101. The influence of obesity-related factors in the etiology of renal cell carcinoma—A mendelian randomization study
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Elisabete Weiderpass, J. Brent Richards, Peter Selby, Emily White, Peng Li, Ghislaine Scelo, David C. Muller, Garnet L. Anderson, Nicholas J. Timpson, David Zaridze, Mattias Johansson, Poulami Barman, Laura E. Beane Freeman, Alexander S. Parker, Simone Benhamou, Mark P. Purdue, Ingrid Winship, Victoria L. Stevens, Wong-Ho Chow, Valerie Gaborieau, Neal D. Freedman, Jean-François Deleuze, Juhua Luo, Philip C Haycock, Kevin M. Brown, Todd L. Edwards, Jeanette E. Eckel-Passow, Tony Fletcher, Ulrike Peters, Anush Mukeriya, Christel Häggström, Fiona Bruinsma, Timothy Eisen, Richard J. Kahnoski, George Davey Smith, I-Min Lee, Laurie Burdette, Lisa Johnson, Hallie Carol, Alicja Wolk, Jolanta Lissowska, Zhaoming Wang, Stephen J. Chanock, Yuanqing Ye, Sabrina L. Noyes, Jan Lubinski, Marie Navratilova, Matthew L. Freedman, Xifeng Wu, Ivana Holcatova, Stella Koutros, Vladimir Janout, Richard S. Houlston, James D. McKay, Toni K. Choueiri, Anne Boland, Susanna C. Larsson, Rosamonde E. Banks, Gabriella Andreotti, Sanja Radojevic-Skodric, Egor Prokhortchouk, Eunyoung Cho, Stefan Rascu, Paul Brennan, Hélène Blanché, David Petillo, James Larkin, Konstantin G. Skryabin, Börje Ljungberg, Marc J. Gunter, Viorel Jinga, Howard D. Sesso, Matthieu Foll, Brian R. Lane, Peter Rudnai, Jean-Guillaume Garnier, J. Michael Gaziano, Geraldine Cancel-Tassin, Caroline L Relton, Julie E. Buring, Meredith Yeager, Raviprakash T. Sitaram, Kristian Hveem, Loren Lipworth, Olivier Cussenot, Bin Tean Teh, Robert Carreras-Torres, Peter E. Clark, Vladimir Bencko, Simona Ognjanovic, Mark Pomerantz, Stephanie J. Weinstein, Mitchell J. Machiela, G. Mark Lathrop, Dana Mates, Lenka Foretova, Gianluca Severi, Bradley C. Leibovich, Leandro M. Colli, Daniela Mariosa, Marc Henrion, Satu Männistö, Susan J. Jordan, Kathryn M. Wilson, Richard M. Martin, Eleonora Fabianova, Jonathan N. Hofmann, Lars J. Vatten, Susan M. Gapstur, Cezary Cybulski, Wen-Yi Huang, Douglas F. Easton, Lee E. Moore, Cancer Research UK, Carreras-Torres, Robert [0000-0002-2925-734X], Timpson, Nicolas J [0000-0002-7141-9189], Haycock, Philip C [0000-0001-5001-3350], Brown, Kevin M [0000-0002-8558-6711], Machiela, Mitchell J [0000-0001-6538-9705], Li, Peng [0000-0002-0682-9819], Radojevic-Skodric, Sanja [0000-0002-5395-8285], Holcatova, Ivana [0000-0002-1366-0337], Mates, Dana [0000-0002-6219-9807], Mukeriya, Anush [0000-0002-6847-9295], Fabianova, Eleonora [0000-0002-5519-8427], Jinga, Viorel [0000-0001-7632-5328], Cancel-Tassin, Geraldine [0000-0002-9583-6382], Cussenot, Olivier [0000-0002-9912-0533], Weiderpass, Elisabete [0000-0003-2237-0128], Bruinsma, Fiona [0000-0002-9356-2015], Jordan, Susan J [0000-0002-4566-1414], Severi, Gianluca [0000-0001-7157-419X], Winship, Ingrid [0000-0001-8535-6003], Fletcher, Tony [0000-0003-3385-200X], Larsson, Susanna C [0000-0003-0118-0341], Wolk, Alicja [0000-0001-7387-6845], Banks, Rosamonde E [0000-0002-0042-8715], Beane Freeman, Laura E [0000-0003-1294-4124], Weinstein, Stephanie [0000-0002-3834-1535], Edwards, Todd L [0000-0003-4318-6119], Gapstur, Susan M [0000-0002-1934-2110], Stevens, Victoria L [0000-0003-0259-4407], Carol, Hallie [0000-0001-8890-9785], Pomerantz, Mark M [0000-0003-4914-1157], Freedman, Neal D [0000-0003-0074-1098], Huang, Wen-Yi [0000-0002-4440-3368], Petillo, David [0000-0001-7234-4644], Anderson, Garnet L [0000-0001-5087-7837], Moore, Lee E [0000-0002-5957-8283], Henrion, Marc [0000-0003-1242-839X], Barman, Poulami [0000-0002-4604-9868], Choueiri, Toni K [0000-0002-9201-3217], McKay, James D [0000-0002-1787-3874], Richards, J Brent [0000-0002-3746-9086], Martin, Richard M [0000-0002-7992-7719], Davey Smith, George [0000-0002-1407-8314], Brennan, Paul [0000-0002-0518-8714], and Apollo - University of Cambridge Repository
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Blood Glucose ,Male ,Physiology ,Epidemiology ,Blood Pressure ,Genome-wide association study ,030204 cardiovascular system & hematology ,urologic and male genital diseases ,Bioinformatics ,Biochemistry ,Vascular Medicine ,Body Mass Index ,Endocrinology ,Mathematical and Statistical Techniques ,0302 clinical medicine ,Risk Factors ,Renal cell carcinoma ,Medicine and Health Sciences ,Insulin ,Medicine ,030212 general & internal medicine ,2. Zero hunger ,Cancer Risk Factors ,Statistics ,Public Health, Global Health, Social Medicine and Epidemiology ,Mendelian Randomization Analysis ,Genomics ,11 Medical And Health Sciences ,General Medicine ,Lipids ,Kidney Neoplasms ,3. Good health ,Oncology ,Physiological Parameters ,Physical Sciences ,Female ,ICEP ,Research Article ,Genetic Markers ,medicine.medical_specialty ,Research and Analysis Methods ,Instrumental Variable Analysis ,Carcinomas ,03 medical and health sciences ,General & Internal Medicine ,Mendelian randomization ,Genome-Wide Association Studies ,Genetics ,Carcinoma ,Humans ,VDP::Medisinske Fag: 700 ,Obesity ,Statistical Methods ,Carcinoma, Renal Cell ,Diabetic Endocrinology ,Cancer och onkologi ,business.industry ,Body Weight ,Renal Cell Carcinoma ,Cancers and Neoplasms ,Biology and Life Sciences ,Computational Biology ,Cancer ,Human Genetics ,Genome Analysis ,medicine.disease ,Hormones ,VDP::Medical disciplines: 700 ,Genitourinary Tract Tumors ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,Diabetes Mellitus, Type 2 ,Medical Risk Factors ,Cancer and Oncology ,Etiology ,business ,Mathematics ,Genome-Wide Association Study - Abstract
Background Several obesity-related factors have been associated with renal cell carcinoma (RCC), but it is unclear which individual factors directly influence risk. We addressed this question using genetic markers as proxies for putative risk factors and evaluated their relation to RCC risk in a mendelian randomization (MR) framework. This methodology limits bias due to confounding and is not affected by reverse causation. Methods and findings Genetic markers associated with obesity measures, blood pressure, lipids, type 2 diabetes, insulin, and glucose were initially identified as instrumental variables, and their association with RCC risk was subsequently evaluated in a genome-wide association study (GWAS) of 10,784 RCC patients and 20,406 control participants in a 2-sample MR framework. The effect on RCC risk was estimated by calculating odds ratios (ORSD) for a standard deviation (SD) increment in each risk factor. The MR analysis indicated that higher body mass index increases the risk of RCC (ORSD: 1.56, 95% confidence interval [CI] 1.44–1.70), with comparable results for waist-to-hip ratio (ORSD: 1.63, 95% CI 1.40–1.90) and body fat percentage (ORSD: 1.66, 95% CI 1.44–1.90). This analysis further indicated that higher fasting insulin (ORSD: 1.82, 95% CI 1.30–2.55) and diastolic blood pressure (DBP; ORSD: 1.28, 95% CI 1.11–1.47), but not systolic blood pressure (ORSD: 0.98, 95% CI 0.84–1.14), increase the risk for RCC. No association with RCC risk was seen for lipids, overall type 2 diabetes, or fasting glucose. Conclusions This study provides novel evidence for an etiological role of insulin in RCC, as well as confirmatory evidence that obesity and DBP influence RCC risk., Using mendelian randomization approaches, Paul Brennan and colleagues reveal an association between 12 obesity-related factors, including insulin and the development of renal cell carcinoma., Author summary Why was this study done? Traditional observational studies wherein putative risk factors are measured directly have found several obesity-related factors associated with increased risk of renal cell carcinoma (RCC). Traditional observational studies are subject to confounding and reverse causation and have not been able to disentangle which obesity-related risk factors directly influence RCC risk. This study used an alternative methodology commonly referred to as mendelian randomization (MR). MR circumvents many of the inherent limitations of traditional observational study by use of genetic proxies of putative risk factors when evaluating their associations with disease risk, as they are not subject to reverse causation and are less likely to be confounded by other risk factors. What did the researchers do and find? First, we used large-scale genome-wide association studies (GWAS) to identify genetic variants associated with obesity measures, blood pressure, lipids, type 2 diabetes, insulin, and glucose. Second, these genetic variants were used as proxies for the above-mentioned risk factors and evaluated in relation RCC risk using GWAS data from 10,000 RCC patients and 20,000 control participants. Based on these genetic data, we found that multiple measures of obesity, as well as diastolic blood pressure (DBP) and fasting insulin, are associated with RCC risk. In contrast, we found little evidence for an association with RCC risk for systolic blood pressure (SBP), circulating lipids, overall diabetes, or fasting glucose. What do these findings mean? This study provided robust and confirmatory evidence of an important role of obesity as an important risk factor of RCC. Further confirmatory evidence was found for elevated DBP as a risk factor of RCC, but it is not clear why DBP rather than SBP is important in RCC. The study, to our knowledge, provided novel evidence of an important role of circulating insulin in RCC etiology. This study provided some novel insights into the pathways involved in mediating the risk increase in RCC that is caused by obesity, most notably through insulin and DBP, but further research is needed to fully elucidate the important relationship between obesity and RCC.
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- 2019