Copyright
©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
Figure 5 External validation.
Based on CDKN2A, HSPA1A, and UCN3, a cuproptosis- and immune-related prognostic model was constructed. In samples of The Cancer Genome Atlas (TCGA) database. A: Expression differences of these three genes in high- and low-risk groups and the risk score and survival time of different subgroups; B: KM curve indicates that the higher the score is, the worse the prognosis; C: Receiver operating characteristic curve shows that the model has area under the curve values greater than 0.6 in years 1, 3, and 5; D-F: In the Gene Expression Omnibus database, the model obtained similar results, and P < 0.05.
- 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