Research Article
Identification of 5 Gene Signatures in Survival Prediction for Patients with Lung Squamous Cell Carcinoma Based on Integrated Multiomics Data Analysis
Table 1
Clinical information statistics of three sets of datasets.
| Characteristic | TCGA training datasets () | TCGA all datasets () | GSE42127 () |
| Age (years) | ≤50 | 8 | 19 | 0 | >50 | 238 | 470 | 43 |
| Survival status | Living | 144 | 282 | 22 | Dead | 103 | 212 | 21 |
| Gender | Female | 62 | 128 | 18 | Male | 185 | 366 | 25 |
| Smoke years | ≤20 | 11 | 21 | | >20 | 94 | 199 | |
| pathologic_T | T 1 | 54 | 114 | | T 2 | 146 | 287 | | T 3 | 36 | 70 | | T 4 | 11 | 23 | |
| pathologic_N | N 0 | 158 | 316 | | N 1 | 67 | 127 | | N 2 | 18 | 40 | | N 3 | 1 | 5 | |
| pathologic_M | M 0 | 194 | 406 | | M 1/M X | 50 | 84 | |
| Tumor stage | Stage I | 120 | 242 | 23 | Stage II | 81 | 158 | 10 | Stage III | 41 | 83 | 10 | Stage IV | 4 | 7 | |
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