Linear age-course effects on the associations between body mass index, triglycerides, and female breast and male liver cancer risk: An internal replication study of 800,000 individuals.


Journal

International journal of cancer
ISSN: 1097-0215
Titre abrégé: Int J Cancer
Pays: United States
ID NLM: 0042124

Informations de publication

Date de publication:
01 01 2020
Historique:
received: 02 05 2018
revised: 28 01 2019
accepted: 14 02 2019
pubmed: 1 3 2019
medline: 15 2 2020
entrez: 1 3 2019
Statut: ppublish

Résumé

Apart from the consistently observed differential association between obesity and breast cancer risk by menopausal status, the associations between obesity and other metabolic imbalances with risks of cancers have not been systematically investigated across the age-course. We created two random 50-50% cohorts from six European cohorts comprising 813,927 individuals. In the "discovery cohort", we used Cox regression with attained age as time-scale and tested interactions between body mass index (BMI), blood pressure, plasma glucose, triglycerides and cholesterol, and attained age in relation to cancer risk. Results with a p-value below 0.05 were additionally tested in the "replication cohort" where a replicated result was considered evidence of a linear interaction with attained age. These findings were investigated by flexible parametric survival models for any age-plateaus in their shape of associations with cancer risk across age. Consistent with other studies, BMI was negatively related to breast cancer risk (n cases = 11,723) among younger (premenopausal) women. However, the association remained negative for several years after menopause and, although gradually weakening over age, the association became positive only at 62 years of age. This linear and positive age-interaction was also found for triglycerides and breast cancer, and for BMI and triglycerides in relation to liver cancer among men (n cases = 444). These findings are unlikely to be due to chance owing to the replication. The linear age-interactions in breast cancer may suggest an influence by other age-related factors than menopause; however, further investigation of age-related effect modifiers in both breast and liver cancer is needed.

Identifiants

pubmed: 30815851
doi: 10.1002/ijc.32240
doi:

Substances chimiques

Blood Glucose 0
Triglycerides 0
Cholesterol 97C5T2UQ7J

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

58-67

Informations de copyright

© 2019 UICC.

Références

Kyrgiou M, Kalliala I, Markozannes G, et al. Adiposity and cancer at major anatomical sites: umbrella review of the literature. BMJ 2017;356:j477.
Bhaskaran K, Douglas I, Forbes H, et al. Body-mass index and risk of 22 specific cancers: a population-based cohort study of 5.24 million UKadults. Lancet 2014;384:755-65.
Reeves GK, Pirie K, Beral V, et al. Cancer incidence and mortality in relation to body mass index in the million women study: cohort study. BMJ 2007;335:1134.
Renehan AG, Tyson M, Egger M, et al. Body-mass index and incidence of cancer: a systematic review and meta-analysis of prospective observational studies. Lancet 2008;371:569-78.
Bjorge T, Lukanova A, Jonsson H, et al. Metabolic syndrome and breast cancer in the me-can (metabolic syndrome and cancer) project. Cancer Epidemiol Biomarkers Prev 2010;19:1737-45.
Altman DG, De Stavola BL, Love SB, et al. Review of survival analyses published in cancer journals. Br J Cancer 1995;72:511-8.
Abraira V, Muriel A, Emparanza JI, et al. Reporting quality of survival analyses in medical journals still needs improvement. A minimal requirements proposal. J Clin Epidemiol 2013;66:1340-6 e5.
Stocks T, Borena W, Strohmaier S, et al. Cohort profile: the metabolic syndrome and cancer project (me-can). Int J Epidemiol 2010;39:660-7.
Redrow GP, Guo CC, Brausi MA, et al. Upper urinary tract carcinoma in situ: current knowledge, future direction. J Urol 2017;197:287-95.
Kirkali Z, Chan T, Manoharan M, et al. Bladder cancer: epidemiology, staging and grading, and diagnosis. Urology 2005;66(6 Suppl 1):4-34.
Lewington S, Clarke R, Qizilbash N, et al. Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies. Lancet 2002;360:1903-13.
Bellera CA, MacGrogan G, Debled M, et al. Variables with time-varying effects and the Cox model: some statistical concepts illustrated with a prognostic factor study in breast cancer. BMC Med Res Methodol 2010;10:20.
Van Hemelrijck M, Ulmer H, Nagel G, et al. Longitudinal study of body mass index, dyslipidemia, hyperglycemia, and hypertension in 60,000 men and women in Sweden and Austria. PLoS One 2018;13:e0197830.
Lambert PC, Royston P. Further development of flexible parametric models for survival analysis. Stata J 2009;9:265-90.
McDonald H, Borinskya S, Kiryanov N, et al. Comparative performance of biomarkers of alcohol consumption in a population sample of working-aged men in Russia: the Izhevsk family study. Addiction 2013;108:1579-89.
Pirro V, Valente V, Oliveri P, et al. Chemometric evaluation of nine alcohol biomarkers in a large population of clinically-classified subjects: pre-eminence of ethyl glucuronide concentration in hair for confirmatory classification. Anal Bioanal Chem 2011;401:2153-64.
Conigrave KM, Degenhardt LJ, Whitfield JB, et al. CDT, GGT, and AST as markers of alcohol use: the WHO/ISBRA collaborative project. Alcohol Clin Exp Res 2002;26:332-9.
McLaughlin MJ, Sainani KL. Bonferroni, holm, and Hochberg corrections: fun names, serious changes to p values. PM R 2014;6:544-6.
Neuhouser ML, Aragaki AK, Prentice RL, et al. Overweight, obesity, and postmenopausal invasive breast cancer risk: a secondary analysis of the Women's Health Initiative randomized clinical trials. JAMA Oncol 2015;1:611-21.
Key TJ, Appleby PN, Reeves GK, et al. Body mass index, serum sex hormones, and breast cancer risk in postmenopausal women. J Natl Cancer Inst 2003;95:1218-26.
Guo Y, Warren Andersen S, Shu XO, et al. Genetically predicted body mass index and breast cancer risk: Mendelian randomization analyses of data from 145,000 women of European descent. PLoS Med 2016;13:e1002105.
Gao C, Patel CJ, Michailidou K, et al. Mendelian randomization study of adiposity-related traits and risk of breast, ovarian, prostate, lung and colorectal cancer. Int J Epidemiol 2016;45:896-908.
Kerlikowske K, Gard CC, Tice JA, et al. Risk factors that increase risk of estrogen receptor-positive and -negative breast cancer. J Natl Cancer Inst 2017;109:djw276.
Ritte R, Lukanova A, Berrino F, et al. Adiposity, hormone replacement therapy use and breast cancer risk by age and hormone receptor status: a large prospective cohort study. Breast Cancer Res 2012;14:R76.
World Cancer Research Fund International/American Institute for Cancer Research. Continuous Update Project Report: Diet, Nutrition, Physical Activity and Breast Cancer 2017. Accessed on April 5, 2018 at: wcrf.org/breast-cancer-2017.
His M, Dartois L, Fagherazzi G, et al. Associations between serum lipids and breast cancer incidence and survival in the E3N prospective cohort study. Cancer Causes Control 2017;28:77-88.
Agnoli C, Grioni S, Sieri S, et al. Metabolic syndrome and breast cancer risk: a case-cohort study nested in a multicentre italian cohort. PLoS One 2015;10:e0128891.
Melvin JC, Seth D, Holmberg L, et al. Lipid profiles and risk of breast and ovarian cancer in the Swedish AMORIS study. Cancer Epidemiol Biomarkers Prev 2012;21:1381-4.
Orho-Melander M, Hindy G, Borgquist S, et al. Blood lipid genetic scores, the HMGCR gene, and cancer risk: a Mendelian randomization study. Int J Epidemiol 2018;47:495-505.
Wands J. Hepatocellular carcinoma and sex. N Engl J Med 2007;357:1974-6.
Liu P, Xie SH, Hu S, et al. Age-specific sex difference in the incidence of hepatocellular carcinoma in the United States. Oncotarget 2017;8:68131-7.
Chen Y, Wang X, Wang J, et al. Excess body weight and the risk of primary liver cancer: an updated meta-analysis of prospective studies. Eur J Cancer 2012;48:2137-45.
Jasuja GK, Travison TG, Davda M, et al. Age trends in estradiol and estrone levels measured using liquid chromatography tandem mass spectrometry in community-dwelling men of the Framingham heart study. J Gerontol A Biol Sci Med Sci 2013;68:733-40.
Arnold M, Jiang L, Stefanick ML, et al. Duration of adulthood overweight, obesity, and cancer risk in the Women's Health Initiative: a longitudinal study from the United States. PLoS Med 2016;13:e1002081.
Lee SS, Jeong SH, Byoun YS, et al. Clinical features and outcome of cryptogenic hepatocellular carcinoma compared to those of viral and alcoholic hepatocellular carcinoma. BMC Cancer 2013;13:335.
Yki-Jarvinen H. Non-alcoholic fatty liver disease as a cause and a consequence of metabolic syndrome. Lancet Diabetes Endocrinol 2014;2:901-10.
Wang Y, Li YY, Nie YQ, et al. Association between metabolic syndrome and the development of non-alcoholic fatty liver disease. Exp Ther Med 2013;6:77-84.
Barlow L, Westergren K, Holmberg L, et al. The completeness of the Swedish cancer register - a sample survey for year 1998. Acta Oncol 2009;48:27-33.
Larsen IK, Smastuen M, Johannesen TB, et al. Data quality at the cancer registry of Norway: an overview of comparability, completeness, validity and timeliness. Eur J Cancer 2009;45:1218-31.
Oberaigner W, Stuhlinger W. Record linkage in the cancer registry of Tyrol, Austria. Methods Inf Med 2005;44:626-30.

Auteurs

Christel Häggström (C)

Department of Biobank Research, Umeå University, Umeå, Sweden.
Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden.

Håkan Jonsson (H)

Department of Radiation Sciences, Umeå University, Umeå, Sweden.

Tone Bjørge (T)

Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.
Cancer Registry of Norway, Oslo, Norway.

Gabriele Nagel (G)

Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany.
Vorarlberg Cancer Registry, Agency for Preventive and Social Medicine, Bregenz (aks), Austria.

Jonas Manjer (J)

Department of Surgery, Skåne University Hospital, Lund University, Malmö, Sweden.

Hanno Ulmer (H)

Department of Medical Statistics, Informatics and Health Economics, Innsbruck Medical University, Innsbruck, Austria.

Isabel Drake (I)

Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden.

Sara Ghaderi (S)

Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.

Alois Lang (A)

Vorarlberg Cancer Registry, Agency for Preventive and Social Medicine, Bregenz (aks), Austria.

Anders Engeland (A)

Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.
Norwegian Institute of Public Health, Bergen/Oslo, Norway.

Pär Stattin (P)

Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.

Tanja Stocks (T)

Department of Clinical Sciences in Lund, Lund University, Lund, Sweden.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH