Skip to main content

Table 1 Prognostic capacity of the sets of dynamically changing genes in patients treated with tamoxifen

From: Dynamic changes in gene expression in vivo predict prognosis of tamoxifen-treated patients with breast cancer

Study/dataset

Tamoxifen-treated datasets

Untreated datasets

 

Zhang and colleagues [11]

Loi and colleagues [34]

Sotiriou and colleagues [35]

Wang and colleagues [37]

Desmedt and colleagues [38]

NCBI GEO dataset [20]

GSE12093

GSE6532

GSE2990

GSE2034

GSE7390

Affymetrix GeneChip

U133A

U133A

U133 plus2

U133A

U133A

U133A

No tumors

(All ER+ and TAM-treated)

136

119

87

62

209

134

Tumor grade (1/2/3/NA)

8/43/30/55

1/94/4/20

17/37/16/17

32/0/27/3

NA

29/68/35/2

Age (median)

64*

65

63

66

52

47

Follow up (median)

7.1

5.2

11.4

4.9

7.2

10.4

Endpoint

DFS

RFS

RFS

RFS

RFS

DFS

All dynamic genes (sets 1 to 6)

P= 0.7

P= 0.2

P = 0.0006

P= 0.1

P = 0.005

P= 0.6

Set 1 (early/transient)

P = 0.00005

P = 0.0002

P = 0.0002

P = 0.002

P = 0.002

P = 0.04

Set 2 (early transient)

P= 0.4

P= 0.3

P= 0.5

P = 0.03

P = 0.03

P= 0.2

Set 3 (variable)

P= 0.8

P= 0.7

P= 0.2

P= 0.6

P = 0.0005

P= 0.1

Set 4 (variable)

P= 0.5

P= 0.2

P = 0.008

P= 0.6

P= 0.7

P= 0.3

Set 5 (continuous/late)

P= 0.1

P= 0.2

P= 0.1

P= 0.5

P= 0.1

P= 0.2

  1. Kaplan-Meier (Mantel-Cox log rank) analysis of the endpoints; *Mean value. DFS, disease-free survival; ER, estrogen receptor; NA, not available; RFS, relapse-free survival; TAM, tamoxifen.