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Table 3 Performance measures of seven-gene Heterogeneous Mixture Discriminant Analysis (MDAhet) classifier

From: A robust classifier of high predictive value to identify good prognosis patients in ER-negative breast cancer

 

Training set

  

Test

Sets

  

Cohort

NKI2+EMC+NCH

UPP

JRH-2

CAL

Kreike

UNC248

Loi

Cohort size

186

34

24

46

97

85

40

Annotated

183

31

24

46

71

80

34

Good prognosis (%)

59

81

75

67

76

74

76

Poor prognosis (%)

41

19

25

33

24

26

24

Chemotherapy (%)

0

0

0

67

0

66

0

MDA

       

NPV (%)

74

92

93

69

83

74

100

PPV (%)

55

28

56

35

29

27

40

SE (%)

69

83

83

53

71

38

100

SP (%)

61

48

78

52

44

63

54

MDAhet

       

NPV (%)

80

100

100

100

85

92

100

PPV (%)

51

30

37

45

29

36

35

SE (%)

84

100

100

100

76

90

100

SP (%)

44

44

44

42

41

42

42

NPV at 4 years (%)

83

100

100

100

88

93

100

PPV at 4 years (%)

42

24

33

35

25

45

35

SE at 4 years (%)

83

100

100

100

79

88

100

SP at 4 years (%)

44

42

43

37

40

45

43

LN

       

NPV (%)

61

84

NA

85

NA

85

76

PPV (%)

50

30

NA

46

NA

37

0a

SE (%)

27

50

NA

80

NA

71

0a

SP (%)

81

70

NA

55

NA

58

100a

NPV at 4 years (%)

67

88

NA

90

NA

82

77

PPV at 4 years (%)

39

37

NA

38

NA

47

0a

SE at 4 years (%)

25

84

NA

85

NA

69

0a

SP at 4 years (%)

80

74

NA

53

NA

60

100a

  1. aLoi's cohort consists only of LN- samples. The table summarises performance indicators of the seven-gene MDAhet classifier and lymph node status (LN) across oestrogen receptor negative (ER-) training and test sets. For each cohort, we also give the number of tumours (cohort size), number of clinically annotated tumours (annotated), the percentage of good and poor prognosis patients (as defined by disease-specific death or distant metastasis event) and the percentage of patients treated with chemotherapy. NPV, PPV, SE and SP are evaluated at four years and at end of study. NPV, negative predictive value (precision for good prognosis); PPV, positive predictive value (precision for poor prognosis); SE, sensitivity; SP, specificity.