gms | German Medical Science

MAINZ//2011: 56. GMDS-Jahrestagung und 6. DGEpi-Jahrestagung

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V.
Deutsche Gesellschaft für Epidemiologie e. V.

26. - 29.09.2011 in Mainz

Metabolic syndrome and cervical cancer in the Metabolic Syndrome and Cancer Project (Me-Can)

Meeting Abstract

  • Gabriele Nagel - Universität Ulm, Ulm
  • Tone Bjorge - University of Bergen, Bergen
  • Hans Concin - Agency for Preventive and Social Medicine, Bregenz
  • Annekatrin Lukanova - dkfz, Heidelberg
  • Andrea Kleiner - Universität Ulm, Ulm
  • Jonas Manjer - University Hospital Malmö, Malmö
  • Göran Hallmans - Umeå University, Umeå
  • Håkan Jonsson - Umeå University, Umeå
  • Pär Stattin - Umeå University, Umeå
  • Tanja Stocks - Umeå University, Umeå
  • Hanno Ulmer - Innsbruck Medical University, Innsbruck

Mainz//2011. 56. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (gmds), 6. Jahrestagung der Deutschen Gesellschaft für Epidemiologie (DGEpi). Mainz, 26.-29.09.2011. Düsseldorf: German Medical Science GMS Publishing House; 2011. Doc11gmds195

doi: 10.3205/11gmds195, urn:nbn:de:0183-11gmds1952

Published: September 20, 2011

© 2011 Nagel et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( You are free: to Share – to copy, distribute and transmit the work, provided the original author and source are credited.



Background: Little is known about the association between the metabolic syndrome (MetS) and cervical cancer carcinogenesis.

Methods: The Me-Can cohort includes 288,834 women. During an average follow-up of 11 years 425 invasive cervical cancer cases were diagnosed. Hazard ratios (HRs) were estimated by use of Cox proportional hazards regression models for quintiles and standardized z-scores (with a mean of 0 and a SD of 1) of body mass index, blood pressure, glucose, cholesterol, triglycerides and a MetS score. Risk estimates were corrected for random error in the measurements.

Results: The MetS score was associated with increased risk of cervical cancer per 1SD increase (HR, 1.26; 95% CI, 1.08-1.47). Among individual metabolic factors, associations were observed for BMI (per 1 SD increase, 1.12; 1.01-1.25), blood pressure (1.25; 1.04-1.49), and triglycerides (1.39; 1.15-1.68). In models including all metabolic factors simultaneously, the associations for blood pressure and triglycerides persisted. Stratification by morphology showed stronger association of triglycerides with squamous cell carcinoma (SCC) (1.42; 95% CI1.09-1.84) than with adenocarcinoma (ADC) (0.97, 0.53-1.75). Among older women cholesterol (50-70 years HR, 1.34; 95% CI, 1.00-1.81), triglycerides (50-70 years HR 1.49, 95% CI 1.03-2.16 and ≥ 70 years HR 1.53, 95% CI 1.08-2.17) and glucose (≥ 70 years HR 1.87, 95% CI 1.12-3.12) concentrations were associated with cervical cancer.

Conclusions: The results of this large prospective study provide evidence for an association between cervical cancer and the MetS as well as the individual MetS factors including BMI, blood glucose and triglyceride levels.