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

Renée T Fortner, 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, Claudia Agnoli, Amalia Mattiello, Rosario Tumino, Carlotta Sacerdote, H. Bas Bueno-de-MesquitaPetra H. M. Peeters, Elisabete Weiderpass, Inger T Gram, Oxana Gavrilyuk, J Ramón Quirós, José Maria Huerta, Eva Ardanaz, Nerea Larrañaga, Leila Lujan-Barroso, Emilio Sánchez-Cantalejo, Salma Tunå Butt, Signe Borgquist, Annika Idahl, Eva Lundin, Kay Tee Khaw, Naomi E Allen, Sabina Rinaldi, Laure Dossus, Marc Gunter, Melissa A Merritt, Ioanna Tzoulaki, Elio Riboli, Rudolf Kaaks

Research output: Contribution to journalArticlepeer-review

Fingerprint

Dive into the research topics of 'Endometrial cancer risk prediction including serum-based biomarkers: results from the EPIC cohort'. Together they form a unique fingerprint.

Pharmacology, Toxicology and Pharmaceutical Science

Agricultural and Biological Sciences

Mathematics

Veterinary Science and Veterinary Medicine

Food Science