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Table 2 Correlation of the expression of the 35 signature genes with progression-free survival using univariate Cox model

From: A 35-gene signature discriminates between rapidly- and slowly-progressing glioblastoma multiforme and predicts survival in known subtypes of the cancer

Gene Contained pathway Coefficient (β) HR p
ABL1 Cell cycle -0.1215 0.886 0.650
  ErbB pathway    
CCNA1 Cell cycle -0.0899 0.914 0.520
CCND1 Cell cycle 0.0746 1.077 0.620
CCNE1 Cell cycle -0.4975 0.608 0.032
CDC6 Cell cycle 0.2324 1.262 0.410
CDK2 Cell cycle -0.5268 0.591 0.150
CDKN1C Cell cycle -0.0285 0.972 0.900
CDKN2A Cell cycle 0.1415 1.152 0.170
  p53 pathway    
DKK1 WNT pathway 0.1759 1.192 0.040
FZD3 WNT pathway 0.2434 1.276 0.230
FZD7 WNT pathway 0.4934 1.638 0.022
GADD45G MAPK pathway 0.2850 1.330 0.200
GHR JAK-STAT pathway -0.2292 0.795 0.180
GSTT1 Glutathione metabolism 0.0485 1.050 0.590
HSPA1B JAK-STAT pathway -0.1244 0.883 0.340
ID4 TGF- β pathway -0.1680 0.845 0.350
IGFBP3 p53 pathway 0.1103 1.117 0.340
INHBB TGF- β pathway -0.1187 0.888 0.390
IRS2 Insulin signaling -0.0665 0.936 0.790
LIFR ErbB pathway -0.1009 0.904 0.670
PDGFRA MAPK pathway 0.0262 1.027 0.760
PIK3CA Phosphatidylinositol signaling 0.1479 1.159 0.420
PLA2G5 Phosphatidylinositol signaling -0.0176 0.983 0.900
POLE3 Nucleotide excision repair 0.0615 1.063 0.840
PPARGC1A MAPK pathway 0.4121 1.510 0.045
PRKAR2B Insulin signaling 0.0641 1.066 0.660
PYGB Insulin signaling -0.4071 0.666 0.160
SFRP1 WNT pathway -0.1216 0.886 0.270
SFRP4 WNT pathway 0.1461 1.157 0.270
SH2B2 Insulin signaling -0.0199 0.980 0.950
STAG3L4 JAK-STAT pathway -0.0001 1.000 1.000
STMN1 MAPK pathway 0.0837 1.087 0.750
THBS2 Focal adhesion -0.1319 0.876 0.330
THBS3 Focal adhesion -0.3916 0.767 0.160
VEGFA VEGFA signaling -0.0268 0.974 0.810