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Table 2 Gene expression in specific pathways as prognosis markers.

From: Identification of a gene signature in cell cycle pathway for breast cancer prognosis using gene expression profiling data

  Dataset
Pathways Van de Vijver [3] Wang [8] Miller [22] Pawitan [7] Bild [21]
The 70-gene signature 5.1E-07* 0.0059* 0.00020* 0.00049* 0.038*
Angiogenesis 0.069 0.30 0.12 0.0023* 0.711
Apoptosis 0.50 0.23 0.0017* 0.19 0.055
Breast cancer 3.2E-08* 0.0035* 2.4E-04* 4.7E-05* 0.050*
Chemokines 0.16 0.28 0.064 0.00045* 0.64
Cell Cycle 9.9E-09* 0.0035* 0.0017* 9.5E-05* 0.037*
DNA damage 2.2E-05* 0.055 0.036* 0.0062* 0.2
EGF 3.5E-06* 0.25 0.0049* 0.00099* 0.013*
FGF 4.9E-06* 0.033* 0.0047* 2.1E-06* 0.14
G1_S 0.0014* 0.00098* 0.0037* 0.0027* 0.21
G2_M 0.10 0.080 3.5E-04* 0.016* 0.19
HIF 0.0035* 0.030* 0.19 0.44 0.011*
JAK 0.67 0.37 0.061 0.084 0.029*
MAPK 0.0069* 0.94 0.0059* 0.25 0.76
Metastasis 0.35 0.015* 2.9E-04* 0.00037* 0.44
NER 0.92 0.80 0.27 0.16 0.64
NF-κB 0.88 0.91 0.49 0.47 0.11
p38 0.078 0.35 0.84 0.054 0.077
p53 9.2E-06* 0.066 0.0065* 5.9E-06* 0.013*
DNA Repair 1.7E-08* 0.0076* 0.047* 0.023* 0.22
Cell surface signaling 0.045* 0.13 0.025* 4.9E-05* 0.55
  1. The numbers represent the log-rank test P values in Kaplan-Meier analysis in two patient groups defined by hierarchical clustering. *P < 0.05.