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

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-con...

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Bibliographic Details
Main Authors: Fortner, R, Hüsing, A, Kühn, T, Konar, M, Overvad, K, Tjønneland, A, Hansen, L, Boutron-Ruault, M, Severi, G, Fournier, A, Boeing, H, Trichopoulou, A, Benetou, V, Orfanos, P, Masala, G, Agnoli, C, Mattiello, A, Tumino, R, Sacerdote, C, Bueno-de-Mesquita, H, Peeters, P, Weiderpass, E, Gram, I, Gavrilyuk, O, Quirós, J, Huerta, J, Ardanaz, E, Larrañaga, N, Lujan-Barroso, L, Sánchez-Cantalejo, E, Butt, S, Borgquist, S, Idahl, A, Lundin, E, Khaw, K, Allen, N, Rinaldi, S, Dossus, L, Gunter, M, Merritt, M, Tzoulaki, I, Riboli, E, Kaaks, R
Format: Journal article
Language:English
Published: Wiley 2016