Table 1 Clinical data summary for SMC and TCGA

From: Multi-omics profiling of younger Asian breast cancers reveals distinctive molecular signatures

 

SMC

TCGA

Statistical significance

Subjects (n)

187

1,116

 

Patient age (yr)

39.3 ± 8.5

58.3 ± 13.2

p < 2.2e-16

Tumor purity (%)

71 ± 17.8

77.7 ± 10.7

p = 0.0005

Menopausal status (n(%))

   

  Pre-menopausal

165 (88.2%)

232 (20.8%)

p = 1.12e-76

  Post-menopausal

19 (10.2%)

715 (64.1%)

p = 2.4e-68

  Peri-menopausal

 

41 (3.7%)

 

  N/A

 

128 (11.5%)

 

Clinical subtype (n(%))

   

  ER+

103 (55.1%)

480 (43.0%)

p = 0.04

  ER+/HER2+

27 (14.4%)

116 (10.4%)

 

  HER2+

15 (8%)

32 (2.9%)

p = 0.07

  TNBC

37 (19.8%)

121 (10.8%)

 

  N/A

5 (2.7%)

367 (32.9%)

 

TNM stage (n(%))

   

  I

27 (14.4%)

177 (15.9%)

 

  II

101 (54%)

605 (54.2%)

 

  III

58 (31%)

237 (21.2%)

 

  V

1 (0.5%)

18 (1.6%)

 

  N/A

 

79 (7.1%)

 

Histology subtype (n(%))

   

  Lobular carcinoma

7 (3.7%)

193 (17.3%)

p = 2.9e-08

  Ductal Carcinoma

172 (92.0%)

830 (74.4%)

p = 2.9e-08

  Others

8 (4.3%)

37 (3.3%)

 

  N/A

 

56 (5.0%)

 

Race (n(%))

   

  Asian

187 (100%)

57 (5.1%)

p = 2.53e-193

  Black

 

158 (14.2%)

 

  White

 

745 (66.8%)

 

  N/A

 

156 (14%)

 
  1. For SMC vs. TCGA comparisons of continuous and categorical variables, values were calculated using Student’s t test and Fisher’s exact test respectively