Annual Meeting of the NCI Cohort Consortium (Abstract Submission): Submission #2

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data:
  list_of_additional_authors:
    - add_author_degrees: 'Ph.D, MSPH'
      affiliation: 'Epidemiology Branch, National Institute of Environmental Health Sciences'
      first_name: Katie
      last_name: "O'Brien"
    - add_author_degrees: 'Ph.D., M.P.H.'
      affiliation: 'Department of Epidemiology, University of Washington School of Public Health; Public Health Sciences Division, Fred Hutchinson Cancer Center'
      first_name: Amanda
      last_name: Phipps
    - add_author_degrees: 'Ph.D., M.P.H., RD'
      affiliation: 'Population Science, American Cancer Society'
      first_name: Caroline
      last_name: Um
    - add_author_degrees: Ph.D.
      affiliation: 'Division of Genetics and Epidemiology, The Institute of Cancer Research'
      first_name: Nathalie
      last_name: Kliemann
    - add_author_degrees: 'Ph.D., M.P.H.'
      affiliation: 'Epidemiology Branch, National Institute of Environmental Health Sciences'
      first_name: Dale
      last_name: Sandler
    - add_author_degrees: 'M.D., ScD'
      affiliation: 'Center for Research on Population Health, National Institute of Public Health, Mexico;  Department of Global Health and Population, Harvard T.H. Chan School of Public Health'
      first_name: Martin
      last_name: Lajous
    - add_author_degrees: 'M.D., M.P.H., DrPH'
      affiliation: 'Division of Genetics and Epidemiology, The Institute of Cancer Research'
      first_name: Montserrat
      last_name: Garcia-Closas
    - add_author_degrees: Ph.D.
      affiliation: 'Division of Genetics and Epidemiology, The Institute of Cancer Research'
      first_name: Amy
      last_name: 'Berrington de Gonzalez'
    - add_author_degrees: 'ScD, M.P.H.'
      affiliation: 'Department of Epidemiology, University of Washington School of Public Health; Public Health Sciences Division, Fred Hutchinson Cancer Center'
      first_name: Holly
      last_name: Harris
  degree_s_: M.P.H.
  email: ymacia29@uw.edu
  first_name: Yilda
  last_name: Macias
  middle_initial: G.
  organization: 'Department of Epidemiology, University of Washington School of Public Health; Public Health Sciences Division, Fred Hutchinson Cancer Center'
  summary: |-
    Background: Despite sharing several risk factors, the association between pancreatic cancer and polyendocrine metabolic ovarian syndrome (PMOS), a common endocrinopathy affecting 8-13% of reproductive-aged individuals, remains understudied. Insulin resistance, reported in 35-80% of individuals with PMOS and compounded by obesity and type 2 diabetes, represents one plausible shared mechanism. Three retrospective studies reported a positive association between PMOS and pancreatic cancer, but findings were limited by small sample sizes, single-timepoint covariate assessment, and inconsistent exposure classification.

    Methods: We will utilize participant data from over 400,000 women across four prospective cohorts: the Sister Study (SIS), the Cancer Prevention Study-3 (CPS-3), the Mexican Teachers Cohort (MTC), and the Generations Study (GS). Incident pancreatic cancers were identified via self-reports, registry linkage, and mortality records. To capture a broader range of PMOS presentations, we will consider four exposure definitions: self-reported PMOS, menstrual cycle irregularity (MCI), either condition, or both conditions. Pooled logistic regression with one-year intervals will be used to estimate odds ratios and 95% confidence intervals, adjusting for time-varying covariates selected a priori based on established PMOS and pancreatic cancer associations. Cohort-specific estimates will be meta-analyzed to assess heterogeneity prior to pooling. 

    Results: Cohort-specific analyses have been completed for SIS and CPS-3. In SIS, all four exposures showed suggestively positive associations with pancreatic cancer risk (OR range = 1.33 – 1.43). In CPS-3, PMOS and the combined exposure could not be evaluated due to low numbers of PMOS-exposed pancreatic cancer cases; associations were null to weakly positive across MCI and either condition (OR range = 1.07 – 1.12). 

    Discussion: To our knowledge, this will provide the first prospective evaluation of PMOS and pancreatic cancer risk. Findings may inform risk stratification efforts for individuals with PMOS, a population disproportionately burdened by metabolic comorbidities and underrepresented in epidemiologic research.
  title: 'PhD Candidate'
  ttile: 'Polyendocrine metabolic ovarian syndrome and pancreatic cancer risk: A pooled analysis across four prospective cohorts'