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. 2017 Feb 2;7:18. doi: 10.1038/s41598-017-00050-w

Table 4.

Patient characteristics of the training and validating datasets.

Characteristics Training dataset Validating dataset P value$
Sample size 258 233
Age, year mean (SD) 59.8 (11.2) 60.34 (9.9) 0.59
Histologic grade (%) 6.61 × 10−12
 2 35 (13.6) 80 (34.3)
 3 223 (86.4) 138 (59.2)
 4 0 15 (6.4)
Stage #(%) 0.10
 II 14 (5.4) 14 (6.0)
 III 206 (79.8) 199 (85.4)
 IV 38 (14.7) 20 (8.6)
Platinum sensitivity (%) 0.02
 Sensitive 190 (68.1) 185 (79.3)
Response to therapy&
 CR 194 (69.5) 0
 Non-CR 63 (22.6) 0
 Unknown 22 (7.9) 233 (100)
Molecular subtypes 0.47
 Proliferative 77 (29.8) 71 (30.5)
 Mesenchymal 51 (19.7) 39 (16.7)
 Immunoreactive 62 (24.0) 69 (29.6)
 Differentiated 68 (26.3) 54 (23.2)

#Stage based on the International Federation of Gynecology & Obstetrics (FIGO).

&CR means the complete response, and Non-CR depicts a non-complete response, including partial response, progressive disease, and stable disease.

$p values for the difference between the derivation and validation cohorts were calculated using independent sample t-test (for age and height) and Chi square test (for histologic grade, stage, platinum sensitivity, response to therapy, and molecular subtypes).