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.

One of the most frequent gastrointestinal cancers in the world is colorectal cancer (Coad). Iron degradation might be caused by an imbalance in intracellular iron metabolism. The modification of the immune milieu and the success of tumor immunotherapy are both significantly impacted by hypertrophy. The onset and progression of cancer are both impacted by the imbalance of iron metabolism. My study is now heavily focused on how to use ferrite in conjunction with immunotherapy to prevent the growth of colon adenocarcinoma.Unknown potential indicators of iron metabolism and immunological control in COAD still exist. We used LASSO regression to model the best iron death prognosis in COAD patients, and survival analysis and ROC curves were used to assess the predictive value in the training cohort and external validation cohort. We carried out pathway analysis and immune infiltration to confirm the efficacy of our model and to identify the prognostic indicators that we are interested in. Additionally, we demonstrated the intermolecular interactions between the prognostic molecule and hundred of other chemicals using batch molecular docking. In this manner, useful therapeutic compounds can be discovered.

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