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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]