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Yu N, Xu C, Jiang Y, Liu D, Lin L, Zheng G, Du J, Yang K, Zhong Q, Chen Y, Zheng Y. Characteristics of Abdominal Fat Based on CT Measurements to Predict Early Recurrence After Initial Surgery of NMIBC in Stage Ta/T1. Clin Genitourin Cancer 2024; 22:102199. [PMID: 39265258 DOI: 10.1016/j.clgc.2024.102199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Revised: 07/29/2024] [Accepted: 08/07/2024] [Indexed: 09/14/2024]
Abstract
INTRODUCTION This study aimed to assess the predictive value of abdominal fat characteristics measured by computed tomography (CT) in identifying early recurrence within one year post-initial transurethral resection of bladder tumor (TURBT) in patients with nonmuscle-invasive bladder cancer (NMIBC). A predictive model integrating fat features and clinical factors was developed to guide individualized treatment. MATERIALS AND METHODS A retrospective analysis of 203 NMIBC patients from two medical centers was conducted. Abdominal CT images were analyzed using 3D Slicer software. Spearman correlation, logistic regression, and the Lasso algorithm were employed for data analysis. Predictive efficacy was assessed using the area under the curve (AUC) of receiver operating characteristic (ROC) and decision curve analysis (DCA). Calibration was evaluated using the Hosmer-Lemeshow test. RESULTS Significant differences in abdominal fat characteristics were found between the recurrence and nonrecurrence groups. All fat features positively correlated with body mass index (BMI), with bilateral perirenal fat thickness (PrFT) showing superior predictive performance. Multivariate logistic regression identified independent predictors of early recurrence, including tumor number, early perfusion chemotherapy, left and right PrFT, and visceral fat area (VFA) at umbilical and renal hilum levels. The Lasso-based model achieved an AUC of 0.904, outperforming existing models. CONCLUSION Abdominal fat characteristics, especially bilateral PrFT, strongly correlate with early recurrence in NMIBC. The Lasso-based model, integrating fat and clinical factors, offers superior predictive efficacy and could improve individualized treatment strategies.
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Affiliation(s)
- Nengfeng Yu
- Department of Urology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China
| | - Congcong Xu
- Department of Urology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yiwei Jiang
- Department of Urology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China
| | - Dekai Liu
- Department of Urology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China
| | - Lianghao Lin
- Department of Urology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China
| | - Gangfu Zheng
- Department of Urology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China
| | - Jiaqi Du
- Department of Urology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China
| | - Kefan Yang
- Department of Urology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China
| | - Qifeng Zhong
- Department of Urology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China
| | - Yicheng Chen
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Yichun Zheng
- Department of Urology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China; Department of Urology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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Song J, Sun X, Wang T, Li C, Yuan L. Circulating levels of cytokines and risk of urologic cancers: a two-sample Mendelian randomization study. BMC Cancer 2024; 24:1261. [PMID: 39390542 PMCID: PMC11465925 DOI: 10.1186/s12885-024-13016-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 10/01/2024] [Indexed: 10/12/2024] Open
Abstract
BACKGROUND Chronic inflammation is associated with the etiology of various cancers. However, there is a lack of systematic research in urologic cancers. This study aims to use a two-sample Mendelian randomization (MR) approach to evaluate the role of circulating cytokines in the development of urologic cancers. METHODS We obtained the summary-level data for bladder cancer (373,295 cases and 372,016 controls), prostate cancer (462,933 cases and 459,664 controls), and kidney cancer (463,010 cases and 461,896 controls) from the UK Biobank. Genetic variations linked to 41 circulating cytokines were used as instrumental variables (IVs) in meta-analyses of genome-wide association studies (GWASs) involving 8,293 individuals from Finland. We primarily used the inverse-variance weighted (IVW) method to assess the potential associations between the 41 cytokines and the risk of 3 common urologic cancers. Weighted-median method, weighted mode and simple-median method were used to assess the sensitivity. Heterogeneity and pleiotropic outlier were evaluated by Cochran's Q test and MR-Egger regression. Genetic correlation, colocalization analysis and multivariable MR analysis were used to further validate the potential pleiotropy. RESULTS After the Bonferroni correction, there was an observed association between elevated genetically predicted levels of CCL27 and a heightened risk for bladder cancer. Conversely, IL-12p70 levels were found to have a protective association against the risk of bladder cancer. Sensitivity analyses utilizing various IV sets and MR approach remained robust. Furthermore, we found potential associations of 7 cytokines with urologic cancers (4.07 × 10-4 ≤ P < 0.05). CONCLUSION Our study supported causal associations between CCL27, IL-12p70 and bladder cancer risk and potential associations of 7 cytokines with the risk of urologic cancers, helping us to further understand the pathogenesis of urologic cancers and providing clues for improving diagnostic accuracy and therapies.
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Affiliation(s)
- Jinbo Song
- Department of Urology Surgery, Honghui Hospital, Xi'an Jiaotong University, Beilin District, Xi'an, Shaanxi Province, 710000, China.
| | - Xiaoke Sun
- Department of Urology Surgery, Honghui Hospital, Xi'an Jiaotong University, Beilin District, Xi'an, Shaanxi Province, 710000, China
| | - Ting Wang
- Department of Urology Surgery, Honghui Hospital, Xi'an Jiaotong University, Beilin District, Xi'an, Shaanxi Province, 710000, China
| | - Chao Li
- Department of Urology Surgery, Honghui Hospital, Xi'an Jiaotong University, Beilin District, Xi'an, Shaanxi Province, 710000, China
| | - Leihong Yuan
- Department of Urology Surgery, Honghui Hospital, Xi'an Jiaotong University, Beilin District, Xi'an, Shaanxi Province, 710000, China
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Scheipner L, Zurl H, Altziebler JV, Pichler GP, Schöpfer-Schwab S, Jasarevic S, Gaisl M, Pohl KC, Pemberger K, Andlar S, Hutterer GC, Bele U, Leitsmann C, Leitsmann M, Augustin H, Zigeuner R, Ahyai S, Mischinger J. Charlson-Deyo Comorbidity Index as a Novel Predictor for Recurrence in Non-Muscle-Invasive Bladder Cancer. Cancers (Basel) 2023; 15:5770. [PMID: 38136315 PMCID: PMC10742244 DOI: 10.3390/cancers15245770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 11/19/2023] [Accepted: 12/04/2023] [Indexed: 12/24/2023] Open
Abstract
PURPOSE To test the association between the Charlson-Deyo Comorbidity Index (CCI) and the recurrence of non-muscle-invasive bladder cancer (NMIBC). METHODS NMIBC (Ta, T1, TIS) patients who underwent transurethral resection of bladder tumor (TURB) between 2010 and 2018 were identified within a retrospective data repository of a large university hospital. Kaplan-Meier estimates and uni- and multivariable Cox regression models tested for differences in risk of recurrence according to low vs. high comorbidity burden (CCI ≤ 4 vs. >4) and continuously coded CCI. RESULTS A total of 1072 NMIBC patients were identified. The median follow-up time of the study population was 55 months (IQR 29.6-79.0). Of all 1072 NMIBC patients, 423 (39%) harbored a low comorbidity burden vs. 649 (61%) with a high comorbidity burden. Overall, the rate of recurrence was 10% at the 12-month follow-up vs. 22% at the 72-month follow-up. In low vs. high comorbidity burden groups, rates of recurrence were 6 vs. 12% at 12 months and 18 vs. 25% at 72 months of follow-up (p = 0.02). After multivariable adjustment, a high comorbidity burden (CCI > 4) independently predicted a higher risk of recurrence (HR 1.42, 95% confidence interval (CI) 1.06-1.92, p = 0.018). After multivariable adjustment, the hazard of recurrence increased by 5% per each one-unit increase on the CCI scale (HR 1.05, 95% CI 1.00-1.10, p = 0.04). CONCLUSIONS Comorbidities in NMIBC patients are common. Our data suggest that patients with higher CCI have an increased risk of BC recurrence. As a consequence, patients with a high comorbidity burden should be particularly encouraged to adhere to NMIBC guidelines and conform to follow-up protocols.
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Affiliation(s)
- Lukas Scheipner
- Department of Urology, Medical University of Graz, 8010 Graz, Austria; (H.Z.); (J.V.A.); (G.P.P.); (S.S.-S.); (S.J.); (M.G.); (K.C.P.); (K.P.); (S.A.); (G.C.H.); (U.B.); (C.L.); (M.L.); (H.A.); (R.Z.); (S.A.); (J.M.)
| | - Hanna Zurl
- Department of Urology, Medical University of Graz, 8010 Graz, Austria; (H.Z.); (J.V.A.); (G.P.P.); (S.S.-S.); (S.J.); (M.G.); (K.C.P.); (K.P.); (S.A.); (G.C.H.); (U.B.); (C.L.); (M.L.); (H.A.); (R.Z.); (S.A.); (J.M.)
| | - Julia V. Altziebler
- Department of Urology, Medical University of Graz, 8010 Graz, Austria; (H.Z.); (J.V.A.); (G.P.P.); (S.S.-S.); (S.J.); (M.G.); (K.C.P.); (K.P.); (S.A.); (G.C.H.); (U.B.); (C.L.); (M.L.); (H.A.); (R.Z.); (S.A.); (J.M.)
| | - Georg P. Pichler
- Department of Urology, Medical University of Graz, 8010 Graz, Austria; (H.Z.); (J.V.A.); (G.P.P.); (S.S.-S.); (S.J.); (M.G.); (K.C.P.); (K.P.); (S.A.); (G.C.H.); (U.B.); (C.L.); (M.L.); (H.A.); (R.Z.); (S.A.); (J.M.)
| | - Stephanie Schöpfer-Schwab
- Department of Urology, Medical University of Graz, 8010 Graz, Austria; (H.Z.); (J.V.A.); (G.P.P.); (S.S.-S.); (S.J.); (M.G.); (K.C.P.); (K.P.); (S.A.); (G.C.H.); (U.B.); (C.L.); (M.L.); (H.A.); (R.Z.); (S.A.); (J.M.)
| | - Samra Jasarevic
- Department of Urology, Medical University of Graz, 8010 Graz, Austria; (H.Z.); (J.V.A.); (G.P.P.); (S.S.-S.); (S.J.); (M.G.); (K.C.P.); (K.P.); (S.A.); (G.C.H.); (U.B.); (C.L.); (M.L.); (H.A.); (R.Z.); (S.A.); (J.M.)
| | - Michael Gaisl
- Department of Urology, Medical University of Graz, 8010 Graz, Austria; (H.Z.); (J.V.A.); (G.P.P.); (S.S.-S.); (S.J.); (M.G.); (K.C.P.); (K.P.); (S.A.); (G.C.H.); (U.B.); (C.L.); (M.L.); (H.A.); (R.Z.); (S.A.); (J.M.)
| | - Klara C. Pohl
- Department of Urology, Medical University of Graz, 8010 Graz, Austria; (H.Z.); (J.V.A.); (G.P.P.); (S.S.-S.); (S.J.); (M.G.); (K.C.P.); (K.P.); (S.A.); (G.C.H.); (U.B.); (C.L.); (M.L.); (H.A.); (R.Z.); (S.A.); (J.M.)
| | - Karl Pemberger
- Department of Urology, Medical University of Graz, 8010 Graz, Austria; (H.Z.); (J.V.A.); (G.P.P.); (S.S.-S.); (S.J.); (M.G.); (K.C.P.); (K.P.); (S.A.); (G.C.H.); (U.B.); (C.L.); (M.L.); (H.A.); (R.Z.); (S.A.); (J.M.)
| | - Stefan Andlar
- Department of Urology, Medical University of Graz, 8010 Graz, Austria; (H.Z.); (J.V.A.); (G.P.P.); (S.S.-S.); (S.J.); (M.G.); (K.C.P.); (K.P.); (S.A.); (G.C.H.); (U.B.); (C.L.); (M.L.); (H.A.); (R.Z.); (S.A.); (J.M.)
| | - Georg C. Hutterer
- Department of Urology, Medical University of Graz, 8010 Graz, Austria; (H.Z.); (J.V.A.); (G.P.P.); (S.S.-S.); (S.J.); (M.G.); (K.C.P.); (K.P.); (S.A.); (G.C.H.); (U.B.); (C.L.); (M.L.); (H.A.); (R.Z.); (S.A.); (J.M.)
| | - Uros Bele
- Department of Urology, Medical University of Graz, 8010 Graz, Austria; (H.Z.); (J.V.A.); (G.P.P.); (S.S.-S.); (S.J.); (M.G.); (K.C.P.); (K.P.); (S.A.); (G.C.H.); (U.B.); (C.L.); (M.L.); (H.A.); (R.Z.); (S.A.); (J.M.)
| | - Conrad Leitsmann
- Department of Urology, Medical University of Graz, 8010 Graz, Austria; (H.Z.); (J.V.A.); (G.P.P.); (S.S.-S.); (S.J.); (M.G.); (K.C.P.); (K.P.); (S.A.); (G.C.H.); (U.B.); (C.L.); (M.L.); (H.A.); (R.Z.); (S.A.); (J.M.)
| | - Marianne Leitsmann
- Department of Urology, Medical University of Graz, 8010 Graz, Austria; (H.Z.); (J.V.A.); (G.P.P.); (S.S.-S.); (S.J.); (M.G.); (K.C.P.); (K.P.); (S.A.); (G.C.H.); (U.B.); (C.L.); (M.L.); (H.A.); (R.Z.); (S.A.); (J.M.)
- Institute for Applied Quality Improvement and Research in Health Care, 37073 Goettingen, Germany
| | - Herbert Augustin
- Department of Urology, Medical University of Graz, 8010 Graz, Austria; (H.Z.); (J.V.A.); (G.P.P.); (S.S.-S.); (S.J.); (M.G.); (K.C.P.); (K.P.); (S.A.); (G.C.H.); (U.B.); (C.L.); (M.L.); (H.A.); (R.Z.); (S.A.); (J.M.)
| | - Richard Zigeuner
- Department of Urology, Medical University of Graz, 8010 Graz, Austria; (H.Z.); (J.V.A.); (G.P.P.); (S.S.-S.); (S.J.); (M.G.); (K.C.P.); (K.P.); (S.A.); (G.C.H.); (U.B.); (C.L.); (M.L.); (H.A.); (R.Z.); (S.A.); (J.M.)
| | - Sascha Ahyai
- Department of Urology, Medical University of Graz, 8010 Graz, Austria; (H.Z.); (J.V.A.); (G.P.P.); (S.S.-S.); (S.J.); (M.G.); (K.C.P.); (K.P.); (S.A.); (G.C.H.); (U.B.); (C.L.); (M.L.); (H.A.); (R.Z.); (S.A.); (J.M.)
| | - Johannes Mischinger
- Department of Urology, Medical University of Graz, 8010 Graz, Austria; (H.Z.); (J.V.A.); (G.P.P.); (S.S.-S.); (S.J.); (M.G.); (K.C.P.); (K.P.); (S.A.); (G.C.H.); (U.B.); (C.L.); (M.L.); (H.A.); (R.Z.); (S.A.); (J.M.)
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