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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.