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

Publication date

2017-03-15

Authors

Fortner, Renée T.
Hüsing, Anika
Kühn, Tilman
Konar, Meric
Overvad, Kim
Tjønneland, Anne
Hansen, Louise
Boutron-Ruault, Marie Christine
Severi, Gianluca
Fournier, Agnès

Editors

Advisors

Supervisors

Document Type

Article

Collections

Open Access logo

License

taverne

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) 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 

Keywords

adipokines, cytokines, endometrial cancer, growth factors, inflammatory markers, lipids, metabolic markers, prospective cohort, risk prediction, sex steroids, Taverne, General Medicine, Oncology, Cancer Research, Journal Article, Multicenter Study

Citation

Fortner, R T, Hüsing, A, Kühn, T, Konar, M, Overvad, K, Tjønneland, A, Hansen, L, Boutron-Ruault, M C, 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 B, Peeters, P H M, Weiderpass, E, Gram, I T, Gavrilyuk, O, Quirós, J R, Maria Huerta, J, Ardanaz, E, Larrañaga, N, Lujan-Barroso, L, Sánchez-Cantalejo, E, Butt, S T, Borgquist, S, Idahl, A, Lundin, E, Khaw, K T, Allen, N E, Rinaldi, S, Dossus, L, Gunter, M, Merritt, M A, Tzoulaki, I, Riboli, E & Kaaks, R 2017, 'Endometrial cancer risk prediction including serum-based biomarkers : results from the EPIC cohort', International Journal of Cancer, vol. 140, no. 6, pp. 1317-1323. https://doi.org/10.1002/ijc.30560