dc.contributor.author | Kliemann, Nathalie | |
dc.contributor.author | Ammar, Romain Ould | |
dc.contributor.author | Biessy, Carine | |
dc.contributor.author | Gicquiau, Audrey | |
dc.contributor.author | Katzke, Verena | |
dc.contributor.author | Kaaks, Rudolf | |
dc.contributor.author | Tjønneland, Anne | |
dc.contributor.author | Olsen, Anja | |
dc.contributor.author | Sánchez, Maria-Jose | |
dc.contributor.author | Crous-Bou, Marta | |
dc.contributor.author | Pasanisi, Fabrizio | |
dc.contributor.author | Tin, Sandar Tin | |
dc.contributor.author | Perez-Cornago, Aurora | |
dc.contributor.author | Aune, Dagfinn | |
dc.contributor.author | Christakoudi, Sofia | |
dc.contributor.author | Heath, Alicia K. | |
dc.contributor.author | Colorado-Yohar, Sandra M. | |
dc.contributor.author | Grioni, Sara | |
dc.contributor.author | Skeie, Guri | |
dc.contributor.author | Sartor, Hanna | |
dc.contributor.author | Idahl, Annika | |
dc.contributor.author | Rylander, Charlotta | |
dc.contributor.author | May, Anne M. | |
dc.contributor.author | Weiderpass, Elisabete | |
dc.contributor.author | Freisling, Heinz | |
dc.contributor.author | Playdon, Mary C. | |
dc.contributor.author | Rinaldi, Sabina | |
dc.contributor.author | Murphy, Neil | |
dc.contributor.author | Huybrechts, Inge | |
dc.contributor.author | Dossus, Laure | |
dc.contributor.author | Gunter, Marc J. | |
dc.date.accessioned | 2022-11-24T08:58:33Z | |
dc.date.available | 2022-11-24T08:58:33Z | |
dc.date.issued | 2022-07-01 | |
dc.description.abstract | Background: Obesity is a risk factor for endometrial cancer but
whether metabolic dysfunction is associated with endometrial
cancer independent of body size is not known.<p>
<p>Methods: The association of metabolically defined body size
phenotypes with endometrial cancer risk was investigated in a
nested case–control study (817 cases/ 817 controls) within the
European Prospective Investigation into Cancer and Nutrition
(EPIC). Concentrations of C-peptide were used to define metabolically healthy (MH; <1st tertile) and metabolically unhealthy (MU; ≥1st tertile) status among the control participants.
These metabolic health definitions were combined with normal
weight (NW); body mass index (BMI)<25 kg/m<sup>2</sup> or waist
circumference (WC)<80 cm or waist-to-hip ratio (WHR)<0.8)
and overweight (OW; BMI≥25 kg/m<sup>2</sup> or WC≥80 cm or
WHR≥0.8) status, generating four phenotype groups for each
anthropometric measure: (i) MH/NW, (ii) MH/OW, (iii) MU/
NW, and (iv) MU/OW.<p>
<p>Results: In a multivariable-adjusted conditional logistic regression
model, compared with MH/NW individuals, endometrial cancer risk
was higher among those classified as MU/NW [OR<sub>WC</sub>, 1.48; 95%
confidence interval (CI), 1.05–2.10 and OR<sub>WHR</sub>, 1.68; 95% CI, 1.21–
2.35] and MU/OW (OR<sub>BMI</sub>, 2.38; 95% CI, 1.73–3.27; OR<sub>WC</sub>, 2.69;
95% CI, 1.92–3.77 and OR<sub>WHR</sub>, 1.83; 95% CI, 1.32–2.54). MH/OW
individuals were also at increased endometrial cancer risk compared
with MH/NW individuals (OR<sub>WC</sub>, 1.94; 95% CI, 1.24–3.04).
<p>Conclusions: Women with metabolic dysfunction appear to
have higher risk of endometrial cancer regardless of their body
size. However, OW status raises endometrial cancer risk even
among women with lower insulin levels, suggesting that obesityrelated pathways are relevant for the development of this cancer
beyond insulin.
Impact:Classifying women by metabolic health may be of greater
utility in identifying those at higher risk for endometrial cancer than
anthropometry per se. | en_US |
dc.identifier.citation | Kliemann, Ammar, Biessy, Gicquiau, Katzke, Kaaks, Tjønneland, Olsen, Sánchez, Crous-Bou, Pasanisi, Tin, Perez-Cornago, Aune, Christakoudi, Heath, Colorado-Yohar, Grioni, Skeie, Sartor, Idahl, Rylander, May, Weiderpass, Freisling, Playdon, Rinaldi, Murphy, Huybrechts, Dossus, Gunter. Metabolically Defined Body Size Phenotypes and Risk of Endometrial Cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC). Cancer Epidemiology, Biomarkers and Prevention. 2022;31(7):1359-1367 | en_US |
dc.identifier.cristinID | FRIDAID 2053192 | |
dc.identifier.doi | 10.1158/1055-9965.EPI-22-0160 | |
dc.identifier.issn | 1055-9965 | |
dc.identifier.issn | 1538-7755 | |
dc.identifier.uri | https://hdl.handle.net/10037/27509 | |
dc.language.iso | eng | en_US |
dc.publisher | American Association for Cancer Research | en_US |
dc.relation.journal | Cancer Epidemiology, Biomarkers and Prevention | |
dc.rights.accessRights | openAccess | en_US |
dc.rights.holder | Copyright 2022 The Author(s) | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0 | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) | en_US |
dc.title | Metabolically Defined Body Size Phenotypes and Risk of Endometrial Cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) | en_US |
dc.type.version | publishedVersion | en_US |
dc.type | Journal article | en_US |
dc.type | Tidsskriftartikkel | en_US |
dc.type | Peer reviewed | en_US |