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Table 5 Effectiveness of LCN2, CD24, and Lactoferrin as a predictor set for discriminating between the control and SU5416 treatment arms.*

From: Expression profiling of blood samples from an SU5416 Phase III metastatic colorectal cancer clinical trial: a novel strategy for biomarker identification

1.

All cases pooled (67 cases from both trials)

 

Trial arm

Predicted trial arm

  

Control

SU5416

% Correct

 

Control

26

5

84

 

SU5416

6

30

83

 

Total

32

35

84

2.

Jackknifed classification matrix for all cases pooled (67 cases from both trials)

  

Control

SU5416

% Correct

 

Control

26

5

84

 

SU5416

8

28

78

 

Total

34

33

81

3.

Prediction subset (randomly selected 34 cases) from all cases pooled

  

Control

SU5416

% Correct

 

Control

13

1

93

 

SU5416

4

16

80

 

Total

17

17

85

4.

Validation subset (randomly selected 33 cases) from all cases pooled

  

Control

SU5416

% Correct

 

Control

11

6

65

 

SU5416

5

11

69

 

Total

16

17

67

  1. *Cross-validation results are displayed for two different approaches. In section 2, one case is dropped at a time and its group membership predicted from the other cases. In sections 3 and 4, cross-validation is carried out by using a randomly selected half of the cases as a training set and the remaining half as a test set. Section 4 summarizes the prediction accuracy achieved when the group in section 3 is used as a training set. Note: When results of one trial were used in predictive classification of results from the other trial, the accuracy in cross-validation was 86% and 77% for the training and testing set, respectively (with a Cohen's kappa value of 0.5507).