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Fig. 5 | BMC Cancer

Fig. 5

From: Construction of a novel cuproptosis-related gene signature for predicting prognosis and estimating tumor immune microenvironment status in papillary thyroid carcinoma

Fig. 5

Different TIME statuses between high- and low-risk groups of risk model based on specific P-DECRGs in the training and TCGA verification cohort. The differences in stromal and immune scores and tumor purity between high- and low-risk groups (a) in the training cohort and (g) in the TCGA verification cohort based on the ESTIMATE algorithm. The differences in MHC molecules, effector cells, immunosuppressive cells, and immune checkpoints between high- and low-risk groups (b) in the training cohort and (h) in the TCGA verification cohort based on the IPS algorithm. The differences in the 22 types of immune cell infiltrating abundances between high- and low-risk groups (c) in the training cohort and (i) in the TCGA verification cohort based on the CIBERSORT algorithm. The differences of immune cell infiltrating abundances between high- and low-risk groups (d) in the training cohort and (j) in the TCGA verification cohort based on the quanTIseq algorithm. The differences in ICB therapy scores between high- and low-risk groups (e) in the training cohort and (k) in the TCGA verification cohort based on the ImmuCellAI algorithm. The differences in the expression levels of the 33 known types of immune checkpoint molecules between high- and low-risk groups (f) in the training cohort and (l) in the TCGA verification cohort. PTC, papillary thyroid carcinoma; P-DECRGs, prognostic associated and differentially expressed cuproptosis-related genes; 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. * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001

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