Collision nodal metastasis of bladder cancer and melanoma: The first reported case and literature review.

Collision metastasis is a rare phenomenon of concomitant localization of 2 or more different tumors in the same lymph node. In most cases, primary malignancies are synchronous carcinomas arising in the same organ or area of the body. A 82-year-old man presented with hematuria and acute renal failure; he had undergone dermatological consultation ten months ago because of a large deep brown skin lesion in his dorso-lumbar region, which was not excised upon patient's request. He underwent radical cystectomy with extended pelvic lymphadenectomy due to nonpapillary high-grade urothelial carcinoma, with focal squamous features, infiltrating the bladder wall and prostate gland. In one left iliac lymph node, small foci of metastatic urothelial carcinoma (positive for P63 and CK34betaE12) were close to melanoma cells (positive for HMB45). The patient refused further treatment and died of metastatic disease 12 months after cystectomy. There is no specific clinical feature for nodal collision metastasis. A polymorphic histologic appearance poses the suspect, but immunohistochemical stains are needed to define the primary tumors. Collision metastases are thought to carry a poor prognosis. Their clinical relevance is linked to the fact that the patient faces 2 different metastatic tumors that may require specific multidisciplinary approach once diagnosed as metastatic. We present, to the best of our knowledge, the first case of collision nodal metastasis from bladder cancer and melanoma, and describe its clinical and histopathological characteristics to raise awareness on this rare occurrence, which portends a poorer prognosis than each single tumor.

Development and Internal Validation of Novel Nomograms Based on Benign Prostatic Obstruction-Related Parameters to Predict the Risk of Prostate Cancer at First Prostate Biopsy.

The present study aimed to determine the ability of novel nomograms based onto readily-available clinical parameters, like those related to benign prostatic obstruction (BPO), in predicting the outcome of first prostate biopsy (PBx). To do so, we analyzed our Internal Review Board-approved prospectively-maintained PBx database. Patients with PSA>20 ng/ml were excluded because of their high risk of harboring prostate cancer (PCa). A total of 2577 were found to be eligible for study analyses. The ability of age, PSA, digital rectal examination (DRE), prostate volume (PVol), post-void residual urinary volume (PVR), and peak flow rate (PFR) in predicting PCa and clinically-significant PCa (CSPCa)was tested by univariable and multivariable logistic regression analysis. The predictive accuracy of the multivariate models was assessed using receiver operator characteristic curves analysis, calibration plot, and decision-curve analyses (DCA). Nomograms predicting PCa and CSPCa were built using the coefficients of the logit function. Multivariable logistic regression analysis showed that all variables but PFR significantly predicted PCA and CSPCa. The addition of the BPO-related variables PVol and PVR to a model based on age, PSA and DRE findings increased the model predictive accuracy from 0.664 to 0.768 for PCa and from 0.7365 to 0.8002 for CSPCa. Calibration plot demonstrated excellent models' concordance. DCA demonstrated that the model predicting PCa is of value between ~15 and ~80% threshold probabilities, whereas the one predicting CSPCa is of value between ~10 and ~60% threshold probabilities. In conclusion, our novel nomograms including PVR and PVol significantly increased the accuracy of the model based on age, PSA and DRE in predicting PCa and CSPCa at first PBx. Being based onto parameters commonly assessed in the initial evaluation of men "prostate health," these novel nomograms could represent a valuable and easy-to-use tool for physicians to help patients to understand their risk of harboring PCa and CSPCa.

Typing the atypical: Diagnostic issues and predictive markers in suspicious prostate lesions.

As much as 5% of prostate biopsies yield findings equivocal for malignancy even for skilled uropathologist; such "grey zone" lesions have been addressed in many ways, although the acronym ASAP (atypical small acinar proliferation) is the most widely used when referring to an atypical focus suspicious, but not diagnostic, for malignancy. Since the introduction of this diagnostic category more than 20 years ago, debate has ensued over its histological characterization and clinical significance. Pathology reporting of ASAP, commonly based on strict morphological criteria and traditional immunohistochemical markers such as basal cell antibodies, has been improved by recent availability of novel immunohistochemical markers such as AMACR and ERG. Further pathological issues, such as the role of pre-analytical variables, number of tissue levels, interobserver variability, and association with prostatic intraepithelial neoplasia also play a role in the optimal assessment of ASAP. Apart from diagnostic issues, a major issue is ASAP predictive value for prostate cancer on repeat biopsy. Therefore, attempts have been made to identify clinical and biological parameters that could predict subsequent diagnosis of malignancy as well as define time and modality of repeat biopsy. Finally, pathological features of cancers detected after a previous ASAP diagnosis are compared with those diagnosed at first prostate biopsy.

Absence of Bladder Outlet Obstruction Is an Independent Risk Factor for Prostate Cancer in Men Undergoing Prostate Biopsy.

The purpose of this study was to investigate the relationship between bladder outlet obstruction (BOO) and the risk of being diagnosed with prostate cancer (PCa).Study population consisted of 2673 patients scheduled for the first prostate biopsy (PBx). All patients underwent uroflowmetry before PBx; those with a peak flow rate (PFR) <10 mL/s were considered to have BOO.The incidence of PCa was 41.3% (1104/2673) in the overall population and 34.1% (659/1905) in patients with serum prostate-specific antigen (PSA) ≤ 10 ng/mL. Univariate and multivariate logistic regression analyses showed that patients with BOO had a significantly (P < 0.0001) lower risk than those without BOO of being diagnosed with PCa (33.1% vs 66.9% in the overall population; 30% vs 70% in patients with PSA ≤ 10 ng/mL). As the presence of BOO was significantly correlated to a large prostate volume, another independent predictor of PBx outcome, we tested whether these parameters could be used to identify, in the subset of patients with PSA≤10 ng/mL, those who could potentially be spared from a PBx. If we would have not biopsied patients with BOO and prostate volume ≥60 mL, 14.5% of biopsies could have been avoided while missing only 6% of tumors. Only 10% of the tumors that would have been missed were high-risk cancers.In conclusion, in men undergoing PBx, the absence of BOO, as determined by a PFR ≥10 mL/s, is an independent risk factor for PCa. Our study provides ground for this simple, noninvasive, objective parameter being used, alone or in combination with prostate volume, in the decision-making process of men potentially facing a PBx.

Post-void residual urinary volume is an independent predictor of biopsy results in men at risk for prostate cancer.

AIM: to determine whether peak flow rate (PFR) and post-void residual urinary volume (PVRUV) predict prostate biopsy outcome. PATIENTS AND METHODS: The study population consisted of 1780 patients undergoing first prostate biopsy. RESULTS: Patients with prostate cancer (PCa) had significantly greater prostate-specific antigen (PSA) and PFR but lower prostate volume (PVol) and PVRUV than those without PCa. Receiver operator characteristic curve analysis showed that PVol and PVRUV were the most accurate predictors of biopsy outcome. The addition of PVRUV to the multivariate logistic regression model based on standard clinical parameters (age, PSA, digital rectal examination, PVol) significantly increased the predictive accuracy of the model in both the population overall (79% vs. 77%; p=0.001) and patients with PSA levels up to 10 ng/ml (74.3% vs. 71.7%; p=0.005). CONCLUSION: PVRUV seems to be an accurate non-invasive test to predict biopsy outcome that can be used alone or in combination with PVol in the decision-making process for men potentially facing a prostate biopsy.

[Air pollution in an urban area nearby the Rome-Ciampino city airport]. / Inquinamento atmosferico in un'area urbana limitrofa all'aeroporto di Roma-Ciampino.

OBJECTIVES: to assess air pollution spatial and temporal variability in the urban area nearby the Ciampino International Airport (Rome) and to investigate the airport-related emissions contribute. DESIGN AND SETTING: the study domain was a 64 km2 area around the airport. Two fifteen-day monitoring campaigns (late spring, winter) were carried out. Results were evaluated using several runs outputs of an airport-related sources Lagrangian particle model and a photochemical model (the Flexible Air quality Regional Model, FARM). MAIN OUTCOME MEASURES: both standard and high time resolution air pollutant concentrations measurements: CO, NO, NO2, C6H6, mass and number concentration of several PM fractions. 46 fixed points (spread over the study area) of NO2 and volatile organic compounds concentrations (fifteen days averages); deterministic models outputs. RESULTS: standard time resolution measurements, as well as model outputs, showed the airport contribution to air pollution levels being little compared to the main source in the area (i.e. vehicular traffic). However, using high time resolution measurements, peaks of particles associated with aircraft takeoff (total number concentration and soot mass concentration), and landing (coarse mass concentration) were observed, when the site measurement was downwind to the runway. CONCLUSIONS: the frequently observed transient spikes associated with aircraft movements could lead to a not negligible contribute to ultrafine, soot and coarse particles exposure of people living around the airport. Such contribute and its spatial and temporal variability should be investigated when assessing the airports air quality impact.