Affiliations 

  • 1 Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
  • 2 Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD
  • 3 Navarra Public Health Institute, Pamplona, Spain
  • 4 Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
  • 5 Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA
  • 6 Public Health Sciences Division, Program in Epidemiology, Fred Hutchinson Cancer Research Center, Seattle, WA
  • 7 PathWest Laboratory Medicine, Fiona Stanley Hospital, Perth, WA, Australia
  • 8 Sorbonne Paris Cité Epidemiology and Statistics Research Center (CRESS), Nutritional Epidemiology Research Team (EREN), Inserm U1153/Inra U1125/Cnam/Paris 13 University, Paris, France
  • 9 Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
  • 10 Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
  • 11 Medical School, University of Western Australia, Perth, WA, Australia
  • 12 Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
  • 13 Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
  • 14 Division of Research, Kaiser Permanente Northern California, Oakland, CA
  • 15 Department of Biobank Research, Umeå University, Umeå, Sweden
  • 16 Keck School of Medicine, University of Southern California, Los Angeles, CA
  • 17 Nuffield Department of Surgery, University of Oxford, Oxford, United Kingdom
  • 18 IGFs & Metabolic Endocrinology Group, Translational Health Sciences, Bristol Medical School, Faculty of Health Sciences, University of Bristol, Bristol, United Kingdom
  • 19 Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
  • 20 Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
  • 21 Department of Environmental Epidemiology, University of Occupational and Environmental Health, Kitakyushu, Japan
  • 22 Icahn School of Medicine at Mount Sinai, New York, NY
  • 23 University of Hawaii Cancer Center, Honolulu, HI
  • 24 Department of Neurology, University of Tennessee Health Science Center, Memphis, TN
  • 25 Japanese Red Cross Kyoto Daiichi Hospital, Kyoto, Japan
  • 26 Chemical Pathology Directorate, SA Pathology, Adelaide, SA, Australia
  • 27 Cancer Prevention Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
  • 28 Department of Health Sciences, University of York and the Hull York Medical School, York, UK
  • 29 Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark
  • 30 Radiation Effects Research Foundation, Hiroshima, Japan
  • 31 Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
  • 32 Department of Medicine and Oncology, McGill University, Montreal, QC, Canada
  • 33 Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
  • 34 Hokkaido University Faculty of Medicine, Hokkaido, Japan
  • 35 Department of Medical Biosciences and Pathology, Umea University, Umea, Sweden
  • 36 Hellenic Health Foundation, Athens, Greece
  • 37 Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
  • 38 Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
Int J Cancer, 2019 Dec 15;145(12):3244-3256.
PMID: 30873591 DOI: 10.1002/ijc.32276

Abstract

Insulin-like growth factors (IGFs) and insulin-like growth factor binding proteins (IGFBPs) have been implicated in the aetiology of several cancers. To better understand whether anthropometric, behavioural and sociodemographic factors may play a role in cancer risk via IGF signalling, we examined the cross-sectional associations of these exposures with circulating concentrations of IGFs (IGF-I and IGF-II) and IGFBPs (IGFBP-1, IGFBP-2 and IGFBP-3). The Endogenous Hormones, Nutritional Biomarkers and Prostate Cancer Collaborative Group dataset includes individual participant data from 16,024 male controls (i.e. without prostate cancer) aged 22-89 years from 22 prospective studies. Geometric means of protein concentrations were estimated using analysis of variance, adjusted for relevant covariates. Older age was associated with higher concentrations of IGFBP-1 and IGFBP-2 and lower concentrations of IGF-I, IGF-II and IGFBP-3. Higher body mass index was associated with lower concentrations of IGFBP-1 and IGFBP-2. Taller height was associated with higher concentrations of IGF-I and IGFBP-3 and lower concentrations of IGFBP-1. Smokers had higher concentrations of IGFBP-1 and IGFBP-2 and lower concentrations of IGFBP-3 than nonsmokers. Higher alcohol consumption was associated with higher concentrations of IGF-II and lower concentrations of IGF-I and IGFBP-2. African Americans had lower concentrations of IGF-II, IGFBP-1, IGFBP-2 and IGFBP-3 and Hispanics had lower IGF-I, IGF-II and IGFBP-3 than non-Hispanic whites. These findings indicate that a range of anthropometric, behavioural and sociodemographic factors are associated with circulating concentrations of IGFs and IGFBPs in men, which will lead to a greater understanding of the mechanisms through which these factors influence cancer risk.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.