Fig. 6

Construction and calibration of a nomogram integrating the risk model and experimental validation of the four specific P-DECRGs. The differences of TIME statues based on (a) ESTIMATE, b IPS, c CIBERSORT, d quanTIseq, e ImmuCellAI algorithms and (f) the expression levels of the 33 known types of immune checkpoint molecules between high- and low-risk groups in the independent GEO verification cohort. g A nomogram for predicting the 1-, 3-, and 5-year DFS of patients with PTC in the training cohort. Calibration curves of the nomogram for 1-, 3-, and 5-year DFS predictions of patients with PTC h in the training cohort and (j) in the TCGA verification cohort. The sensitivities and specificities of 1-, 3-, and 5-year DFS predictions of patients with PTC (i) in the training cohort and (k) in the TCGA verification cohort based on the nomogram and visualized using ROC curves. f Relative mRNA expression of the four specific P-DECRGs in PTC and non-tumor thyroid tissues from (l) the independent GEO verification cohort and (m) 20 patients. PTC, papillary thyroid carcinoma; P-DECRGs, prognostic associated and differentially expressed cuproptosis-related genes; ROC, receiver operating characteristic; AUC, area under the curve; TIME, tumor immune microenvironment; DFS, disease-free survival; ROC, receiver operating characteristic; AUC, area under the curve; MHC, major histocompatibility complex; ICB, immune checkpoint blockade; TCGA, the Cancer Genome Atlas; GEO, Gene Expression Omnibus. * P < 0.05, **** P < 0.0001