Skip to main content

Table 3 Characteristics of microarray datasets for platform, sample groups, and grade, type and stage in endometrial cancers

From: Visual gene-network analysis reveals the cancer gene co-expression in human endometrial cancer

Characteristics Training dataset (n = 273) Validation set A (n = 40) Validation set B (n = 90)
Sample    
 Control 37 (14%) 20 (50%) 45 (50%)
 Case 236 (86%) 20 (50%) 45 (50%)
Grade a    
 G1 86 (36%)   20 (44%)
 G2 43 (18%) - 12 (27%)
 G3 52 (22%) - 8 (18%)
 Unknown 55 (23%) - 5 (11%)
Type a    
 T1 113 (48%) 10 (50%) -
 T2 84 (36%) 10 (50%) -
 Unknown 39 (17%) 0 -
Stage a    
 IA 31 (13%) 10 (50%) 10 (22%)
 IB 37 (16%) - 10 (22%)
 IC or late stage 23 (10%) 10 (50%) 19 (42%)
 Unknown 82 (61%) 0 6 (14%)
Platform    
 Affymetrix 140 - -
 Illumina 19 20 -
 Agilent 114 - -
 Swegene - - 45
  1. aEndometrial cancers are grouped by the grade (degree of differentiation), type (histopathological types) and stage (status of spread).