https://orcid.org/0000-0002-2744-8775
Figures & data
Table 1 Patient Characteristics
Figure 1 Schematic illustration of the study design.
Figure 2 Circulating inflammation signature selection using LASSO Cox regression. (A) Tuning parameter lambda (λ) selection in the LASSO method using ten-fold cross-validation via minimum criteria. (B) LASSO coefficient profiles of the candidate inflammatory markers.
Table 2 The Results of Univariate and Stepwise Multivariate Analyses in the Training Cohort
Figure 3 The distribution of circulating inflammation signature values in the training cohort. (A). The association between the circulating inflammation signature value and the estimated 3- and 5-year DFS probabilities (B).
Figure 4 Crude survival curves, stratified by the circulating inflammation signature (CISIG) values in the training cohort (A) and validation cohort (B).
Table 3 C-Indices and Corresponding 95% CIs of All Prognostic Models
Figure 5 Circulating inflammation signature (CISIG)-based nomogram (A) for estimating the 1-, 3- and 5-year disease-free survival rates in nasopharyngeal carcinoma patients. The calibration curve at 1-, 3-, and 5-year timepoints for the CISIG-based nomogram in the training cohort (B) and validation cohort (C).
