Higher De Ritis ratio could be predictive for worse pathological outcomes and higher BCR in localized prostate cancer patients. A predictive model which incorporates De Ritis ratio, Gleason Score and pathological tumor stage could help risk stratification for BCRFS.

No abstract

Development of distant metastasis is the main cause of deaths in prostate cancer (PCa) patients. Understanding the mechanism of PCa metastasis is of utmost importance to improve its prognosis. The role of exosomal long noncoding RNA (lncRNA) has been reported not yet fully understood in the metastasis of PCa. Here, we discovered an exosomal lncRNA HOXD-AS1 is upregulated in castration resistant prostate cancer (CRPC) cell line derived exosomes and serum exosomes from metastatic PCa patients, which correlated with its tissue expression. Further investigation confirmed exosomal HOXD-AS1 promotes prostate cancer cell metastasis in vitro and in vivo by inducing metastasis associated phenotype. Mechanistically exosomal HOXD-AS1 was internalized directly by PCa cells, acting as competing endogenous RNA (ceRNA) to modulate the miR-361-5p/FOXM1 axis, therefore promoting PCa metastasis. In addition, we found that serum exosomal HOXD-AS1 was upregulated in metastatic PCa patients, especially those with high volume disease. And it is correlated closely with Gleason Score, distant and nodal metastasis, Prostatic specific antigen (PSA) recurrence free survival, and progression free survival (PFS). This sheds a new insight into the regulation of PCa distant metastasis by exosomal HOXD-AS1 mediated miR-361-5p/FOXM1 axis, and provided a promising liquid biopsy biomarker to guide the detection and treatment of metastatic PCa.

BackgroundSecond-line treatment for urothelial carcinoma (UC) patients is used if progression or failure after platinum-based chemotherapy occurs or if patients are cisplatin-unfit. However, there is still no widely accepted treatment strategy. We aimed to analyze the effectiveness and safety of second-line treatment strategies for UC patients.MethodsThe PubMed, Embase, and Cochrane databases were searched for randomized controlled trials (RCTs) that included UC patients who were cisplatin-ineligible or unfit up to April 19, 2019. The primary outcomes were progression-free survival (PFS), overall survival (OS), and objective response rate (ORR).ResultsThirteen trials that assessed 3502 UC patients were included. This study divided the network comparisons into three parts. The first part contained studies comparing taxanes and other interventions; the second part assessed investigator’s choice chemotherapy (ICC)-related comparisons; and the third part assessed best support care (BSC). In the OS results of the first part, pembrolizumab (87.5%), ramucirumab plus docetaxel (74.6%), and atezolizumab (71.1%) had a relative advantage. Pembrolizumab also had advantages in ORR and severe adverse effect (SAE) results. Vinflunine and ramucirumab plus docetaxel had a relatively high surface under the cumulative ranking curve (SUCRA) rank by exploratory cluster analysis.ConclusionsThis study concluded that atezolizumab and pembrolizumab are superior to other treatments, mainly in OS results, but no treatment confers a significant advantage in PFS. Pembrolizumab still has relative advantages in ORR and SAE results compared to ICC. Due to limitations, more studies are necessary to confirm the conclusions.

To discuss the mechanisms of infection complications in different degrees after percutaneous nephrolithotomy (pcnL) through predicting and comparing post-pcnL infections based on nomograms, a retrospective cohort study was conducted among 969 cases who underwent PCNL from Dec 5, 2016 to Dec 25, 2017 in Kunming, Yunnan Province. We examined clinical features, urine routine, blood routine, blood biochemistry, imaging studies and operative information and recorded the examination results before surgery for univariate and multivariate logistic regression. We applied receiver operating characteristic curves, calibration curves, accuracy, specificity, sensitivity, positive predictive value and negative predictive value to evaluate and compare the models. Nomograms were used to visualize the different degrees of postoperative infection complications. The risk scores of the three groups were compared by diabetes mellitus distribution. Our results suggest that the more severe the infection is, the more accurate the model predicts and that the occurrence of severe infection mostly is related to the patients' homeostasis. Hence, we developed an online post-PCNL sepsis dynamic nomogram which can achieve visualization and dynamically predict the incidence of sepsis in postoperative patients. Kidney stones, one of the most common urologic diseases, show an upward trend annually 1 , especially in Southwest China where the incidence rate is higher than those in other parts of the country 2. PCNL is used as the standard method in the treatment of upper urinary tract stone > 2 cm 3 with minimal invasion and a faster and higher stone clearance rate 4. However, complications are reported including fever (21.0-32.1%), blood transfusion (11.2-17.5%), extravasation (7.2%) and septicemia (0.3-4.7%) 5. Infection, as a major complication, is graded into fever, systemic inflammatory response syndrome (SIRS), and sepsis according to the severity. Previous studies have reported the risk factors on the severity of infectious complications, such as gender, nephrostomy 6 , preoperative positive urine culture 7 , stone size 8 , age, diabetes mellitus and complex stones 9. Risk factors of SIRS include PCNL operation history, stone size, degree of hydronephrosis, complex stones, preoperative positive urine culture, perfusion pressure, and neurogenic bladder and the use of antibiotics 10-13. Risk factors of sepsis include stone burden, infectious stone, the number of tracts, preoperative positive urine culture, leukopenia, creatinine and operation time 14-17. Nonetheless, most studies only discussed one or two infection outcomes and did not compare similarities and differences of infection concurrency between different degrees in the same samples. In this study, we established models to predict and to study the infection complications of different degrees after PCNL, and compared the differences between the models to illustrate the different infection mechanisms and the clinical significance. Finally, we developed online application to achieve visu...