Research Paper Volume 12, Issue 18 pp 18453—18475

A newly defined risk signature, consisting of three m6A RNA methylation regulators, predicts the prognosis of ovarian cancer


Figure 4. Risk signature with 18 m6A RNA methylation regulators. (A) LASSO regression analysis of the 18 m6A RNA methylation regulators. (B) Tenfold cross-validation for tuning the parameter selection in the LASSO regression. The solid vertical lines indicate the partial likelihood deviance with standard error. The dotted vertical lines represent the optimal values of the tuning parameter (λ) by minimum criteria. (C) Kaplan-Meier OS curves for patients in the TCGA datasets designated to high- and low-risk groups depended on the risk score. (D) ROC curves demonstrated the predictive efficiency of the risk signature in OC of TCGA datasets. (EF) Risk score and survival status for each patient.