Résumé
Objective To investigate the relationship of preoperative level of serum anterior gradient 2 (AGR2)with clinicopathological features and prognosis of patients with prostate cancer. Methods The serum levels of AGR2 were detected by ELISA in 72 patients with prostate cancer, 30 patients with benign prostatic hyperplasia (BPH) and 20 healthy controls. The receiver operating characteristic (ROC) curve was drawn to determine the optimal cut-off value of clinical diagnosis, and to analyze the diagnostic value of serum AGR2 in prostate cancer. Kaplan-Meier method was used to plot the survival curve. Log-rank test was used to analyze the difference of survival time between the two groups. The effect of AGR2 on the prognosis of prostate cancer patients was analyzed by Cox regression. Results The level of serum AGR2 in prostate cancer group was obviously higher than those in BPH group and health control group (t=4.441, t=5.285, both P<0.01).Serum AGR2 level was correlated with Gleason score,tumor stage, lymph node metastasis and preoperative PSA level (F=11.343, F=9.613, t=3.882, t=7.514, all P<0.01). The area under the ROC curve(AUC) of AGR2 was 0.803(95%CI 0.726-0.880,P=0.000), when the cut-off value was 17.25 ng/ml, the sensitivity rate was 63.9%, specificity rate was 80.0%. Kaplan-Meier survival analysis showed that the survival rate in low AGR2 expression group was significantly higher than that in high AGR2 expression group (χ 2=5.565, P=0.018). Cox regression analysis showed that AGR2 was an independent risk factor for prostate cancer patients (HR=5.412, 95%CI 1.143-25.624, P=0.033). Conclusions The elevated level of serum AGR2 is related with tumor progression in prostate cancer. It may be a potential marker for predicting prognosis of patients with prostate cancer.
Résumé
Objective To investigate the relationship of preoperative level of serum anterior gradient 2 (AGR2)with clinicopathological features and prognosis of patients with prostate cancer. Methods The serum levels of AGR2 were detected by ELISA in 72 patients with prostate cancer, 30 patients with benign prostatic hyperplasia (BPH) and 20 healthy controls. The receiver operating characteristic (ROC) curve was drawn to determine the optimal cut-off value of clinical diagnosis, and to analyze the diagnostic value of serum AGR2 in prostate cancer. Kaplan-Meier method was used to plot the survival curve. Log-rank test was used to analyze the difference of survival time between the two groups. The effect of AGR2 on the prognosis of prostate cancer patients was analyzed by Cox regression. Results The level of serum AGR2 in prostate cancer group was obviously higher than those in BPH group and health control group (t=4.441, t=5.285, both P<0.01).Serum AGR2 level was correlated with Gleason score,tumor stage, lymph node metastasis and preoperative PSA level (F=11.343, F=9.613, t=3.882, t=7.514, all P<0.01). The area under the ROC curve(AUC) of AGR2 was 0.803(95%CI 0.726-0.880,P=0.000), when the cut-off value was 17.25 ng/ml, the sensitivity rate was 63.9%, specificity rate was 80.0%. Kaplan-Meier survival analysis showed that the survival rate in low AGR2 expression group was significantly higher than that in high AGR2 expression group (χ 2=5.565, P=0.018). Cox regression analysis showed that AGR2 was an independent risk factor for prostate cancer patients (HR=5.412, 95%CI 1.143-25.624, P=0.033). Conclusions The elevated level of serum AGR2 is related with tumor progression in prostate cancer. It may be a potential marker for predicting prognosis of patients with prostate cancer.
Résumé
Objective To establish an assessment model of financial risk exposure for the county-levelpublic hospitals in Inner Mongolia Autonomous Region,which can be used to assess the risk exposure of the hospital in question,and as decision making reference for their financial management and risk prevention and control.Methods Using indicators standardized methods and entropy method to process 1 5 financial indicators (quantitative indicators and qualitative indicators )for the 20 public hospitals,and using the gray clustering method to assess financial risk exposure.Results 70% of the county-level public hospitals are faced with less financial risks,while four of them need to pay close attention,and two have large loopholes pending solution.Conclusions Entropy-Gray clustering methods can complement each other,as found in the study.This study proves its significance,and health authorities should establish their long-term financial risk control mechanisms.