Correlations of PTTG1 and UBE2C with prognosis of liver cancer based on bioinformatics analysis
10.13602/j.cnki.jcls.2025.01.10
- VernacularTitle:基于生物信息学分析PTTG1和UBE2C与肝癌预后的相关性
- Author:
Lichao CAO
1
;
Ying BA
;
Fang CHEN
;
Long XU
;
Chendi YU
;
Xiaoping LU
;
Hezi ZHANG
Author Information
1. 深圳市核子基因科技有限公司,广东 深圳 518071
- Publication Type:Journal Article
- Keywords:
liver cancer;
T cell;
NK cell;
bioinformatics;
prognostic model
- From:
Chinese Journal of Clinical Laboratory Science
2025;43(1):50-58
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the T/NK cell-related differentially expressed genes(T/NK-DEGs)related to the prognosis of liver cancer based on the single-cell RNA-seq data,gene expression data and clinical information in the GEO and TCGA databases,and construct the prognostic model of liver cancer.Methods The single-cell RNA-seq data and gene expression matrices of liver cancer were obtained from the GEO database.The TCGA-LIHC cohorts,including mRNA expression data,clinical information,survival infor-mation,and somatic mutation data,were obtained from the TCGA database.Based on the two databases,the prognostic model of liver cancer patients was constructed by the bioinformatics method,and the performance of the model was predicted.Results Two T/NK-DEGs,PTTG1 and UBE2C,were identified to be associated with the prognosis of liver cancer and a prognostic model of liver cancer was constructed based on them.According to the risk score,the patients were divided into the high-risk score group and low-risk score group,in which the patients with high-risk score had a worse prognosis than those with low-risk score.The areas under the receiv-er operating characteristics(ROC)curve(AUCROC)of the prognostic model at 1-year,3-year and 5-year time points were 0.685,0.647 and 0.594,respectively.The higher risk score was correlated with the advanced pathological stage(Ⅰstage,Ⅱstage,andⅢstage)and T-stage(T1,T2,and T3)(P＜0.05).The prognostic model was able to predict the proportion of tumor infiltrating immune cells,and the sensitivity of immunotherapy and chemotherapy drugs in patients with liver cancer.Conclusion The constructed prog-nostic model in this study has an important role in the prediction of individualized survival and clinical treatment response of patients with liver cancer.
