Identification of FOS as a Candidate Risk Gene for Liver Cancer by Integrated Bioinformatic Analysis

Table 1

Top 15 pathways with high degree in miRNA-gene-pathway network.

Pathway	Degree	Average shortest path length	Betweenness centrality	Closeness centrality	Clustering coefficient	Topological coefficient
MAPK signaling pathway	53	1.670213	0.055032	0.598726	0.530479	0.40363
GPCR pathway	51	1.712766	0.030236	0.583851	0.576471	0.428607
Colorectal cancer	49	1.765957	0.044379	0.566265	0.544218	0.39325
CXCR4 pathway	47	1.787234	0.027533	0.559524	0.582794	0.407256
Molecular mechanisms of cancer	46	1.723404	0.040792	0.580247	0.578744	0.413043
MAPKinase signaling pathway	45	1.808511	0.020999	0.552941	0.625253	0.422222
CDC42 pathway	45	1.776596	0.018781	0.562874	0.621212	0.443305
PI3K signaling in B-Lymphocyte	44	1.840426	0.010117	0.543353	0.660677	0.445691
FAK1 signaling	42	1.840426	0.015468	0.543353	0.645761	0.465079
MAPK signaling	42	1.765957	0.02427	0.566265	0.644599	0.436607
Focal adhesion	41	1.840426	0.045292	0.543353	0.635366	0.456033
Estrogen pathway	41	1.819149	0.01352	0.549708	0.659756	0.454972
CDK5 pathway	41	1.861702	0.024969	0.537143	0.647561	0.431739
GnRH signaling pathway	40	1.882979	0.018458	0.531073	0.703846	0.461842
PDGF pathway	39	1.893617	0.005126	0.52809	0.746289	0.468864