Comprehensive assessment of the association between tumor-infiltrating immune cells and the prognosis of renal cell carcinoma

Figure 1 Analysis of the expression levels of 22 types of tumor-infiltrating immune cells and their correlation in 829 renal cell carcinoma patients and 128 normal controls. A and B: Expression of 22 tumor-infiltrating immune cells (TIICs) in renal cell carcinoma (RCC) and normal samples; C: Correlation analysis of 22 TIICs and immune cells between 829 RCC samples; D: Differences in the composition of TIICs between normal tissue and RCC tissue in 829 RCC samples.

Figure 2 Correlation analysis between TNM stage and 22 tumor-infiltrating immune cells in 829 renal cell carcinoma patients. A: Tumor stage and the expression of 22 tumor-infiltrating immune cells (TIICs) in 829 renal cell carcinoma (RCC) patients; B: Node stage and the expression of 22 TIICs in 829 RCC patients; C: Metastasis stage and the expression of 22 TIICs in 829 RCC patients; D: Pathologic stage and the expression of 22 TIICs in 829 RCC patients. NK: Natural killer; M1: Normal activated subset; M2: Alternating-activated subset.

Figure 3 Univariate Cox regression analysis for factors affecting overall survival. A: Kaplan-Meier survival curve of overall survival between the high-risk and low-risk groups; B: Receiver operating characteristic (ROC) curve area under the curve (AUC) statistics assess the predictive capability of the immune risk score model; C: Distribution of the immune risk score in renal cell carcinoma (RCC) patients; D: Distribution of the survival status of RCC patients; E: Distribution of five immune cells in the high-risk and low-risk groups; F: Correlation between the immune risk score and clinical indicators.

Figure 4 Cox proportional hazard model of correlative factors in renal cell carcinoma patients. A: Univariate Cox regression analysis of seven clinicopathological parameters affecting overall survival; B: Multivariate Cox regression analysis of seven clinicopathological parameters affecting overall survival; C: An established nomogram to predict survival based on the Cox model.