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Table 5 Hazard ratios and P values for the top three gene signatures in 12 datasets

From: A gene sets approach for identifying prognostic gene signatures for outcome prediction

Datasets

11823860_ST2

Mitotic checkpoint

Cell_cycle_KEGG

Bild

6.35 * # (1.23–32.2) p = 0.0256

2.88 (0.686–12.1) p = 0.148

1.13 (0.407–3.11) p = 0.819

Miller

1.29 (0.297–5.63) p = 0.731

0.942 (0.269–3.3) p = 0.925

1.37 (0.547–3.41) p = 0.504

Oh

4.72 (0.834–26.7) p = 0.0794

3.87 (0.792–18.9) p = 0.0944

2.07 (0.728–5.9) p = 0.172

Pawitan

34.6 (4.94–242) p = 3.57e-4

11.9 (2.84–49.9) p = 7.1e-4

5.21 (1.97–13.8) p = 8.6e-4

Sorlie_1

6.84 (1.75–26.7) p = 0.00568

4.73 (1.46–15.3) p = 0.00953

2.07 (1.07–4.01) p = 0.0312

Sorlie_2

3.28 (0.29–46.9) p = 0.381

1.99 (0.308–12.8) p = 0.471

1.33 (0.319–5.57) p = 0.695

Sotiriou_1

27.3 (2.60–287) p = 0.0582

64.2 (2.22–1854) p = 0.0153

5.58 (1.19–26.20 p = 0.0296

Sotiriou_2

5.22 (1.63–16.8) p = 0.00549

3.13 (1.17–8.42) p = 0.0234

2.6 (1.24–5.44) p = 0.0113

Van de Vijver

62.3 (17.7–219) p = 1.12e-10

8.8 (4.18–18.5) p = 1.05e-8

4.03 (2.37–6.85) p = 2.73e-7

Wang

7.48 (2.78–20.1) p = 6.92e-5

2.73 (1.22–6.1) p = 0.0144

3.78 (1.89–7.55) p = 1.66e-4

Wiegelt

2.00 (0.152–26.0) p = 0.597

1.40 (0.15–13.0) p = 0.769

1.25 (0.19–3.38) p = 0.764

West

15.5 (0.73–329) p = 0.788

5.56 (0.635–12.1) p = 0.121

4.27 (1.20–15.1) p = 0.0246

  1. *Values in parenthesis are 95% confidence intervals
  2. #Bolded data entries are significant at P < 0.05.