EPIC (European Prospective Investigation into Cancer and Nutrition) (Cohort)

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ID49
NameEPIC (European Prospective Investigation into Cancer and Nutrition)
AcronymEPIC
DescriptionA prospective cohort study designed to investigate the relationship between nutrition and cancer, with the potential for studying other diseases as well. The EPIC study is among the largest studies on diet and cancer with more than than one-half million participants recruited between 1992 and 2000 in 23 centers in 10 European countries. It includes the following cohorts: Diet, Cancer and Health (Denmark); E3N Cohort Study (France); Heidelberg and Potsdam (Germany); EPIC-Greece cohort (Greece); Milan, Florence, Naples, Turin and Ragusa (Italy); Norwegian Women and Cancer Study (NOWAC, Norway); Asturias, Granada, Navarra, Murcia and San Sebastian (Spain); Malmö Diet and Cancer Study (MDCS) and Västerbotten Intervention Project (VIP) in Umea (Sweden); MORGEN-EPIC in Bilthoven and Prospect-EPIC in Utrecht (The Netherlands); EPIC-Oxford and EPIC-Norfolk (United Kingdom).
Country
PubMed ID9126529
URLhttp://epic.iarc.fr/
Cohort designObservation

Publications with EPIC (European Prospective Investigation into Cancer and Nutrition)

TitleFirst authorYear
Soya intake and plasma concentrations of daidzein and genistein: validity of dietary assessment among eighty British women (Oxford arm of the European Prospective Investigation into Cancer and Nutrition)Verkasalo2001
Phytanic acid: measurement of plasma concentrations by gas-liquid chromatography-mass spectrometry analysis and associations with diet and other plasma fatty acidsAllen2008
Plasma carotenoids as biomarkers of intake of fruits and vegetables: individual-level correlations in the European Prospective Investigation into Cancer and Nutrition (EPIC)Al-Delaimy2005
Plasma carotenoid levels in Dutch men and women, and the relation with vegetable and fruit consumptionJansen2004
Phytoestrogen concentrations in serum and spot urine as biomarkers for dietary phytoestrogen intake and their relation to breast cancer risk in European prospective investigation of cancer and nutrition-norfolkGrace2004
Very-long-chain omega-3 fatty acids as markers for habitual fish intake in a population consuming mainly lean fish: the EPIC cohort of GipuzkoaAmiano2001
Use of biological markers to validate self-reported dietary intake in a random sample of the European Prospective Investigation into Cancer United Kingdom Norfolk cohortMcKeown2001
Comparison of self-reported alcohol intake with the urinary excretion of 5-hydroxytryptophol:5-hydroxyindole-3-acetic acid, a biomarker of recent alcohol intakeKroke2001
Validation of a self-administered food-frequency questionnaire administered in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study: comparison of energy, protein, and macronutrient intakes estimated with [...]Kroke1999
Relative validity and reproducibility of a diet history questionnaire in Spain. III. Biochemical markersGonzalez1997
The Dutch EPIC food frequency questionnaire. II. Relative validity and reproducibility for nutrientsOcke1997
Reproducibility and relative validity of an extensive semi-quantitative food frequency questionnaire using dietary records and biochemical markers among Greek schoolteachersKatsouyanni1997
DNA adduct levels and DNA repair polymorphisms in traffic-exposed workers and a general population samplePalli2001
Reliability of fasting plasma alkylresorcinol concentrations measured 4 months apartMontonen2010
Reliability of selected antioxidants and compounds involved in one-carbon metabolism in two Dutch cohortsLeenders2013
Polyphenol metabolome in human urine and its association with intake of polyphenol-rich foods across European countriesEdmands2015
Plasma carotenoids, vitamin C, tocopherols, and retinol and the risk of breast cancer in the European Prospective Investigation into Cancer and Nutrition cohortBakker2016
Plasma carotenoids, vitamin C, retinol and tocopherols levels and pancreatic cancer risk within the European Prospective Investigation into Cancer and Nutrition: a nested case-control study: plasma micronutrients and pancreatic cancer riskJeurnink2015
Plasma and dietary carotenoids and vitamins A, C and E and risk of colon and rectal cancer in the European Prospective Investigation into Cancer and NutritionLeenders2014
Plasma selenium concentration and prostate cancer risk: results from the European Prospective Investigation into Cancer and Nutrition (EPIC)Allen2008
Plasma carotenoids, retinol, and tocopherols and the risk of prostate cancer in the European Prospective Investigation into Cancer and Nutrition studyKey2007
Plasma and dietary carotenoid, retinol and tocopherol levels and the risk of gastric adenocarcinomas in the European prospective investigation into cancer and nutritionJenab2006
Plasma carotenoids and vitamin C concentrations and risk of urothelial cell carcinoma in the European Prospective Investigation into Cancer and NutritionRos2012
Circulating vitamin D in relation to cancer incidence and survival of the head and neck and oesophagus in the EPIC cohortFanidi2016
Circulating 25-hydroxyvitamin D3 in relation to renal cell carcinoma incidence and survival in the EPIC cohortMuller2014
Prediagnostic circulating vitamin D levels and risk of hepatocellular carcinoma in European populations: a nested case-control studyFedirko2014
Plasma 25-hydroxyvitamin D concentration and lymphoma risk: results of the European Prospective Investigation into Cancer and NutritionLuczynska2013
Plasma 25-hydroxyvitamin D and the risk of breast cancer in the European prospective investigation into cancer and nutrition: a nested case-control studyKuhn2013
Association between pre-diagnostic circulating vitamin D concentration and risk of colorectal cancer in European populations:a nested case-control studyJenab2010
Serum vitamin D and risk of prostate cancer in a case-control analysis nested within the European Prospective Investigation into Cancer and Nutrition (EPIC)Travis2009
Dietary antioxidants and the aetiology of pancreatic cancer: a cohort study using data from food diaries and biomarkersBanim2013
Plasma and dietary vitamin C levels and risk of gastric cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC-EURGAST)Jenab2006
Biomarkers of folate and vitamin B12 and breast cancer risk: report from the EPIC cohortMatejcic2017
Plasma Riboflavin and Vitamin B-6, but Not Homocysteine, Folate, or Vitamin B-12, Are Inversely Associated with Breast Cancer Risk in the European Prospective Investigation into Cancer and Nutrition-Varese CohortAgnoli2016
A U-shaped relationship between plasma folate and pancreatic cancer risk in the European Prospective Investigation into Cancer and NutritionChuang2011
Serum B vitamin levels and risk of lung cancerJohansson2010
Plasma folate, related genetic variants, and colorectal cancer risk in EPICEussen2010
Vitamins B2 and B6 and genetic polymorphisms related to one-carbon metabolism as risk factors for gastric adenocarcinoma in the European prospective investigation into cancer and nutritionEussen2010
Circulating concentrations of folate and vitamin B12 in relation to prostate cancer risk: results from the European Prospective Investigation into Cancer and Nutrition studyJohansson2008
The association of gastric cancer risk with plasma folate, cobalamin, and methylenetetrahydrofolate reductase polymorphisms in the European Prospective Investigation into Cancer and NutritionVollset2007
Plasma vitamins B2, B6, and B12, and related genetic variants as predictors of colorectal cancer riskEussen2010
A prospective study of one-carbon metabolism biomarkers and cancer of the head and neck and esophagusFanidi2015
Circulating biomarkers of one-carbon metabolism in relation to renal cell carcinoma incidence and survivalJohansson2014
Plasma alkylresorcinols, biomarkers of whole-grain wheat and rye intake, and incidence of colorectal cancerKyro2014
Prediagnostic concentrations of plasma genistein and prostate cancer risk in 1,605 men with prostate cancer and 1,697 matched control participants in EPICTravis2012
Plasma phyto-oestrogens and prostate cancer in the European Prospective Investigation into Cancer and NutritionTravis2009
Breast cancer risk in relation to urinary and serum biomarkers of phytoestrogen exposure in the European Prospective into Cancer-Norfolk cohort studyWard2008
Lack of prospective associations between plasma and urinary phytoestrogens and risk of prostate or colorectal cancer in the European Prospective into Cancer-Norfolk studyWard2008
Plasma phytoestrogens and subsequent breast cancer riskVerheus2007
Phytoestrogen exposure, polymorphisms in COMT, CYP19, ESR1, and SHBG genes, and their associations with prostate cancer riskLow2006
A prospective evaluation of plasma phospholipid fatty acids and breast cancer risk in the EPIC studyChajes2017
Plasma phytanic acid concentration and risk of prostate cancer: results from the European Prospective Investigation into Cancer and NutritionPrice2010
Dietary antioxidant intake and the risk of developing Barrett's oesophagus and oesophageal adenocarcinomaKang2018
Results from the European Prospective Investigation into Cancer and Nutrition Link Vitamin B6 Catabolism and Lung Cancer RiskZuo2018

Biomarker data

Measurements of biomarkers in EPIC (European Prospective Investigation into Cancer and Nutrition)

Concentration values

IDParent IDDepthSubject groupPopulationCountryCohortBiomarker Time definitionBiospecimenAnalytical methodBiomarkerBiomarker detailMeasurement sizeDetected (nb)Detected (%)Detected only?Arithmethic meanArithmethic SDGeometric meanGeometric SDMinMin (detected)Percentile_05Percentile_10Percentile_25MedianPercentile_75Percentile_90Percentile_95MaxInterquartile rangeMean 95% CI lowerMean 95% CI upperGMean 95% CI lowerGMean 95% CI upperUnitConverted arithmetic meanConverted geometric meanConverted medianConverted unitAdjustment typeAdjusted onRegressed onExpressed asPublication

Reproducibility values

IDExcretion IDSubject groupPopulationCountryCohortBiomarker Time definitionBiospecimenAnalytical methodBiomarkerBiomarker detailArithmetic meanGeometric meanMedianUnitAdjusted onReproducibility sizeICCICC 95% CI lowerICC 95% CI upperCV% WSCV% BSVAR WSVAR BSPublication

Associations of biomarkers and exposures in EPIC (European Prospective Investigation into Cancer and Nutrition)

Correlation values

IDIntake IDExcretion IDSubject groupPopulationCountryCohortIntake Time definitionIntake Assessment methodIntakeIntake detailSupplement intakes included?Intake Arithmetic meanIntake Geometric meanIntake MedianIntake UnitIntake Adjusted onBiomarker Time definitionBiospecimenAnalytical methodBiomarkerBiomarker detailBiomarker Arithmetic meanBiomarker Geometric meanBiomarker MedianBiomarker UnitBiomarker Adjusted onCorrelation sizeCorrelation typeCorrelation valueCorrelation 95% CI lowerCorrelation 95% CI upperCorrelation p-valueSignificant?Measurement adjustmentDeattenuated?CovariatesPublication

Metabolomic associations

IDIntake IDExcretion IDSubject groupPopulationCountryCohortNo. of subjectsIntake Assessment methodIntakeIntervention doseBiospecimenAnalytical methodBiomarkerStructural identificationFeature selectionArea under curveSensitivitySpecificityPLS-DA VIPBeta coefficientBeta coefficient p-valueANOVA p-valuePublication

Associations of biomarkers and cancer risk in EPIC (European Prospective Investigation into Cancer and Nutrition)

Cancer associations

IDExcretion IDSubject groupPopulationCountryCohortNo. of subjectsNo. of casesNo. of controlsBiospecimenAnalytical methodBiomarkerBiomarker detailCancerStudy designPublication

Exposure data

Measurements of exposures in EPIC (European Prospective Investigation into Cancer and Nutrition)

Intake values

IDParent IDDepthSubject groupPopulationCountryCohortIntake Time definitionIntake assessment toolIntake food coverageIntake time coverageIntake Assessment methodIntakeIntake detailFood descriptionSupplement intakes included?Measurement sizeDetected (nb)Detected (%)Detected only?Arithmethic meanArithmethic SDGeometric meanGeometric SDMinMin (detected)Percentile_05Percentile_10Percentile_25MedianPercentile_75Percentile_90Percentile_95MaxInterquartile rangeMean 95% CI lowerMean 95% CI upperGMean 95% CI lowerGMean 95% CI upperUnitConverted arithmetic meanConverted geometric meanConverted medianConverted unitAdjustment typeAdjusted onRegressed onExpressed asPublication