Perioperative Outcomes of Transurethral Resection, Open Prostatectomy, and Laser Therapy in the Surgical Treatment of Benign Prostatic Obstruction: A "Real-World" Data Analysis from the URO-Cert Prostate Centers.

INTRODUCTION: The aim of the study is to compare length of hospital stay, transfusion rates, and re-intervention rates during hospitalization for transurethral resection of the prostate (TUR-P), open prostatectomy (OP), and laser therapy (LT) for surgical treatment of benign prostatic obstruction (BPO). METHODS: URO-Cert is an organization, in which clinical data of prostatic diseases from 2 university, 19 public, and 3 private hospitals and 270 office-based urologists are collected in order to document treatment quality. Data on diagnostics, therapy, and course of disease are recorded web based. The analysis includes datasets from 2005 to 2017. RESULTS: Of 10,420 patients, 8,389 were treated with TUR-P, 1,334 with OP, and 697 with LT. Median length of hospital stay was 6 days (IQR: 4-7) for TUR-P, 9 days (IQR: 7-11) for OP, and 5 days (IQR: 4-6) for LT (p < 0.001). Risk for a hospital stay ≥7 days was higher for OP versus TUR-P (OR: 7.25; 95% CI = 6.27-8.36; p < 0.001) and LT (OR: 17.89; 95% CI = 14.12-22.65; p < 0.001) and higher for TUR-P versus LT (OR: 2.47; 95% CI = 2.03-3.01; p < 0.001). OP had a significantly higher risk for transfusions than TUR-P (OR: 2.44; 95% CI = 1.74-3.41; p < 0.001) and LT (OR: 3.32; 95% CI = 1.56-7.01; p < 0.001). Transfusion rates were not significantly different between TUR-P and LT (OR: 1.36; 95% CI = 0.66-2.79; p = 0.51). Risk of re-intervention was not different between all 3 approaches. CONCLUSION: OP was associated with higher transfusion rates and longer hospital stay than TUR-P and LT. Risk of transfusion was not different between TUR-P and LT, but TUR-P was inferior to LT concerning length of hospital stay. Re-intervention rates during hospitalization did not differ between the groups.

Clinicopathological Significance of Exosomal Proteins CD9 and CD63 and DNA Mismatch Repair Proteins in Prostate Adenocarcinoma and Benign Hyperplasia.

INTRODUCTION: Recently, it has been shown that exosomal biomarkers and DNA mismatch repair proteins (MMR) could play an important role in cancer risk stratification and prognosis assessment. The gold standard for prostate carcinoma (PCa) diagnosis is biopsy and histopathological examination. Thus, the complex evaluation of exosomal and MMR proteins could be beneficial for prostate cancer risk stratification and diagnostics. The aim of the current study was to evaluate and compare the expression of exosomal proteins CD9 and CD63 and MMR proteins in the tissue of patients with prostate benign hyperplasia (BPH) and PCa. METHODS: The study was retrospective. Altogether, 92 patients with PCa and 20 patients with BPH (control group) were enrolled in the study. Exosomal and MMR protein expression was analyzed by immunohistochemistry (IHC). The follow-up for each PCa patient in our study lasted till disease progression and/or a maximum of 5 years. RESULTS: Low-grade PCa was observed in 56 patients and high-grade PCa in 36 patients. CD63 expression was significantly higher in patients with high-grade PCa compared to those with low-grade PCa. CD9 expression was significantly downregulated in PCa patients compared to the control group. MMR protein expression deficiency was observed in 10 PCa patients. MMR proteins were maintained in all cases of BPH. The study found a negative correlation between MMR protein loss and PCa ISUP grade groups. Progression-free survival (PFS) in patients with MMR deficiency was significantly shorter than in patients with maintained MMR expression. CONCLUSIONS: CD9 protein expression was downregulated in PCa, compared to BPH, while CD63 protein expression was upregulated in high-grade PCa but downregulated in low-grade PCa. CD63 protein upregulation, CD9 downregulation, and loss of MMR protein characterized the shorter PFS of high-grade PCa patients. CD9, CD63, and MMR could be the routine immunohistochemical biomarkers for the diagnosis and risk stratification of PCa.