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Table 1 Study population characteristics

From: Epigenome-wide discovery and evaluation of leukocyte DNA methylation markers for the detection of colorectal cancer in a screening setting

 

Cases

Controls

 

BLITZ population

 Sex (m/f)

38/19

1,978/2,521

 

 Mean age ± SD

67 ± 7

62 ± 7

 

 Smoking (never/ever)

25/32

2,313/2,175/11a

 

 Stage (Tis/I/II/III/IV)

4/19/6/19/3/6a

—

 

Screening setting (plate A)

 Study

BLITZ

BLITZ

 

 Sex (m/f)

30/16

29/17

 

 Mean age ± SD

67 ± 7

67 ± 7

 

 Smoking (never/ever)

21/25

25/21

 

 Stage (Tis/I/II/III/IV)

2/15/5/16/3/6a

—

 

  Cell proportions

|Δ|

  Granulocytes

54.9 ± 12.8

48.7 ± 14.9

6.2

  Monocytes

7.2 ± 1.9

7.6 ± 2.8

0.4

  Natural killer cells

11.7 ± 5.2

13.3 ± 5.8

1.7

  CD8+ T cells

3.5 ± 4.1

4.4 ± 3.8

0.9

  CD4+ T cells

16.7 ± 7.7

19.1 ± 9.5

2.3

  B lymphocytes

5.9 ± 2.8

6.8 ± 3.9

0.9

(Difference in mean LC is not significant, p-value 0.29)c

Clinical setting (plates B and C)

 Study

DACHS+

BLITZ

 

 Sex (m/f)

57/36

57/37

 

 Mean age ± SD

65 ± 8

65 ± 8

 

 Smoking (never/ever)

43/50

47/47

 

 Stage (Tis/I/II/III/IV)

4/28/41/29/22/1a

—

 

 Neoadj. therapy (none/rad./chemo./comb.)b

60/12/2/19

—

 

  Cell proportions

|Δ|

   Granulocytes

64.9 ± 12.8

52.3 ± 12.6

12.6

   Monocytes

9.3 ± 3.8

7.8 ± 2.7

1.5

   Natural killer cells

7.2 ± 4.3

11.1 ± 5.2

3.9

   CD8+ T cells

2.0 ± 2.9

3.5 ± 3.9

1.5

   CD4+ T cells

12.6 ± 7.1

19.4 ± 7.8

6.9

   B lymphocytes

4.0 ± 2.6

5.9 ± 2.9

1.9

(Difference in mean LC is significant, p-value 3.9 × 10−11)c

  1. Study population characteristics stratified by plate. Subjects who smoked regularly more than 1 year of their life were defined as ever smokers. |Δ| gives the absolute difference in average leukocyte proportions between cases and controls
  2. aMissing values
  3. bNeoadjuvant therapy (none/radiation/chemotherapy/combination of radiation and chemotherapy)
  4. cAs cell proportions are compositional data, differences between cases and controls should not be tested for individual cell types, but for the composition as a whole. The isometric log-ratio transformation was applied and differences were tested using multivariate analysis of variance (MANOVA) as described in [25]