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Table 2 Comparison of pre- and on-treatment biomarkers for predicting response and outcome. Evaluation of the performance of the top 10 pre- and on-treatment genes identified for predicting pathological response in the NEO dataset

From: On-treatment biomarkers can improve prediction of response to neoadjuvant chemotherapy in breast cancer

 

Response accuracy

Response AUC

Outcome (log-rank)

NEO

I-SPY

NEO

I-SPY

NEO

I-SPY

On-treatment

 AAGAB

100%

78%

1.00

0.63

0.048

0.0036

 ZNF165

88%

54%

0.91

0.57

0.26

0.70

 KRTCAP3

79%

52%

0.85

0.56

0.81

0.49

 RFC2

79%

40%

0.85

0.35

0.51

0.44

 C20orf151

70%

NA

0.75

NA

0.36

NA

 ARF5

70%

43%

0.75

0.36

0.0038

0.20

 BSPRY

70%

48%

0.75

0.49

0.47

0.19

 NGRN

58%

NA

0.66

Na

0.53

Na

 CHST7

29%

46%

0.21

0.52

0.65

0.40

 SLC18B1

25%

Na

0.18

NA

0.55

NA

Pre-treatment

 IGF1R

74%

63%

0.76

0.69

0.36

0.11

 CTNNB1

71%

49%

0.73

0.46

0.60

0.40

 SLC20A2

71%

56%

0.72

0.57

0.063

0.56

 HMGCL

68%

47%

0.67

0.45

0.10

0.97

 ST6GALNAC5

68%

52%

0.69

0.53

0.6

0.28

 AAGAB

65%

57%

0.65

0.58

0.71

0.20

 C1orf51

62%

NA

0.61

NA

0.12

NA

 KRTCAP3

62%

54%

0.63

0.57

0.78

0.78

 SETDB2

50%

49%

0.48

0.51

0.29

0.15

 FADS2

29%

48%

0.27

0.5

0.14

0.73

  1. NA not available, gene not represented in I-SPY dataset; AUC area under curve. Bold indicates significant p-values. Italics indicate training prediction percentages