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Table 2 Prediction accuracies for ALL subclasses as determined by the different microarray platforms.

From: Inter-Platform comparability of microarrays in acute lymphoblastic leukemia

ALL Subclass

Microarray Platform

# of Samples in the Dataset

# of Samples Representing the Predictor Subclass

# of Genes in Predictor (out of 40)1

Accuracy (%)2

Sensitivity (%)3

Specificity (%)4

Hyperdiploid

Affymetrix U95Av2

43a

5

40

97

80

100

Hyperdiploid

Affymetrix U133A

16b

7

38

94

86

100

T-ALL

Affymetrix U133A

16b

9

35

100

100

100

T-ALL

Affymetrix HuGene FL

41c

8

13

100

100

100

T-ALL

Affymetrix Hu6800

20d

10

30

95

100

90

T-ALL

cDNA

52e

7

5

98

86

100

T-ALL

cDNA

9f

3

29

100

100

100

TEL-AML1

Affymetrix U95Av2

43a

9

40

91

67

97

TEL-AML1

Affymetrix HuGene FL

23g

14

30

86

79

100

TEL-AML1

cDNA

52e

12

10

87

83

88

MLL-AF4

Affymetrix U95Av2

43a

20

40

100

100

100

MLL-AF4

cDNA

52e

2

7

98

50

100

E2A-PBX1

Affymetrix HuGene FL

23c

2

26

96

50

100

  1. 1 With a few exceptions, the majority of the gene lists published by Yeoh et al (2002) contain 40 genes.
  2. 2 The ability of the predictor to correctly classify the blinded test set into the correct subgroup
  3. 3 (# of positive samples predicted correctly)/(total #of true positives)
  4. 4 (# of negative samples predicted correctly)/(total #of true negatives)
  5. a Armstrong et al. (2002) Nat. Genet. 30(1), 41–7.
  6. b Mitchell et al. (2003) Unpublished data.
  7. c Golub et al. (1999) Science 286, 531–7.
  8. d Ramaswamy et al. (2001) PNAS 98(26), 15149–54.
  9. e Moos et al. (2002) Clin Cancer Res. 8, 3118–3130.
  10. f Catchpoole et al. Unpublished data.
  11. g Stephan et al. (2000) Unpublished data.