This paper summarized the common medical ethical issues in clinical pharmacy service and analyzed them from the perspective of medical ethics.It put forward some countermeasures to solve these problems,such as helping clinical pharmacists to establish a patient-centered service mode,improving their occupation accomplish-ment,and avoiding moral issues and medical disputes caused by ethical issues under the premise of ensuring pa-tients' safety and rational use of drugs,and thus to comprehensively improve service level of clinical pharmacists.

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.