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Table 1 Correlation coefficients for selected gene pairs in breast cancer microarray data

From: Recent translational research: microarray expression profiling of breast cancer – beyond classification and prognostic markers?

  Data
Genes compared a van't Veer and colleagues b (n = 98) Sørlie and colleagues c (n = 122) Sotiriou and colleagues d (n = 99) West and colleagues e (n = 49)
ERBB2 and GRB7 0.910 0.745 0.633 0.887
ERBB2 and STARD3 0.791 0.705 0.828 0.895
KRT5 and KRT14 0.745 N/A f 0.546 N/A
KRT5 and KRT17 0.837 0.784 N/A N/A
KRT8 and KRT18 0.886 N/A 0.712 0.770
ESR1 and LIV-1 0.728 0.670 0.674 N/A
ESR1 and TFF1 0.624 N/A N/A 0.077
ESR1 and PGR 0.493 g N/A N/A N/A h
ESR1 and AREG 0.500 N/A N/A N/A
ESR1 and TGFβ2 -0.212 i N/A -0.160 -0.091
ESR1 and NDRG1 -0.669 N/A -0.015 -0.329
  1. a If more than one probe was present for a gene, the one with the highest correlation and the fewest missing data values was used. b Correlation coefficients calculated from log10 intensity ratios from van't Veer and colleagues [11]. The 78 sporadic tumors and 20 BRCA1/BRCA2 tumors were used to compute the correlations. c Correlation coefficients calculated from log2 intensity ratios from Sørlie and colleagues [4]. d Correlation coefficients calculated from log2 intensity ratios from Sotiriou and colleagues [5]. e Correlation coefficients calculated from intensity values from West and colleagues [3]. The R 2 value for the plot of ERBB2 and GRB7 in Fig. 2a is based on log10(intensity). f N/A, data for one or both the two genes not included in the publicly distributed data set. g The strength of the positive correlation is reduced by the wide range of values for the progesterone receptor (PGR) in the strong estrogen receptor message (ESR1) subgroup (Fig. 5c). h PGR values for 39 of 49 samples were negative. i The strength of the negative correlation is reduced by the wide range of values for TGFβ2 in the weak ESR1 subgroup (Fig. 5e).
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