Endometrial cancer risk prediction including serum-based biomarkers: results from the EPIC cohort
Fortner, Renée T.; Hüsing, Anika; Kühn, Tilman; Konar, Meric; Overvad, Kim; Tjønneland, Anne; Hansen, Louise; Boutron-Ruault, Marie Christine; Severi, Gianluca; Fournier, Agnès; Boeing, Heiner; Trichopoulou, Antonia; Benetou, Vasiliki; Orfanos, Philippos; Masala, Giovanna; Agnoli, Claudia; Mattiello, Amalia; Tumino, Rosario; Sacerdote, Carlotta; Bueno-de-Mesquita, H. Bas; Peeters, Petra H M; Weiderpass, Elisabete; Gram, Inger T.; Gavrilyuk, Oxana; Quirós, J. Ramón; Maria Huerta, José; Ardanaz, Eva; Larrañaga, Nerea; Lujan-Barroso, Leila; Sánchez-Cantalejo, Emilio; Butt, Salma Tunå; Borgquist, Signe; Idahl, Annika; Lundin, Eva; Khaw, Kay Tee; Allen, Naomi E.; Rinaldi, Sabina; Dossus, Laure; Gunter, Marc; Merritt, Melissa A.; Tzoulaki, Ioanna; Riboli, Elio; Kaaks, Rudolf
(2017) International Journal of Cancer, volume 140, issue 6, pp. 1317 - 1323
(Article)
Abstract
Endometrial 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)
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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
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Keywords: adipokines, cytokines, endometrial cancer, growth factors, inflammatory markers, lipids, metabolic markers, prospective cohort, risk prediction, sex steroids, General Medicine, Oncology, Cancer Research, Journal Article, Multicenter Study
ISSN: 0020-7136
Publisher: Wiley-Liss Inc.
Note: Funding Information: RT Fortner was supported by a Marie Curie International Incoming Fellowship of the European Commission's Seventh Framework Programme (MC-IIF-623984). For information on how to submit an application for gaining access to EPIC data and/or biospecimens, please follow the instructions at http://epic.iarc.fr/access/index.php. Publisher Copyright: © 2016 UICC
(Peer reviewed)