Skip to main content

Table 3 Correlations of cancer-adjacent gene expression with biologically relevant signatures, by microenvironment subtype and tumor characteristics

From: Gene expression in extratumoral microenvironment predicts clinical outcome in breast cancer patients

   Microenvironment subtype   Tumor subtype/tumor characteristics  
Signature Number of genesa Active
N (%)
N= 27
Inactive
N (%)
N= 45
Claudin low
N (%)
N= 9
Non- Claudin low
N (%)
N= 63
ER positiveb
N (%)
N= 44
ER negative
N (%)
N= 22
TWIST 831/794/664       
   positive   25 (92.6) 7 (15.6)     
   negative   2 (7.4) 38 (84.4)     
   P = 5.7e-11     
Claudin Low 807/754/478       
   Positive   26 (96.3) 7 (15.6) 6 (66.7) 27 (42.9)   
   Negative   1 (3.7) 38 (84.4) 3 (33.3) 36 (57.1)   
   P = 3.6e-12 P = 0.28   
TGFβ 217/207/181       
   Positive   18 (66.7) 15 (33.3)     
   Negative   9 (33.3) 30 (66.7)     
   P = 7.7e-3     
DTF 511/451/351       
   Positive   16 (59.3) 16 (35.6)     
   Negative   11 (40.7) 29 (64.4)     
   P = 0.086     
ER Response 754/700/407       
   positive   14 (51.9) 21 (46.7)    25 (56.8) 5 (22.7)
   negative   13 (48.1) 24 (53.3)    19 (43.2) 17 (77.3)
   P = 0.80    P = 0.010
  1. a Correlations are presented using data for genes that mapped and had IQR > than median IQR. The number of genes for each signature are given as total number of genes in published signature/number of genes that mapped to the dataset/number of genes in dataset with IQR > median IQR. This final number of genes was used to perform association analyses.
  2. b six tumors were missing ER status.