Research Paper Volume 13, Issue 5 pp 6554—6564

A prognostic model for melanoma patients on the basis of immune-related lncRNAs

Functional validation of the prognostic model. (A) Kaplan–Meier analysis according to the prognostic model in melanoma patients of different tumor stage; (B) Comparison of ROC curves for prediction of survival by the risk score and other variables (age, gender, stage, tumor, lymph node, metastasis). (C) The gene expression profiles of 95 melanoma patients were mined to extract the expression levels of eight lncRNAs and validate the prognostic model using the same algorithm. We also observed significant differences in survival between the two risk groups; (D) The area under the ROC curve (AUC) of the validation dataset was 0.687.

Figure 3. Functional validation of the prognostic model. (A) Kaplan–Meier analysis according to the prognostic model in melanoma patients of different tumor stage; (B) Comparison of ROC curves for prediction of survival by the risk score and other variables (age, gender, stage, tumor, lymph node, metastasis). (C) The gene expression profiles of 95 melanoma patients were mined to extract the expression levels of eight lncRNAs and validate the prognostic model using the same algorithm. We also observed significant differences in survival between the two risk groups; (D) The area under the ROC curve (AUC) of the validation dataset was 0.687.