Research Paper Volume 13, Issue 7 pp 10034—10057

A five-m6A regulatory gene signature is a prognostic biomarker in lung adenocarcinoma patients

Validation of the risk signature and nomogram using GEO datasets. (A, B) Kaplan-Meier survival curves show OS of high-risk and low-risk LADC patients in the GSE72094 and GSE41271 datasets. (C, D) The forest plot shows association between clinicopathological characteristics including risk score and OS status as assessed by the multivariate Cox regression model for the GSE72094 and GSE41271 datasets. (E, F) ROC curve analysis shows the prediction accuracy of the prognostic signature in the GSE72094 and GSE41271 datasets. (G, H) The calibration curves and c-index values for the predicted 1-year, 3-year, and 5-year OS in the LADC patients from the GSE72094 and GSE41271 datasets based on the nomogram.

Figure 6. Validation of the risk signature and nomogram using GEO datasets. (A, B) Kaplan-Meier survival curves show OS of high-risk and low-risk LADC patients in the GSE72094 and GSE41271 datasets. (C, D) The forest plot shows association between clinicopathological characteristics including risk score and OS status as assessed by the multivariate Cox regression model for the GSE72094 and GSE41271 datasets. (E, F) ROC curve analysis shows the prediction accuracy of the prognostic signature in the GSE72094 and GSE41271 datasets. (G, H) The calibration curves and c-index values for the predicted 1-year, 3-year, and 5-year OS in the LADC patients from the GSE72094 and GSE41271 datasets based on the nomogram.