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29 April 2026 : Database Analysis  

Telomerase-Associated Genes as Prognostic Markers in High-Grade Serous Ovarian Cancer

Xiaohua Wang ORCID logo ABCEG 1, Shuyu Han ORCID logo CDF 1, Xi Wang BC 1, Yanwei Guo ORCID logo ACDEF 2*

DOI: 10.12659/MSM.951804

Med Sci Monit 2026; 32:e951804

Figure 6 Calculation of risk scores and development of a prognostic model and nomogram. (A) The trajectory of each independent variable: the horizontal axis represents the log value of the independent variable lambda, and the vertical axis represents the coefficient of the independent variable. (B) The confidence interval under each lambda. (C) Survival difference in high- and low-risk scores of the training cohort. (D) Survival difference in high- and low-risk scores of the validation cohort. (E) Time-dependent ROC curves at 1-, 2-, and 3- year in the training cohort. (F) Time-dependent receiver operating characteristic (ROC) curves at 1-, 2-, and 3- year in the validation cohort. (G) The nomogram model was constructed based on the risk scores to predict the 1-, 2-, and 3-year survival of high-grade serous ovarian cancer (HGSOC) patients. (H) Time-dependent ROC curves for the nomogram model at 1-, 2-, and 3-year.

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750