Research Article
[Retracted] Prediction of Prognosis and Molecular Mechanism of Ferroptosis in Hepatocellular Carcinoma Based on Bioinformatics Methods
Table 2
Patients’ clinical characteristics in TCGA and GSE76427.
| | Variables | Training dataset | Validation cohort | | Two random internal verification cohorts | GSE external verification cohort | | TCGA dataset () | First cohort () | Second cohort () | GSE7642 dataset () |
| | Age | | | | | | ≤60 | 165 (48.1%) | 78 (45.6%) | 87 (50.6%) | 48 (41.7%) | | >60 | 178 (51.9%) | 93 (54.4%) | 85 (49.4%) | 67 (58.3%) | | Gender | | | | | | Female | 110 (32.1%) | 49 (28.7%) | 61 (35.5%) | 22 (19.1%) | | Male | 233 (67.9%) | 122 (71.3%) | 111 (64.5%) | 93 (80.9%) | | Grade | | | | | | | 214 (62.4%) | 111 (64.9%) | 103 (59.9%) | 0 (0.0%) | | | 124 (36.2%) | 59 (34.5%) | 65 (37.8%) | 0 (0.0%) | | Unknown | 5 (1.5%) | 1 (0.6%) | 4 (2.3%) | 115 (100.0%) | | Stage | | | | | | | 238 (69.4%) | 117 (68.4%) | 121 (70.3%) | 90 (78.3%) | | | 83 (24.2%) | 42 (24.6%) | 41 (23.8%) | 24 (20.9%) | | Unknown | 22 (6.4%) | 12 (7.0%) | 10 (5.8%) | 1 (0.8%) | | T | | | | | | | 252 (73.5%) | 126 (73.7%) | 126 (73.3%) | 0 (0.0%) | | | 88 (25.7%) | 45 (26.3%) | 43 (25.0%) | 0 (0.0%) | | Unknown | 3 (0.9%) | 0 (0.0%) | 3 (1.7%) | 115 (100.0%) | | M | | | | | | M0 | 245 (71.4%) | 126 (73.7%) | 119 (69.2%) | 0 (0.0%) | | M1 | 3 (0.9%) | 2 (1.2%) | 1 (0.6%) | 0 (0.0%) | | Unknown | 95 (27.7%) | 43 (25.1%) | 52 (30.2%) | 115 (100.0%) | | N | | | | | | N0 | 239 (69.7%) | 120 (70.2%) | 119 (69.2%) | 0 (0.0%) | | N1 | 3 (0.9%) | 3 (1.8%) | 0 (0.0%) | 0 (0.0%) | | Unknown | 101 (29.5%) | 48 (28.1%) | 53 (30.8%) | 115 (100.0%) |
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