Screening of key cuprotosis-related genes and construction of a prognostic signature for cervical cancer based on the gene set itself
Objective To study the distinct expression of cuprotosis-related genes in cervical cancer(CC)tissues.A prognostic signature for survival analysis based on TCGA database is constructed.Methods The genetic data source was preprocessed,gene correlation and differential gene were screened using TCGA database.Lasso function and Cox were used for regression analysis,and risk signature was constructed,risk scores were calculated,and independent prognostic analysis was performed.Finally,drug sensitivity analysis was carried out for patients with cervical cancer.Results(i)The K-M survival curve showed that the overall survival rate of the low-risk group was significantly higher than that of the high-risk group(P<0.05).(ii)The areas under AUC survival curves were respectively 0.630,0.675 and 0.686.(iii)Multivariate Cox regression showed that DBT may be a risk factor for cervical cancer(P<0.05).(iv)2 compounds may be potential active ingredients for cervical cancer.Conclusion The prognostic signature of cervical cancer patients is successfully constructed based on TCGA database,which can accurately evaluate the prognosis of patients and provide a new method for the treatment of cervical cancer.