Table 2 Superpc continuous prediction results from breast cancer data analysis
From: A network module-based method for identifying cancer prognostic signatures
| Â | Principal component | ||
|---|---|---|---|
| Â | 1st | 2nd | 3rd |
NEJM | Â | Â | Â |
   HR | 5.21E+00 | 2.28E+00 | 1.98E+00 |
   95% HR CI | 3.18 to 8.56 | 1.19 to 4.34 | 1.02 to 3.83 |
   P-value | 6.68E-11 | 1.25E-02 | 4.26E-02 |
GSE4922 | Â | Â | Â |
   HR | 7.35E+00 | 2.05E-01 | 2.66E-02 |
   95% HR CI | 2.11 to 25.6 | 0.0091 to 4.62 | 6.5e-4 to 1.08 |
   P-value | 1.73E-03 | 3.19E-01 | 5.51E-02 |
GSE3143 | Â | Â | Â |
   HR | 7.27E+02 | 6.10E-03 | 1.70E+00 |
   95% HR CI | 8.1 to 6.5e+4 | 1.8e-4 to 0.21 | 1.1 to 2.6 |
   P-value | 4.12E-03 | 4.61E-03 | 1.19E-02 |
GSE18229 | Â | Â | Â |
   HR | 5.34E+00 | 7.20E+00 | 9.31E-01 |
   95% HR CI | 2.63 to 10.9 | 1.73 to 30.0 | 0.30 to 2.90 |
   P-value | 3.63E-06 | 6.66E-03 | 9.01E-01 |
GSE1456 | Â | Â | Â |
   HR | 1.50E+02 | 1.45E+02 | 6.03E+00 |
   95% HR CI | 17 to 1287 | 1.66 to 1.26e+4 | 0.034 to 1057 |
   P-value | 5.00E-06 | 2.91E-02 | 4.96E-01 |