Objective:To explore the predictive value of the combined application of total prostate-specific antigen (TPSA), vascular endothelial growth factor A (VEGF-A), and interleukin (IL) in predicting postoperative biochemical recurrence in patients with prostate cancer.Methods:This study adopted a retrospective cohort research method. 202 male prostate cancer patients who visited Xi′an Gaoxin Hospital from April 2021 to January 2024 were selected as the research subjects. The age of the patients was 68(64, 71) years, and their postoperative conditions were classified into the non-recurrence group ( n=144) and the biochemical recurrence group ( n=58). The general clinical data and serumological test indicators SA, free prostate-specific antigen (FPSA), VEGF-A, IL-6, IL-17] were detected and compared between the two groups. Quantitative data with normal distribution were expressed as mean±standard deviation, and the comparison between groups was performed using the independent sample t-test; non-normal distribution quantitative data were expressed as M( Q1, Q3), and the comparison between groups was performed using the Mann-Whitney U test. The comparison between groups of count data was performed using the chi-square test. Through Spearman correlation analysis and multivariate Logistic regression analysis, the risk factors for biochemical recurrence after surgery in prostate cancer patients were screened out, and the efficacy of the combined prediction model based on TPSA, VEGF-A, and IL-17 was evaluated by receiver operating characteristic (ROC) curve, decision curve (DCA), and calibration curve. Results:The average tumor diameter, proportion of positive surgical margins, proportion of seminal vesicle invasion, and proportion of patients with Gleason score 3-5 in the biochemical recurrence group were significantly higher than those in the non-recurrence group ( P<0.05). The serumological indicators TPSA, VEGF-A, IL-6, IL-17 in the biochemical recurrence group were 44.28 (42.37, 48.57) ng/mL, (28.24±3.99) ng/mL, (39.14±2.95) ng/L and (66.64±6.04) pg/mL; those in the non-recurrence group were 41.25 (36.61, 43.56) ng/mL, (23.52±3.75) ng/mL, (37.19±4.19) ng/L, and (57.31±6.63) pg/mL. The biochemical recurrence group was higher than the non-recurrence group, and the difference was statistically significant ( P<0.05). Spearman correlation analysis and Logistic regression analysis found that TPSA, VEGF-A, and IL-17 were risk factors for biochemical recurrence after surgery in prostate cancer patients ( P<0.05); the DCA curve and calibration curve indicated that the combined prediction model based on TPSA, VEGF-A, and IL-17 had good accuracy (Hosmer-Lemeshow P=0.421), and the ROC curve suggested that the efficacy of the above indicators combined for predicting biochemical recurrence after surgery in prostate cancer patients was higher [AUC (95% CI)=0.899 (0.832-0.966)], and higher than the independent predictive efficacy of each indicator. Conclusion:Continuous monitoring of serum TPSA, VEGF-A, and IL-17 levels can effectively predict the risk of postoperative recurrence in prostate cancer patients and also provide biological markers for preventing disease recurrence.

【Objective】 To investigate the risk factors and predictive effectiveness of prostate imaging reporting and data system (PI-RADS) score for patients with clinically significant prostate cancer (CsPCa) whose PI-RADS score was 3, so as to provide evidence for the diagnosis and treatment. 【Methods】 The clinical and multi-parameter magnetic resonance imaging (mpMRI) data of 153 CsPCa patients treated during Jan.2017 and Dec.2021 whose PI-RADS score was 3 were retrospectively analyzed. With PI-RADS score of 3 as the independent risk factor for CsPCa, the other relevant independent risk factors in predicting CsPCa were evaluated. 【Results】 Univariate and multivariate analyses showed that prostate-specific antigen (PSA) density and apparent dispersion coefficient (ADC) were independent risk factors for the diagnosis of CsPCa (P<0.05). Analysis of receiver operating characteristic (ROC) curve showed that combined PSA density and ADC were more effective than PSA density and ADC alone (P<0.05). 【Conclusion】 The combination of PSA density and ADC can guide clinicians to identify high-risk CsPCa patients from patients with PI-RADS score of 3 points.

0.05).②blood test and gastrointestinal reaction of the two groups one month after operation:The leukocytopenia(