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Fig. 6 | BMC Medical Genomics

Fig. 6

From: Identification and validation of a novel predictive signature based on hepatocyte-specific genes in hepatocellular carcinoma by integrated analysis of single-cell and bulk RNA sequencing

Fig. 6

Development of a predictive signature based on specific gene expression of hepatocytes. The forest plots were established based on the univariate (A) and multivariate (B) Cox regression analysis in the TCGA-LIHC cohort. (C) The Mulberry plot was constructed based on risk groups, clinical stages, sex, age, and survival status. (D) The nomogram was established by combining risk groups with clinicopathological features in the TCGA-LIHC cohort. (E) The calibration curve was applied to assess the predictive accuracy of the nomogram. (F) Decision curve analysis of nomogram (1-, 3-, 5- year). (G) The K-M curves for different clinical stages were built using the TCGA-LIHC cohort. * P < 0.05, ** P < 0.01, *** P < 0.001, ns: The difference is not significant

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BMC Medical Genomics

ISSN: 1755-8794

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