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Saitta C, Afari JA, Walia A, Patil D, Tanaka H, Hakimi K, Wang L, Meagher MF, Liu F, Nguyen MV, Puri D, Cerrato C, Saidian A, Kobayashi M, Fukuda S, Fujii Y, Master V, Derweesh IH. Unraveling the BMI paradox in different renal cortical tumors: insights from the INMARC registry. Urol Oncol 2024; 42:119.e1-119.e16. [PMID: 38341362 DOI: 10.1016/j.urolonc.2023.11.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 09/19/2023] [Accepted: 11/19/2023] [Indexed: 02/12/2024]
Abstract
OBJECTIVE To investigate impact of body mass index (BMI) on survival across different histologies and stages of renal cell carcinoma (RCC). METHODS We conducted a retrospective multicenter analysis of clear cell (ccRCC) and non-ccRCC. Obesity was defined according to the WHO criteria (non-Asian BMI >30 Kg/m2, Asian BMI >27.5 Kg/m2). Multivariable analysis (MVA) via Cox regression model was conducted for all-cause (ACM), cancer-specific mortality (CSM) and recurrence. RESULTS A total of 3,880 patients with a median follow-up of 31 (IQR 9-64) months were analyzed. Overall, 1,373 (35.3%) were obese; 2,895 (74.6%) were ccRCC and 985 (25.3%) were non-ccRCC (chRCC 246 [24.9%], pRCC 469 [47.6%] and vhRCC 270 [27.4%]). MVA in ccRCC revealed obesity associated with decreased risk of ACM, CSM and recurrence (hazard ratio [HR] 0.80, P = 0.044; HR 0.71, P = 0.039; HR 0.73, P = 0.012, respectively), while in non-ccRCC was not associated with decreased risk of ACM, CSM, and recurrence (P = 0.84, P = 0.53, P = 0.84, respectively). Subset analysis in stage IV ccRCC demonstrated obesity as associated with a decreased risk of ACM, CSM, and recurrence (HR 0.68, P = 0.04; HR 0.59, P = 0.01; HR 0.59, P = 0.01, respectively), while in stage I-III ccRCC was not (P = 0.21; P = 0.30; P = 0.19, respectively). CONCLUSION Our findings refute a broad "obesity paradox" for RCC. Obesity was not associated with improved survival in non-ccRCC and in nonmetastatic ccRCC, while metastatic ccRCC patients with obesity had improved survival outcomes.
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Affiliation(s)
- Cesare Saitta
- Department of Urology, UC San Diego Health System, San Diego, CA
| | - Jonathan A Afari
- Department of Urology, UC San Diego Health System, San Diego, CA
| | - Arman Walia
- Department of Urology, UC San Diego Health System, San Diego, CA
| | | | - Hajime Tanaka
- Department of Urology, Tokyo Medical and Dental University, Tokyo, Japan
| | - Kevin Hakimi
- Department of Urology, UC San Diego Health System, San Diego, CA
| | - Luke Wang
- Department of Urology, UC San Diego Health System, San Diego, CA
| | | | - Franklin Liu
- Department of Urology, UC San Diego Health System, San Diego, CA
| | - Mimi V Nguyen
- Department of Urology, UC San Diego Health System, San Diego, CA
| | - Dhruv Puri
- Department of Urology, UC San Diego Health System, San Diego, CA
| | - Clara Cerrato
- Department of Urology, UC San Diego Health System, San Diego, CA
| | - Ava Saidian
- Department of Urology, UC San Diego Health System, San Diego, CA
| | - Masaki Kobayashi
- Department of Urology, Tokyo Medical and Dental University, Tokyo, Japan
| | - Shohei Fukuda
- Department of Urology, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yasuhisa Fujii
- Department of Urology, Tokyo Medical and Dental University, Tokyo, Japan
| | - Viraj Master
- Department of Urology, Emory Medical Center, Atlanta, GA
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Olsson LT, Eberle CE, Petruzella S, Robinson WR, Furberg H. A comparison of analytic approaches for investigating the obesity paradox in kidney cancer. Cancer Causes Control 2023; 34:361-370. [PMID: 36786871 PMCID: PMC10448500 DOI: 10.1007/s10552-023-01670-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 01/16/2023] [Indexed: 02/15/2023]
Abstract
PURPOSE Body mass index (BMI) and kidney cancer mortality are inconsistently associated in the scientific literature. To understand how study design affects results, we contrasted associations between pre-diagnosis BMI and mortality under different analytic scenarios in a large, population-based prospective cohort study. METHODS Using data from the NIH-AARP Diet and Health Study (1995-2011), we constructed two cohorts: a "full at-risk" cohort with no kidney cancer history at baseline (n = 252,845) and an "incident cancer" subset who developed kidney cancer during follow-up (n = 1,652). Cox Proportional Hazards models estimated hazard ratios (HR) and 95% confidence intervals (CI) between pre-diagnosis BMI and mortality for different outcomes (all-cause and cancer-specific mortality), in the different cohorts (full at-risk vs. incident cancer cohort), and with different covariates (minimally vs. fully adjusted). For the incident cancer cohort, we also examined time to mortality using different timescales: from enrollment or diagnosis. RESULTS In the full at-risk study population, higher pre-diagnosis BMI was associated with greater cancer-specific mortality in fully adjusted multivariable models, particularly for obese participants [HR, (95% CI): 1.76, (1.38-2.25)]. This association was less pronounced in the incident cancer cohort [1.50, (1.09-2.07)]. BMI was not strongly associated with all-cause mortality in either cohort in fully adjusted models [full cohort: 1.03, (1.01, 1.06); incident cancer cohort: 1.20, (0.97, 1.48)]. CONCLUSIONS Populations characterized by high adult BMI will likely experience greater population burdens of mortality from kidney cancer, partially because of higher rates of kidney cancer diagnosis. Questions regarding overall mortality burden and post-diagnosis cancer survivorship are distinct and require different study designs.
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Affiliation(s)
- Linnea T Olsson
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Carolyn E Eberle
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Stacey Petruzella
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Whitney R Robinson
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC, USA
| | - Helena Furberg
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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