Please use this identifier to cite or link to this item: http://hdl.handle.net/10668/3881
Title: Development and validation of a lifestyle-based model for colorectal cancer risk prediction: the LiFeCRC score
Authors: Aleksandrova, Krasimira
Reichmann, Robin
Kaaks, Rudolf
Jenab, Mazda
Bueno-de-Mesquita, H. Bas
Dahm, Christina C.
Eriksen, Anne Kirstine
Tjønneland, Anne
Artaud, Fanny
Boutron-Ruault, Marie-Christine
Severi, Gianluca
Hüsing, Anika
Trichopoulou, Antonia
Karakatsani, Anna
Peppa, Eleni
Panico, Salvatore
Masala, Giovanna
Grioni, Sara
Sacerdote, Carlotta
Tumino, Rosario
Elias, Sjoerd G.
May, Anne M.
Borch, Kristin B.
Sandanger, Torkjel M.
Skeie, Guri
Sánchez, Maria-Jose
Huerta, José María
Sala, Núria
Gurrea, Aurelio Barricarte
Quirós, José Ramón
Amiano, Pilar
Berntsson, Jonna
Drake, Isabel
van Guelpen, Bethany
Harlid, Sophia
Key, Tim
Weiderpass, Elisabete
Aglago, Elom K.
Cross, Amanda J.
Tsilidis, Konstantinos K.
Riboli, Elio
Gunter, Marc J.
metadata.dc.contributor.authoraffiliation: [Aleksandrova,K; Reichmann,R] Nutrition, Immunity and Metabolism Senior Scientist Group, Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany. [Aleksandrova,K; Reichmann,R] Institute of Nutritional Science, University of Potsdam, Potsdam, Germany. [Aleksandrova,K] Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany. [Kaaks,R; Hüsing,A] Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany. [Jenab,M; Weiderpass,E; Aglago,EK; Gunter,MJ] International Agency for Research on Cancer, World Health Organization, Lyon, France. [Bueno-de-Mesquita,HB] National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands. [Bueno-de-Mesquita,HB; Cross,AJ; Tsilidis,KK; Riboli,E] Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK. [Dahm,CC] Department of Public Health, Aarhus University, Aarhus, Denmark. [Eriksen,AK; Tjønneland,A] Danish Cancer Society Research Center, Copenhagen, Denmark. [Artaud,F; Boutron-Ruault,MC; Severi,G] CESP, Faculté de Medicine, Université Paris-Saclay, Villejuif, France. [Artaud,F; Boutron-Ruault,MC; Severi,G] Institut Gustave Roussy, Villejuif, France. [Severi,G] Dipartimento di Statistica, Informatica e Applicazioni “G. Parenti” (DISIA), University of Florence, Florence, Italy. [Trichopoulou,A; Karakatsani,A; Peppa,E] Hellenic Health Foundation, Athens, Greece. [Karakatsani,A] 2nd Pulmonary Medicine Department, School of Medicine, National and Kapodistrian University of Athens, “ATTIKON” University Hospital, Haidari, Greece. [Panico,S] EPIC Centre of Naples, Dipartimento di Medicina Clinica e Chirurgia, University of Naples Federico II, Naples, Italy. [Masala,G] 1Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network – ISPRO, Florence, Italy. [Grioni,S] Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy. [Sacerdote,C] Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy. [Tumino,R] Cancer Registry and Histopathology Department, Provincial Health Authority (ASP), Ragusa, Italy. [Elias,SG; May,AM] Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands. [Borch,KB; Sandanger,TM; Skeie,G] Department of Community Medicine, Health Faculty, UiT-the Arctic university of Norway, Tromsø, Norway. [Sánchez,MJ] Escuela Andaluza de Salud Pública (EASP), Granada, Spain. [Sánchez,MJ] Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain. [Sánchez,MJ; Huerta,JM; Gurrea,AB; Amiano,P] Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain. [Sánchez,MJ] Universidad de Granada, Granada, Spain. [Huerta,JM] Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain. [Sala,N] Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Translational Research Laboratory, Catalan Institute of Oncology (ICO), Barcelona, Spain. [Sala,N] Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain. [Gurrea,AB] Navarra Public Health Institute, Pamplona, Spain. [Gurrea,AB] Navarra Institute for Health Research (IdiSNA), Pamplona, Spain. [Quirós,JR] Public Health Directorate, Asturias, Spain. [Amiano,P] Ministry of Health of the Basque Government, Public Health Division of Gipuzkoa, Biodonostia Health Research Institute, Donostia-San Sebastian, Spain. [Berntsson,J] Department of Clinical Sciences, Division of Oncology and Pathology, Lund University, Lund, Sweden. [Drake,I] Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden. [van Guelpen,B; Harlid,S] Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden. [van Guelpen,B] Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden. [Key,T] Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK. [Tsilidis,KK] Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece.
Keywords: Colorectal cancer;Risk prediction;Lifestyle behaviour;Risk screening;Cancer prevention;Neoplasias colorrectales;Riesgo;Estilo de vida;Prevención de Enfermedades
metadata.dc.subject.mesh: Medical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies
Medical Subject Headings::Check Tags::Female
Medical Subject Headings::Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans
Medical Subject Headings::Check Tags::Male
Medical Subject Headings::Persons::Persons::Age Groups::Adult::Middle Aged
Medical Subject Headings::Health Care::Health Care Quality, Access, and Evaluation::Quality of Health Care::Health Care Evaluation Mechanisms::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies::Prospective Studies
Medical Subject Headings::Health Care::Health Care Quality, Access, and Evaluation::Quality of Health Care::Health Care Evaluation Mechanisms::Statistics as Topic::Probability::Risk::Risk Assessment
Medical Subject Headings::Health Care::Health Care Quality, Access, and Evaluation::Quality of Health Care::Health Care Evaluation Mechanisms::Statistics as Topic::Probability::Risk
Medical Subject Headings::Diseases::Neoplasms::Neoplasms by Site::Digestive System Neoplasms::Gastrointestinal Neoplasms::Intestinal Neoplasms::Colorectal Neoplasms
Medical Subject Headings::Phenomena and Processes::Physiological Phenomena::Nutritional Physiological Phenomena::Diet
Medical Subject Headings::Psychiatry and Psychology::Behavior and Behavior Mechanisms::Psychology, Social::Life Style
Medical Subject Headings::Phenomena and Processes::Physiological Phenomena::Nutritional Physiological Phenomena::Nutritional Status
Medical Subject Headings::Technology and Food and Beverages::Food and Beverages::Food::Vegetables
Medical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Calibration
Medical Subject Headings::Phenomena and Processes::Musculoskeletal and Neural Physiological Phenomena::Musculoskeletal Physiological Phenomena::Musculoskeletal Physiological Processes::Movement::Motor Activity::Exercise
Issue Date: 4-Jan-2021
Publisher: BioMed Central, Springer Nature
Citation: Aleksandrova K, Reichmann R, Kaaks R, Jenab M, Bueno-de-Mesquita HB, Dahm CC, et al. Development and validation of a lifestyle-based model for colorectal cancer risk prediction: the LiFeCRC score. BMC Med. 2021 Jan 4;19(1):1
Abstract: Background: Nutrition and lifestyle have been long established as risk factors for colorectal cancer (CRC). Modifiable lifestyle behaviours bear potential to minimize long-term CRC risk; however, translation of lifestyle information into individualized CRC risk assessment has not been implemented. Lifestyle-based risk models may aid the identification of high-risk individuals, guide referral to screening and motivate behaviour change. We therefore developed and validated a lifestyle-based CRC risk prediction algorithm in an asymptomatic European population. Methods: The model was based on data from 255,482 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) study aged 19 to 70 years who were free of cancer at study baseline (1992-2000) and were followed up to 31 September 2010. The model was validated in a sample comprising 74,403 participants selected among five EPIC centres. Over a median follow-up time of 15 years, there were 3645 and 981 colorectal cancer cases in the derivation and validation samples, respectively. Variable selection algorithms in Cox proportional hazard regression and random survival forest (RSF) were used to identify the best predictors among plausible predictor variables. Measures of discrimination and calibration were calculated in derivation and validation samples. To facilitate model communication, a nomogram and a web-based application were developed. Results: The final selection model included age, waist circumference, height, smoking, alcohol consumption, physical activity, vegetables, dairy products, processed meat, and sugar and confectionary. The risk score demonstrated good discrimination overall and in sex-specific models. Harrell's C-index was 0.710 in the derivation cohort and 0.714 in the validation cohort. The model was well calibrated and showed strong agreement between predicted and observed risk. Random survival forest analysis suggested high model robustness. Beyond age, lifestyle data led to improved model performance overall (continuous net reclassification improvement = 0.307 (95% CI 0.264-0.352)), and especially for young individuals below 45 years (continuous net reclassification improvement = 0.364 (95% CI 0.084-0.575)). Conclusions: LiFeCRC score based on age and lifestyle data accurately identifies individuals at risk for incident colorectal cancer in European populations and could contribute to improved prevention through motivating lifestyle change at an individual level.
URI: http://hdl.handle.net/10668/3881
metadata.dc.relation.publisherversion: https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-020-01826-0
metadata.dc.identifier.doi: 10.1186/s12916-020-01826-0
ISSN: 1741-7015 (Online)
Appears in Collections:01- Artículos - EASP. Escuela Andaluza de Salud Pública

Files in This Item:
File Description SizeFormat 
Aleksandrova_DevelopmentAnd.pdfArtículo publicado1,24 MBAdobe PDFView/Open
Aleksandrova_DevelopmentAnd_MaterialSuplementario1.docxMaterial suplementario43,61 kBMicrosoft Word XMLView/Open
Aleksandrova_DevelopmentAnd_MaterialSuplementario2.docxMaterial suplementario2,2 MBMicrosoft Word XMLView/Open


This item is protected by original copyright



This item is licensed under a Creative Commons License Creative Commons