TY  - JOUR
AU  - Hüsing, Anika
AU  - Fortner, Renée T
AU  - Kühn, Tilman
AU  - Overvad, Kim
AU  - Tjønneland, Anne
AU  - Olsen, Anja
AU  - Boutron-Ruault, Marie-Christine
AU  - Severi, Gianluca
AU  - Fournier, Agnes
AU  - Boeing, Heiner
AU  - Trichopoulou, Antonia
AU  - Benetou, Vassiliki
AU  - Orfanos, Philippos
AU  - Masala, Giovanna
AU  - Pala, Valeria
AU  - Tumino, Rosario
AU  - Fasanelli, Francesca
AU  - Panico, Salvatore
AU  - Bueno de Mesquita, H Bas
AU  - Peeters, Petra H
AU  - van Gills, Carla H
AU  - Quirós, J Ramón
AU  - Agudo, Antonio
AU  - Sanchez-Perez, Maria-Jose
AU  - Chirlaque, Maria-Dolores
AU  - Barricarte, Aurelio
AU  - Amiano, Pilar
AU  - Khaw, Kay-Tee
AU  - Travis, Ruth C
AU  - Dossus, Laure
AU  - Li, Kuanrong
AU  - Ferrari, Pietro
AU  - Merritt, Melissa A
AU  - Tzoulaki, Ioanna
AU  - Riboli, Elio
AU  - Kaaks, Rudolf
PY  - 2017
DO  - 10.1158/1078-0432.CCR-16-3011
UR  - http://hdl.handle.net/10668/10916
T2  - Clinical cancer research : an official journal of the American Association for Cancer Research
AB  - Purpose: Circulating hormone concentrations are associated with breast cancer risk, with well-established associations for postmenopausal women. Biomarkers may represent minimally invasive measures to improve risk prediction models.Experimental...
LA  - en
KW  - Aged
KW  - Biomarkers, Tumor
KW  - Breast Neoplasms
KW  - Case-Control Studies
KW  - Estradiol
KW  - Female
KW  - Gonadal Steroid Hormones
KW  - Humans
KW  - Insulin-Like Growth Factor Binding Protein 3
KW  - Insulin-Like Growth Factor I
KW  - Middle Aged
KW  - Postmenopause
KW  - Premenopause
KW  - Prognosis
KW  - Prolactin
KW  - Risk Factors
KW  - Sex Hormone-Binding Globulin
KW  - Testosterone
TI  - Added Value of Serum Hormone Measurements in Risk Prediction Models for Breast Cancer for Women Not Using Exogenous Hormones: Results from the EPIC Cohort.
TY  - research article
VL  - 23
ER  -