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Table 1 Molecular subtypes of breast cancer for those with PCR and the entire data ISPY-1 data set

From: Machine learning classification of texture features of MRI breast tumor and peri-tumor of combined pre- and early treatment predicts pathologic complete response

Characteristics

PCR dataset n = 166 (%)

I-SPY 1 available data n = 221 (%)

Age ± SD (years)

48.20 ± 8.88

48.25 ± 8.89

Caucasian

 

165 (74.66%)

African American

 

42 (19.00%)

Asian

 

9 (4.07%)

Native Hawaiian/Pacific Islander

 

1 (0.45%)

American Indian/Alaskan Native

 

0 (0.00%)

Multiple race

 

2 (0.90%)

ER

 ER+

95 (57.23)

125 (56.60)

 ER−

71 (42.77)

94 (42.53)

 Missing

 

2 (0.90)

PgR

 PgR+

76 (45.78)

104 (47.05)

 PgR−

90 (54.22)

117 (52.94)

 Missing

 

2 (0.90)

HR

 HR+

100 (60.24)

131 (59.28)

 HR−

66 (39.76)

90 (40.72)

 Missing

 

2 (0.90)

HER2

 HER2+

49 (29.52)

67 (30.32)

 HER2−

117 (70.48)

149 (6.74)

 Missing

 

5 (2.26)

3 level HR/HER2

 HR+/HER2−

74 (44.57)

96 (43.44)

 HER2+

49 (29.51)

67 (30.32)

 Triple−

40 (24.09)

53 (23.99)

 Missing

 

5 (2.26)

  1. ER estrogen receptor, PgR progesterone receptor, HR hormone receptor, HER2 human epidermal growth factor receptor 2, Ki67 a cellular marker for proliferation