDFDOI: 10.12659/MSM.929104
Med Sci Monit 2021; 27:e929104
Table 3 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of differentially expressed genes (DEGs) in gastric cancer.
| Expression | Pathway ID | Name | Count | % | P-value | Genes |
|---|---|---|---|---|---|---|
| Up- regulated | hsa04512 | ECM-receptor interaction | 6 | 2.87 | 2.58E-07 | COL1A2, COL1A1, THBS2, COL11A1, THBS4, SPP1 |
| hsa04510 | Focal adhesion | 6 | 2.87 | 1.97E-05 | COL1A2, COL1A1, THBS2, COL11A1, THBS4, SPP1 | |
| hsa04350 | TGF-beta signaling pathway | 3 | 1.44 | 0.011911 | INHBA, THBS2, THBS4 | |
| hsa04670 | Leukocyte transendothelial migration | 3 | 1.44 | 0.021274 | CLDN7, CLDN4, CLDN1 | |
| hsa04514 | Cell adhesion molecules (CAMs) | 3 | 1.44 | 0.026257 | CLDN7, CLDN4, CLDN1 | |
| hsa04530 | Tight junction | 3 | 1.44 | 0.027005 | CLDN7, CLDN4, CLDN1 | |
| Down-regulated | hsa04971 | Gastric acid secretion | 9 | 0.07 | 2.05E-08 | KCNJ16, KCNJ15, CCKBR, ATP4A, ATP4B, SLC26A7, KCNE2, CA2, SST |
| hsa00830 | Retinol metabolism | 5 | 0.04 | 8.30E-04 | ALDH1A1, RDH12, CYP2C9, CYP2C18, UGT2B15 | |
| hsa00980 | Metabolism of xenobiotics by cytochrome P450 | 5 | 0.04 | 0.001431 | GSTA1, CYP2C9, AKR7A3, UGT2B15, ALDH3A1 | |
| hsa05204 | Chemical carcinogenesis | 5 | 0.04 | 0.001910 | GSTA1, CYP2C9, CYP2C18, UGT2B15, ALDH3A1 | |
| hsa00982 | Drug metabolism – cytochrome P450 | 4 | 0.03 | 0.010356 | GSTA1, CYP2C9, UGT2B15, ALDH3A1 | |
| hsa01100 | Metabolic pathways | 16 | 0.13 | 0.010455 | ETNPPL, PIK3C2G, FUT9, CYP2C9, CYP2C18, ACER2, ALDOB, FBP2, ALDH3A1, RDH12, ALDH1A1, AKR1B10, CKMT2, HDC, UGT2B15, LIPF | |
| hsa04966 | Collecting duct acid secretion | 3 | 0.02 | 0.013808 | ATP4A, ATP4B, CA2 | |
| hsa00051 | Fructose and mannose metabolism | 3 | 0.02 | 0.019104 | AKR1B10, ALDOB, FBP2 |