Purpose: We compared success rates of 3 surgical techniques (holmium laser enucleation of the prostate [HoLEP], transurethral resection of the prostate [TURP], and photoselective laser vaporization prostatectomy [PVP]) for treatment of benign prostatic obstruction (BPO). We aimed to identify preoperative clinical variables and urodynamic parameters that predict surgical success. Methods: A total of 483 patients who underwent surgical treatment for BPO at Samsung Medical Center between 2006 and 2017 were retrospectively analyzed; of these 361, 81, and 41 patients underwent HoLEP, TURP, and PVP, respectively. Prostate-specific antigen, prostate volume, urodynamic parameters, and International Prostate Symptom Score (IPSS)/quality of life (QoL) index were evaluated preoperatively; uroflowmetry, postvoid residual urine, and IPSS/QoL index were measured 6 months postoperatively. Surgical success was defined based on IPSS, maximum flow rate, and QoL index and predictive factors were identified using multiple logistic regression analyses. Results: Success rates of HoLEP, TURP, and PVP were 67.6%, 65.4%, and 34.1%, respectively, and the HoLEP and TURP groups were not significantly different. Regression analysis revealed prostate volume ≥50 mL and bladder outlet obstruction index (BOOI) ≥40 to be independent factors predicting HoLEP success. Only high preoperative QoL could predict the success of TURP, whereas other urodynamic parameters remained unrelated. Conclusions Patients treated with HoLEP and TURP displayed equivalent efficacies, but PVP was relatively less efficient than both. Preoperative variables of prostate volume ≥50 mL and BOOI ≥40 were independent predictive factors for the success of HoLEP but not of TURP.

Purpose: We compared success rates of 3 surgical techniques (holmium laser enucleation of the prostate [HoLEP], transurethral resection of the prostate [TURP], and photoselective laser vaporization prostatectomy [PVP]) for treatment of benign prostatic obstruction (BPO). We aimed to identify preoperative clinical variables and urodynamic parameters that predict surgical success. Methods: A total of 483 patients who underwent surgical treatment for BPO at Samsung Medical Center between 2006 and 2017 were retrospectively analyzed; of these 361, 81, and 41 patients underwent HoLEP, TURP, and PVP, respectively. Prostate-specific antigen, prostate volume, urodynamic parameters, and International Prostate Symptom Score (IPSS)/quality of life (QoL) index were evaluated preoperatively; uroflowmetry, postvoid residual urine, and IPSS/QoL index were measured 6 months postoperatively. Surgical success was defined based on IPSS, maximum flow rate, and QoL index and predictive factors were identified using multiple logistic regression analyses. Results: Success rates of HoLEP, TURP, and PVP were 67.6%, 65.4%, and 34.1%, respectively, and the HoLEP and TURP groups were not significantly different. Regression analysis revealed prostate volume ≥50 mL and bladder outlet obstruction index (BOOI) ≥40 to be independent factors predicting HoLEP success. Only high preoperative QoL could predict the success of TURP, whereas other urodynamic parameters remained unrelated. Conclusions Patients treated with HoLEP and TURP displayed equivalent efficacies, but PVP was relatively less efficient than both. Preoperative variables of prostate volume ≥50 mL and BOOI ≥40 were independent predictive factors for the success of HoLEP but not of TURP.

PURPOSE: The current study is aimed to assess whether a longer duration of 5α-reductase inhibitor (5α-RI) exposure was associated with higher rate of permanent erectile dysfunction (ED) in a rat model. MATERIALS AND METHODS: Male Sprague-Dawley rats (n=76) were assigned to five groups: (i) normal control group; (ii) dutasteride (0.5 mg/rat/d) for 4-weeks group; (iii) dutasteride for 4-weeks plus 2-weeks of resting group; (iv) dutasteride for 8-weeks group; and (v) dutasteride for 8-weeks plus 2-weeks of resting group. In vivo erectile responses to electrical stimulation, and changes of fibrotic factors and smooth muscle/collagen contents in the corpus cavernosum were evaluated in each group. RESULTS: Dutasteride administration for 4 and 8 weeks significantly decreased erectile parameters compared with the control group. Reduced erectile responses were recovered during 2 weeks of drug-free time in the 4-week treatment group, but were not in the 8-week group. Protein levels of fibrosis-related factors transforming growth factor (TGF)-β1, TGF-β2, and p-Smad/Smad (Smad 2/3) in the corpus cavernosum showed no significant change after 4 weeks of dutasteride oral administration, but were enhanced after 8 weeks. Dutasteride markedly decreased smooth muscle content and increased collagen after 4 and 8 weeks of use, but no nuclear size changes; however, neither group showed significant improvement in the smooth muscle to collagen ratio after the rest period. CONCLUSIONS: Our study showed that recovery from ED depended on the duration of medication, and administration of dutasteride for more than 8-weeks in rats could result in irreversible ED even after discontinuation of medication.
5-alpha Reductase Inhibitors ; Administration, Oral ; Animals ; Collagen ; Dutasteride ; Electric Stimulation ; Erectile Dysfunction ; Finasteride ; Humans ; Male ; Models, Animal ; Muscle, Smooth ; Oxidoreductases ; Rats ; Rats, Sprague-Dawley ; Transforming Growth Factors

This study aimed to assess the prognostic role of body mass index (BMI) in patients with metastatic renal cell carcinoma (mRCC) treated with first-line immune checkpoint inhibitor (ICI)-based therapy. We searched for relevant studies in the MEDLINE, Embase, and Cochrane Library databases. The initial search yielded 599 records, of which seven articles (2,517 patients) were selected for analysis. Patients with a high BMI had a favorable overall survival (OS) based on hazard ratio (HR) (crude HR 0.69, 95% confidence interval [CI] 0.57–0.83, p<0.0001; adjusted (a)HR 0.75, 95% CI 0.59–0.95, p=0.02), but not relative risk (RR 0.88, 95% CI 0.67–1.16, p=0.37). In the subgroup analysis, patients with a high BMI had better OS in the ICI with tyrosine kinase inhibitor (TKI) subgroup (aHR 0.71, 95% CI 0.55–0.92, p=0.01), while no significant difference was found in the ICI-only subgroup (aHR 1.02, 95% CI 0.56–1.87, p=0.95). Adjusted statistics for progression-free survival (PFS) were assessable in predominantly ICI-only studies and demonstrated a favorable outcome for patients with a low BMI (aHR 1.67, 95% CI 1.14–2.45, p=0.01). In conclusion, the impact of high BMI varies depending on the treatment type, exhibiting a favorable correlation with OS within ICI with TKI subgroup, but indicating an adverse association with PFS in the ICI-only subgroup. Further research is needed to clarify the influence of BMI by stratifying patients into ICI-only and ICI with TKI treatment to provide more insights.

Background: To evaluate the strategy for detection of prostate cancer (PCa) with low prostate specific antigen (PSA) level (2.5–4.0 ng/mL), prostate biopsy patients with low PSA were assessed. We evaluated the risk of low PSA PCa and the strategy for screening low-PSA patients. Methods: We retrospectively analyzed the patients who underwent prostate biopsy with low PSA level. Baseline characteristics, PSA level before prostate biopsy, prostate volume, prostate specific antigen density (PSAD), and pathological data were assessed. Results: Among the 1986 patients, 24.97% were diagnosed with PCa. The PSAD was 0.12 ± 0.04 ng/mL2 in the PCa-diagnosed group and 0.10 ± 0.04 ng/mL2 in non-cancer-diagnosed group (P < 0.001). Of the 496 patients diagnosed with PCa, 302 (60.89%) were in the intermediate- or high-risk group. PSAD was 0.13 ± 0.04 ng/mL2 in the intermediate- or highrisk group and 0.11 ± 0.03 ng/mL2 in the very low- and low-risk group (P < 0.001). Of 330 patients who underwent radical prostatectomy, 85.15% were diagnosed as having significant cancer. There was significant correlation between PSAD and PCa (r = 0.294, P < 0.001).PSAD with a specificity of 80.00% of a clinically significant cancer diagnosis was assessed at 0.1226 ng/mL2 . Conclusion The PCa detection rate in the low-PSA group was not lower than that of previous studies of patients with PSA from 4.0 to 10.0 ng/mL. Further, it may be helpful to define a strategy for PCa detection using PSAD in the low-PSA group.

This study aimed to assess the prognostic role of body mass index (BMI) in patients with metastatic renal cell carcinoma (mRCC) treated with first-line immune checkpoint inhibitor (ICI)-based therapy. We searched for relevant studies in the MEDLINE, Embase, and Cochrane Library databases. The initial search yielded 599 records, of which seven articles (2,517 patients) were selected for analysis. Patients with a high BMI had a favorable overall survival (OS) based on hazard ratio (HR) (crude HR 0.69, 95% confidence interval [CI] 0.57–0.83, p<0.0001; adjusted (a)HR 0.75, 95% CI 0.59–0.95, p=0.02), but not relative risk (RR 0.88, 95% CI 0.67–1.16, p=0.37). In the subgroup analysis, patients with a high BMI had better OS in the ICI with tyrosine kinase inhibitor (TKI) subgroup (aHR 0.71, 95% CI 0.55–0.92, p=0.01), while no significant difference was found in the ICI-only subgroup (aHR 1.02, 95% CI 0.56–1.87, p=0.95). Adjusted statistics for progression-free survival (PFS) were assessable in predominantly ICI-only studies and demonstrated a favorable outcome for patients with a low BMI (aHR 1.67, 95% CI 1.14–2.45, p=0.01). In conclusion, the impact of high BMI varies depending on the treatment type, exhibiting a favorable correlation with OS within ICI with TKI subgroup, but indicating an adverse association with PFS in the ICI-only subgroup. Further research is needed to clarify the influence of BMI by stratifying patients into ICI-only and ICI with TKI treatment to provide more insights.

This study aimed to assess the prognostic role of body mass index (BMI) in patients with metastatic renal cell carcinoma (mRCC) treated with first-line immune checkpoint inhibitor (ICI)-based therapy. We searched for relevant studies in the MEDLINE, Embase, and Cochrane Library databases. The initial search yielded 599 records, of which seven articles (2,517 patients) were selected for analysis. Patients with a high BMI had a favorable overall survival (OS) based on hazard ratio (HR) (crude HR 0.69, 95% confidence interval [CI] 0.57–0.83, p<0.0001; adjusted (a)HR 0.75, 95% CI 0.59–0.95, p=0.02), but not relative risk (RR 0.88, 95% CI 0.67–1.16, p=0.37). In the subgroup analysis, patients with a high BMI had better OS in the ICI with tyrosine kinase inhibitor (TKI) subgroup (aHR 0.71, 95% CI 0.55–0.92, p=0.01), while no significant difference was found in the ICI-only subgroup (aHR 1.02, 95% CI 0.56–1.87, p=0.95). Adjusted statistics for progression-free survival (PFS) were assessable in predominantly ICI-only studies and demonstrated a favorable outcome for patients with a low BMI (aHR 1.67, 95% CI 1.14–2.45, p=0.01). In conclusion, the impact of high BMI varies depending on the treatment type, exhibiting a favorable correlation with OS within ICI with TKI subgroup, but indicating an adverse association with PFS in the ICI-only subgroup. Further research is needed to clarify the influence of BMI by stratifying patients into ICI-only and ICI with TKI treatment to provide more insights.

This study aimed to assess the prognostic role of body mass index (BMI) in patients with metastatic renal cell carcinoma (mRCC) treated with first-line immune checkpoint inhibitor (ICI)-based therapy. We searched for relevant studies in the MEDLINE, Embase, and Cochrane Library databases. The initial search yielded 599 records, of which seven articles (2,517 patients) were selected for analysis. Patients with a high BMI had a favorable overall survival (OS) based on hazard ratio (HR) (crude HR 0.69, 95% confidence interval [CI] 0.57–0.83, p<0.0001; adjusted (a)HR 0.75, 95% CI 0.59–0.95, p=0.02), but not relative risk (RR 0.88, 95% CI 0.67–1.16, p=0.37). In the subgroup analysis, patients with a high BMI had better OS in the ICI with tyrosine kinase inhibitor (TKI) subgroup (aHR 0.71, 95% CI 0.55–0.92, p=0.01), while no significant difference was found in the ICI-only subgroup (aHR 1.02, 95% CI 0.56–1.87, p=0.95). Adjusted statistics for progression-free survival (PFS) were assessable in predominantly ICI-only studies and demonstrated a favorable outcome for patients with a low BMI (aHR 1.67, 95% CI 1.14–2.45, p=0.01). In conclusion, the impact of high BMI varies depending on the treatment type, exhibiting a favorable correlation with OS within ICI with TKI subgroup, but indicating an adverse association with PFS in the ICI-only subgroup. Further research is needed to clarify the influence of BMI by stratifying patients into ICI-only and ICI with TKI treatment to provide more insights.