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. 2018 Aug 15;24:5668–5688. doi: 10.12659/MSM.908756

Table 2.

The 26 KEGG pathways associated with the putative targets of Qingdai.

Term Count P-value
hsa04914: Progesterone-mediated oocyte maturation 10 2.93E-07
hsa04080: Neuroactive ligand-receptor interaction 13 1.57E-05
hsa04115: p53 signaling pathway 7 8.78E-05
hsa04060: Cytokine-cytokine receptor interaction 12 1.03E-04
hsa04110: Cell cycle 8 3.91E-04
hsa04510: Focal adhesion 9 0.001437085
hsa05210: Colorectal cancer 6 0.002152457
hsa05200: Pathways in cancer 11 0.002692876
hsa04062: Chemokine signaling pathway 8 0.004097191
hsa04621: NOD-like receptor signaling pathway 5 0.004583166
hsa04620: Toll-like receptor signaling pathway 6 0.004793465
hsa05120: Epithelial cell signaling in Helicobacter pylori infection 5 0.006372769
hsa04622: RIG-I-like receptor signaling pathway 5 0.00742055
hsa05212: Pancreatic cancer 5 0.007793627
hsa04664: Fc epsilon RI signaling pathway 5 0.010293415
hsa04722: Neurotrophin signaling pathway 6 0.011255823
hsa04020: Calcium signaling pathway 7 0.012206329
hsa05215: Prostate cancer 5 0.016120746
hsa04912: GnRH signaling pathway 5 0.022181176
hsa04010: MAPK signaling pathway 8 0.026015669
hsa04660: T cell receptor signaling pathway 5 0.030365615
hsa05214: Glioma 4 0.03155056
hsa04114: Oocyte meiosis 5 0.032191066
hsa05218: Melanoma 4 0.042714992
hsa04012: ErbB signaling pathway 4 0.040141341
hsa04930: Type II diabetes mellitus 3 0.034045303