Skip to main content

Table 2 Fold difference in the expression values of informative probe sets for 6 different prediction problems in different data sets.

From: Lack of sufficiently strong informative features limits the potential of gene expression analysis as predictive tool for many clinical classification problems

Data set

IBC versus Non-IBC

p53 mutation versus normal

PIK3 mutation versus normal

Receptor status

ER-negative

ER-positive

ER-negative

ER-positive

ER-negative

ER-positive

Phenotype

IBC

Non-IBC

IBC

Non-IBC

mutation

normal

mutation

normal

mutation

normal

mutation

normal

Pts #

19 vs 27

6 vs 31

44 vs 11

14 vs 31

8 vs 49

15 vs 57

Feature #

10

100

10

100

10

100

10

100

10

100

10

100

FDR q value

1.000

1.000

0.280

0.500

0.14

0.33

0.49

0.6

0.08

0.09

0.24

0.55

Fold difference *

            

< 0.5

0

20

0

2

1

9

2

29

0

0

0

17

≥0.5 - < 1.0

4

55

1

41

1

37

5

47

1

23

6

50

≥1.0 - < 1.2

2

11

1

10

1

11

1

11

3

18

1

17

≥1.2 - < 1.5

3

12

4

18

2

15

1

9

4

21

2

10

≥1.5 - < 2.0

0

0

2

20

2

22

1

4

1

23

0

5

≥2.0 - < 3.0

0

1

2

9

3

6

0

0

1

14

1

1

≥3.0 - < 4.0

1

1

0

0

0

0

0

0

0

1

0

0

≥4.0

0

0

0

0

0

0

0

0

0

0

0

0

Data set

WANG

TRANSBIG

Mainz

         

Receptor status

ER-negative

ER-positive

ER-negative

ER-positive

ER-negative

ER-positive

      

Recurrence

Yes

No

Yes

No

Yes

No

Yes

No

Yes

No

Yes

No

Pts #

29 vs 50

29 vs 50

18 vs 45

23 vs 112

11 vs 20

30 vs 139

      

Feature #

10

100

10

100

10

100

10

100

10

100

10

100

FDR q value

0.2

0.26

0.004

0.02

0.820

0.91

0.010

0.03

0.47

0.58

0.01

0.03

Fold difference *

            

< 0.5

2

35

3

68

2

26

1

26

1

13

3

59

≥0.5 - < 1.0

6

51

7

30

4

47

5

52

5

44

5

26

≥1.0 - < 1.2

0

7

0

2

3

21

2

12

0

5

1

3

≥1.2 - < 1.5

0

5

0

0

1

6

1

8

1

16

0

0

≥1.5 - < 2.0

1

1

0

0

0

0

1

2

2

17

1

2

≥2.0 - < 3.0

1

1

0

0

0

0

0

0

0

3

0

0

≥3.0 - < 4.0

0

0

0

0

0

0

0

0

1

2

0

0

≥4.0

0

0

0

0

0

0

0

0

0

0

0

0

  1. * Log2 Difference = abs(mean log2 intensity for group1 - mean log2 intensity for group 2) where "abs" is absolute value.
  2. The numbers of probe sets with a given level of differential expression are shown for the 6 comparisons. Analyses were performed separately for Estrogen Receptor (ER)-positive and ER-negative cancers. IBC = inflammatory breast cancer, PI3K = Phosphatidylinositol-3 kinase, FDR = false discovery rate. The WANG, TRANSBIG, Mainz data sets correspond to references 2, 3 and 28. Probe sets with mean log2 transformed expression difference > 1 between comparisons groups are highlighted in bold.