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. 2020 Dec;11(6):1381–1398. doi: 10.21037/jgo-20-555

Figure 7.

Figure 7

Construction of a risk model and nomogram based on TICs. (A,B) Lasso analysis was performed for 24 kinds of TICs, and only 9 immune cells were incorporated with the least partial likelihood deviance. (C) Multivariable Cox proportional hazards model composed of 7 different TIC types. (D) ROC curves to evaluate the predictive power of the TIC signature and all AUC values of 1-, 3-, and 5-year overall survival were larger than 0.7. (E) Low-risk patients had a longer overall survival time than high-risk patients, as revealed by the K-M curve (P<0.001). (F) The nomogram for predicting the 1-, 3-, and 5-year overall survival rate of HCC patients based on the 7 TIC types. (G) A 3-year calibration curve to assess the precision of the nomogram. *P<0.05. TICs, tumor-infiltrating cells; Lasso, least absolute shrinkage and selection operator; ROC, receiver operating characteristic; AUC, area under the curve; K-M, Kaplan-Meier.