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Metabolic Syndrome Prevalence in Renal Cell Cancer Patients
Bulut, Suleyman,Aktas, Binhan Kagan,Erkmen, Akif Ersoy,Ozden, Cuneyt,Gokkaya, Cevdet Serkan,Baykam, Mehmet Murat,Memis, Ali Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.18
Purpose: Renal cell carcinoma (RCC) is increasingly being recognized as a metabolic disease in recent studies. The aim of the present study was to identify the prevalence of metabolic syndrome (MetS) and its association with RCC among urologic patients. Materials and Methods: The study included a total of 355 participants (117 adult RCC patients and 238 age matched controls) divided into groups, with and without MetS diagnosed using the criteria of the American Heart Association/The National Heart Lung and Blood Institute. Groups were compared statistically and logistic regression analysis was performed to investigate the impact of MetS criteria on RCC risk. Results: Of the 117 RCC patients, 52 (44.4%) and of the 238 controls, 37 (15.5%) had MetS. A significant association (p<0.001) was found between the presence of MetS and RCC (OR: 4.35; 95% CI=2.62-7.21). As the number of MetS components accumulated from 3 to 5, RCC risk increased likewise from 4 to 6 times. Conclusions: MetS is more prevalent in RCC patients in Turkey compared to controls. Risk increases with the number of coexisting MetS components.
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Aktas, Binhan Kagan,Ozden, Cuneyt,Bulut, Suleyman,Tagci, Suleyman,Erbay, Guven,Gokkaya, Cevdet Serkan,Baykam, Mehmet Murat,Memis, Ali Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.6
Background: The cancer of the prostate risk assessment (CAPRA) score has been defined to predict prostate cancer recurrence based on the pre-clinical data, then pathological data have also been incorporated. Thus, CAPRA post-surgical (CAPRA-S) score has been developed based on six criteria (prostate specific antigen (PSA) at diagnosis, pathological Gleason score, and information on surgical margin, seminal vesicle invasion, extracapsular extension and lymph node involvement) for the prediction of post-surgical recurrences. In the present study, biochemical recurrence (BCR)-free probabilities after open retropubic radical prostatectomy (RP) were evaluated by the CAPRA-S scoring system and its three-risk level model. Materials and Methods: CAPRA-S scores (0-12) of our 240 radical prostatectomies performed between January 2000-May 2011 were calculated. Patients were distributed into CAPRA-S score groups and also into three-risk groups as low, intermediate and high. BCR-free probabilities were assessed and compared using Kaplan-Meier analysis and Cox proportional hazards regression. Ability of CAPRA-S in BCR detection was evaluated by concordance index (c-index). Results: BCR was present in 41 of total 240 patients (17.1%) and the mean follow-up time was $51.7{\pm}33.0$ months. Mean BCR-free survival time was 98.3 months (95% CI: 92.3-104.2). Of the patients in low, intermediate and high risk groups, 5.4%, 22.0% and 58.8% had BCR, respectively and the difference among the three groups was significant (P = 0.0001). C-indices of CAPRA-S score and three-risk groups for detecting BCR-free probabilities in 5-yr were 0.87 and 0.81, respectively. Conclusions: Both CAPRA-S score and its three-risk level model well predicted BCR after RP with high c-index levels in our center. Therefore, it is a clinically reliable post-operative risk stratifier and disease recurrence predictor for prostate cancer.
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