Annual Meeting of the NCI Cohort Consortium (Abstract Submission): Submission #2
Submission information
Submission Number: 2
Submission ID: 185937
Submission UUID: 18a08774-33ea-456c-b710-db829461417f
Submission URI: /egrp/cohortconsortium/abstracts
Submission Update: /egrp/cohortconsortium/abstracts?token=vEkCd3evmIPmSvtHafUx-bWgex2nP1TPRlPczqfVj88
Created: Tue, 07/07/2026 - 17:30
Completed: Tue, 07/07/2026 - 17:45
Changed: Tue, 07/07/2026 - 17:45
Remote IP address: 10.208.28.70
Submitted by: Anonymous
Language: English
Is draft: No
Webform: Cohort Abstract
| First Name | Yilda |
|---|---|
| Middle Initial | G. |
| Last Name | Macias |
| Degree(s) | M.P.H. |
| Position/Title/Career Status | PhD Candidate |
| Organization | Department of Epidemiology, University of Washington School of Public Health; Public Health Sciences Division, Fred Hutchinson Cancer Center |
| ymacia29@uw.edu | |
| List of Additional Authors |
|
| Abstract Title | Polyendocrine metabolic ovarian syndrome and pancreatic cancer risk: A pooled analysis across four prospective cohorts |
| Abstract | 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. |