Research Paper Volume 12, Issue 13 pp 12896—12920

A novel molecular-clinicopathologic nomogram to improve prognosis prediction of hepatocellular carcinoma

Figure 3. Development and verification of 8-lncRNAs-based and 14-lncRNAs-based classifiers. (A) LASSO coefficient profiles of the 86 Significant difference lncRNAs in OS set. A vertical line is drawn at the value chosen by 10-fold cross-validation; (B) Ten-time cross-validation for tuning parameter selection in the LASSO model; (C, D) Time-dependent ROC curves and calibration curves of 8-lncRNAs-based classifier; (E) Time-dependent ROC curves of Liao’s biomarker for overall survival; (F) LASSO coefficient profiles of the 21 Significant difference lncRNAs in recurrence set, A vertical line is drawn at the value chosen by 10-fold cross-validation; (G) Ten-time cross-validation for tuning parameter selection in the LASSO model; (H) Time-dependent ROC curves and calibration curves of 14-lncRNAs-based classifier. LASSO, least absolute shrinkage and selection operator method; lncRNA, long non-coding RNA; OS, overall survival; ROC, receiver operating characteristic.