BioMed Research International / 2015 / Article / Tab 3

Research Article

Network Comparison of Inflammation in Colorectal Cancer and Alzheimer’s Disease

Table 3

Subpathways previously not associated with the two diseases. These subpathways were selected from the most significant 100 subpathways in each network. Subpathway (linear signaling flow) with fold-change (the numeral in parenthesis) of the disease group over the control group is represented in each dataset. The most significant 100 subpathways for each dataset are provided in Supplementary Tables S3–S5. The notation in the flow is “B <- A: A activates B” and “B ∣- A: A represses B.”

KEGG pathwayGSE4107 (CRC) subpathway; valueGSE1297 (AD) subpathway; valueGSE12685 (AD) subpathway; value

Hedgehog signaling (hsa04340)PTCH1 (1.863) <- GLI2 (2.878) ∣- CSNK1G1 (0.587); 0.000035PTCH2 (0.938) <- GLI3 (0.682) ∣- GSK3B (1.513); 0.0015
WNT3 (3.147) <- GLI2 (2.878) ∣- CSNK1G1 (0.587); 0.000223

Axon guidance (hsa04360)PAK3 (0.732) <- RAC1 (0.943) ∣- PLXNB3 (1.627) <- SEMA4C (1.283); 0.0008CFL1 (1.157) ∣- LIMK1 (0.896) <- PAK4 (0.871) <- RAC3 (0.892) <- PLXNA3 (0.954) <- FES (0.841); 0.0011

WNT signaling (hsa04310)JUN (4.179) <- TCF7L1 (2.735) <- CTNNB1 (2.562) ∣- GSK3B (0.735) ∣- DVL3 (1.608) <- FZD10 (6.256) <- WNT3 (3.147) <- PORCN (1.279); 0.000114
JUN (4.179) <- TCF7L1 (2.735) <- CTNNB1 (2.562) ∣- GSK3B (0.735) ∣- DVL3 (1.608) <- APC2 (2.201) <- AXIN2 (2.307) <- CSNK1A1 (1.963); 0.00016

Pathways in cancer (hsa05200)MMP2 (3.031) <- JUN (4.179) <- MAPK1 (2.425) <- MAP2K1 (1.162) <- ARAF (4.631) <- HRAS (1.027) <- SOS1 (1.624) <- GRB2 (1.613) <- IGF1R (2.299) <- IGF1 (2.529); 0.000022

ECM-receptor interaction (hsa04512)SDC2 (3.091) <- TNC (9.557); 0.000026SDC3 (0.849) <- COL5A2 (0.162); 0.003SDC1 (0.865) <- COL3A1 (0.865); 0.0017
SDC2 (3.091) <- FN1 (5.594); 0.000125

Neurotrophin signaling (hsa04722)BAD (1.279) ∣- AKT2 (0.856) <- PDK1 (0.943) <- PIK3CD (0.576) <- GAB1 (0.997) <- SHC2 (0.844) <- NTRK1 (0.945) <- NTF3 (0.784); 0.0008

Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.