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Table 2 Explained variation and predictive inaccuracy for distant metastasis-free survival and breast cancer-specific survival in the 295 Netherlands Cancer Institute dataset

From: A comprehensive analysis of prognostic signatures reveals the high predictive capacity of the Proliferation, Immune response and RNA splicing modules in breast cancer

Model

Distant metastasis-free survival

Breast cancer-specific survival

 

Predictive inaccuracy

Explained variation (%)

Predictive inaccuracy

Explained variation (%)

No predictors

0.314 ± 0.02

  

0.292 ± 0.02

Adjuvant online

0.303 ± 0.02

3.5 ± 1.8

0.274 ± 0.02

6.1 ± 2.0

Nottingham Prognostic Index

0.294 ± 0.02

6.2 ± 2.4

0.270 ± 0.02

7.8 ± 2.6

St Gallen

0.310 ± 0.02

1.2 ± 0.9

0.287 ± 0.02

1.9 ± 1.0

RNA splicing/Immune module classifier

0.282 ± 0.02

9.9 ± 3.0

0.254 ± 0.02

13.0 ± 3.8

Adjuvant online and module classifier

0.281 ± 0.02

10.3 ± 2.9

0.250 ± 0.02

14.5 ± 3.8

Nottingham Prognostic Index and module classifier

0.277 ± 0.02

11.6 ± 3.2

0.248 ± 0.02

15.2 ± 3.8

St Gallen and module classifier

0.282 ± 0.02

9.9 ± 3.0

0.254 ± 0.02

13.1 ± 3.7

Gain by adding module classifier to Adjuvant online

0.022

6.8

0.024

8.4

Gain by adding module classifier to Nottingham Prognostic Index

0.017

5.4

0.022

7.4

Gain by adding module classifier to St Gallen

0.028

8.7

0.033

11.2

  1. Data presented as the mean ± standard error.