• Risk prediction for estrogen receptor-specific breast cancers in two large prospective cohorts 

      Li, Kuanrong; Anderson, Garnet; Viallon, Vivian; Arveux, Patrick; Kvaskoff, Marina; Fournier, Agnès; Krogh, Vittorio; Tumino, Rosario; Sánchez, María-José; Ardanaz, Eva; Chirlaque, Maria-Dolores; Agudo, Antonio; Muller, David C.; Smith, Todd; Tzoulaki, Ioanna; Key, Timothy J.; Bueno-de-Mesquita, Hendrik Bastiaan; Trichopoulou, Antonia; Bamia, Christina; Orfanos, Philippos; Kaaks, Rudolf; Hüsing, Anika; Fortner, Renée T.; Zeleniuch-Jacquotte, Anne; Sund, Malin; Dahm, Christina C; Overvad, Kim; Aune, Dagfinn; Weiderpass, Elisabete; Romieu, Isabelle; Riboli, Elio; Gunter, Marc J.; Dossus, Laure; Prentice, Ross; Ferrari, Pietro (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-12-03)
      <p><i>Background</i>: Few published breast cancer (BC) risk prediction models consider the heterogeneity of predictor variables between estrogen-receptor positive (ER+) and negative (ER-) tumors. Using data from two large cohorts, we examined whether modeling this heterogeneity could improve prediction.</p> <p><i>Methods</i>: We built two models, for ER+ (Model<sub>ER+</sub>) and ER- tumors ...