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Prediction of prognosis and identification of potential therapeutic agents for liver cancer patients based on acetyl-coa carboxylase 1-associated dendritic cell / 中国现代医生
China Modern Doctor ; (36): 82-86,95, 2024.
Article em Zh | WPRIM | ID: wpr-1038187
Biblioteca responsável: WPRO
ABSTRACT
@#Objective To investigate the expression,prognostic value of acetyl-coa carboxylase 1(ACACA)gene in liver cancer,its correlation with immune cells,and to construct a prognostic model.Methods Integrating genotype-tissue expression(GTEx)and the cancer genome atlas(TCGA)data to analyze ACACA expression in cancers and adjacent tissues,and perform prognosis analysis.Examine the correlation between ACACA and immune cells.Use GSE156625 cell RNA seq(scRNA-seq)data to study ACACA expression in dendritic cells(DCs).Construct an hepatocellular carcinoma(HCC)prognosis model based on apolipoprotein c-Ⅰ(APOC1)and apolipoprotein c-Ⅲ(APOC3),using Kaplan-Meier survival curves and time-dependent receiver operator characteristic(ROC)curves to evaluate prognostic capability,and analyze the effect of traditional Chinese medicine components on APOC1 and APOC3 through molecular docking.Results ACACA shows significant differential expression in various cancers and is associated with the prognosis of liver cancer.High expression of ACACA reduces the content of dendritic cells.APOC1 and APOC3,the major DCs marker genes,were positively correlated with ACACA expression.Using Kaplan-Meier curves,we predicted the 1-year,3-year,and 5-year overall survival(OS)probabilities for HCC patients in the TCGA cohort,and confirmed the reliability through calibration curve analysis.Salvianolic acid B,Asiaticoside,and Neohesperidin may have potential effects on APOC1 and APOC3.Conclusion ACACA is closely related to HCC prognosis,and the prognostic model based on APOC1 and APOC3 can serve as a predictive indicator.Some traditional Chinese medicine components may hold therapeutic potential for HCC treatment.
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Texto completo: 1 Índice: WPRIM Idioma: Zh Revista: China Modern Doctor Ano de publicação: 2024 Tipo de documento: Article
Texto completo: 1 Índice: WPRIM Idioma: Zh Revista: China Modern Doctor Ano de publicação: 2024 Tipo de documento: Article