Identification of key genes and functions of circulating tumor cells in multiple cancers through bioinformatic analysis

Table 2 Top ten hub genes with higher score of connectivity

node_name	MCC	DMNC	MNC	Degree	EPC	BottleNeck	EcCentricity	Closeness	Radiality	Betweenness	Stress	ClusteringCoefficient	Total score
CDC5L	37	0.45	5	16	82.59	77	0.08	70.57	9.12	15,833	47,326	0.07	63,457.23
ITGAV	251	0.41	8	14	100.09	39	0.10	72.76	9.30	9450	37,160	0.26	47,105.29
CD59	847	0.71	6	15	97.09	32	0.10	64.82	8.82	8631	33,426	0.27	43,128.32
EDN1	29	0.45	5	8	85.45	48	0.09	63.64	8.94	8840	27,448	0.25	36,536.83
CAV1	17	0.47	4	9	94.12	37	0.10	65.29	9.05	6750	29,122	0.14	36,108.54
PARVA	7	0.46	3	4	90.13	13	0.09	64.87	9.17	6641	27,730	0.50	34,563.54
ITGB5	135	0.48	7	11	99.76	30	0.09	69.54	9.24	5305	23,774	0.29	29,441.69
POLR2L	33	0.45	5	12	74.03	18	0.07	59.69	8.49	6286	19,930	0.14	26,426.87
SMAD3	28	0.33	7	13	95.36	23	0.10	65.82	8.90	5886	19,698	0.12	25,825.54
PSMC2	6	0.00	1	6	75.37	98	0.09	64.25	9.09	7343	17,592	0.00	25,194.97

ISSN: 1755-8794