BACKGROUND: In 2007 the World Cancer Research Fund Report concluded that there was limited and inconsistent evidence for an effect of coffee and tea consumption on the risk of epithelial ovarian cancer (EOC). OBJECTIVE: In the European Prospective Investigation into Cancer and Nutrition (EPIC), we aimed to investigate whether coffee intakes, tea intakes, or both are associated with the risk of EOC. DESIGN: All women participating in the EPIC (n = 330,849) were included in this study. Data on coffee and tea consumption were collected through validated food-frequency questionnaires at baseline. HRs and 95% CIs were estimated by using Cox proportional hazards models. Furthermore, we performed an updated meta-analysis of all previous prospective studies until April 2011 by comparing the highest and lowest coffee- and tea-consumption categories as well as by using dose-response random-effects meta-regression analyses. RESULTS: During a median follow-up of 11.7 y, 1244 women developed EOC. No association was observed between the risk of EOC and coffee consumption [HR: 1.05 (95% CI: 0.75, 1.46) for the top quintile compared with no intake] or tea consumption [HR: 1.07 (95% CI: 0.78, 1.45) for the top quintile compared with no intake]. This lack of association between coffee and tea intake and EOC risk was confirmed by the results of our meta-analysis. CONCLUSION: Epidemiologic studies do not provide sufficient evidence to support an association between coffee and tea consumption and risk of ovarian cancer.
BACKGROUND: In 2007 the World Cancer Research Fund Report concluded that there was limited and inconsistent evidence for an effect of coffee and tea consumption on the risk of epithelial ovarian cancer (EOC). OBJECTIVE: In the European Prospective Investigation into Cancer and Nutrition (EPIC), we aimed to investigate whether coffee intakes, tea intakes, or both are associated with the risk of EOC. DESIGN: All women participating in the EPIC (n = 330,849) were included in this study. Data on coffee and tea consumption were collected through validated food-frequency questionnaires at baseline. HRs and 95% CIs were estimated by using Cox proportional hazards models. Furthermore, we performed an updated meta-analysis of all previous prospective studies until April 2011 by comparing the highest and lowest coffee- and tea-consumption categories as well as by using dose-response random-effects meta-regression analyses. RESULTS: During a median follow-up of 11.7 y, 1244 women developed EOC. No association was observed between the risk of EOC and coffee consumption [HR: 1.05 (95% CI: 0.75, 1.46) for the top quintile compared with no intake] or tea consumption [HR: 1.07 (95% CI: 0.78, 1.45) for the top quintile compared with no intake]. This lack of association between coffee and tea intake and EOC risk was confirmed by the results of our meta-analysis. CONCLUSION: Epidemiologic studies do not provide sufficient evidence to support an association between coffee and tea consumption and risk of ovarian cancer.
Authors: Tracy E Crane; Beman R Khulpateea; David S Alberts; Karen Basen-Engquist; Cynthia A Thomson Journal: Cancer Epidemiol Biomarkers Prev Date: 2013-10-18 Impact factor: 4.254
Authors: Marc J Gunter; Neil Murphy; Amanda J Cross; Laure Dossus; Laureen Dartois; Guy Fagherazzi; Rudolf Kaaks; Tilman Kühn; Heiner Boeing; Krasimira Aleksandrova; Anne Tjønneland; Anja Olsen; Kim Overvad; Sofus Christian Larsen; Maria Luisa Redondo Cornejo; Antonio Agudo; María José Sánchez Pérez; Jone M Altzibar; Carmen Navarro; Eva Ardanaz; Kay-Tee Khaw; Adam Butterworth; Kathryn E Bradbury; Antonia Trichopoulou; Pagona Lagiou; Dimitrios Trichopoulos; Domenico Palli; Sara Grioni; Paolo Vineis; Salvatore Panico; Rosario Tumino; Bas Bueno-de-Mesquita; Peter Siersema; Max Leenders; Joline W J Beulens; Cuno U Uiterwaal; Peter Wallström; Lena Maria Nilsson; Rikard Landberg; Elisabete Weiderpass; Guri Skeie; Tonje Braaten; Paul Brennan; Idlir Licaj; David C Muller; Rashmi Sinha; Nick Wareham; Elio Riboli Journal: Ann Intern Med Date: 2017-07-11 Impact factor: 25.391
Authors: Jue-Sheng Ong; Liang-Dar Hwang; Gabriel Cuellar-Partida; Nicholas G Martin; Georgia Chenevix-Trench; Michael C J Quinn; Marilyn C Cornelis; Puya Gharahkhani; Penelope M Webb; Stuart MacGregor Journal: Int J Epidemiol Date: 2018-04-01 Impact factor: 9.685