Emma Hazelwood, Lucy J Goudswaard, Matthew A Lee, Marina Vabistsevits, Dimitri J Pournaras, Hermann Brenner, Daniel D Buchanan, Stephen B Gruber, Andrea Gsur, Li Li, Ludmila Vodickova, Robert C Grant, N Jewel Samadder, Nicholas J Timpson, Marc J Gunter, Benjamin Schuster-Böckler, James Yarmolinsky, Tom G Richardson, Heinz Freisling, Neil Murphy, Emma E Vincent
{"title":"Adiposity distribution and risks of 12 obesity-related cancers: a Mendelian randomization analysis.","authors":"Emma Hazelwood, Lucy J Goudswaard, Matthew A Lee, Marina Vabistsevits, Dimitri J Pournaras, Hermann Brenner, Daniel D Buchanan, Stephen B Gruber, Andrea Gsur, Li Li, Ludmila Vodickova, Robert C Grant, N Jewel Samadder, Nicholas J Timpson, Marc J Gunter, Benjamin Schuster-Böckler, James Yarmolinsky, Tom G Richardson, Heinz Freisling, Neil Murphy, Emma E Vincent","doi":"10.1093/jnci/djaf201","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>There is convincing evidence that overall adiposity increases the risks of several cancers. Whether the distribution of adiposity plays a similar role is unclear.</p><p><strong>Methods: </strong>We used 2-sample Mendelian randomization (MR) to examine causal relationships of 5 adiposity distribution traits (abdominal subcutaneous adipose tissue (ASAT); visceral adipose tissue (VAT); gluteofemoral adipose tissue (GFAT); liver fat; and pancreas fat) with the risks of 12 obesity-related cancers (endometrial, ovarian, breast, colorectal, pancreas, multiple myeloma, liver, kidney (renal cell), thyroid, gallbladder, esophageal adenocarcinoma, and meningioma).</p><p><strong>Results: </strong>Sample size across all genome-wide association studies (GWAS) ranged from 8407 to 728 896 (median: 57 249). We found evidence that higher genetically predicted ASAT increased the risks of endometrial cancer, liver cancer, and esophageal adenocarcinoma (odds ratios (OR) and 95% confidence intervals (CI) per standard deviation (SD) higher ASAT = 1.79 (1.18 to 2.71), 3.83 (1.39 to 10.53), and 2.34 (1.15 to 4.78), respectively). Conversely, we found evidence that higher genetically predicted GFAT decreased the risks of breast cancer and meningioma (ORs and 95% CIs per SD higher genetically predicted GFAT = 0.77 (0.62 to 0.97) and 0.53 (0.32 to 0.90), respectively). We also found evidence for an effect of higher genetically predicted VAT and liver fat on increased liver cancer risk (ORs and 95% CIs per SD higher genetically predicted adiposity trait = 4.29 (1.41 to 13.07) and 4.09 (2.29 to 7.28), respectively).</p><p><strong>Discussion: </strong>Our analyses provide novel insights into the relationship between adiposity distribution and cancer risk. These insights highlight the potential importance of adipose tissue distribution alongside maintaining a healthy weight for cancer prevention.</p>","PeriodicalId":14809,"journal":{"name":"JNCI Journal of the National Cancer Institute","volume":" ","pages":""},"PeriodicalIF":7.2000,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JNCI Journal of the National Cancer Institute","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/jnci/djaf201","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: There is convincing evidence that overall adiposity increases the risks of several cancers. Whether the distribution of adiposity plays a similar role is unclear.
Methods: We used 2-sample Mendelian randomization (MR) to examine causal relationships of 5 adiposity distribution traits (abdominal subcutaneous adipose tissue (ASAT); visceral adipose tissue (VAT); gluteofemoral adipose tissue (GFAT); liver fat; and pancreas fat) with the risks of 12 obesity-related cancers (endometrial, ovarian, breast, colorectal, pancreas, multiple myeloma, liver, kidney (renal cell), thyroid, gallbladder, esophageal adenocarcinoma, and meningioma).
Results: Sample size across all genome-wide association studies (GWAS) ranged from 8407 to 728 896 (median: 57 249). We found evidence that higher genetically predicted ASAT increased the risks of endometrial cancer, liver cancer, and esophageal adenocarcinoma (odds ratios (OR) and 95% confidence intervals (CI) per standard deviation (SD) higher ASAT = 1.79 (1.18 to 2.71), 3.83 (1.39 to 10.53), and 2.34 (1.15 to 4.78), respectively). Conversely, we found evidence that higher genetically predicted GFAT decreased the risks of breast cancer and meningioma (ORs and 95% CIs per SD higher genetically predicted GFAT = 0.77 (0.62 to 0.97) and 0.53 (0.32 to 0.90), respectively). We also found evidence for an effect of higher genetically predicted VAT and liver fat on increased liver cancer risk (ORs and 95% CIs per SD higher genetically predicted adiposity trait = 4.29 (1.41 to 13.07) and 4.09 (2.29 to 7.28), respectively).
Discussion: Our analyses provide novel insights into the relationship between adiposity distribution and cancer risk. These insights highlight the potential importance of adipose tissue distribution alongside maintaining a healthy weight for cancer prevention.
期刊介绍:
The Journal of the National Cancer Institute is a reputable publication that undergoes a peer-review process. It is available in both print (ISSN: 0027-8874) and online (ISSN: 1460-2105) formats, with 12 issues released annually. The journal's primary aim is to disseminate innovative and important discoveries in the field of cancer research, with specific emphasis on clinical, epidemiologic, behavioral, and health outcomes studies. Authors are encouraged to submit reviews, minireviews, and commentaries. The journal ensures that submitted manuscripts undergo a rigorous and expedited review to publish scientifically and medically significant findings in a timely manner.