Table 2

Cox univariate regression comparing the random forest clustering (RFC) thresholds for the oestrogen receptor (ER) and the progesterone receptor (PR) with both the manual analysis and the 10% cutoff thresholds of the quantitative data


Manual analysis threshold
10% automated threshold
RFC threshold





HR
95% CI
P value
HR
95% CI
P value
HR
95% CI
P value

Cohort I (n = 179)









ER









     OS
0.259
0.127 to 0.530
0.001
0.154
0.067 to 0.355
0.002
0.235
0.116 to 0.473
0.001
PR









     OS
0.307
0.158 to 0.597
0.001
0.361
0.183 to 0.712
0.01
0.386
0.197 to 0.756
0.02

Cohort II (n = 564)









ER









     OS
0.62
0.465 to 0.826
0.006
0.68
0.509 to 0.907
0.009
0.631
0.480 to 0.830
0.001
     BCSS
0.677
0.494 to 0.928
0.006
0.664
0.492 to 0.898
0.008
0.592
0.445 to 0.787
< 0.001
     RFS
0.714
0.540 to 0.943
0.009
0.797
0.603 to 1.054
0.11
0.701
0.538 to 0.914
0.009
PR









     OS
0.647
0.483 to 0.867
0.004
0.719
0.538 to 0.961
0.026
0.705
0.524 to 0.947
0.020
     BCSS
0.602
0.445 to 0.814
0.001
0.7
0.518 to 0.947
0.020
0.673
0.495 to 0.916
0.012
     RFS
0.73
0.549 to 0.972
0.03
0.797
0.603 to 1.053
0.790
0.791
0.593 to 1.054
0.109

HR, hazard ratio; CI, confidence interval; OS, overall survival; BCSS, breast cancer-specific survival; RFS, recurrence-free survival.

Rexhepaj et al. Breast Cancer Research 2008 10:R89   doi:10.1186/bcr2187

Open Data