LI YANG1,2, KUN DENG3, ZHIQIANG MOU1,2, PINGFU XIONG1,2, JIAN WEN1,2, JING LI1,2,*
Oncology Research, Vol.30, No.5, pp. 243-258, 2022, DOI: 10.32604/or.2022.027958
Abstract Background: Considering the great heterogeneity of Hepatocellular carcinoma (HCC), more accurate
prognostic models are urgently needed. This paper combined the advantages of genomics and pathomics to construct
a prognostic model. Methods: First, we collected data from hepatocellular carcinoma patients with complete mRNA
expression profiles and clinical annotations from the TCGA database. Then, based on immune-related genes, we used
random forest plots to screen prognosis-related genes and build prognostic models. Bioinformatics was used to
identify biological pathways, evaluate the tumor microenvironment, and perform drug susceptibility testing. Finally,
we divided the patients into different subgroups according to the gene model algorithm. Pathological… More >
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