Research Article
A Novel Approach for Discovering Condition-Specific Correlations of Gene Expressions within Biological Pathways by Using Cloud Computing Technology
Table 3
Pathways containing different correlated genes between relapse and nonrelapse breast cancer patients.
| ID | Pathway names | Differential correlation genes (cor_Dif*) |
| hsa05200 | Pathways in cancer | NFKB2 PTGS2 (+0.37) | JUN MMP1 (+0.29) | RUNX1 CEBPA (+0.29) | JUN FIGF (−0.27) |
| hsa04151 | PI3K-Akt signaling pathway | FGF4 EGFR (−0.32) | IRS1 PIK3CB (−0.3) | CSF1 KIT (+0.3) | EFNA1 IGF1R (−0.28) |
| hsa04722 | Neurotrophin signaling pathway | IRS1 PIK3CG (+0.34) | RPS6KA2 NRAS (+0.3) | IRS1 PIK3CB (−0.3) |
| hsa04062 | Chemokine signaling pathway | GNB5 PIK3R5 (+0.31) | CCL18 XCR1 (−0.29) |
| hsa04150, | mTOR signaling pathway | | | | | hsa04910, | Insulin signaling pathway |
IRS1 PIK3CG (+0.34) | | | | hsa04930, | Type II diabetes mellitus | IRS1 PIK3CB (−0.3) | | | | hsa04960 | Aldosterone-regulated sodium reabsorption | |
| hsa04010 | MAPK signaling pathway | DUSP2 MAPK8 (−0.34) |
| hsa04060 | Cytokine-cytokine receptor interaction | IL17A IL17RA (−0.32) |
| hsa04310 | Wnt signaling pathway | SFRP5 WNT11 (+0.3) |
| hsa04520 | Adherens junction | WAS ACTB (−0.39) |
| hsa04530 | Tight junction | PRKCQ ACTB (−0.34) |
| hsa04612 | Antigen processing and presentation | HLA-E KIR2DS1 (−0.29) |
| hsa04620 | Toll-like receptor signaling pathway | RIPK1 TRAF6 (+0.31) |
| hsa04630 | Jak-STAT signaling pathway | STAT6 SOCS1 (+0.31) |
| hsa04666 | Fc gamma R-mediated phagocytosis | WASF3 ARPC2 (+0.3) |
| hsa04725 | Cholinergic synapse | GNB5 PIK3R5 (+0.31) |
| hsa05012 | Parkinson's disease | SLC25A4 CYCS (+0.28) |
| hsa05020 | Prion diseases | PRNP BAX (+0.29) |
| hsa05152 | Tuberculosis | MAPK3 IL23A (+0.31) |
| hsa05211 | Renal cell carcinoma | EGLN3 EPAS1 (+0.28) |
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cor_Dif: average correlation of genes in nonrelapse samples − average correlation of genes in relapse samples.
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