Research Article
PTGIS May Be a Predictive Marker for Ovarian Cancer by Regulating Fatty Acid Metabolism
Table 1
Clinicopathological characteristics of OV samples from TCGA and GEO databases.
| Characteristics | TCGA-OV cohort, | GSE138866 cohort, |
| Age | | | ≤65 | 259 (68.88%) | 73 (56.15%) | >65 | 117 (31.12%) | 57 (43.85%) | Gender | | | Female | 376 (100.00%) | 130 (100%) | Stage | | | II-III | 0 | 100 (76.92%) | IV | 0 | 21 (16.15%) | Unknown | 376 (100.00%) | 9 (6.92%) | Grade | | | G1 | 1 (0.27%) | 0 | G2 | 44 (11.70%) | 0 | G3 | 322 (85.64%) | 123 (94.62%) | G4 | 1 (0.27%) | 0 | Unknown | 8 (2.13%) | 7 (5.38%) | Survival status | | | Alive | 146 (38.52%) | 19 (14.62%) | Dead | 230 (60.69%) | 111 (85.38%) | Unknown | 0 | 0 | The median follow-up time (year) | 2.81 | 2.81 |
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