Skip to main content

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

From: Novel image analysis approach for quantifying expression of nuclear proteins assessed by immunohistochemistry: application to measurement of oestrogen and progesterone receptor levels in breast cancer

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

Breast Cancer Research

ISSN: 1465-542X

Contact us