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©The Author(s) 2023.
World J Gastrointest Oncol. Mar 15, 2023; 15(3): 372-388
Published online Mar 15, 2023. doi: 10.4251/wjgo.v15.i3.372
Published online Mar 15, 2023. doi: 10.4251/wjgo.v15.i3.372
Table 1 Clinical information of The Cancer Genome Atlas and Gene Expression Omnibus samples
| Charar | TCGA (n = 443) | GSE39582 (n = 568) | |
| Status | Alive | 346 | 380 |
| Dead | 97 | 188 | |
| Age | Mean (SD) | 66.9 (13.1) | 66.8 (13.2) |
| Median (MIN, MAX) | 68 (31,90) | 68 (22,97) | |
| Sex | Female | 211 | 257 |
| Male | 232 | 311 | |
| pTNM_stage | I | 75 | 36 |
| II | 176 | 267 | |
| III | 128 | 205 | |
| IV | 64 | 60 |
- Citation: Huang YY, Bao TY, Huang XQ, Lan QW, Huang ZM, Chen YH, Hu ZD, Guo XG. Machine learning algorithm to construct cuproptosis- and immune-related prognosis prediction model for colon cancer. World J Gastrointest Oncol 2023; 15(3): 372-388
- URL: https://www.wjgnet.com/1948-5204/full/v15/i3/372.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v15.i3.372