Blar i forfatter Det helsevitenskapelige fakultet "Terry, Kathryn L."

Viser treff 1-3 av 3

    • Correlates of circulating ovarian cancer early detection markers and their contribution to discrimination of early detection models: results from the EPIC cohort 

      Fortner, Renée T.; Vitonis, Allison F.; Schock, Helena; Hüsing, Anika; Johnson, Theron; Fichorova, Raina Nakove; Fashemi, Titilayo; Yamamoto, Hidemi S.; Tjønneland, Anne; Hansen, Louise; Overvad, Kim; Boutron-Ruault, Marie-Christine; Kvaskoff, Marina; Severi, Gianluca; Boeing, Heiner; Trichopoulou, Antonia; Benetou, Vassiliki; La Vecchia, Carlo; Palli, Domenico; Sieri, Sabina; Tumino, Rosario; Matullo, Giuseppe; Mattiello, Amalia; Onland-Moret, N. Charlotte; Peeters, Petra H.; Weiderpass, Elisabete; Gram, Inger Torhild; Jareid, Mie; Quirós, José Ramón; Duell, Eric J.; Sánchez, Mariá-José; Chirlaque, María-Dolores; Ardanaz, Eva; Larrañaga, Nerea; Nodin, Björn; Brändstedt, Jenny; Idahl, Annika; Khaw, Kay-Tee; Allen, Naomi; Gunter, Marc; Johansson, Mattias; Dossus, Laure; Merritt, Melissa A.; Riboli, Elio; Cramer, Daniel W.; Kaaks, Rudolf; Terry, Kathryn L. (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-03-20)
      Background: Ovarian cancer early detection markers CA125, CA15.3, HE4, and CA72.4 vary between healthy women, limiting their utility for screening. <br>Methods: We evaluated cross-sectional relationships between lifestyle and reproductive factors and these markers among controls ( n = 1910) from a nested case-control study in the European Prospective Investigation into Cancer and Nutrition ...

    • Development and validation of circulating CA125 prediction models in postmenopausal women 

      Sasamoto, Naoko; Babic, Ana; Rosner, Bernard A.; Fortner, Renée T.; Vitonis, Allison F; Yamamoto, Hidemi; Fichorova, Raina N.; Titus, Linda J.; Tjønneland, Anne; Hansen, Louise; Kvaskoff, Marina; Fournier, Agnès; Mancini, Francesca Romana; Boeing, Heiner; Trichopoulou, Antonia; Peppa, Eleni; Karakatsani, Anna; Palli, Domenico; Grioni, Sara; Mattiello, Amalia; Tumino, Rosario; Fiano, Valentina; Onland-Moret, N. Charlotte; Weiderpass, Elisabete; Gram, Inger Torhild; Quirós, José Ramón; Lujan-Barroso, Leila; Sánchez, María-José; Colorado-Yohar, Sandra; Barricarte, Aurelio; Amiano, Pilar; Idahl, Annika; Lundin, Eva; Sartor, Hanna; Khaw, Kay-Tee; Key, Timothy J.; Muller, David; Riboli, Elio; Gunter, Marc; Dossus, Laure; Trabert, Britton; Wentzensen, Nicolas; Kaaks, Rudolf; Cramer, Daniel W.; Tworoger, Shelley S.; Terry, Kathryn L. (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-11-26)
      <i>Background</i> - Cancer Antigen 125 (CA125) is currently the best available ovarian cancer screening biomarker. However, CA125 has been limited by low sensitivity and specificity in part due to normal variation between individuals. Personal characteristics that influence CA125 could be used to improve its performance as screening biomarker.<p><p> <i>Methods</i> - We developed and validated ...

    • An epidemiologic risk prediction model for ovarian cancer in Europe: The EPIC study 

      Li, Kuanrong; Hüsing, Anika; Fortner, Renée Turzanski; Tjønneland, Anne; Hansen, Louise Seier; Dossus, Laure; Chang-Claude, Jenny; Bergmann, Manuela M.; Steffen, Annika; Bamia, Christina; Trichopoulos, Dimitrios; Trichopoulou, Antonia; Palli, Domenico; Mattiello, Amalia; Agnoli, Claudia; Tumino, Rosaria; Onland-Moret, N. Charlotte; Peeters, Petra H.; Bueno-de-Mesquita, H. Bas; Gram, Inger Torhild; Weiderpass, Elisabete; Sánchez-Cantalejo, Emilio; Chirlaque, María-Dolores; Duell, Eric J.; Ardanaz, Eva; Idahl, Annika; Lundin, Eva; Khaw, Kay-Tee; Travis, Ruth C.; Merritt, Melissa A.; Gunter, Marc J.; Riboli, Elio; Ferrari, Pietro; Terry, Kathryn L.; Cramer, Daniel William; Kaaks, Rudolf (Journal article; Tidsskriftartikkel; Peer reviewed, 2015-03-05)
      Background: Ovarian cancer has a high case-fatality ratio, largely due to late diagnosis. Epidemiologic risk prediction models could help identify women at increased risk who may benefit from targeted prevention measures, such as screening or chemopreventive agents.<p> <p>Methods: We built an ovarian cancer risk prediction model with epidemiologic risk factors from 202 206 women in the European ...