A Prospective Analysis of Circulating Plasma Metabolites Associated with Ovarian Cancer Risk

Abstract

Ovarian cancer has few known risk factors, hampering identification of high-risk women. We assessed the association of prediagnostic plasma metabolites (N = 420) with risk of epithelial ovarian cancer, including both borderline and invasive tumors. A total of 252 cases and 252 matched controls from the Nurses' Health Studies were included. Multivariable logistic regression was used to estimate ORs and 95% confidence intervals (CI), comparing the 90th–10th percentile in metabolite levels, using the permutation-based Westfall and Young approach to account for testing multiple correlated hypotheses. Weighted gene coexpression network analysis (WGCNA; n = 10 metabolite modules) and metabolite set enrichment analysis (n = 23 metabolite classes) were also evaluated. An increase in pseudouridine levels from the 10th to the 90th percentile was associated with a 2.5-fold increased risk of overall ovarian cancer (OR = 2.56; 95% CI, 1.48–4.45; P = 0.001/adjusted P = 0.15); a similar risk estimate was observed for serous/poorly differentiated tumors (n = 176 cases; comparable OR = 2.38; 95% CI, 1.33–4.32; P = 0.004/adjusted P = 0.55). For nonserous tumors (n = 34 cases), pseudouridine and C36:2 phosphatidylcholine plasmalogen had the strongest statistical associations (OR = 9.84; 95% CI, 2.89–37.82; P < 0.001/adjusted P = 0.07; and OR = 0.11; 95% CI, 0.03–0.35; P < 0.001/adjusted P = 0.06, respectively). Five WGCNA modules and 9 classes were associated with risk overall at FDR ≤ 0.20. Triacylglycerols (TAG) showed heterogeneity by tumor aggressiveness (case-only heterogeneity P < 0.0001). The TAG association with risk overall and serous tumors differed by acyl carbon content and saturation. In summary, this study suggests that pseudouridine may be a novel risk factor for ovarian cancer and that TAGs may also be important, particularly for rapidly fatal tumors, with associations differing by structural features.

Document Details

Document Type
Pub Defense Publication
Publication Date
Mar 13, 2020
Source ID
10.1158/0008-5472.can-19-2567

Entities

People

  • A Heather Eliassen
  • Amy Deik
  • Bernard A. Rosner
  • Clary B Clish
  • Daniel S. Hitchcock
  • Elizabeth M Poole
  • Julian Avila
  • Kevin Bullock
  • Oana A Zeleznik
  • Peter Kraft
  • Sarah Jeanfavre
  • Shelley S. Tworoger

Organizations

  • H. Lee Moffitt Cancer Center & Research Institute
  • Harvard Medical School
  • Harvard University
  • National Cancer Institute
  • United States Department of Defense

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