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Correlates of circulating ovarian cancer early detection markers and their contribution to discrimination of early detection models: results from the EPIC cohort

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dc.contributor.author Fortner, Renee-T
dc.contributor.author Vitonis, Allison-F
dc.contributor.author Schock, Helena
dc.contributor.author Huesing, Anika
dc.contributor.author Johnson, Theron
dc.contributor.author Fichorova, Raina-N
dc.contributor.author Fashemi, Titilayo
dc.contributor.author Yamamoto, Hidemi-S
dc.contributor.author Tjonneland, Anne
dc.contributor.author Hansen, Louise
dc.contributor.author Overvad, Kim
dc.contributor.author Boutron-Ruault, Marie-Christine
dc.contributor.author Kvaskoff, Marina
dc.contributor.author Severi, Gianluca
dc.contributor.author Boeing, Heiner
dc.contributor.author Trichopoulou, Antonia
dc.contributor.author Benetou, Vassiliki
dc.contributor.author La-Vecchia, Carlo
dc.contributor.author Palli, Domenico
dc.contributor.author Sieri, Sabina
dc.contributor.author Tumino, Rosario
dc.contributor.author Matullo, Giuseppe
dc.contributor.author Mattiello, Amalia
dc.contributor.author Onland-Moret, N-Charlotte
dc.contributor.author Peeters, Petra-H
dc.contributor.author Weiderpass, Elisabete
dc.contributor.author Gram, Inger-Torhild
dc.contributor.author Jareid, Mie
dc.contributor.author Quirós, José-Ramón
dc.contributor.author Duell, Eric-J
dc.contributor.author Sánchez, María-José
dc.contributor.author Chirlaque-López, María-Dolores
dc.contributor.author Ardanaz, Eva
dc.contributor.author Larrañaga, Nerea
dc.contributor.author Nodin, Bjorn
dc.contributor.author Brandstedt, Jenny
dc.contributor.author Idahl, Annika
dc.contributor.author Khaw, Kay-Tee
dc.contributor.author Allen, Naomi
dc.contributor.author Gunter, Marc
dc.contributor.author Johansson, Mattias
dc.contributor.author Dossus, Laure
dc.contributor.author Merritt, Melissa-A
dc.contributor.author Riboli, Elio
dc.contributor.author Cramer, Daniel-W
dc.contributor.author Kaaks, Rudolf
dc.contributor.author Terry, Kathryn-L
dc.date.accessioned 2026-01-19T16:03:27Z
dc.date.available 2026-01-19T16:03:27Z
dc.date.issued 2017-03-20
dc.identifier.citation Fortner RT, Vitonis AF, Schock H, Hüsing A, Johnson T, Fichorova RN, et al. Correlates of circulating ovarian cancer early detection markers and their contribution to discrimination of early detection models: results from the EPIC cohort. J Ovarian Res. diciembre de 2017;10(1):20.
dc.identifier.uri https://sms.carm.es/ricsmur/handle/123456789/23686
dc.description.abstract BACKGROUND: Ovarian cancer early detection markers CA125, CA15.3, HE4, and CA72.4 vary between healthy women, limiting their utility for screening. METHODS: We evaluated cross-sectional relationships between lifestyle and reproductive factors and these markers among controls (n = 1910) from a nested case-control study in the European Prospective Investigation into Cancer and Nutrition (EPIC). Improvements in discrimination of prediction models adjusting for correlates of the markers were evaluated among postmenopausal women in the nested case-control study (n = 590 cases). Generalized linear models were used to calculate geometric means of CA125, CA15.3, and HE4. CA72.4 above vs. below limit of detection was evaluated using logistic regression. Early detection prediction was modeled using conditional logistic regression. RESULTS: CA125 concentrations were lower, and CA15.3 higher, in post- vs. premenopausal women (p ? 0.02). Among postmenopausal women, CA125 was higher among women with higher parity and older age at menopause (p(trend) ? 0.02), but lower among women reporting oophorectomy, hysterectomy, ever use of estrogen-only hormone therapy, or current smoking (p < 0.01). CA15.3 concentrations were higher among heavier women and in former smokers (p ? 0.03). HE4 was higher with older age at blood collection and in current smokers, and inversely associated with OC use duration, parity, and older age at menopause (? 0.02). No associations were observed with CA72.4. Adjusting for correlates of the markers in prediction models did not improve the discrimination. CONCLUSIONS: This study provides insights into sources of variation in ovarian cancer early detection markers in healthy women and informs about the utility of individualizing marker cutpoints based on epidemiologic factors.
dc.language.iso eng
dc.publisher BMC
dc.rights Atribución/Reconocimiento 4.0 Internacional
dc.rights.uri https://creativecommons.org/licenses/by/4.0/deed.es *
dc.subject.mesh Adult
dc.subject.mesh Aged
dc.subject.mesh Area Under Curve
dc.subject.mesh Biomarkers, Tumor
dc.subject.mesh Case-Control Studies
dc.subject.mesh Cohort Studies
dc.subject.mesh Cross-Sectional Studies
dc.subject.mesh Early Detection of Cancer
dc.subject.mesh Europe/epidemiology
dc.subject.mesh Female
dc.subject.mesh Humans
dc.subject.mesh Middle Aged
dc.subject.mesh Ovarian Neoplasms/blood/diagnosis/epidemiology/therapy
dc.subject.mesh Population Surveillance
dc.subject.mesh Risk Factors
dc.title Correlates of circulating ovarian cancer early detection markers and their contribution to discrimination of early detection models: results from the EPIC cohort
dc.type info:eu-repo/semantics/article
dc.identifier.pmid 28320479
dc.relation.publisherversion https://ovarianresearch.biomedcentral.com/articles/10.1186/s13048-017-0315-6
dc.type.version info:eu-repo/semantics/publishedVersion
dc.identifier.doi 10.1186/s13048-017-0315-6
dc.journal.title Journal of Ovarian Research
dc.identifier.essn 1757-2215


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