Skip to main content
Fig. 2 | Cancer Cell International

Fig. 2

From: Predicting hepatocellular carcinoma outcomes and immune therapy response with ATP-dependent chromatin remodeling-related genes, highlighting MORF4L1 as a promising target

Fig. 2

The risk model based on ACRRDEGs effectively forecasts the overall survival of HCC patients. A Intersection of differentially expressed genes (DEGs) from tumor and adjacent normal tissues with ACRRGs. B and C The process of selecting key genes using the LASSO method. D and G HCC patients are scored using the model, with scores determining assignment to either a high-risk or low-risk group. Survival proportions of patients in both the training set (D) and the validation set (G) are displayed, alongside the expression levels of key genes. E and H Survival curves for the high-risk and low-risk groups in both the training (E) and validation (H) sets. F and I The predictive performance of the risk model on the 1, 3, and 5-year overall survival of HCC patients in high-risk and low-risk groups across both the training set (F) and the validation set (I)

Back to article page