TY  - JOUR
AU  - Fortner, Renée T
AU  - Hüsing, Anika
AU  - Kühn, Tilman
AU  - Konar, Meric
AU  - Overvad, Kim
AU  - Tjønneland, Anne
AU  - Hansen, Louise
AU  - Boutron-Ruault, Marie-Christine
AU  - Severi, Gianluca
AU  - Fournier, Agnès
AU  - Boeing, Heiner
AU  - Trichopoulou, Antonia
AU  - Benetou, Vasiliki
AU  - Orfanos, Philippos
AU  - Masala, Giovanna
AU  - Agnoli, Claudia
AU  - Mattiello, Amalia
AU  - Tumino, Rosario
AU  - Sacerdote, Carlotta
AU  - Bueno-de-Mesquita, H B As
AU  - Peeters, Petra H M
AU  - Weiderpass, Elisabete
AU  - Gram, Inger T
AU  - Gavrilyuk, Oxana
AU  - Quirós, J Ramón
AU  - Maria Huerta, José
AU  - Ardanaz, Eva
AU  - Larrañaga, Nerea
AU  - Lujan-Barroso, Leila
AU  - Sánchez-Cantalejo, Emilio
AU  - Butt, Salma Tunå
AU  - Borgquist, Signe
AU  - Idahl, Annika
AU  - Lundin, Eva
AU  - Khaw, Kay-Tee
AU  - Allen, Naomi E
AU  - Rinaldi, Sabina
AU  - Dossus, Laure
AU  - Gunter, Marc
AU  - Merritt, Melissa A
AU  - Tzoulaki, Ioanna
AU  - Riboli, Elio
AU  - Kaaks, Rudolf
PY  - 2017
DO  - 10.1002/ijc.30560
UR  - http://hdl.handle.net/10668/10666
T2  - International journal of cancer
AB  - 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...
LA  - en
KW  - adipokines
KW  - cytokines
KW  - endometrial cancer
KW  - growth factors
KW  - inflammatory markers
KW  - lipids
KW  - metabolic markers
KW  - prospective cohort
KW  - risk prediction
KW  - sex steroids
KW  - Adult
KW  - Aged
KW  - Biomarkers, Tumor
KW  - Blood Glucose
KW  - Blood Proteins
KW  - Case-Control Studies
KW  - Comorbidity
KW  - Cytokines
KW  - Endometrial Neoplasms
KW  - Europe
KW  - Female
KW  - Follow-Up Studies
KW  - Hormones
KW  - Humans
KW  - Incidence
KW  - Inflammation
KW  - Lipids
KW  - Metabolic Syndrome
KW  - Middle Aged
KW  - Risk
KW  - Risk Assessment
KW  - Single-Blind Method
KW  - Surveys and Questionnaires
TI  - Endometrial cancer risk prediction including serum-based biomarkers: results from the EPIC cohort.
TY  - research article
VL  - 140
ER  -