Research Paper Volume 15, Issue 14 pp 6848—6864
The integration of machine learning and multi-omics analysis provides a powerful approach to screen aging-related genes and predict prognosis and immunotherapy efficacy in hepatocellular carcinoma
Figure 9. Experiment in vitro and in vivo. (A) Expression of FXR1, NDRG1 and TFDP1 was significantly higher in hepatocellular carcinoma tissues than in normal liver tissues by GEO dataset. (B) The expression of FXR1, NDRG1 and TFDP1 was found to be significantly higher in three types of hepatocellular carcinoma cells than in normal hepatocytes by RT-qPCR assay. (C) The expression of FXR1 and NDRG1 was found to be significantly higher in hepatocellular carcinoma tissues than in normal liver tissues using the HPA database.