Associations Between Glycemic Traits and Colorectal Cancer: A Mendelian Randomization Analysis

. 2022 May 09 ; 114 (5) : 740-752.

Jazyk angličtina Země Spojené státy americké Médium print

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/pmid35048991

Grantová podpora
U01 CA182883 NCI NIH HHS - United States
P30 CA015704 NCI NIH HHS - United States
G1000143 Medical Research Council - United Kingdom
R01 CA244588 NCI NIH HHS - United States
MC_UU_00006/1 Medical Research Council - United Kingdom
001 World Health Organization - International
29019 Cancer Research UK - United Kingdom
C18281/A29019 Cancer Research UK - United Kingdom

BACKGROUND: Glycemic traits-such as hyperinsulinemia, hyperglycemia, and type 2 diabetes-have been associated with higher colorectal cancer risk in observational studies; however, causality of these associations is uncertain. We used Mendelian randomization (MR) to estimate the causal effects of fasting insulin, 2-hour glucose, fasting glucose, glycated hemoglobin (HbA1c), and type 2 diabetes with colorectal cancer. METHODS: Genome-wide association study summary data were used to identify genetic variants associated with circulating levels of fasting insulin (n = 34), 2-hour glucose (n = 13), fasting glucose (n = 70), HbA1c (n = 221), and type 2 diabetes (n = 268). Using 2-sample MR, we examined these variants in relation to colorectal cancer risk (48 214 case patient and 64 159 control patients). RESULTS: In inverse-variance models, higher fasting insulin levels increased colorectal cancer risk (odds ratio [OR] per 1-SD = 1.65, 95% confidence interval [CI] = 1.15 to 2.36). We found no evidence of any effect of 2-hour glucose (OR per 1-SD = 1.02, 95% CI = 0.86 to 1.21) or fasting glucose (OR per 1-SD = 1.04, 95% CI = 0.88 to 1.23) concentrations on colorectal cancer risk. Genetic liability to type 2 diabetes (OR per 1-unit increase in log odds = 1.04, 95% CI = 1.01 to 1.07) and higher HbA1c levels (OR per 1-SD = 1.09, 95% CI = 1.00 to 1.19) increased colorectal cancer risk, although these findings may have been biased by pleiotropy. Higher HbA1c concentrations increased rectal cancer risk in men (OR per 1-SD = 1.21, 95% CI = 1.05 to 1.40), but not in women. CONCLUSIONS: Our results support a causal effect of higher fasting insulin, but not glucose traits or type 2 diabetes, on increased colorectal cancer risk. This suggests that pharmacological or lifestyle interventions that lower circulating insulin levels may be beneficial in preventing colorectal tumorigenesis.

Bristol Medical School Department of Population Health Sciences University of Bristol Bristol UK

Cancer Epidemiology Unit Nuffield Department of Population Health University of Oxford Oxford UK

Channing Division of Network Medicine Department of Medicine Brigham and Women's Hospital and Harvard Medical School Boston MA USA

Clinical and Translational Epidemiology Unit Massachusetts General Hospital and Harvard Medical School Boston MA USA

Colorectal Cancer Group ONCOBELL Program Bellvitge Biomedical Research Institute L'Hospitalet de Llobregat Barcelona Spain

Computational Medicine Berlin Institute of Health Charité University Medicine Berlin Germany

Department of Epidemiology and Biostatistics School of Public Health Imperial College London London UK

Department of Epidemiology Harvard T H Chan School of Public Health Harvard University Boston MA USA

Department of Epidemiology University of Washington Seattle WA USA

Department of Human Genetics University of Exeter Research Innovation Learning and Development Building Royal Devon and Exeter Hospital Exeter UK

Department of Hygiene and Epidemiology University of Ioannina School of Medicine Ioannina Greece

Department of Molecular Biology of Cancer Institute of Experimental Medicine of the Czech Academy of Sciences Prague Czech Republic

Department of Nutrition Harvard T H Chan School of Public Health Boston MA USA

Department of Pathology and Laboratory Medicine Mayo Clinic Arizona Scottsdale AZ USA

Department of Preventive Medicine USC Norris Comprehensive Cancer Center CA USA

Department of Radiation Sciences Oncology Umeå University Umeå Sweden

Division of Gastroenterology Massachusetts General Hospital and Harvard Medical School Boston MA USA

Division of Human Nutrition and Health Wageningen University and Research Wageningen the Netherlands

Exeter Centre of Excellence in Diabetes Exeter Medical School University of Exeter Exeter UK

Faculty of Medicine and Biomedical Center in Pilsen Charles University Pilsen Czech Republic

Health Data Research UK Wellcome Genome Campus and University of Cambridge Cambridge UK

Institute of Biology and Medical Genetics 1st Faculty of Medicine Charles University Prague Czech Republic

Institute of Environmental Medicine Karolinska Institutet Stockholm Sweden

Keck School of Medicine University of Southern California Los Angeles CA USA

MRC Epidemiology Unit University of Cambridge Cambridge UK

MRC Integrative Epidemiology Unit Population Health Sciences Bristol Medical School University of Bristol Bristol UK

National Institute for Health Research Bristol Biomedical Research Centre University Hospitals Bristol NHS Foundation Trust and the University of Bristol Bristol UK

Nutrition and Metabolism Branch International Agency for Research on Cancer Lyon France

Prevention and Cancer Control Clinical Institutes and Quality Programs Ontario Health Ontario Canada

Public Health Sciences Division Fred Hutchinson Cancer Research Center Seattle WA USA

School of Cellular and Molecular Medicine University of Bristol Bristol UK

University of Southern California Preventative Medicine Los Angeles CA USA

Wallenberg Centre for Molecular Medicine Umeå University Umeå Sweden

Zobrazit více v PubMed

WCRF-AICR. Diet, nutrition, physical activity and colorectal cancer. Continuous update project.  https://www.wcrf.org/wp-content/uploads/2021/02/Colorectal-cancer-report.pdf (Accessed 20 September 2021).

Lauby-Secretan B, Scoccianti C, Loomis D, Grosse Y, Bianchini F, Straif K; International Agency for Research on Cancer Handbook Working Group. Body fatness and cancer — viewpoint of the IARC Working Group. N Engl J Med. 2016;375(8):794–798. PubMed PMC

Bull CJ, Bell JA, Murphy N, et al.  Adiposity, metabolites, and colorectal cancer risk: Mendelian randomization study. BMC Med. 2020;18(1):396. PubMed PMC

Murphy N, Jenab M, Gunter MJ.  Adiposity and gastrointestinal cancers: epidemiology, mechanisms and future directions. Nat Rev Gastroenterol Hepatol. 2018;15(11):659–670. PubMed

Tsilidis KK, Kasimis JC, Lopez DS, Ntzani EE, Ioannidis JPA.  Type 2 diabetes and cancer: umbrella review of meta-analyses of observational studies. BMJ. 2015;350:g7607. PubMed

Pearson-Stuttard J, Papadimitriou N, Markozannes G, et al.  Type 2 diabetes and cancer: an umbrella review of observational and Mendelian randomisation studies. Cancer Epidemiol Biomarkers Prev. 2021;30(6):1218–1228. PubMed PMC

Goto A, Yamaji T, Sawada N, et al.  Diabetes and cancer risk: a Mendelian randomization study. Int J Cancer. 2020;146(3):712–719. PubMed PMC

Yuan S, Kar S, Carter P, et al.  Is type 2 diabetes causally associated with cancer risk? Evidence from a two-sample mendelian randomization study. Diabetes. 2020;69(7):1588–1596. PubMed PMC

Rinaldi S, Rohrmann S, Jenab M, et al.  Glycosylated hemoglobin and risk of colorectal cancer in men and women, the European prospective investigation into cancer and nutrition. Cancer Epidemiol Biomarkers Prev. 2008;17(11):3108–3115. PubMed

Dashti SG, Viallon V, Simpson JA, et al.  Explaining the link between adiposity and colorectal cancer risk in men and postmenopausal women in the UK Biobank: a sequential causal mediation analysis. Int J Cancer. 2020;147(7):1881–1894. PubMed

Peila R, Rohan TE.  Diabetes, glycated hemoglobin, and risk of cancer in the UK Biobank study. Cancer Epidemiol Biomarkers Prev. 2020;29(6):1107–1119. PubMed

Xu J, Ye Y, Wu H, et al.  Association between markers of glucose metabolism and risk of colorectal cancer. BMJ Open. 2016;6(6):e011430. PubMed PMC

Lin J, Ridker PM, Pradhan A, et al.  Hemoglobin A1c concentrations and risk of colorectal cancer in women. Cancer Epidemiol Biomarkers Prev. 2005;14(12):3010–3012. PubMed PMC

Pang Y, Kartsonaki C, Guo Y, et al.  Diabetes, plasma glucose and incidence of colorectal cancer in Chinese adults: a prospective study of 0.5 million people. J Epidemiol Community Health. 2018;72(10):919–925. PubMed PMC

Myte R, Gylling B, Häggström J, et al.  Metabolic factors and the risk of colorectal cancer by KRAS and BRAF mutation status. Int J Cancer. 2019;145(2):327–337. PubMed

Chen L, Li L, Wang Y, et al.  Circulating C-peptide level is a predictive factor for colorectal neoplasia: evidence from the meta-analysis of prospective studies. Cancer Causes Control. 2013;24(10):1837–1847. PubMed

Ma J, Giovannucci E, Pollak M, et al.  A prospective study of plasma C-peptide and colorectal cancer risk in men. J Natl Cancer Inst. 2004;96(7):546–553. PubMed

Kaaks R, Toniolo P, Akhmedkhanov A, et al.  Serum C-peptide, Insulin-Like Growth Factor (IGF)-I, IGF-binding proteins, and colorectal cancer risk in women. J Natl Cancer Inst. 2000;92(19):1592–1600. PubMed

Schoen RE, Tangen CM, Kuller LH, et al.  Increased blood glucose and insulin, body size, and incident colorectal cancer. J Natl Cancer Inst. 1999;91(13):1147–1154. PubMed

Limburg PJ, Stolzenberg-Solomon RZ, Vierkant RA, et al.  Insulin, glucose, insulin resistance and incident colorectal cancer in male smokers. Clin Gastroenterol Hepatol. 2006;4(12):1514–1521. PubMed PMC

Gunter MJ, Hoover DR, Yu H, et al.  Insulin, insulin-like growth factor-I, endogenous estradiol, and risk of colorectal cancer in postmenopausal women. Cancer Res. 2008;68(1):329–337. PubMed PMC

Palmqvist R, Stattin P, Rinaldi S, et al.  Plasma insulin, IGF-binding proteins-1 and -2 and risk of colorectal cancer: a prospective study in Northern Sweden. Int J Cancer. 2003;107(1):89–93. PubMed

Saydah SH, Platz EA, Rifai N, Pollak MN, Brancati FL, Helzlsouer KJ.  Association of markers of insulin and glucose control with subsequent colorectal cancer risk. cancer. Epidemiol Biomarkers Prev. 2003;12(5):412–418. PubMed

Myte R, Harlid S, Sundkvist A, et al.  A longitudinal study of prediagnostic metabolic biomarkers and the risk of molecular subtypes of colorectal cancer. Sci Rep. 2020;10(1):5336. PubMed PMC

Huyghe JR, Bien SA, Harrison TA, et al.  Discovery of common and rare genetic risk variants for colorectal cancer. Nat Genet. 2019;51(1):76–87. PubMed PMC

Mahajan A, Taliun D, Thurner M, et al.  Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps. Nat Genet. 2018;50(11):1505–1513. PubMed PMC

NealeLab. UK Biobank GWAS Results. 2019; http://www.nealelab.is/uk-biobank. Accessed September 30, 2019.

Chen J, Spracklen CN, Marenne G, et al.; Meta-Analysis of Glucose and Insulin-related Traits Consortium (MAGIC). The trans-ancestral genomic architecture of glycemic traits. Nat Genet. 2021;53(6):840–860. PubMed PMC

Chen J, Spracklen CN, Marenne G, et al.  The trans-ancestral genomic architecture of glycaemic traits. bioRxiv. 2020;2020.07.23.217646. doi: 2020.2007.2023.217646. PubMed

Fred Hutchinson Cancer Research Center. Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO). https://www.fredhutch.org/en/research/divisions/public-health-sciences-division/research/cancer-prevention/genetics-epidemiology-colorectal-cancer-consortium-gecco.html. Accessed September 16, 2021.

FinnGen Consortium. FinnGen documentation of R4 Release. https://finngen.gitbook.io/documentation/. Accessed September 20, 2021.

Benjamini Y, Hochberg Y.  Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Sta Soc Ser B Methodol. 1995;57(1):289–300.

Bowden J, Davey Smith G, Burgess S.  Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression. Int J Epidemiol. 2015;44(2):512–525. PubMed PMC

Bowden J, Davey Smith G, Haycock PC, Burgess S.  Consistent estimation in Mendelian randomization with some invalid instruments using a weighted median estimator. Genet Epidemiol. 2016;40(4):304–314. PubMed PMC

Verbanck M, Chen C-Y, Neale B, Do R.  Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases. Nat Genet. 2018;50(5):693–698. PubMed PMC

Yavorska OO, Burgess S.  Mendelian randomization: an R package for performing Mendelian randomization analyses using summarized data. Int J Epidemiol. 2017;46(6):1734–1739. PubMed PMC

Pollak M.  Insulin and insulin-like growth factor signalling in neoplasia. Nat Rev Cancer. 2008;8(12):915–928. PubMed

Gallagher EJ, LeRoith D.  Hyperinsulinaemia in cancer. Nat Rev Cancer. 2020;20(11):629–644. PubMed

Tran TT, Naigamwalla D, Oprescu AI, et al.  Hyperinsulinemia, but not other factors associated with insulin resistance, acutely enhances colorectal epithelial proliferation in vivo. Endocrinology. 2006;147(4):1830–1837. PubMed

Kiunga GA, Raju J, Sabljic N, Bajaj G, Good CK, Bird RP.  Elevated insulin receptor protein expression in experimentally induced colonic tumors. Cancer Letters. 2004;211(2):145–153. PubMed

Santoro MA, Andres SF, Galanko JA, Sandler RS, Keku TO, Lund PK.  Reduced insulin-like growth factor I receptor and altered insulin receptor isoform mRNAs in normal mucosa predict colorectal adenoma risk. Cancer Epidemiol Biomarkers Prev. 2014;23(10):2093–2100. PubMed PMC

Rapp K, Schroeder J, Klenk J, et al.  Fasting blood glucose and cancer risk in a cohort of more than 140,000 adults in Austria. Diabetologia. 2006;49(5):945–952. PubMed

Stattin PR, BjöR O, Ferrari P, et al.  Prospective study of hyperglycemia and cancer risk. Diabetes Care. 2007;30(3):561–567. PubMed

Kabat GC, Kim MY, Strickler HD, et al.  A longitudinal study of serum insulin and glucose levels in relation to colorectal cancer risk among postmenopausal women. Br J Cancer. 2012;106(1):227–232. PubMed PMC

Murphy N, Ward HA, Jenab M, et al.  Heterogeneity of colorectal cancer risk factors by anatomical subsite in 10 European countries: a multinational cohort study. Clin Gastroenterol Hepatol. 2019;17(7):1323–1331. PubMed PMC

Huyghe JR, Harrison TA, Bien SA, et al.  Genetic architectures of proximal and distal colorectal cancer are partly distinct. Gut. 2021;70(7):1325–1334. PubMed PMC

Wang L, Lo C-H, He X, et al.  Risk factor profiles differ for cancers of different regions of the colorectum. Gastroenterology. 2020;159(1):241–256.e213. PubMed PMC

Hu Y, Zhang X, Ma Y, et al.  Incident type 2 diabetes duration and cancer risk: a prospective study in two US cohorts. J Natl Cancer Inst. 2021;113(4):381–389. PubMed PMC

Walker VM, Harrison S, Carter AR, Gill D, Tzoulaki I, Davies NM.  The consequences of adjustment, correction and selection in genome-wide association studies used for two-sample Mendelian randomization. medRxiv. 2021. doi:2020.2007.2013.20152413.

Brion M-JA, Shakhbazov K, Visscher PM.  Calculating statistical power in Mendelian randomization studies. Int J Epidemiol. 2013;42(5):1497–1501. PubMed PMC

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