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©The Author(s) 2024.
World J Clin Oncol. Jan 24, 2024; 15(1): 89-114
Published online Jan 24, 2024. doi: 10.5306/wjco.v15.i1.89
Published online Jan 24, 2024. doi: 10.5306/wjco.v15.i1.89
Figure 4 Independent prognostic ability and predictability of clinical outcomes of the disulfidaptosis-related lncRNA risk scoring model.
A: Univariate Cox regression analysis of clinical variables and risk scores; B: Multivariate Cox regression analysis of clinical variables and risk scores; C: Prediction of 1-, 3-, and 5-year overall survival (OS) for all enrolled colorectal cancer (CRC) patients; D: Comparison of risk scoring model and clinical variables in predicting OS in CRC patients; E: C-index ROC curve of the risk model; F: Column chart of risk and clinical variable features predicting 1, 3, and 5-year OS in CRC patients; G: Calibration curves demonstrate the accuracy of the risk model in predicting 1, 3, and 5-year OS in CRC patients.
- Citation: Wang KL, Chen KD, Tang WW, Chen ZP, Wang YJ, Shi GP, Chen YG. Predicting colorectal cancer prognosis based on long noncoding RNAs of disulfidptosis genes. World J Clin Oncol 2024; 15(1): 89-114
- URL: https://www.wjgnet.com/2218-4333/full/v15/i1/89.htm
- DOI: https://dx.doi.org/10.5306/wjco.v15.i1.89