Elisabete Weiderpass
Professor AdjunctCards
About
Research
Publications
2026
Higher intake of dietary dicarbonyl compounds is associated with lower incidence of type 2 diabetes: European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct case-cohort study
Maasen K, Mayen A, Hana C, Knaze V, van Greevenbroek M, Eussen S, Debras C, Stehouwer C, Tjønneland A, Kyrø C, Ibsen D, Dah C, Mancini F, Laouali N, Hajji M, Schulze M, Bajracharya R, Katzke V, Masala G, Pasanisi F, Milani L, Pala V, Mañé M, Moreno-Iribas C, Rodriguez-Barranco M, Yohar S, Mokoroa O, Papier K, Weiderpass E, Freisling H, Wareham N, Forouhi N, Christakoudi S, Vangrieken P, Jenab M, Schalkwijk C. Higher intake of dietary dicarbonyl compounds is associated with lower incidence of type 2 diabetes: European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct case-cohort study. European Journal Of Nutrition 2026, 65: 98. PMID: 41843191, PMCID: PMC12996025, DOI: 10.1007/s00394-026-03904-0.Peer-Reviewed Original ResearchType 2 diabetesType 2 diabetes riskAssociated with lower incidenceEuropean Prospective InvestigationProspective InvestigationHigher intakeLow incidenceIncident type 2 diabetes casesType 2 diabetes incidenceMultivariable-adjusted hazard ratiosType 2 diabetes casesCox regression analysisCase-cohort studyAdvanced glycation end productsDietary questionnaireGlycation end productsDicarbonyl methylglyoxalPrecursor of advanced glycation end productsHazard ratioLow riskInsulin resistanceSub-cohortIntakeCancerIncidenceAssociations between dietary exposure to dioxins and polychlorinated biphenyls (PCBs) and Longitudinal changes in weight and waist circumference– an EPIC study
Ren X, Nicolas G, Schulze M, Simeon V, Chirlaque López M, Padroni L, Abilleira E, Agudo A, Grioni S, Mellemkjær L, Andersen J, Le Cornet C, Katzke V, Delfrade J, Dahm C, Christensen A, Weiderpass E, Sánchez M, Masala G, Artaud F, Frénoy P, Marques C, Berden J, Severi G, Huybrechts I, Mancini F. Associations between dietary exposure to dioxins and polychlorinated biphenyls (PCBs) and Longitudinal changes in weight and waist circumference– an EPIC study. Clinical Nutrition 2026, 60: 106619. PMID: 41880672, DOI: 10.1016/j.clnu.2026.106619.Peer-Reviewed Original ResearchIntake of dioxinsPolychlorinated biphenylsExposure to dioxinsWaist circumferenceDL-PCBsNDL-PCBsDietary intakeInverse associationMultilevel mixed linear regression modelsDioxin-like polychlorinated biphenylsDietary intake of dioxinsWaist circumference dataExposure to polychlorinated biphenylsCountry-specific dietary questionnairesWaist circumference changeNDL PCBsRisk of obesityMixed linear regression modelsEffects of dioxinsYears of follow-upAssociated with weight gainNon-dioxinContaminant concentrationsFollow-upChronic conditionsEuropean Code Against Cancer, 5th edition – a tool for enhancing cancer prevention
Schüz J, Espina C, Weiderpass E, Nagy P. European Code Against Cancer, 5th edition – a tool for enhancing cancer prevention. Molecular Oncology 2026, 20: 3-5. PMID: 41542808, PMCID: PMC12809472, DOI: 10.1002/1878-0261.70190.Peer-Reviewed Original ResearchConceptsEuropean Code against CancerCancer preventionCancer riskEvidence-based public health recommendationsModify cancer riskPublic health recommendationsLung cancer screeningCancer screeningHealth recommendationsCancer-related infectionsDisease strategiesSupportive environmentMedical interventionsMedical oncology communityEffective medical interventionsOncology communityPreventive measuresPreventionWorking GroupPractical toolRecommendationsEffective implementationAir pollutionCancerRiskBreast cancer survivor’s sexual health unmet supportive care needs: a mixed-methods study
Ferreira D, Quinta-Gomes A, Pieramico S, Weiderpass E, Santana R, Andersson G, Mendes-Santos, C. Breast cancer survivor’s sexual health unmet supportive care needs: a mixed-methods study. Journal Of Cancer Survivorship 2026, 1-15. PMID: 41526763, DOI: 10.1007/s11764-025-01926-x.Peer-Reviewed Original ResearchBreast cancer survivorsSexual health needsUnmet sexual health needsQuality of lifeHealth needsFemale Sexual Function IndexMethodsA mixed-methods designOverall quality of lifeMixed-methods designEmotional Well-BeingSexuality-related informationQuality-of-life assessmentSemi-structured interviewsOverall qualityCancer survivorsPartner involvementOncology settingPoorer sexual functionResultsQuantitative findingsBody image concernsBiomedical outcomesEffective interventionsOncology servicesSexual functionPrevalent symptomsA proteomics approach to identify predictive blood biomarkers for pleural mesothelioma in prospective cohorts
Herman E, Allione A, Viberti C, Manfredi M, Russo A, Sana-Hafeez K, Kaiser N, Johnen G, Brüning T, Mirabelli D, Dianzani I, Agudo A, Weiderpass E, Simeon V, Kaaks R, Turzanski-Fortner R, Tumino R, Milani L, Gálvez-Navas J, Schulze M, Schiborn C, Castro N, Masala G, Guevara M, Vineis P, Casalone E, Matullo G. A proteomics approach to identify predictive blood biomarkers for pleural mesothelioma in prospective cohorts. Clinical And Experimental Medicine 2026, 26: 161. PMID: 41714836, PMCID: PMC12932387, DOI: 10.1007/s10238-026-02058-x.Peer-Reviewed Original ResearchBeta 2-microglobulinPre-diagnostic plasma samplesSurveillance of at-risk individualsPre-diagnostic serumYear of diagnosisHigh-risk populationFive-marker panelAsbestos-exposed controlsPredictive blood biomarkersBlood-based biomarkersComplement C4AEPIC cohortPleural mesotheliomaAsymptomatic latencyProspective cohortTreatment optionsClinical surveillanceAt-risk individualsELISA validationBiomarker panelSymptom onsetMatched ControlsBlood biomarkersPlasma samplesCohort
2025
Integrating polygenic and methylation risk scores for pleural mesothelioma risk stratification
Hafeez K, Debernardi C, Allione A, Herman E, Guarrera S, Ferrante D, Aspesi A, Sculco M, La Vecchia M, Sacerdote C, Grosso F, Lill C, Masala G, Guevara M, Schulze M, Panico S, Asgari Y, Park S, Tagliabue G, Tjønneland A, Agudo A, Weiderpass E, Magnani C, Dianzani I, Vineis P, Casalone E, Matullo G. Integrating polygenic and methylation risk scores for pleural mesothelioma risk stratification. International Journal Of Cancer 2025 PMID: 41472358, DOI: 10.1002/ijc.70316.Peer-Reviewed Original ResearchPolygenic risk scoresMethylation risk scoreCase-control studyUK BiobankRisk scorePolygenic risk score performanceRetrospective case-control studyEuropean Prospective InvestigationGenome-wide association analysisEPIC cohortDifferentially methylated CpGsProspective InvestigationDisease riskLow exposure groupMeta-PrismRisk stratificationMeta-analysisAssociation analysisMulti-omic biomarkersModel discriminationPM riskScoresExternal validationEarly detectionAsbestos exposureDietary nitrosyl-heme from processed meats and its association with colorectal cancer risk: findings from the EPIC cohort study
Rizzolo-Brime L, Lujan-Barroso L, Farran-Codina A, Bou R, Nicolas G, Huybrechts I, Lasheras C, Montes E, Colorado-Yohar S, Gasque A, Dahm C, Bock N, Olsen A, Tjønneland A, Katzke V, le Cornet C, Schulze M, Saieva C, Sieri S, De Magistris M, Tumino R, Macciotta A, Wareham N, Weiderpass E, Chatziioannou C, Vineis P, Jakszyn P. Dietary nitrosyl-heme from processed meats and its association with colorectal cancer risk: findings from the EPIC cohort study. Nutrition Journal 2025, 25: 14. PMID: 41422247, PMCID: PMC12831344, DOI: 10.1186/s12937-025-01266-7.Peer-Reviewed Original ResearchConceptsColorectal cancer riskColorectal cancerAssociated with colorectal cancer riskEPIC cohort studyIncident CRC casesCountry-specific itemsEuropean Prospective InvestigationCox proportional hazards modelsBaseline questionnaireCRC casesProportional hazards modelLifestyle factorsCancer riskDietary dataEPIC studyProspective InvestigationProcessed meatCohort studyMedian Follow-UpMethodsThis prospective studyHazards modelConfidence intervals(CIsRisk factorsSubgroup analysisEffects of PMDeveloping evidence‐based, cost‐effective P4 cancer medicine for driving innovation in prevention, therapeutics, patient care and reducing healthcare inequalities
Ringborg U, von Braun J, Celis J, Berns A, Baumann M, Albreht T, Abou‐Zeid N, Bagnato V, Brandts C, Chen C, di Pietro M, Dosanjh M, Dubois T, Eggermont A, Eggert A, Ernberg I, Faithfull S, Förner J, Fröhling S, Heitor M, Hood L, Jiang W, Jönsson B, Kannan R, Leptin M, Li S, Lindgren P, Lowy D, Ma J, Markham A, Nagy P, Oberst S, Parker M, Rodin D, Ryan K, Schüz J, Sullivan R, Tabernero J, Turkson P, Várhelyi O, Varmus H, Wang C, Weiderpass E, Wilking N. Developing evidence‐based, cost‐effective P4 cancer medicine for driving innovation in prevention, therapeutics, patient care and reducing healthcare inequalities. Molecular Oncology 2025, 20: 191-221. PMID: 41397948, PMCID: PMC12936432, DOI: 10.1002/1878-0261.70179.Peer-Reviewed Original ResearchConceptsComprehensive cancer centreEurope's Beating Cancer PlanHealth-related qualityCancer problemWell-being of cancer patientsHealth-related quality of lifeApproaches to cancer preventionWell-being of patientsCancer research agendaWell-beingDirect healthcare costsHealth economics researchRates of cancerMiddle-income countriesQuality of lifeEvidence-based treatmentsCancer PlanHealthcare inequalitiesCancer burdenCancer medicineHRQoL researchCancer MoonshotHealth-relatedPrevention programmesPatient careThe Association Between Race/Ethnicity and Risk of Type 2 Diabetes in Women Varies by BMI: A Pooled Analysis of Individual Data From 15 Cohort Studies
Nagai K, Chung H, Hayashi K, Dobson A, Ideno Y, Sandin S, van der Schouw Y, Hardy R, Anderson D, Demakakos P, Brunner E, Mitchell E, Woods N, Eastwood S, Khoudary S, Hedderson M, Weiderpass E, Mishra G. The Association Between Race/Ethnicity and Risk of Type 2 Diabetes in Women Varies by BMI: A Pooled Analysis of Individual Data From 15 Cohort Studies. Diabetes Care 2025, 49: 247-256. PMID: 41330055, PMCID: PMC12824813, DOI: 10.2337/dc25-1478.Peer-Reviewed Original ResearchConceptsRisk of type 2 diabetesRacial/ethnic groupsType 2 diabetesJoint associationsAsian womenDiabetes riskWhite womenCohort studyHazard ratioElevated riskDiabetes prevention strategiesType 2 diabetes riskAssociation of race/ethnicityElevated risk of type 2 diabetesHigher diabetes riskJoint effect analysisPooled analysisCox proportional hazards modelsIndividual-level dataBMI categoriesProportional hazards modelObesity ratesRace/ethnicityPrevention strategiesBlack womenThe 3V score and joint associations of low ultra-processed food, biodiverse and plant-based diets on colorectal cancer risk: results from the European Prospective Investigation into Cancer and Nutrition (EPIC) study
Cakmak E, Al Nahas A, Chimera B, Hanley-Cook G, Berden J, Fardet A, Rock E, Biessy C, Nicolas G, Kliemann N, Rauber F, Levy R, Mangone L, Touvier M, Srour B, Kesse-Guyot E, Lachat C, Skeie G, Weiderpass E, Jannasch F, Dahm C, Ibsen D, Dahl C, Kyrø C, Hajji-Louati M, Marques C, Severi G, Katzke V, Kaaks R, Schulze M, Caini S, Sieri S, De Magistris M, Tumino R, Sacerdote C, Zamora-Ros R, Sánchez M, Jimenez-Zabala A, Gómez J, Guevara M, Riboli E, Gunter M, Huybrechts I, Vineis P, Robinson O. The 3V score and joint associations of low ultra-processed food, biodiverse and plant-based diets on colorectal cancer risk: results from the European Prospective Investigation into Cancer and Nutrition (EPIC) study. EClinicalMedicine 2025, 90: 103662. PMID: 41438976, PMCID: PMC12719066, DOI: 10.1016/j.eclinm.2025.103662.Peer-Reviewed Original ResearchUltra-processed foodsColorectal cancer riskRisk of colorectal cancerEuropean Prospective InvestigationAssociated with lower riskCancer riskJoint associationsAssociated with colon cancer riskLower risk of colorectal cancerUltra-processed food intakeProspective InvestigationMultivariable-adjusted Cox regression modelsColorectal cancer ratesDistal colon cancerProspective European Prospective InvestigationCancer and NutritionColorectal cancerColon cancer riskMiddle-aged participantsCancer ratesLowest quintileDiet indexEPIC cohortInverse associationDietary patterns