Burak Arslan1, Okan Gürkan2, Bugra Çetin3, Öykü Aksoy Arslan4, Taha Göv3, Gökhan Yazıcı3, Tolga Eroglu3, Mustafa Asım Avcı3, Enver Ozdemir3. 1. Department of Urology, Istanbul Taksim Gaziosmanpasa Training and Research Hospital, Karayolları Str. No:621, Gaziosmanpaşa, Istanbul, Turkey. drbarslan@yahoo.com. 2. Department of Radiology, Istanbul Taksim Gaziosmanpasa Training and Research Hospital, Istanbul, Turkey. 3. Department of Urology, Istanbul Taksim Gaziosmanpasa Training and Research Hospital, Karayolları Str. No:621, Gaziosmanpaşa, Istanbul, Turkey. 4. Department of Haematology, Istanbul Kanuni Sultan Süleyman Training and Research Hospital, Istanbul, Turkey.
Abstract
PURPOSE: The aim of our study was to investigate the impact of the ABO blood groups and blood-based biomarkers on the growth kinetics of renal angiomyolipoma (AML). METHODS: A total of 124 patients with AML who were followed-up between 2010 and 2018 were retrospectively reviewed. The patients' characteristics were recorded, including age, body mass index (BMI), blood pressure, smoking history, and ABO blood group. Baseline laboratory test results, including serum creatinine, AST, ALT, platelet, neutrophil and lymphocyte count, were used to calculate the estimated glomerular filtration rate (eGFR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and De Ritis ratio. The Cox regression analysis was used to evaluate the relationship between variables and tumor growth. RESULTS: The study population comprised 71 women and 44 men with a median age of 47.3 (28-65) years. Among patients classified according to the blood groups, no significant differences were observed regarding age, BMI, smoking history, co-morbidities, NLR, PLR, De Ritis ratio, eGFR, or tumor size and localisation. The mean growth rate from baseline to the last scan was 0.36 ± 0.27 cm, 0.21 ± 0.21 cm, 0.14 ± 0.11 cm, and 0.19 ± 0.17 cm for blood type O, A, B, and AB, respectively. In multivariate analysis, eGFR < 60 (p = 0.044), central tumor localisation (p = 0.030), presence of blood group-0 (p = 0.038), and De Ritis ratio ≥ 1.24 (p = 0.047) were statistically associated with tumor growth. CONCLUSION: Our study demonstrates that both the ABO blood groups and the De Ritis ratio might represent independent predictors of tumor growth rate in patients with renal AML.
PURPOSE: The aim of our study was to investigate the impact of the ABO blood groups and blood-based biomarkers on the growth kinetics of renal angiomyolipoma (AML). METHODS: A total of 124 patients with AML who were followed-up between 2010 and 2018 were retrospectively reviewed. The patients' characteristics were recorded, including age, body mass index (BMI), blood pressure, smoking history, and ABO blood group. Baseline laboratory test results, including serum creatinine, AST, ALT, platelet, neutrophil and lymphocyte count, were used to calculate the estimated glomerular filtration rate (eGFR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and De Ritis ratio. The Cox regression analysis was used to evaluate the relationship between variables and tumor growth. RESULTS: The study population comprised 71 women and 44 men with a median age of 47.3 (28-65) years. Among patients classified according to the blood groups, no significant differences were observed regarding age, BMI, smoking history, co-morbidities, NLR, PLR, De Ritis ratio, eGFR, or tumor size and localisation. The mean growth rate from baseline to the last scan was 0.36 ± 0.27 cm, 0.21 ± 0.21 cm, 0.14 ± 0.11 cm, and 0.19 ± 0.17 cm for blood type O, A, B, and AB, respectively. In multivariate analysis, eGFR < 60 (p = 0.044), central tumor localisation (p = 0.030), presence of blood group-0 (p = 0.038), and De Ritis ratio ≥ 1.24 (p = 0.047) were statistically associated with tumor growth. CONCLUSION: Our study demonstrates that both the ABO blood groups and the De Ritis ratio might represent independent predictors of tumor growth rate in patients with renal AML.
Entities:
Keywords:
Angiomyolipoma; Biomarkers; Blood group antigens
Authors: M M Halloran; W W Carley; P J Polverini; C J Haskell; S Phan; B J Anderson; J M Woods; P L Campbell; M V Volin; A E Bäcker; A E Koch Journal: J Immunol Date: 2000-05-01 Impact factor: 5.422
Authors: J Champagnac; C Melodelima; T Martinelli; G Pagnoux; L Badet; L Juillard; O Rouvière Journal: Diagn Interv Imaging Date: 2016-01-15 Impact factor: 4.026
Authors: Borje Ljungberg; Karim Bensalah; Steven Canfield; Saeed Dabestani; Fabian Hofmann; Milan Hora; Markus A Kuczyk; Thomas Lam; Lorenzo Marconi; Axel S Merseburger; Peter Mulders; Thomas Powles; Michael Staehler; Alessandro Volpe; Axel Bex Journal: Eur Urol Date: 2015-01-21 Impact factor: 20.096
Authors: Michele Marchioni; Giulia Primiceri; Manuela Ingrosso; Roberta Filograna; Pietro Castellan; Piergustavo De Francesco; Luigi Schips Journal: Clin Genitourin Cancer Date: 2016-04-22 Impact factor: 2.872
Authors: Astrid Fittschen; Inka Wendlik; Suemeyra Oeztuerk; Wolfgang Kratzer; Atilla S Akinli; Mark M Haenle; Tilmann Graeter Journal: Abdom Imaging Date: 2014-10