Construction and Validation of Prognostic Risk Scoring Model for Uterine Corpus Endometrial Carcinoma Based on ADME-related Gene Markers
10.3870/j.issn.1004-0781.2024.06.020
- VernacularTitle:基于ADME相关基因标记构建和验证子宫内膜癌预后风险评分模型
- Author:
Yingchen ZHUO
1
;
Suya ZHANG
;
Pengfei SONG
;
Weiyi FENG
Author Information
1. 西安交通大学第一附属医院药学部,西安 710061
- Keywords:
Uterine corpus endometrial carcinoma;
Prognostic prediction model;
Gene signature;
Cancer genome atlas
- From:
Herald of Medicine
2024;43(6):970-976
- CountryChina
- Language:Chinese
-
Abstract:
Objective To construct a prognostic model for uterine corpus endometrial carcinoma(UCEC)using the prognosis-associated ADME genes involved in controlling drug absorption,distribution,metabolism,and excretion(ADME),providing a reference for predicting the prognosis of UCEC and tumor treatment.Methods The gene expression and clinical information data of UCEC were obtained from the TCGA and ICGC databases.Prognosis-related ADME genes were screened using the univariate Cox regression analysis.Least absolute shrinkage and selection operator(LASSO)regression was used to identify optimal prognostic genes,and then a risk score model was constructed.Kaplan-Meier curve and receiver operating characteristic(ROC)curve were constructed to assess predictive capability.R software was used to perform differentially expressed genes anal-ysis,functional enrichment analysis.Results A nine-gene signature(DHRS7B,CYP46A1,SLCO4C1,NR1I2,SLC16A1,SLCO3A1,ARSA,ABCC5,MGST2)was used for constructing a risk score model.Survival analysis showed that the survival time in high-risk patients was significantly shorter than in low-risk patients(the train set:P＜0.001;the test set:P=0.032).The are-as under the ROC curve of the train set and the test set for ROC at 1,3,5 years were 0.792,0.724,0.712,and 0.651,0.620,0.677,respectively.Univariate and multivariate Cox regression analysis showed that the risk score was an independent risk factor for UCEC(HR=1.77,P=0.035).In addition,there was a significant difference in the miRNA-mediated silencing and regulation of sprouting angiogenesis pathways between the high-risk and low-risk score groups.Conclusion The prognosis model con-structed with nine key ADME genes may have the potential to be used for predicting the survival prognosis of patients with UCEC.
