Bioinformatics analysis of telomere-associated gene KPNA2 as a prognostic core gene in hepatocellular carcinoma and prediction of Chinese medicine
Objective:To explore telomere-related liver cancer differential genes and predict their related Chinese medicines,so as to provide telomere-related TCM theories for the treatment of liver cancer patients,and explore new ways for the modemization of TCM.Methods:The liver cancer-related data in TCGA database was downloaded and sorted out.The data of 242 liver cancer patients from the GSE14520 data set in GEO database was used as the validation data set.The difference of gene expression values were analyzed by DESeq2 function in R language software.GeneCards database,KEGG database,GO database,and NCBI database were used to retrieve telomere-related genes.The LASSO regression of liver cancer gene expression values was performed by the Glmnet function in R language software to further screen for prognostic key genes.The intersection of the above three gene sets was taken to obtain the telomere-related core genes of hepatocellular carcinoma.The feasibility of the core genes was verified through survival analysis,clinical analysis,and enrichment analysis.The core gene-related Chinese medicines were predicted by CTD database and COREMINE database.The predicted Chinese medicines were analyzed based on the frequencies of medicinal properties,medicinal flavors,and the attributed meridians.Results:The differential analysis identified a total of 4 547 hepatocellular carcinoma differential genes,including 1 198 down-regulated genes and 3 349 up-regulated genes.A total of 2 173 telomere-associated genes were retrieved from various gene databases.Eight prognostic key genes were screened out from liver cancer genes through LASSO regression analysis.One hepatocellular carcinoma telomere-associated core gene,KPNA2,was obtained through the intersection of the three gene sets.The single-gene survival analysis showed that KPNA2 was a poor prognostic expression gene in hepatocellular carcinoma patients,and the ROC curve was better.The gene expression of KPNA2 was also significantly associated with tumor stage.KPNA2 was verified to have a telomere-associated bioprocess through GSEA enrichment analysis.A total of 74 Chinese medicines were mapped to KPNA2.The medicinal properties were mainly warm,moderate,and cold,and medicinal flavors were mainly sweet,pungency,and bitterness.The attributed meridians were mostly the lung meridian,liver meridian,and spleen meridian.According to the efficacy classification,most of them were medicines for tonifying,resolving phlegm,and promoting blood circulation and removing blood stasis.Conclusion:This study revealed telomere-related genes and diagnostic markers in hepatocellular carcinoma and explored the medication rule of corresponding Chinese medicines,so as to provide new insights for the clinical treatment of hepatocellular carcinoma in traditional Chinese medicine and the research and development of new medicines.
BioinformaticsHepatocellular carcinomaTelomereChinese medicine prediction
万方数据
维普
