Published in
Wiley, International Journal of Cancer, 6(140), p. 1317-1323, 2017
DOI: 10.1002/ijc.30560
Links
Tools
Endometrial cancer risk prediction including serum-based biomarkers: Results from the EPIC cohort
,
Anika Hüsing ,
Tilman Kühn,
Meric Konar,
Kim Overvad ,
Anne Tjønneland,
Louise Hansen,
Marie-Christine Boutron-Ruault,
Gianluca Severi,
Agnès Fournier ,
Heiner Boeing,
Antonia Trichopoulou,
Vasiliki Benetou ,
Philippos Orfanos,
Giovanna Masala
and other authors.
Full text: Download
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