基于TGF-β相关基因构建并验证子宫内膜癌风险预后模型OACSTPCD

Objective:To explore an endometrial cancer(EC)prognostic model based on TGF-β-related genes to accurately evaluate the prognosis of EC patients.Methods:Download the gene expression data and clinical data of EC patients from the TCGA database.We screened TGF-β-related genes that were differentially expressed in EC and normal tissues.Single factor regression analysis was used to screen for genes associated with endometrial cancer prognosis.The whole TCGA population was further divided into training set and verification set according to 1∶1 ratio.Multivariate Cox regression analysis was performed on the training set population to build a risk prognosis model,and survival analysis and ROC curve analysis were used to veri-fy the prediction accuracy of the prognosis model in the validation set and the whole set.We al-so analyzed the correlation between the clinical features and the model,and established a Nomo-gram based on the TGF-β-related gene prognostic model and independent prognostic clinical features.In addition,we validated the effect of BMPR1B on EC biological function in vitro.Re-sults:We constructed and validated the EC prognostic model of six TGF-β-related genes(PPP2R1B,GDF7,E2F5,BMPR1B,GDF6,TNF).K-M curve analysis suggested that patients with high risk score had worse prognosis than those with low risk score.ROC curve analysis sug-gested that this prognostic model had good accuracy in predicting the 1,3,and 5-year survival rate of patients.GESA enrichment analysis showed that high-risk patients had significant im-provements in cell cycle and DNA replication compared with low-risk patients.A Nomogram was constructed based on TGF-β-related genes and clinical characteristics,and the calibration curve evaluated its prediction accuracy.Further,we found that knocking down the expression of BM-PR1B could significantly inhibit the proliferation,migration,and invasion of EC.Conclusions:In this study,we constructed and validated a TGF-β-related gene prognostic model for EC pa-tients,which can be used to accurately predict the prognosis of EC patients,and construct a No-mogram based on independent prognostic factors to help clinicians accurately judge the progno-sis of patients and make the best clinical decision.In addition,we found that BMPR1B is a po-tential therapeutic target for EC.