A Pyroptosis-Related Gene Prognostic Index For Hepatocellular Carcinoma
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Abstract
Hepatocellular carcinoma, also known as HCC, is the third most common cancer-related cause of death globally. The specific prognostic model is crucial for HCC treatment strategies. Pyroptosis is a novel pathway for programmed cell death downstream of inflammasome activation. There are few prognostic evaluations of pyroptosis to HCC. In this work, 3 pyroptosis-related differentially expressed genes (DEGs) were found in 374 HCC patients and normal tissue from the TCGA database. These genes are BAX, GSDMD, and BAK1. Afterwards, based on the 3 DEGs with significant differences, we established 2 clusters by consensus cluster analysis. By using Cox univariate analysis, LASSO Cox regression analysis, and well-validated results from the ICGC cohort, we created a 7-gene risk pattern to further assess the prognostic usefulness of the genes connected to pyroptosis. Analysis of the Kyoto Encylopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) indicated unique metabolism-related pathways in the low- and high-risk groups. In addition, we discovered that the high-risk group had fewer immune cells and pathways that had been penetrated. We come to the conclusion that pyroptosis-related genes play significant roles in tumor immunity and can be used to forecast the prognosis of HCC.In order to identify viable medications, we also carried out batch molecular docking on thousands of interacting chemicals and prognostic molecules. We discovered Paclitaxel, Docetaxel, Dactinomycin, Ivermectin, and other medications from the docking data, and we also demonstrated the impact of their interactions.
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