Now showing items 21-23 of 23

    • 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 ...
    • A treelet transform analysis to relate nutrient patterns to the risk of hormonal receptor-defined breast cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) 

      Assi, Nada; Moskal, Aurelie; Slimani, Nadia; Viallon, Vivian; Chajes, Veronique; Freisling, Heinz; Monni, Stefano; Knueppel, Sven; Förster, Jana; Weiderpass, Elisabete; Lujan-Barroso, Leila; Amiano, Pilar; Ardanaz, Eva; Molina-Montes, Esther; Salmeron, Diego; Quiros, Jose Ramon; Olsen, Anja; Tjonneland, Anne; Dahm, Christina C; Overvad, Kim; Dossus, Laure; Fournier, Agnes; Baglietto, Laura; Fortner, Renee Turzanski; Kaaks, Rudolf; Trichopoulou, Antonia; Bamia, Christina; Orfanos, Philippos; de Magistris, Maria Santucci; Masala, Giovanna; Agnoli, Claudia; Ricceri, Fulvio; Tumino, Rosario; Bueno De Mesquita, H Bas; Bakker, Marije F; Peeters, Petra HM; Skeie, Guri; Braaten, Tonje; Winkvist, Anna; Johansson, Ingegerd; Khaw, Kay-Tee; Wareham, Nicholas J; Key, Tim; Travis, Ruth; Schmidt, Julie A; Merritt, Melissa A; Riboli, Elio; Romieu, Isabelle; Ferrari, Pietro (Journal article; Tidsskriftartikkel; Peer reviewed, 2015-02-23)
      Objective: Pattern analysis has emerged as a tool to depict the role of multiple nutrients/foods in relation to health outcomes. The present study aimed at extracting nutrient patterns with respect to breast cancer (BC) aetiology.<br> Design: Nutrient patterns were derived with treelet transform (TT) and related to BC risk. TT was applied to twenty-three log-transformed nutrient densities ...
    • Ultra-processed foods, adiposity and risk of head and neck cancer and oesophageal adenocarcinoma in the European Prospective Investigation into Cancer and Nutrition study: a mediation analysis 

      Morales-Berstein, Fernanda; Biessy, Carine; Viallon, Vivian; Goncalves-Soares, Ana; Casagrande, Corinne; Hémon, Bertrand; Kliemann, Nathalie; Cairat, Manon; Blanco Lopez, Jessica; Al Nahas, Aline; Chang, Kiara; Vamos, Eszter; Rauber, Fernanda; Bertazzi Levy, Renata; Barbosa Cunha, Diana; Jakszyn, Paula; Ferrari, Pietro; Vineis, Paolo; Masala, Giovanna; Catalano, Alberto; Sonestedt, Emily; Borné, Yan; Katzke, Verena; Bajracharya, Rashmita; Agnoli, Claudia; Guevara, Marcela; Heath, Alicia; Radoï, Loredana; Mancini, Francesca; Weiderpass Vainio, Elisabete; Huerta, José María; Sánchez, María-José; Tjønneland, Anne; Kyrø, Cecilie; Schulze, Matthias B.; Skeie, Guri; Lukic, Marko; Braaten, Tonje Bjørndal; Gunter, Marc; Millett, Christopher; Agudo, Antonio; Brennan, Paul; Borges, M. Carolina; Richmond, Rebecca C.; Richardson, Tom G.; Davey Smith, George; Relton, Caroline L.; Huybrechts, Inge (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-11-22)
      Purpose - To investigate the role of adiposity in the associations between ultra-processed food (UPF) consumption and head and neck cancer (HNC) and oesophageal adenocarcinoma (OAC) in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort.<p> <p>Methods - Our study included 450,111 EPIC participants. We used Cox regressions to investigate the associations between the ...