Research Paper Volume 13, Issue 4 pp 5506—5524

Comprehensive analysis of prognostic immune-related genes in the tumor microenvironment of colorectal cancer

Construction and validation of the ten-IRG prognostic signature. (A) A plot of partial likelihood deviance of the LASSO coefficient profiles of differentially expressed IRGs. (B) A plot of the LASSO coefficient profiles for the differentially expressed IRGs associated with overall survival of CRC. (C) Distribution of risk scores for the CRC patients in the TCGA cohort based on the ten-IRG prognostic signature. (D) The survival status of 611 CRC patients in the TCGA cohort belonging to the high- and low-risk groups based on the ten-IRG prognostic signature. (E) Kaplan–Meier survival curves show overall survival of high and low-risk CRC patients in the TCGA cohort based on the ten-IRG prognostic signature. (F) Time-dependent ROC curves show the accuracy of overall survival prediction for the TCGA-CRC cohort based on the ten-IRG prognostic signature. (G) Distribution of risk scores for the GSE39582 cohort based on the ten-IRG prognostic signature. (H) The survival status of 531 CRC patients in the GSE3958 cohort belonging to the high- and low-risk groups based on the ten-IRG prognostic signature. (I) Kaplan–Meier survival curve analysis shows the overall survival of high and low-risk CRC patients in the GSE3958 cohort based on the ten-IRG prognostic signature. (J) Time-dependent ROC curves show the accuracy of overall survival prediction for the GSE3958 cohort based on the ten-IRG prognostic signature.

Figure 4. Construction and validation of the ten-IRG prognostic signature. (A) A plot of partial likelihood deviance of the LASSO coefficient profiles of differentially expressed IRGs. (B) A plot of the LASSO coefficient profiles for the differentially expressed IRGs associated with overall survival of CRC. (C) Distribution of risk scores for the CRC patients in the TCGA cohort based on the ten-IRG prognostic signature. (D) The survival status of 611 CRC patients in the TCGA cohort belonging to the high- and low-risk groups based on the ten-IRG prognostic signature. (E) Kaplan–Meier survival curves show overall survival of high and low-risk CRC patients in the TCGA cohort based on the ten-IRG prognostic signature. (F) Time-dependent ROC curves show the accuracy of overall survival prediction for the TCGA-CRC cohort based on the ten-IRG prognostic signature. (G) Distribution of risk scores for the GSE39582 cohort based on the ten-IRG prognostic signature. (H) The survival status of 531 CRC patients in the GSE3958 cohort belonging to the high- and low-risk groups based on the ten-IRG prognostic signature. (I) Kaplan–Meier survival curve analysis shows the overall survival of high and low-risk CRC patients in the GSE3958 cohort based on the ten-IRG prognostic signature. (J) Time-dependent ROC curves show the accuracy of overall survival prediction for the GSE3958 cohort based on the ten-IRG prognostic signature.