Metabolic syndrome and endometrial cancer risk

V. Rosato, A. Zucchetto, C. Bosetti, L. Dal Maso, M. Montella, C. Pelucchi, E. Negri, S. Franceschi, C. La Vecchia

Research output: Contribution to journalArticlepeer-review


Background: Various studies reported direct associations between endometrial cancer risk and individual components of the metabolic syndrome (MetS), i.e. obesity, diabetes, hypertension, and dyslipidemia, but only a few epidemiological studies considered the association with MetS overall. Methods: We analyzed data from a case-control study including 454 women with incident endometrial cancer and 798 controls admitted to the same hospitals as cases for acute conditions. Different definitions of MetS were considered, including a combination of self-reported history of diabetes, drug-treated hypertension, drug-treated hyperlipidemia, and various measures of (central) obesity. Odds ratios (ORs) were computed from unconditional logistic regression models, adjusted for major confounding factors. Results: The multivariate ORs of endometrial cancer were 2.18 for type 2 diabetes, 1.77 for hypertension, 1.20 for hyperlipidemia, between 1.62 and 2.23 for various definitions of central obesity, and 3.83 for women with a body mass index (BMI) >30 kg/m2. The risk of endometrial cancer was significantly increased for subjects with MetS, the ORs ranging between 1.67 and 2.77 when waist circumference was included in MetS definition, and 8.40 when BMI was considered instead. Conclusions: This study indicates a direct association between various MetS components, besides overweight, with the risk of endometrial cancer.

Original languageEnglish
Pages (from-to)884-889
Number of pages6
JournalAnnals of Oncology
Issue number4
Publication statusPublished - 2011


  • Diabetes
  • Dyslipidemia
  • Endometrial cancer
  • Hypertension
  • Metabolic syndrome
  • Obesity

ASJC Scopus subject areas

  • Oncology
  • Hematology


Dive into the research topics of 'Metabolic syndrome and endometrial cancer risk'. Together they form a unique fingerprint.

Cite this