Active Surveillance for Taiwanese Men with Localized Prostate Cancer: Intermediate-Term Outcomes and Predictive Factors.

PURPOSE: Active surveillance (AS) is one of the management options for patients with low-risk and select intermediate-risk prostate cancer (PC). However, factors predicting disease reclassification and conversion to active treatment from a large population of pure Asian cohorts regarding AS are less evaluated. This study investigated the intermediate-term outcomes of patients with localized PC undergoing AS. MATERIALS AND METHODS: This cohort study enrolled consecutive men with localized non-high-risk PC diagnosed in Taiwan between June 2012 and Jan 2023. The study endpoints were disease reclassification (either pathological or radiographic progression) and conversion to active treatment. The factors predicting endpoints were evaluated using the Cox proportional hazards model. RESULTS: A total of 405 patients (median age: 67.2 years) were consecutively enrolled and followed up with a median of 64.6 months. Based on the National Comprehensive Cancer Network (NCCN) risk grouping, 70 (17.3%), 164 (40.5%), 140 (34.6%), and 31 (7.7%) patients were classified as very low-risk, low-risk, favorable-intermediate risk, and unfavorable intermediate-risk PC, respectively. The 5-year reclassification rates were 24.8%, 27.0%, 18.6%, and 25.3%, respectively. The 5-year conversion rates were 20.4%, 28.8%, 43.6%, and 37.8%, respectively. A prostate-specific antigen density (PSAD) of ≥0.15 ng/mL² predicted reclassification (hazard ratio [HR] 1.84, 95% confidence interval [CI] 1.17-2.88) and conversion (HR 1.56, 95% CI 1.05-2.31). A maximal percentage of cancer in positive cores (MPCPC) of ≥15% predicted conversion (15% to <50%: HR 1.41, 95% CI 0.91-2.18; ≥50%: HR 1.97, 95% CI 1.1453-3.40) compared with that of <15%. A Gleason grade group (GGG) of 3 tumor also predicted conversion (HR 2.69, 95% CI 1.06-6.79; GGG 3 vs 1). One patient developed metastasis, but none died of PC during the study period (2,141 person-years). CONCLUSIONS: AS is a viable option for Taiwanese men with non-high-risk PC, in terms of reclassification and conversion. High PSAD predicted reclassification, whereas high PSAD, MPCPC, and GGG predicted conversion.

Protocol for renal ischemia-reperfusion injury by flank incisions in mice.

Ischemia-reperfusion injury (IRI) contributes to acute kidney injury (AKI) and development of chronic kidney disease. We describe an IRI protocol for mice via flank incisions approach, using a pedicle clamp to cause ischemic injury. Compared with trans-abdominal approach, it is technically easier with lesser fluid loss and organ injury. Technical challenges during the dissection of renal pedicles are highlighted. For complete details on the execution of this protocol, please refer to Lai et al. (2014).

Clinical Implications of Nadir Serum Prostate-Specific Antigen Levels After Transurethral Enucleation of the Prostate.

Objective: Prostate-specific antigen levels after transurethral enucleation of the prostate may serve as indicators of residual cancer foci. The objective of this study was to investigate the association between the post-transurethral enucleation of the prostate nadir prostate-specific antigen level and prostate cancer. Materials and Methods: We retrospectively reviewed the data of 428 men who underwent transurethral enucleation of the prostate between March 2015 and April 2021. Based on the following exclusion criteria, we excluded 106 men from our analysis: men with metastatic prostate cancer, incomplete transurethral enucleation of the prostate, and missing prostate-specific antigen or prostate size data. Three hundred and twenty-two patients were finally enrolled in our study. These patients were classified into four groups according to the surgical pathology: benign, transition zone (cancer only in the adenoma or transition zone), peripheral zone, and transition and peripheral zones. The optimal cutoff post-transurethral enucleation of the prostate nadir prostate-specific antigen level that predicted residual prostate cancer was determined using receiver operating characteristic curve analysis. Results: In total, 71 (22.0%) men exhibited prostate cancer (median follow-up, 38.0 months). The benign and combined cancer groups showed similar adenoma removal rates (103.0% and 106.7%, respectively). The median nadir prostate-specific antigen levels after transurethral enucleation of the prostate were 0.76, 0.63, 1.79, and 1.70 ng/ml in the benign, transition zone, peripheral zone, and transition and peripheral zone groups, respectively (p < 0.001), with no difference between the benign and transition zone groups (p = 0.458); this suggested that complete transurethral enucleation of the prostate removed all cancer nests in the adenoma in the transition zone group. Receiver operating characteristic curve analysis showed that nadir prostate-specific antigen ≧1.7 ng/ml predicted residual cancer (area under the curve: 0.787) or cancer with a Gleason score of ≧7 (area under the curve: 0.816) in the remaining prostate. Limitations include the retrospective design and the perioperative peripheral zone biopsy rate. Conclusions: The post-transurethral enucleation of the prostate nadir prostate-specific antigen ≧1.7 ng/ml after complete transurethral enucleation of the prostate can predict significant residual cancer. Prostate cancer patients with low post-transurethral enucleation of the prostate prostate-specific antigen levels can be conservatively managed.

Prostate Health Index Density Outperforms Prostate Health Index in Clinically Significant Prostate Cancer Detection.

BACKGROUND: Prostate-specific antigen (PSA) is considered neither sensitive nor specific for prostate cancer (PCa). We aimed to compare total PSA (tPSA), percentage of free PSA (%fPSA), the PSA density (PSAD), Prostate Health Index (PHI), and the PHI density (PHID) to see which one could best predict clinically significant prostate cancer (csPCa): a potentially lethal disease. METHODS: A total of 412 men with PSA of 2-20 ng/mL were prospectively included. Serum biomarkers for PCa was collected before transrectal ultrasound guided prostate biopsy. PHI was calculated by the formula: (p2PSA/fPSA) x √tPSA. PHID was calculated as PHI divided by prostate volume measured by transrectal ultrasound. RESULTS: Of the 412 men, 134 (32.5%) and 94(22.8%) were diagnosed with PCa and csPCa, respectively. We used the area under the receiver operating characteristic curve (AUC) and decision curve analyses (DCA) to compare the performance of PSA related parameters, PHI and PHID in diagnosing csPCa. AUC for tPSA, %fPSA, %p2PSA, PSAD, PHI and PHID were 0.56、0.63、0.76、0.74、0.77 and 0.82 respectively for csPCa detection. In the univariate analysis, the prostate volume, tPSA, %fPSA, %p2PSA, PHI, PSAD, and PHID were all significantly associated with csPCa, and PHID was the most important predictor (OR 1.41, 95% CI 1.15-1.72). Besides, The AUC of PHID was significantly larger than PHI in csPCa diagnosis (p=0.004). At 90% sensitivity, PHID had the highest specificity (54.1%) for csPCa and could reduce the most unnecessary biopsies (43.7%) and miss the fewest csPCa (8.5%) when PHID ≥ 0.67. In addition to AUC, DCA re-confirmed the clinical benefit of PHID over all PSA-related parameters and PHI in csPCa diagnosis. The PHID cut-off value was positively correlated with the csPCa ratio in the PHID risk table, which is useful for evaluating csPCa risk in a clinical setting. CONCLUSION: The PHID is an excellent predictor of csPCa. The PHID risk table may be used in standard clinical practice to pre-select men at the highest risk of harboring csPCa.

Preoperative %p2PSA and Prostate Health Index Predict Pathological Outcomes in Patients with Prostate Cancer Undergoing Radical Prostatectomy.

To evaluate the predictive accuracy of the %p2PSA and prostate health index (PHI) in predicting aggressive pathological outcomes in patients with prostate cancer (PCa) undergoing radical prostatectomy (RP), we enrolled 91 patients with organ-confined PCa who were treated with robot-assisted RP. p2PSA levels and the PHI were investigated for their ability to predict pathological results. The %p2PSA and PHI were both significantly higher in patients with ≥pT3 disease, high-risk disease, positive surgical margin, or seminal vesical invasion (SVI). In univariable analysis, p2PSA derivatives were significant predictors of the presence of ≥pT3 disease, high-risk disease, positive surgical margin, and SVI. To predict adverse pathological outcomes at a sensitivity of 90%, p2PSA derivatives had higher specificity than standard PSA derivatives. In multivariable analysis, additional increases in the area under the receiver operating characteristic curve (AUC) were observed with the %p2PSA and PHI for ≥pT3 disease, high-risk disease, and positive surgical margin (8.2% and 2.7%, 6.2% and 4.1%, and 8.6% and 5.4%, respectively). A PHI ≥61.26 enhanced the predictive accuracy of the model for SVI by increasing the AUC from 0.624 to 0.819 (p = 0.009). The preoperative %p2PSA and PHI accurately predict adverse pathological results and are useful for decision-making.

The application of p2PSA% and prostate health index in prostate cancer detection: A prospective cohort in a Tertiary Medical Center.

BACKGROUND/PURPOSE: Prostate specific antigen (PSA) with low specificity that causes unnecessary prostate biopsies increases clinical morbidities, psychological stress, and medical expenses. We aimed to test the accuracy and cutoff value of Prostate Health Index (PHI) in men for prostate cancer detection. METHODS: We prospectively enrolled 213 men who underwent prostate biopsy with PSA≦10 ng/ml or abnormal findings on digital rectal examination. Total PSA (tPSA), free PSA (fPSA) and p2PSA levels were measured by serum samples before prostate biopsy. PHI was calculated as (p2PSA/fPSA) × âˆštPSA. Multivariable logistic regression analyses were used to predict the risk of cancer and detect clinically significant prostate cancer. RESULTS: 33 (27.0%) patients were confirmed with the diagnoses of prostate cancer by prostate biopsy. The levels of p2PSA, %p2PSA, and PHI showed statistically significant differences between prostate cancer patients and non-cancer patients. %p2PSA and PHI had the highest area under the receiver operating characteristic curve (AUC) of 0.723 and 0.772 (both p < 0.001), respectively, predicting cancer detection at biopsy than other predictors (tPSA, fPSA, %fPSA, and PSA density (AUC: 0.544, 0.538, 0.593, and 0.664, respectively). In multivariable logistic regression, %p2PSA had a statistical significant odds ratio 8.51 (p = 0.003) and PHI had an odds ratio with marginal significance 4.18 (p = 0.06). CONCLUSION: %p2PSA and PHI increased the diagnostic accuracy with significantly greater sensitivity and specificity than tPSA. We determined an optimal cut-off value of PHI among Taiwanese population. These findings support the usefulness in the decisional process of prostate biopsy.