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Terry KL, Schock H, Fortner RT, Hüsing A, Fichorova RN, Yamamoto HS, Vitonis AF, Johnson T, Overvad K, Tjønneland A, Boutron-Ruault MC, Mesrine S, Severi G, Dossus L, Rinaldi S, Boeing H, Benetou V, Lagiou P, Trichopoulou A, Krogh V, Kuhn E, Panico S, Bueno-de-Mesquita HB, Onland-Moret NC, Peeters PH, Gram IT, Weiderpass E, Duell EJ, Sanchez MJ, Ardanaz E, Etxezarreta N, Navarro C, Idahl A, Lundin E, Jirström K, Manjer J, Wareham NJ, Khaw KT, Byrne KS, Travis RC, Gunter MJ, Merritt MA, Riboli E, Cramer DW, Kaaks R. A Prospective Evaluation of Early Detection Biomarkers for Ovarian Cancer in the European EPIC Cohort. Clin Cancer Res 2016; 22:4664-75. [PMID: 27060155 PMCID: PMC5026545 DOI: 10.1158/1078-0432.ccr-16-0316] [Citation(s) in RCA: 70] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2016] [Accepted: 03/21/2016] [Indexed: 12/17/2022]
Abstract
PURPOSE About 60% of ovarian cancers are diagnosed at late stage, when 5-year survival is less than 30% in contrast to 90% for local disease. This has prompted search for early detection biomarkers. For initial testing, specimens taken months or years before ovarian cancer diagnosis are the best source of information to evaluate early detection biomarkers. Here we evaluate the most promising ovarian cancer screening biomarkers in prospectively collected samples from the European Prospective Investigation into Cancer and Nutrition study. EXPERIMENTAL DESIGN We measured CA125, HE4, CA72.4, and CA15.3 in 810 invasive epithelial ovarian cancer cases and 1,939 controls. We calculated the sensitivity at 95% and 98% specificity as well as area under the receiver operator curve (C-statistic) for each marker individually and in combination. In addition, we evaluated marker performance by stage at diagnosis and time between blood draw and diagnosis. RESULTS We observed the best discrimination between cases and controls within 6 months of diagnosis for CA125 (C-statistic = 0.92), then HE4 (0.84), CA72.4 (0.77), and CA15.3 (0.73). Marker performance declined with longer time between blood draw and diagnosis and for earlier staged disease. However, assessment of discriminatory ability at early stage was limited by small numbers. Combinations of markers performed modestly, but significantly better than any single marker. CONCLUSIONS CA125 remains the single best marker for the early detection of invasive epithelial ovarian cancer, but can be slightly improved by combining with other markers. Identifying novel markers for ovarian cancer will require studies including larger numbers of early-stage cases. Clin Cancer Res; 22(18); 4664-75. ©2016 AACRSee related commentary by Skates, p. 4542.
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Affiliation(s)
- Kathryn L Terry
- Ob/Gyn Epidemiology Center, Brigham and Women's Hospital, Boston, Massachusetts. Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, Massachusetts.
| | - Helena Schock
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Renée T Fortner
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Anika Hüsing
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Raina N Fichorova
- Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, Massachusetts. Genital Tract Biology Laboratory, Brigham and Women's Hospital, Boston, Massachusetts
| | - Hidemi S Yamamoto
- Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, Massachusetts. Genital Tract Biology Laboratory, Brigham and Women's Hospital, Boston, Massachusetts
| | - Allison F Vitonis
- Ob/Gyn Epidemiology Center, Brigham and Women's Hospital, Boston, Massachusetts
| | - Theron Johnson
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kim Overvad
- Department of Epidemiology, Aarhus University, Aarhus, Denmark
| | | | - Marie-Christine Boutron-Ruault
- Université Paris-Sud, Centre de recherche en Épidémiologie et Santé des Populations (CESP), Institut Nationale de Santë et de Recherche Médicale (INSERM), Villejuif, France. Gustave Roussy, Villejuif, France
| | - Sylvie Mesrine
- Université Paris-Sud, Centre de recherche en Épidémiologie et Santé des Populations (CESP), Institut Nationale de Santë et de Recherche Médicale (INSERM), Villejuif, France. Gustave Roussy, Villejuif, France
| | - Gianluca Severi
- Université Paris-Sud, Centre de recherche en Épidémiologie et Santé des Populations (CESP), Institut Nationale de Santë et de Recherche Médicale (INSERM), Villejuif, France. Gustave Roussy, Villejuif, France. Human Genetics Foundation (HuGeF), Torino, Italy. Cancer Council Victoria and University of Melbourne, Australia
| | - Laure Dossus
- Nutrition and Metabolism Section, International Agency for Research on Cancer, Lyon, France
| | - Sabina Rinaldi
- Nutrition and Metabolism Section, International Agency for Research on Cancer, Lyon, France
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition, Potsdam-Rehbruecke, Nuthetal, Germany
| | - Vassiliki Benetou
- Helenic Health Foundation Athens, Athens, Greece. WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - Pagona Lagiou
- Helenic Health Foundation Athens, Athens, Greece. WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - Antonia Trichopoulou
- Helenic Health Foundation Athens, Athens, Greece. WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Elisabetta Kuhn
- Department of Morphology, Surgery and Experimental Medicine and Laboratorio per le Tecnologie delle Terapie Avanzate (LTTA) Centre, University of Ferrara, Ferrara, Italy
| | - Salvatore Panico
- Dipartimento di Medicina Clinical e Chirurgia, Federico II University, Naples, Italy
| | | | - N Charlotte Onland-Moret
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Petra H Peeters
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Inger Torhild Gram
- Department of Community Medicine, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Elisabete Weiderpass
- Department of Community Medicine, University of Tromsø, The Arctic University of Norway, Tromsø, Norway. Department of Research, Cancer Registry of Norway, Institute of Population-Based Case Research, Oslo, Norway. Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden. Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland
| | - Eric J Duell
- Unit of Nutrition and Cancer Cancer Epidemiology Research Program, Bellvitge Biomedical Research Institute, Catalan Institute of Oncology, Barcelona, Spain
| | - Maria-Jose Sanchez
- Escuela Andaluza de Salud Publica, Instituto de Investigación Bionsanitaria ibs. Granada, Hospitales Universitarios de Granada, Granada, Spain. Centro de Investigación Biomédica En Red (CIBER), Section Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Eva Ardanaz
- Centro de Investigación Biomédica En Red (CIBER), Section Epidemiology and Public Health (CIBERESP), Madrid, Spain. Navarra Public Health Institute, Pamplona, Spain. IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Nerea Etxezarreta
- Centro de Investigación Biomédica En Red (CIBER), Section Epidemiology and Public Health (CIBERESP), Madrid, Spain. Public Health Division of Gipuzkoa, Regional Government of the Basque Country, Basque, Spain
| | - Carmen Navarro
- Centro de Investigación Biomédica En Red (CIBER), Section Epidemiology and Public Health (CIBERESP), Madrid, Spain. Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain. Department of Health and Social Sciences, Universidad de Murcia, Murcia, Spain
| | - Annika Idahl
- Department of Clinical Sciences, Obstetrics and Gynecology Umeå, University of Umeå, Umeå, Sweden
| | - Eva Lundin
- Department of Medical Biosciences, Pathology Umeå, University of Umeå, Umeå, Sweden
| | - Karin Jirström
- Department of Clinical Sciences Lund, Oncology and Pathology, Lund University, Lund, Sweden. Department of Surgery, Skåne University Hospital, Lund University, Malmö, Sweden
| | - Jonas Manjer
- Department of Clinical Sciences Lund, Oncology and Pathology, Lund University, Lund, Sweden. Department of Surgery, Skåne University Hospital, Lund University, Malmö, Sweden
| | - Nicholas J Wareham
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Kay-Tee Khaw
- Clinical Gerontology, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Karl Smith Byrne
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Marc J Gunter
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College of London, London, United Kingdom
| | - Melissa A Merritt
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College of London, London, United Kingdom
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College of London, London, United Kingdom
| | - Daniel W Cramer
- Ob/Gyn Epidemiology Center, Brigham and Women's Hospital, Boston, Massachusetts
| | - Rudolf Kaaks
- Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, Massachusetts.
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Lassale C, Gunter MJ, Romaguera D, Peelen LM, Van der Schouw YT, Beulens JWJ, Freisling H, Muller DC, Ferrari P, Huybrechts I, Fagherazzi G, Boutron-Ruault MC, Affret A, Overvad K, Dahm CC, Olsen A, Roswall N, Tsilidis KK, Katzke VA, Kühn T, Buijsse B, Quirós JR, Sánchez-Cantalejo E, Etxezarreta N, Huerta JM, Barricarte A, Bonet C, Khaw KT, Key TJ, Trichopoulou A, Bamia C, Lagiou P, Palli D, Agnoli C, Tumino R, Fasanelli F, Panico S, Bueno-de-Mesquita HB, Boer JMA, Sonestedt E, Nilsson LM, Renström F, Weiderpass E, Skeie G, Lund E, Moons KGM, Riboli E, Tzoulaki I. Diet Quality Scores and Prediction of All-Cause, Cardiovascular and Cancer Mortality in a Pan-European Cohort Study. PLoS One 2016; 11:e0159025. [PMID: 27409582 PMCID: PMC4943719 DOI: 10.1371/journal.pone.0159025] [Citation(s) in RCA: 68] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Accepted: 06/24/2016] [Indexed: 01/10/2023] Open
Abstract
Scores of overall diet quality have received increasing attention in relation to disease aetiology; however, their value in risk prediction has been little examined. The objective was to assess and compare the association and predictive performance of 10 diet quality scores on 10-year risk of all-cause, CVD and cancer mortality in 451,256 healthy participants to the European Prospective Investigation into Cancer and Nutrition, followed-up for a median of 12.8y. All dietary scores studied showed significant inverse associations with all outcomes. The range of HRs (95% CI) in the top vs. lowest quartile of dietary scores in a composite model including non-invasive factors (age, sex, smoking, body mass index, education, physical activity and study centre) was 0.75 (0.72-0.79) to 0.88 (0.84-0.92) for all-cause, 0.76 (0.69-0.83) to 0.84 (0.76-0.92) for CVD and 0.78 (0.73-0.83) to 0.91 (0.85-0.97) for cancer mortality. Models with dietary scores alone showed low discrimination, but composite models also including age, sex and other non-invasive factors showed good discrimination and calibration, which varied little between different diet scores examined. Mean C-statistic of full models was 0.73, 0.80 and 0.71 for all-cause, CVD and cancer mortality. Dietary scores have poor predictive performance for 10-year mortality risk when used in isolation but display good predictive ability in combination with other non-invasive common risk factors.
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Affiliation(s)
- Camille Lassale
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom
| | - Marc J. Gunter
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom
| | - Dora Romaguera
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom
- Instituto de Investigación Sanitaria de Palma (IdISPa), Palma de Mallorca, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Linda M. Peelen
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Yvonne T. Van der Schouw
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Joline W. J. Beulens
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | | | | | - Pietro Ferrari
- International Agency for Research on Cancer, Lyon, France
| | | | - Guy Fagherazzi
- Institut National de la Santé et de la Recherche Médicale, Center for Research in Epidemiology and Population, Health, U1018, Team 9, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
- Paris South University, Unité Mixte de Recherche 1018, Villejuif, France
| | - Marie-Christine Boutron-Ruault
- Institut National de la Santé et de la Recherche Médicale, Center for Research in Epidemiology and Population, Health, U1018, Team 9, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
- Paris South University, Unité Mixte de Recherche 1018, Villejuif, France
| | - Aurélie Affret
- Institut National de la Santé et de la Recherche Médicale, Center for Research in Epidemiology and Population, Health, U1018, Team 9, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
- Paris South University, Unité Mixte de Recherche 1018, Villejuif, France
| | - Kim Overvad
- Section for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Christina C. Dahm
- Section for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Anja Olsen
- Danish Cancer Society, Institute of Cancer Epidemiology, Copenhagen, Denmark
| | - Nina Roswall
- Danish Cancer Society, Institute of Cancer Epidemiology, Copenhagen, Denmark
| | - Konstantinos K. Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - Verena A. Katzke
- Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke German Institute of Human Nutrition, Potsdam, Germany
| | - Tilman Kühn
- Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke German Institute of Human Nutrition, Potsdam, Germany
| | - Brian Buijsse
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - José-Ramón Quirós
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Public Health Directorate, Asturias, Oviedo, Spain
| | - Emilio Sánchez-Cantalejo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Andalusian School of Public Health, Granada, Spain
| | - Nerea Etxezarreta
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Public Health Direction and Biodonostia Basque Regional Health Department, San Sebastian, Spain
| | - José María Huerta
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, Murcia, Spain
| | - Aurelio Barricarte
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Navarre Public Health Institute, Pamplona, Spain
| | - Catalina Bonet
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Unit of Nutrition, Environment and Cancer, Catalan Institute of Oncology, Barcelona, Spain
| | - Kay-Tee Khaw
- University of Cambridge School of Clinical Medicine, Clinical Gerontology Unit, Cambridge, United Kingdom
| | - Timothy J. Key
- Cancer Epidemiology Unit, Nuffield Department of Clinical Medicine, University of Oxford, United Kingdom
| | - Antonia Trichopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
- Hellenic Health Foundation, Athens, Greece
| | - Christina Bamia
- Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
- Hellenic Health Foundation, Athens, Greece
| | - Pagona Lagiou
- Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
- Hellenic Health Foundation, Athens, Greece
| | - Domenico Palli
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute—ISPO, Florence, Italy
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Department of Preventive and Predictive Medicine, Foundation of the Carlo Besta Neurological Institute, Milan, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Unit, “Civic MP Arezzo” Hospital, Ragusa, Italy
| | | | - Salvatore Panico
- Department of Clinical and Experimental Medicine, Federico II University, Naples, Italy
| | - H. Bas Bueno-de-Mesquita
- Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Jolanda M. A. Boer
- Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Emily Sonestedt
- Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden
| | - Lena Maria Nilsson
- Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden
| | - Frida Renström
- Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland
| | - Guri Skeie
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Eiliv Lund
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Karel G. M. Moons
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom
| | - Ioanna Tzoulaki
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom
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3
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Hüsing A, Dossus L, Ferrari P, Tjønneland A, Hansen L, Fagherazzi G, Baglietto L, Schock H, Chang-Claude J, Boeing H, Steffen A, Trichopoulou A, Bamia C, Katsoulis M, Krogh V, Palli D, Panico S, Onland-Moret NC, Peeters PH, Bueno-de-Mesquita HB, Weiderpass E, Gram IT, Ardanaz E, Obón-Santacana M, Navarro C, Sánchez-Cantalejo E, Etxezarreta N, Allen NE, Khaw KT, Wareham N, Rinaldi S, Romieu I, Merritt MA, Gunter M, Riboli E, Kaaks R. An epidemiological model for prediction of endometrial cancer risk in Europe. Eur J Epidemiol 2016; 31:51-60. [PMID: 25968175 DOI: 10.1007/s10654-015-0030-9] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2014] [Accepted: 04/07/2015] [Indexed: 01/12/2023]
Abstract
Endometrial cancer (EC) is the fourth most frequent cancer in women in Europe, and as its incidence is increasing, prevention strategies gain further pertinence. Risk prediction models can be a useful tool for identifying women likely to benefit from targeted prevention measures. On the basis of data from 201,811 women (mostly aged 30-65 years) including 855 incident EC cases from eight countries in the European Prospective Investigation into Cancer and Nutrition cohort, a model to predict EC was developed. A step-wise model selection process was used to select confirmed predictive epidemiologic risk factors. Piece-wise constant hazard rates in 5-year age-intervals were estimated in a cause-specific competing risks model, five-fold-cross-validation was applied for internal validation. Risk factors included in the risk prediction model were body-mass index (BMI), menopausal status, age at menarche and at menopause, oral contraceptive use, overall and by different BMI categories and overall duration of use, parity, age at first full-term pregnancy, duration of menopausal hormone therapy and smoking status (specific for pre, peri- and post-menopausal women). These variables improved the discriminating capacity to predict risk over 5 years from 71% for a model based on age alone to 77% (overall C statistic), and the model was well-calibrated (ratio of expected to observed cases = 0.99). Our model could be used for the identification of women at increased risk of EC in Western Europe. To achieve an EC-risk model with general validity, a large-scale cohort-consortium approach would be needed to assess and adjust for population variation.
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Affiliation(s)
- Anika Hüsing
- Division of Cancer Epidemiology (C020), German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany.
| | - Laure Dossus
- Inserm, Centre for Research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women's Health Team, 94805, Villejuif, France
- UnivParis Sud, UMRS 1018, 94805, Villejuif, France
- IGR, 94805, Villejuif, France
| | - Pietro Ferrari
- International Agency for Research on Cancer, Lyon, France
| | | | - Louise Hansen
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Guy Fagherazzi
- Inserm, Centre for Research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women's Health Team, 94805, Villejuif, France
- UnivParis Sud, UMRS 1018, 94805, Villejuif, France
- IGR, 94805, Villejuif, France
| | - Laura Baglietto
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, 3053, Australia
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, The University of Melbourne, Melbourne, 3010, Australia
| | - Helena Schock
- Division of Cancer Epidemiology (C020), German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Jenny Chang-Claude
- Unit of Genetic Epidemiology, Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Heiner Boeing
- German Institute of Human Nutrition in Potsdam-Rehbruecke, Potsdam, Germany
| | - Annika Steffen
- German Institute of Human Nutrition in Potsdam-Rehbruecke, Potsdam, Germany
| | - Antonia Trichopoulou
- Hellenic Health Foundation, 13 Kaisareias Street, 115 27, Athens, Greece
- Bureau of Epidemiologic Research, Academy of Athens, 23 Alexandroupoleos Street, 115 27, Athens, Greece
| | - Christina Bamia
- Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, 75 M. Asias Street, Goudi, 115 27, Athens, Greece
| | - Michalis Katsoulis
- Hellenic Health Foundation, 13 Kaisareias Street, 115 27, Athens, Greece
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian, 1, 20133, Milan, Italy
| | - Domenico Palli
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute - ISPO, Florence, Italy
| | - Salvatore Panico
- Dipartimento Di Medicina Clinica E Chirurgia, Federico II University, Naples, Italy
| | - N Charlotte Onland-Moret
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
| | - Petra H Peeters
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
| | - H Bas Bueno-de-Mesquita
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, UiT The Arctic University of Norway, Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Samfundet Folkhälsan, Helsinki, Finland
| | - Inger T Gram
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, UiT The Arctic University of Norway, Tromsø, Norway
| | - Eva Ardanaz
- Navarre Public Health Institute, Pamplona, Spain
- CIBER Epidemiology and Public Health CIBERESP, Madrid, Spain
| | - Mireia Obón-Santacana
- Unit of Nutrition, Environment and Cancer. Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
| | - Carmen Navarro
- CIBER Epidemiology and Public Health CIBERESP, Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, Murcia, Spain
- Department of Health and Social Sciences, Universidad de Murcia, Murcia, Spain
| | - Emilio Sánchez-Cantalejo
- CIBER Epidemiology and Public Health CIBERESP, Madrid, Spain
- Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria de Granada (Granada.ibs), Granada, Spain
| | - Nerea Etxezarreta
- CIBER Epidemiology and Public Health CIBERESP, Madrid, Spain
- Public Health Division of Gipuzkoa-BIODONOSTIA, Basque Regional Health Department, San Sebastián, Spain
| | - Naomi E Allen
- CTSU, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Kay Tee Khaw
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Nick Wareham
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Sabina Rinaldi
- International Agency for Research on Cancer, Lyon, France
| | | | - Melissa A Merritt
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
| | - Marc Gunter
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
| | - Rudolf Kaaks
- Division of Cancer Epidemiology (C020), German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
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Abete I, Arriola L, Etxezarreta N, Mozo I, Moreno-Iribas C, Amiano P, Egüés N, Goyenechea E, de Munain AL, Martinez M, Travier N, Navarro C, Chirlaque MD, Tormo MJ, Gavrila D, Huerta JM, Sánchez MJ, Molina-Montes E, Requena M, Jiménez-Hernández MD, Ardanaz E, Barricarte A, Quiros JR, Rodriguez L, Dorronsoro M. Association between different obesity measures and the risk of stroke in the EPIC Spanish cohort. Eur J Nutr 2014; 54:365-75. [DOI: 10.1007/s00394-014-0716-x] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2014] [Accepted: 05/07/2014] [Indexed: 12/23/2022]
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