Skip to main content
. Author manuscript; available in PMC: 2012 Jul 1.
Published in final edited form as: Cancer Res. 2011 Nov 7;72(1):66–75. doi: 10.1158/0008-5472.CAN-11-2178

Table 2.

Pathways and processes that correlate with the TNF network

Pathways and processes High versus low TNF network
AOCS dataset TCGA dataset shCXCR4
Development regulation
of angiogenesis		 0.0007 <0.0001 <0.0001
Cell adhesion <0.0001 <0.0001 <0.0001
NOTCH signaling 0.0003 0.007 0.0003
Cytoskeleton actin filaments 0.0051 <0.0001 0.0001
Inflammation MIF signaling 0.0007 <0.0001 0.0021
Development blood vessel
morphogenesis		 0.0004 <0.0001 0.0026
Muscle contraction 0.0002 0.0002 0.004
Androgen receptor signaling 0.003 0.003 0.004
Inflammation protein C signaling 0.007 <0.0001 0.0081
Cell adhesion cell junctions <0.0001 0.018 0.0087
Cell cycle <0.0001 <0.0001 0.009
Immune cell signatures* <0.0001 <0.0001 N/A

The most significant pathways and processes were determined by the criteria of p value p<0.01. Column 1 = high TNF network versus low TNF network samples from AOCS dataset; Column 2 = high TNF network versus low TNF network TCGA dataset; column 3 = IGROV-1 wild type and IGROV-1 mock versus two clones of shCXCR4 knockdown cells each parameter analysed in triplicate.