Identification of Key Genes in Gastric Cancer by Bioinformatics Analysis

Table 1

Top 5% of candidate genes in the centrality analysis.

Gene	Degree	Betweenness	Eigenvector
FN1	127	77922.220	0.253395320
MMP9	93	45189.664	0.198073490
CXCL8	85	33816.297	0.146214620
CD44	84	41183.110	0.172110660
MYC	82	48818.060	0.120246940
CXCL12	70	19844.107	0.157128860
TIMP1	65	8912.090	0.174682420
PTGS2	64	26884.875	0.114611500
SPP1	62	9094.989	0.165916760
APOB	54	28650.291	0.087770930
VCAN	52	9312.416	0.134104030
ICAM1	52	10434.576	0.122722970
CXCL1	52	10233.371	0.106985554
APOE	51	17188.280	0.110692450
STAT1	51	19835.434	0.081156254
KRAS	51	27196.115	0.077731330
BGN	48	11646.911	0.141241250
C3	42	9121.711	0.088115714