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

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dc.contributor.authorFortner, Renée T
dc.contributor.authorHüsing, Anika
dc.contributor.authorKühn, Tilman
dc.contributor.authorKonar, Meric
dc.contributor.authorOvervad, Kim
dc.contributor.authorTjønneland, Anne
dc.contributor.authorHansen, Louise
dc.contributor.authorBoutron-Ruault, Marie-Christine
dc.contributor.authorSeveri, Gianluca
dc.contributor.authorFournier, Agnès
dc.contributor.authorBoeing, Heiner
dc.contributor.authorTrichopoulou, Antonia
dc.contributor.authorBenetou, Vasiliki
dc.contributor.authorOrfanos, Philippos
dc.contributor.authorMasala, Giovanna
dc.contributor.authorAgnoli, Claudia
dc.contributor.authorMattiello, Amalia
dc.contributor.authorTumino, Rosario
dc.contributor.authorSacerdote, Carlotta
dc.contributor.authorBueno-de-Mesquita, H B As
dc.contributor.authorPeeters, Petra H M
dc.contributor.authorWeiderpass, Elisabete
dc.contributor.authorGram, Inger T
dc.contributor.authorGavrilyuk, Oxana
dc.contributor.authorQuirós, J Ramón
dc.contributor.authorMaria Huerta, José
dc.contributor.authorArdanaz, Eva
dc.contributor.authorLarrañaga, Nerea
dc.contributor.authorLujan-Barroso, Leila
dc.contributor.authorSánchez-Cantalejo, Emilio
dc.contributor.authorButt, Salma Tunå
dc.contributor.authorBorgquist, Signe
dc.contributor.authorIdahl, Annika
dc.contributor.authorLundin, Eva
dc.contributor.authorKhaw, Kay-Tee
dc.contributor.authorAllen, Naomi E
dc.contributor.authorRinaldi, Sabina
dc.contributor.authorDossus, Laure
dc.contributor.authorGunter, Marc
dc.contributor.authorMerritt, Melissa A
dc.contributor.authorTzoulaki, Ioanna
dc.contributor.authorRiboli, Elio
dc.contributor.authorKaaks, Rudolf
dc.date.accessioned2023-01-25T09:42:34Z
dc.date.available2023-01-25T09:42:34Z
dc.date.issued2017
dc.description.abstractEndometrial 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 
dc.identifier.doi10.1002/ijc.30560
dc.identifier.essn1097-0215
dc.identifier.pmid27935083
dc.identifier.unpaywallURLhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ijc.30560
dc.identifier.urihttp://hdl.handle.net/10668/10666
dc.issue.number6
dc.journal.titleInternational journal of cancer
dc.journal.titleabbreviationInt J Cancer
dc.language.isoen
dc.organizationEscuela Andaluza de Salud Pública-EASP
dc.page.number1317-1323
dc.pubmedtypeJournal Article
dc.pubmedtypeMulticenter Study
dc.pubmedtypeResearch Support, Non-U.S. Gov't
dc.rights.accessRightsopen access
dc.subjectadipokines
dc.subjectcytokines
dc.subjectendometrial cancer
dc.subjectgrowth factors
dc.subjectinflammatory markers
dc.subjectlipids
dc.subjectmetabolic markers
dc.subjectprospective cohort
dc.subjectrisk prediction
dc.subjectsex steroids
dc.subject.meshAdult
dc.subject.meshAged
dc.subject.meshBiomarkers, Tumor
dc.subject.meshBlood Glucose
dc.subject.meshBlood Proteins
dc.subject.meshCase-Control Studies
dc.subject.meshComorbidity
dc.subject.meshCytokines
dc.subject.meshEndometrial Neoplasms
dc.subject.meshEurope
dc.subject.meshFemale
dc.subject.meshFollow-Up Studies
dc.subject.meshHormones
dc.subject.meshHumans
dc.subject.meshIncidence
dc.subject.meshInflammation
dc.subject.meshLipids
dc.subject.meshMetabolic Syndrome
dc.subject.meshMiddle Aged
dc.subject.meshRisk
dc.subject.meshRisk Assessment
dc.subject.meshSingle-Blind Method
dc.subject.meshSurveys and Questionnaires
dc.titleEndometrial cancer risk prediction including serum-based biomarkers: results from the EPIC cohort.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number140
dspace.entity.typePublication

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