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Research Paper

A united risk model of 11 immune‑related gene pairs and clinical stage for prediction of overall survival in clear cell renal cell carcinoma patients

, , , , &
Pages 4259-4277 | Received 23 Mar 2021, Accepted 09 Jul 2021, Published online: 24 Jul 2021

Figures & data

Figure 1. Overall workflow of this study

Figure 1. Overall workflow of this study

Table 1. Available clinical and pathologic factors of the cohorts used in this study

Table 2. Information of the 11 immune-related gene pairs and their coefficient

Figure 2. Predictor selection by the LASSO

(a) Parameter (Lambda) selection by LASSO model. (b) LASSO coefficient profile plot of variables against the log (Lambda) sequence.
Figure 2. Predictor selection by the LASSO

Figure 3. Survival plot of the three cohorts

(a) Training cohort. (b) Validation cohort 1. (c) Validation cohort 2.
Figure 3. Survival plot of the three cohorts

Figure 4. 1, 3, and 5 year ROC curve of the three cohorts

(a) 1 year ROC curve of training cohort. (b) 3 year ROC curve of training cohort. (c) 5 year ROC curve of training cohort. (d) 1 year ROC curve of validation cohort 1. (e) 3 year ROC curve of validation cohort 1. (f) 5 year ROC curve of validation cohort 1. (g) 1 year ROC curve of validation cohort 2. (h) 3 year ROC curve of validation cohort 2. (i) 5 year ROC curve of validation cohort 2.
Figure 4. 1, 3, and 5 year ROC curve of the three cohorts

Figure 5. Univariate and multivariate Cox regression analysis forest plot of training cohort

(a) univariate Cox regression analysis forest plot of training cohort. (b) multivariate Cox regression analysis forest plot of training cohort.
Figure 5. Univariate and multivariate Cox regression analysis forest plot of training cohort

Figure 6. Univariate and multivariate Cox regression analysis forest plot of validation cohort 1

(a) univariate Cox regression analysis forest plot of validation cohort 1. (b) multivariate Cox regression analysis forest plot of validation cohort 1.
Figure 6. Univariate and multivariate Cox regression analysis forest plot of validation cohort 1

Figure 7. Univariate and multivariate Cox regression analysis forest plot of validation cohort 2

(a) univariate Cox regression analysis forest plot of validation cohort 2. (b) multivariate Cox regression analysis forest plot of validation cohort 2.
Figure 7. Univariate and multivariate Cox regression analysis forest plot of validation cohort 2

Figure 8. IRGP score in different clinicopathological factors

(a) Grade. (b) Stage.
Figure 8. IRGP score in different clinicopathological factors

Figure 9. Nomogram model constructed by riskscore and stage predicting 1, 3 and 5 year OS for ccRCC patients

Figure 9. Nomogram model constructed by riskscore and stage predicting 1, 3 and 5 year OS for ccRCC patients

Figure 10. Calibration curve of nomogram model

(a) 1-year calibration curve. (b) 3-year calibration curve. (c) 5-year calibration curve.
Figure 10. Calibration curve of nomogram model

Figure 11. 1, 3, and 5-year ROC curve of the three cohorts

(a) 1 year ROC curve of training cohort. (b) 3 year ROC curve of training cohort. (c) 5 year ROC curve of training cohort. (d) 1 year ROC curve of validation cohort 1. (e) 3 year ROC curve of validation cohort 1. (f) 5 year ROC curve of validation cohort 1. (g) 1 year ROC curve of validation cohort 2. (h) 3 year ROC curve of validation cohort 2. (i) 5 year ROC curve of validation cohort 2.
Figure 11. 1, 3, and 5-year ROC curve of the three cohorts

Figure 12. Survival plot of the three cohorts

(a) survival plot of stage in training cohort. (b) survival plot of united-risk model in training cohort. (c) survival plot of stage in validation cohort 1. (d) survival plot of united-risk model in validation cohort 1. (e) survival plot of stage in validation cohort 2. (f) survival plot of united-risk model in validation cohort 2.
Figure 12. Survival plot of the three cohorts

Figure 13. Immune infiltration status of training cohort

(a) Dendritic cells resting. (b) Macrophages M0. (c) Macrophages M2. (d) Mast cells resting. (e) Monocytes. (f) T cells CD4 memory activated. (G) T cells CD4 memory resting. (h) T cells follicular helper. (i) T cells regulatory (Tregs).
Figure 13. Immune infiltration status of training cohort

Figure 14. Summary of the 21 immune cells’ abundance for different risk groups of training cohort

Figure 14. Summary of the 21 immune cells’ abundance for different risk groups of training cohort

Data accessibility

The expression and clinical information data used to support the findings of this study have been deposited in the TCGA (https://portal.gdc.cancer.gov/) and Arrayexpress(https://www.ebi.ac.uk/arrayexpress/) repository. The immune-related genes list was achieved from the Immport Shared Gene Lists Data(https://www.immport.org/home). The data of all the above databases can be downloaded freely, and our research complied with the agreement of these databases.