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Table 4 Molecular data of matched Māori and European sub-cohort of breast cancer patients arranged by predictive clinicopathological factors.

From: A profile of prognostic and molecular factors in European and Māori breast cancer patients

Measure

(n=)

HIF-1α

H-score

Mean

(± sd)

GLUT-1

H-score

Mean

(± sd)

CA-IX

H-score

Mean

(± sd)

MVD

frequency

high

(%)

CK 5/6

frequency

positive

(%)

VEGF-A

pg/ml

Mean

(± sd)

IGF-1

ng/ml

Mean

(± sd)

Nodal status 1

0.073

0.22

0.0068

0.65

0.10

0.40

0.77

N0 (12)

44.38

(± 27.08)

107.08

(± 43.47)

63.65

(± 24.79)

1/12

(8.33%)

1/12

(8.33%)

323.39

(± 167.41)

103.2

(± 22.27)

N1 (12)

100.21

(± 67.46)

131.88

(± 46.19)

64.17

(± 67.78)

8/12

(66.7%)

4/12

(33.33%)

370.00

(± 189.65)

109.93

(± 35.57)

N2 (4)

93.75

(± 47.72)

99.38

(± 42.93)

38.75

(± 7.77)

2/4

(50%)

0/4

(0.0%)

230.13

(± 50.22)

114.67

(± 32.40)

Grade 1

0.0064

0.013

0.075

0.0009

0.0069

0.15

0.29

1 (5)

41.5

(± 19.57)

108.50

(± 31.60)

72.5

(± 19.04)

0/5

(0.0%)

0/5

(0.0%)

348.75

(± 126.36)

102.03

(± 21.77)

2 (13)

50.96

(± 36.29)

94.23

(± 37.63)

42.31

(± 16.09)

2/13

(15.38%)

0/13

(0.0%)

401.92

(± 209.77)

119.19

(± 34.50)

3 (10)

124.0

(± 58.47)

149.75

(± 42.22)

77.63

(± 72.38)

9/10

(90.0%)

5/10

(50%)

236.67

(± 89.36)

97.92

(± 22.48)

ER status 1

0.18

0.046

0.052

0.038

0.18

0.14

0.075

Negative (5)

131.50

(± 70.83)

142.0

(± 53.19)

120.50

(± 73.56)

5/5

(100%)

2/5

(40%)

245.98

(± 109.29)

87.49

(± 17.57)

Positive (23)

63.15

(± 45.72)

111.09

(± 42.43)

47.23

(± 26.94)

6/23

(26.09%)

3/23

(13.04%)

354.38

(± 176.18)

113.46

(± 28.75)

PR status 1

0.15

0.024

0.018

0.013

0.059

0.069

0.074

Negative (6)

122.08

(± 67.42)

151.25

(± 52.70)

118.13

(± 66.05)

6/6

(100%)

3/6

(50%)

237.44

(± 99.96)

90.77

(± 17.66)

Positive (22)

62.61

(± 46.72)

107.16

(± 38.92)

44.54

(± 24.22)

5/22

(22.73%)

2/22

(9.09%)

364.36

(± 176.92)

113.85

(± 29.64)

  1. 1Overall comparisons of outcomes for categorical predictors are shown; significant comparisons are shown in bold (p < 0.05). Analysis took account of the paired design by treating each pair as a cluster and using jackknifing of clusters, in SUDAAN.