Computer-Generated R.E.N.A.L. Nephrometry Scores Yield Comparable Predictive Results to Those of Human-Expert Scores in Predicting Oncologic and Perioperative Outcomes.

PURPOSE: We sought to automate R.E.N.A.L. (for radius, exophytic/endophytic, nearness of tumor to collecting system, anterior/posterior, location relative to polar line) nephrometry scoring of preoperative computerized tomography scans and create an artificial intelligence-generated score (AI-score). Subsequently, we aimed to evaluate its ability to predict meaningful oncologic and perioperative outcomes as compared to expert human-generated nephrometry scores (H-scores). MATERIALS AND METHODS: A total of 300 patients with preoperative computerized tomography were identified from a cohort of 544 consecutive patients undergoing surgical extirpation for suspected renal cancer at a single institution. A deep neural network approach was used to automatically segment kidneys and tumors, and geometric algorithms were developed to estimate components of R.E.N.A.L. nephrometry score. Tumors were independently scored by medical personnel blinded to AI-scores. AI- and H-score agreement was assessed using Lin's concordance correlation and their predictive abilities for both oncologic and perioperative outcomes were assessed using areas under the curve. RESULTS: Median age was 60 years (IQE 51-68), and 40% were female. Median tumor size was 4.2 cm and 91.3% had malignant tumors, including 27%, 37% and 24% with high stage, grade and necrosis, respectively. There was significant agreement between H-scores and AI-scores (Lin's ⍴=0.59). Both AI- and H-scores similarly predicted meaningful oncologic outcomes (p <0.001) including presence of malignancy, necrosis, and high-grade and -stage disease (p <0.003). They also predicted surgical approach (p <0.004) and specific perioperative outcomes (p <0.05). CONCLUSIONS: Fully automated AI-generated R.E.N.A.L. scores are comparable to human-generated R.E.N.A.L. scores and predict a wide variety of meaningful patient-centered outcomes. This unambiguous artificial intelligence-based scoring is intended to facilitate wider adoption of the R.E.N.A.L. score.

Piperlongumine promotes autophagy via inhibition of Akt/mTOR signalling and mediates cancer cell death.

BACKGROUND: The Akt/mammalian target of rapamycin (mTOR) signalling pathway serves as a critical regulator of cellular growth, proliferation and survival. Akt aberrant activation has been implicated in carcinogenesis and anticancer therapy resistance. Piperlongumine (PL), a natural alkaloid present in the fruit of the Long pepper, is known to exhibit notable anticancer effects. Here we investigate the impact of PL on Akt/mTOR signalling. METHODS: We examined Akt/mTOR signalling in cancer cells of various origins including prostate, kidney and breast after PL treatment. Furthermore, cell viability after concomitant treatment with PL and the autophagy inhibitor, Chloroquine (CQ) was assessed. We then examined the efficacy of in vivo combination treatment using a mouse xenograft tumour model. RESULTS: We demonstrate for the first time that PL effectively inhibits phosphorylation of Akt target proteins in all tested cells. Furthermore, the downregulation of Akt downstream signalling resulted in decrease of mTORC1 activity and autophagy stimulation. Using the autophagy inhibitor, CQ, the level of PL-induced cellular death was significantly increased. Moreover, concomitant treatment with PL and CQ demonstrated notable antitumour effect in a xenograft mouse model. CONCLUSIONS: Our data provide novel therapeutic opportunities to mediate cancer cellular death using PL. As such, PL may afford a novel paradigm for both prevention and treatment of malignancy.

Synchronous metastatic renal cell carcinoma to the genitourinary tract: two rare case reports and a review of the literature.

Synchronous metastasis of renal cell carcinoma (RCC) to the ureter or the bladder represents an extremely rare event. We report one case of synchronous metastasis of RCC to the ipsilateral ureter and one case of solitary synchronous metastasis of RCC to the urinary bladder. We review the literature and discuss possible mechanisms of dissemination. We discuss the surgical management of metastases from RCC as well as the surgical options in the treatment of these rare occurrences.

Perioperative outcomes and hospital reimbursement by type of radical prostatectomy: results from a privately insured patient population.

BACKGROUND: With the increasing use of robotic surgery in the United States, the comparative effectiveness and differences in reimbursement of minimally invasive radical prostatectomy (MIRP) and open prostatectomy (ORP) in privately insured patients are unknown. Therefore, we sought to assess the differences in perioperative outcomes and hospital reimbursement in a privately insured patient population who were surgically treated for prostate cancer. METHODS: Using a large private insurance database, we identified 17,610 prostate cancer patients who underwent either MIRP or ORP from 2003 to 2010. The primary outcomes were length of stay (LOS), perioperative complications, 90-day readmissions rates and hospital reimbursement. Multivariable regression analyses were used to evaluate for differences in primary outcomes across surgical approaches. RESULTS: Overall, 8981 (51.0%) and 8629 (49.0%) surgically treated prostate cancer patients underwent MIRP and ORP, respectively. The proportion of patients undergoing MIRP markedly rose from 11.9% in 2003 to 72.5% in 2010 (P<0.001 for trend). Relative to ORP, MIRP was associated with a shorter median LOS (1.0 day vs 3.0 days; P<0.001) and lower adjusted odds ratio of perioperative complications (OR: 0.82; P<0.001). However, the 90-day readmission rates of MIRP and ORP were similar (OR: 0.99; P=0.76). MIRP provided higher adjusted mean hospital reimbursement compared with ORP (US $19,292 vs. US $17,347; P<0.001). CONCLUSIONS: Among privately insured patients diagnosed with prostate cancer, robotic surgery rapidly disseminated with over 70% of patients undergoing MIRP by 2009-2010. Although MIRP was associated with shorter LOS and modestly better perioperative outcomes, hospitals received higher reimbursement for MIRP compared with ORP.

Specialty bias in treatment recommendations and quality of life among radiation oncologists and urologists for localized prostate cancer.

BACKGROUND: Given the importance of physician attitudes about different treatments and the quality of life (QOL) in prostate cancer, we performed a national survey of specialists to assess treatment recommendations and perceptions of treatment-related survival and QOL. METHODS: We mailed a self-administered survey instrument to a random sample of 1366 specialists in the U.S. Respondents were asked for treatment recommendations and survival that varied by PSA levels and Gleason scores and estimate QOL outcomes. Pearson's chi-square and multivariable regression models were used to test for differences in each outcome. RESULTS: Response rates were similar for radiation oncologists (52.6%) and urologists (52.3%; P=0.92). Across all risk strata, urologists were more likely to recommend surgery than were radiation oncologists, for conditions ranging from PSA>20 and Gleason score 8-10 (35.2 vs. 0.2%; P<0.001) to PSA 4-10 and Gleason score 7 (87.5 vs. 20.9%; P<0.001). Radiation oncologists were also more likely to recommend radiation therapy relative to urologists (all P<0.001). From low- to high-risk prostate cancer, radiation oncologists and urologists perceived their treatment as being better for improving survival (all P<0.001). Each specialty also viewed their treatment as having less urinary incontinence (all P<0.001). CONCLUSIONS: Radiation oncologists and urologists both prefer the treatment modalities they offer, perceive them to be more effective and to lead to a better QOL. Patients may be receiving biased information, and a truly informed consent process with shared decision-making may be possible only if they are evaluated by both specialties before deciding upon a treatment course.

Evaluating prostate cancer mortality and competing risks of death in patients with localized prostate cancer using a comprehensive nomogram.

BACKGROUND: The aim of this study was to determine the optimal treatment for a patient with newly diagnosed prostate cancer weighing the individual's risk of disease progression against his risk of non-cancer death. METHODS: We developed a predictive model incorporating clinicopathological tumor variables, patient age, comorbidity status, and primary treatment modality. We identified 6091 patients with clinically-localized prostate cancer managed with radical prostatectomy (n=4117) or radiation therapy (n=1974) from the Cancer of the Prostate Strategic Urologic Research Endeavor database. Fine and Gray competing-risks proportional hazards regression models were used to calculate the risks of prostate cancer-specific mortality (PCSM) and non-prostate cancer death and to generate a nomogram. RESULTS: The median follow-up after treatment was 53 months (interquartile range 30, 80 months). In total, 983 men died during follow-up, including 167 who died of prostate cancer and 816 who died of non-prostate cancer causes. On multivariate analysis, higher Cancer of the Prostate Risk Assessment score and primary treatment with radiation were associated with an increased risk of PCSM, whereas older age, African-American race, and treatment with radiation predicted non-prostate cancer death. The number of comorbidities and receipt of androgen deprivation therapy correlated with an increased risk of non-prostate cancer death, but not PCSM. The resulting nomogram allows quantification and comparison of the 10-year risk of PCSM and non-prostate cancer death. CONCLUSIONS: Integrating clinicopathological variables with comorbid conditions in a competing-risks model affords quantification and comparison of relative probabilities of PCSM and non-prostate cancer death following treatment. Our model thereby facilitates an individualized approach for counseling patients regarding prostate cancer management.