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Aim. We aimed to establish a prognostic nomogram for penile cancer (PC) patients based on the Surveillance, Epidemiology, and End Results Program (SEER) database. Methods. Data from 1643 patients between 2010 and 2015 were downloaded and extracted from the SEER database. They were randomly divided into the development group (70%) and the verification group (30%), and then, univariate and multivariate Cox proportional hazards regression, respectively, was used to explore the possible risk factors of PC. The factors significantly related to overall survival (OS) and cancer-specific survival (CSS) were used to establish the nomogram, which was assessed via the concordance index (C-index), receiver operating characteristic (ROC) curve, and calibration curve. An internal validation was conducted to test the accuracy and effectiveness of the nomogram. Kaplan–Meier calculation was used to predict the further OS and CSS status of these patients. Results. On multivariate Cox proportional hazards regression, the independent prognostic risk factors associated with OS were age, race, marital status, N/M stage, surgery, surgery of lymph nodes, and histologic type, with a moderate C-index of 0.737 (95% confidence interval (CI): 0.713–0.760) and 0.766 (95% CI: 0.731–0.801) in the development and verification groups, respectively. The areas under the ROC (AUC) of 3- and 5-year OS were 0.749 and 0.770, respectively. While marital status, N/M stage, surgery, surgery of lymph nodes, and histologic type were significantly linked to PC patients’ CSS, which have better C-index of 0.802 (95% confidence interval (CI): 0.771–0.833) and 0.82 (95% CI: 0.775–0.865) in the development and verification groups, and the AUC of 3- and 5-year CSS were 0.766 and 0.787. Both of the survival calibration curves of 3- and 5-year OS and CSS brought out a high consistency. Conclusion. Our study produced a satisfactory nomogram revealing the survival of PC patients, which could be helpful for clinicians to assess the situation of PC patients and to implement further treatment.

Background: Obesity has been found to be closely related to the increased risk of fatal prostate cancer (PCa), however there remains no evidence that further clarifies the relationship between obesity and the postoperative recurrence and poor prognosis of PCa. In this study, a systematic review and meta-analysis were performed to systematically evaluate the effect of obesity on the prognosis and recurrence of PCa after radical prostatectomy (RP).Methods: A literature search of the PubMed, Web of Science, and Embase databases was performed covering articles published between January 2013 and January 2020. Articles regarding the correlation between body mass index (BMI) and the prognosis and recurrence of PCa following RP were included in the meta-analysis. Two investigators independently screened the literature and extracted relevant data including publication information, key results, number of cancer cases, and multivariable-adjusted odds ratios (ORs) with 95% confidence intervals (CIs). Meta-analysis was performed using RevMan 5.3 and Stata 16.0 software, and forest plots, funnel plots, and sensitivity analysis were also conducted.Results: A total of 14 articles were included, all of which were analyzed for clinicopathological characteristics. Eight articles reported the biochemical recurrence (BCR) with prostate-specific antigen (PSA) as the predictor, and six articles reported the positive surgical margins (PSM). The meta-analysis showed that obese PCa patients had more postoperative recurrence and poor prognosis compared with the normal weight PCa patients, and the difference was statistically significant (OR =1.25, 95% CI: 1.10, 1.43). BCR exhibited no significant difference between obese and non-obese PCa patients after surgery (OR =1.2, 95% CI: 0.96, 1.46), and there were also no notable differences in PSM between the groups (OR =1.16, 95% CI: 0.99, 1.36).Subgroup analysis showed that obese PCa patients in the Americas (95% CI: 1.11, 1.37) and Europe (95% CI: 1.11, 1.78) were more likely to have surgical recurrence and poor prognosis (OR =1.40). Obese patients in the Americas were also more likely to have BCR after surgery (95% CI: 1.07, 1.36).Conclusions: Obesity easily leads to poor prognosis and recurrence of PCa after RP.

BackgroundWe aimed to establish a prognostic nomogram for Penile Cancer (PC) patients based on the Surveillance, Epidemiology, and End Results Program (SEER) database.MethodsData of 1694 patients between 2010 and 2015 were downloaded and extracted from the SEER database. Then, they were randomly divided into the development group (70%) and the verification group (30%). Following, the univariate and multivariate Cox proportional hazards regression was respectively used to explore the possible risk factors of PC. Factors which significantly related to the overall survival (OS) were used to establish the nomogram. Further, the concordance index (C-index), receiver operating characteristic curve (ROC) and calibration curve were used to assess the nomogram, respectively. An internal validation was carried out to test the accuracy and effectiveness of nomogram. Finally, the Kaplan-Meier calculation was used to predict the further survival status of these patients.ResultsMultivariate Cox proportional hazards regression demonstrated that the independent prognostic risk factors associated with PC were age, stage T, N and M, and grade, with a moderate c-index of 0.732 [95% confidence interval (CI), 0.706-0.757] in development group and 0.743 (95% CI, 0.703-0.782) in verification group. Meanwhile, the areas under the ROC (AUC) of 3-year and 5-year survival were 0.739 and 0.727, respectively. The survival calibration curves of 3-year and 5-year brought out a high consistency. ConclusionOur study obtained a satisfactory nomogram to reveal the survival of PC patients, which could be helpful for clinicians to assess the situation of PC patients and to implement the further treatment.