Fulltext

Endometrial cancer risk prediction including serum-based biomarkers: results from the EPIC cohort

Fortner RT 1 , Hüsing A 1 , Kühn T 1 , Konar M 1 , Overvad K 2 , Tjønneland A 3 Show all authors , Hansen L 3 , Boutron-Ruault MC 4 , Severi G 4 , Fournier A 4 , Boeing H 5 , Trichopoulou A 6 , Benetou V 6 , Orfanos P 6 , Masala G 7 , Agnoli C 8 , Mattiello A 9 , Tumino R 10 , Sacerdote C 11 , Bueno-de-Mesquita HB 12 , Peeters PH 13 , Weiderpass E 14 , Gram IT 14 , Gavrilyuk O 14 , Quirós JR 15 , Maria Huerta J 16 , Ardanaz E 17 , Larrañaga N 17 , Lujan-Barroso L 18 , Sánchez-Cantalejo E 17 , Butt ST 19 , Borgquist S 20 , Idahl A 21 , Lundin E 22 , Khaw KT 23 , Allen NE 24 , Rinaldi S 25 , Dossus L 25 , Gunter M 25 , Merritt MA 26 , Tzoulaki I 26 , Riboli E 26 , Kaaks R 1

Affiliations 

  • 1 Division of Cancer Epidemiology, German Cancer Research Center (DFKZ), Heidelberg, Germany
  • 2 Section for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
  • 3 Unit of Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
  • 4 INSERM, Centre for Research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women's Health team, Villejuif, France
  • 5 Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
  • 6 Hellenic Health Foundation, Athens, Greece
  • 7 Cancer Risk Factors and Life-Style Epidemiology Unit, Cancer Research and Prevention Institute-ISPO, Florence, Italy
  • 8 Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
  • 9 Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
  • 10 Cancer Registry and Histopathology Unit, "Civic-M.P.Arezzo" Hospital, ASP Ragusa, Italy
  • 11 Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
  • 12 Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
  • 13 Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht, The Netherlands
  • 14 Department of Community Medicine, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
  • 15 Public Health Directorate, Asturias, Spain
  • 16 Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
  • 17 CIBER Epidemiología y Salud Pública (CIBERESP), Spain
  • 18 Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
  • 19 Division of Surgery, Clinical Sciences Malmö, Lund University, Lund, Sweden
  • 20 Division of Oncology and Pathology, Clinical Sciences, Lund University, Lund, Sweden
  • 21 Department of Clinical Sciences, Obstetrics and Gynecology, Umeå University, Umeå, Sweden
  • 22 Department of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden
  • 23 Cancer Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
  • 24 Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Cambridge, United Kingdom
  • 25 International Agency for Research on Cancer, Lyon, France
  • 26 School of Public Health, Imperial College London, London, United Kingdom
Int J Cancer, 2017 Mar 15;140(6):1317-1323.
PMID: 27935083 DOI: 10.1002/ijc.30560

Abstract

Endometrial cancer risk prediction models including lifestyle, anthropometric and reproductive factors have limited discrimination. Adding biomarker data to these models may improve predictive capacity; to our knowledge, this has not been investigated for endometrial cancer. Using a nested case-control study within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort, we investigated the improvement in discrimination gained by adding serum biomarker concentrations to risk estimates derived from an existing risk prediction model based on epidemiologic factors. Serum concentrations of sex steroid hormones, metabolic markers, growth factors, adipokines and cytokines were evaluated in a step-wise backward selection process; biomarkers were retained at p 

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

MeSH terms
Similar publications