You are viewing the site in preview mode

Skip to main content
Fig. 5 | Journal of Translational Medicine

Fig. 5

From: A novel CAF-cancer cell crosstalk-related gene prognostic index based on machine learning: prognostic significance and prediction of therapeutic response in head and neck squamous cell carcinoma

Fig. 5

Validation of the CCRGPI. A CCRGPI in samples with different clinicopathologic factors (ns: not significant, *p < 0.05, ***p < 0.001, ****p < 0.0001). B Kaplan‒Meier survival analysis of the CCRGPI subgroups in the TCGA and GEO cohorts. C Univariate Cox analysis of clinicopathologic factors and CCRGPI and multivariate Cox analysis of factors significant in univariate Cox analysis (p < 0.05). D Time-dependent AUC analysis of clinicopathologic factors and CCRGPI. E Proportion of MatCAF, MyoCAF, and SCC2 cells in the TCGA cohort (ns: not significant). AUC area under the receiver operating characteristic curve, CCRGPI cancer-associated fibroblast (CAF)-cancer cell crosstalk-related gene prognostic index, GEO Gene Expression Omnibus, MatCAF matrix CAF, MyoCAF myofibroblast, SCC2 squamous cell carcinoma 2, TCGA The Cancer Genome Atlas

Back to article page