A New Strategy to Uncover the Anticancer Mechanism of Chinese Compound Formula by Integrating Systems Pharmacology and Bioinformatics

Table 2

The centrality analysis of PPI network of HJD-related cancer targets.

Name	Degree	Name	Betweenness Centrality	Name	Closeness Centrality
TP53	66	TP53	0.12965202	TP53	0.75193798
AKT1	49	HSP90AA1	0.07551998	AKT1	0.65986395
EGF	47	HSPA4	0.06902023	EGF	0.65100671
PCNA	47	IL6	0.06776382	VEGFA	0.64666667
JUN	46	AKT1	0.04867524	PCNA	0.64666667
VEGFA	44	VEGFA	0.04389668	JUN	0.64666667
ESR1	42	PCNA	0.03662677	IL6	0.63815789
IL6	42	EGF	0.034913	ESR1	0.62987013
CDK1	41	ESR1	0.02917485	BCL2	0.62580645
BCL2	41	JUN	0.02822688	EGFR	0.62179487
HSP90AA1	40	TNF	0.02701286	HSP90AA1	0.61783439
CDK2	40	CDK1	0.02175952	TNF	0.61783439
CCND1	40	PTGS2	0.02156667	CDKN1A	0.61006289
EGFR	40	PPARG	0.02083383	FOS	0.61006289
TNF	39	AKR1C3	0.02075601	PIK3CG	0.61006289
CDKN1A	38	ALOX5	0.02061856	HSPA4	0.60625
PIK3CG	37	AR	0.01863776	CDK2	0.60625
FOS	37	CDK2	0.01810019	AR	0.60248447
HSPA4	37	NOS3	0.017597	MAPK8	0.60248447
MAPK8	35	EGFR	0.01749873	PTGS2	0.59876543
AR	34	CCND1	0.01665403	CDK1	0.59509202
CCNB1	33	MAPK8	0.01587777	CCND1	0.59509202
NOS3	33	CDKN1A	0.01556023	NOS3	0.59146341
PTGS2	33	BCL2	0.0151564	MMP2	0.58083832
CHEK1	30	FOS	0.01323593	MAPK14	0.58083832
CDKN1B	30	MMP2	1.25E-02	CALM2	0.57058824
MMP2	30	PGR	9.72E-03	CALM1	0.57058824
MAPK14	30	CDKN1B	9.65E-03	CDKN1B	0.56725146
CCNA2	29	PIK3CG	9.52E-03	MDM2	0.56725146
MDM2	29	CALM2	9.18E-03	KDR	0.55747126