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Table 3 TOP 5 KEGG pathways in the PPI of the DPTs of aspirin

From: The targets of aspirin in bladder cancer: bioinformatics analysis

term description

 

count

strength

false discovery rate

GENE ID

Cell cycle

 

23

1.77

3.61E-31

CCND1, CDKN1B, CDK4, MDM2, CCND2, CREBBP, CCNE1, CDKN2C, EP300, CDK6, CDK2, RB1, TP53, CCNA2, SKP2, CDKN2B, ATM, PLK1, GSK3B, SFN, CDC20, CCND3, MYC

Human T-cell leukemia virus 1 infection

 

21

1.49

5.40E-23

KAT2A, CCND1, CDK4, CCND2, CREBBP, CCNE1, CDKN2C, EP300, CDK2, RB1, TP53, CCNA2, CDKN2B, ATM, BCL2L1, KAT5, TRRAP, PTEN, CDC20, CCND3, MYC

Viral carcinogenesis

 

20

1.53

9.44E-23

KAT2A, CCND1, CDKN1B, UBE3A, CDK4, MDM2, CCND2, CREBBP, CCNE1, EP300, CDK6, CDK2, RB1, TP53, CCNA2, SKP2, CDKN2B, USP7, CDC20, CCND3

p53 signaling pathway

 

16

1.84

2.22E-22

CCND1, CDK4, MDM2, CCND2, CCNE1, CDK6, CDK2, TP53, ATM, BCL2L1, RCHY1, SFN, CCNG1, MDM4, PTEN, CCND3

Pathways in cancer

 

23

1.14

2.48E-18

CCND1, CDKN1B, CDK4, MDM2, CCND2, CREBBP, CCNE1, EP300, CDK6, CDK2, RB1, TP53, CCNA2, SKP2, CDKN2B, BCL2L1, GSK3B, SP1, HSP90AA1, MAX, PTEN, CCND3, MYC