Table 3

Prognostic performances of subsets of angiogenic genes.

Proteins

AUC

True positive rate (%)

False positive rate (%)


TGFBR1, CLU, MAP3K7, FOS, STAT1, PTK2, BMX, CAV1, ITK, PAK1, PTGS2, FYN, LCK, CD55

0.67

62

38

CLU, FOS, ITK, PTGS2, LCK, CD55

0.83

69

31

FOS, LCK, CLU

0.84

69

31

ITK, LCK, CD55

0.82

72

28

ITK, CD55

0.84

75

25

TGFBR1, PTK2, ITK

0.89

87

13


Logistic regression models were used for these analyses. AUC: area under the receiver operating characteristic (ROC) curve. True positive rate (= sensitivity) indicates the percentage of patients correctly classified in the EF group (EF ≤ 40% or EF > 40%). False positive rate (= 1-specificity) indicates the percentage of patients misclassified in the EF group. Optimal classification models are shown; all other combination of genes provided lower classification performances.

Devaux et al. BMC Medical Genomics 2011 4:83   doi:10.1186/1755-8794-4-83

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