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©The Author(s) 2024.
World J Gastrointest Oncol. Jul 15, 2024; 16(7): 3097-3117
Published online Jul 15, 2024. doi: 10.4251/wjgo.v16.i7.3097
Published online Jul 15, 2024. doi: 10.4251/wjgo.v16.i7.3097
Figure 3 Least absolute shrinkage and selection operator Cox regression analysis for the screening of prognostic genes and con struction and validation of the risk score in training and test data.
A: Choosing optimal lambda in least absolute shrinkage and selection operator; dotted lines were drawn at the optimal values; B: Coefficients of overall survival-related glycolytic genes; C and D: Kaplan-Meier analysis of different glycolysis status in training and internal testing data (yellow: High glycolysis status; blue: Low glycolysis status); E and F: Receiver operating characteristic curves of risk models. Red: 1 year, yellow: 3 years, and blue: 5 years; G and H: Univariate and multivariate Cox regression analysis of clinicopathological parameters including risk score to assess the prognostic value in The Cancer Genome Atlas of Stomach Adenocarcinoma. TCGA: The Cancer Genome Atlas; TPR: True positive rate; FPR: False positive rate; AUC: Area under the receiver operating characteristic curve.
- Citation: Meng XY, Yang D, Zhang B, Zhang T, Zheng ZC, Zhao Y. Glycolysis-related five-gene signature correlates with prognosis and immune infiltration in gastric cancer. World J Gastrointest Oncol 2024; 16(7): 3097-3117
- URL: https://www.wjgnet.com/1948-5204/full/v16/i7/3097.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v16.i7.3097