. 2004 Jul 19;6(5):192–200. doi: 10.1186/bcr917

Table 1.

Correlation coefficients for selected gene pairs in breast cancer microarray data

	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	-0.212ⁱ	N/A	-0.160	-0.091
ESR1 and NDRG1	-0.669	N/A	-0.015	-0.329

^aIf more than one probe was present for a gene, the one with the highest correlation and the fewest missing data values was used. ^bCorrelation coefficients calculated from log₁₀intensity ratios from van't Veer and colleagues [11]. The 78 sporadic tumors and 20 BRCA1/BRCA2 tumors were used to compute the correlations. ^cCorrelation coefficients calculated from log₂intensity ratios from Sørlie and colleagues [4]. ^dCorrelation coefficients calculated from log₂intensity ratios from Sotiriou and colleagues [5]. ^eCorrelation coefficients calculated from intensity values from West and colleagues [3]. The R²value for the plot of ERBB2 and GRB7 in Fig. 2a is based on log₁₀(intensity). ^fN/A, data for one or both the two genes not included in the publicly distributed data set. ^gThe 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). ^hPGR values for 39 of 49 samples were negative. ⁱThe strength of the negative correlation is reduced by the wide range of values for TGFβ2 in the weak ESR1 subgroup (Fig. 5e).