Literature DB >> 30262599

Prediagnostic Serum Levels of Fatty Acid Metabolites and Risk of Ovarian Cancer in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial.

Manila Hada1, Matthew L Edin2, Patricia Hartge3, Fred B Lih2, Nicolas Wentzensen3, Darryl C Zeldin2, Britton Trabert3.   

Abstract

BACKGROUND: Evidence suggests that inflammation increases risk for ovarian cancer. Aspirin has been shown to decrease ovarian cancer risk, though the mechanism is unknown. Studies of inflammatory markers, lipid molecules such as arachidonic acid, linoleic acid, and alpha-linoleic acid metabolites, and development of ovarian cancer are essential to understand the potential mechanisms.
METHODS: We conducted a nested case-control study (157 cases/156 matched controls) within the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. Unconditional logistic regression was used to estimate the association between prediagnostic serum levels of 31 arachidonic acid/linoleic acid/alpha-linoleic acid metabolites and risk of ovarian cancer.
RESULTS: Five of the 31 arachidonic acid/linoleic acid/alpha-linoleic acid (free fatty acids) metabolites were positively associated with ovarian cancer risk: 8-HETE [tertile 3 vs. 1: OR 2.53 (95% confidence interval [CI] 1.18-5.39), P trend 0.02], 12,13-DHOME [2.49 (1.29-4.81), 0.01], 13-HODE [2.47 (1.32-4.60), 0.005], 9-HODE [1.97 (1.06-3.68), 0.03], 9,12,13-THOME [2.25 (1.20-4.21), 0.01]. In analyses by subtype, heterogeneity was suggested for 8-HETE [serous OR (95% CI): 2.53 (1.18-5.39) vs. nonserous OR (95% CI): 1.15 (0.56-2.36), P het 0.1] and 12,13-EpOME [1.95 (0.90-4.22) vs. 0.82 (0.39-1.73), 0.05].
CONCLUSIONS: Women with increased levels of five fatty acid metabolites (8-HETE, 12,13-DHOME, 13-HODE, 9-HODE, and 9,12,13-THOME) were at increased risk of developing ovarian cancer in the ensuing decade. All five metabolites are derived from either arachidonic acid (8-HETE) or linoleic acid (12,13-DHOME, 13-HODE, 9-HODE, 9,12,13-THOME) via metabolism through the LOX/cytochrome P450 pathway. IMPACT: The identification of these risk-related fatty acid metabolites provides mechanistic insights into the etiology of ovarian cancer and indicates the direction for future research. ©2018 American Association for Cancer Research.

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Year:  2018        PMID: 30262599      PMCID: PMC6325018          DOI: 10.1158/1055-9965.EPI-18-0392

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  5 in total

1.  Quantitative global lipidomics analysis of patients with ovarian cancer versus benign adnexal mass.

Authors:  Matthew F Buas; Charles W Drescher; Nicole Urban; Christopher I Li; Lisa Bettcher; Nitai C Hait; Kirsten B Moysich; Kunle Odunsi; Daniel Raftery; Li Yan
Journal:  Sci Rep       Date:  2021-09-13       Impact factor: 4.996

2.  Multi-Omics Approach Points to the Importance of Oxylipins Metabolism in Early-Stage Breast Cancer.

Authors:  Dmitry V Chistyakov; Mariia V Guryleva; Elena S Stepanova; Lyubov M Makarenkova; Elena V Ptitsyna; Sergei V Goriainov; Arina I Nikolskaya; Alina A Astakhova; Anna S Klimenko; Olga A Bezborodova; Elena A Rasskazova; Olga G Potanina; Rimma A Abramovich; Elena R Nemtsova; Marina G Sergeeva
Journal:  Cancers (Basel)       Date:  2022-04-18       Impact factor: 6.575

Review 3.  Targeting lipid metabolism in the treatment of ovarian cancer.

Authors:  Saliha Chaudhry; Stefani N Thomas; Glenn E Simmons
Journal:  Oncotarget       Date:  2022-05-25

4.  Urinary PGE-M Levels and Risk of Ovarian Cancer.

Authors:  Mollie E Barnard; Alicia Beeghly-Fadiel; Ginger L Milne; Eftitan Y Akam; Andrew T Chan; A Heather Eliassen; Bernard A Rosner; Xiao-Ou Shu; Kathryn L Terry; Yong-Bing Xiang; Wei Zheng; Shelley S Tworoger
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-08-06       Impact factor: 4.254

5.  Metabolomics Analytics Workflow for Epidemiological Research: Perspectives from the Consortium of Metabolomics Studies (COMETS).

Authors:  Mary C Playdon; Amit D Joshi; Fred K Tabung; Susan Cheng; Mir Henglin; Andy Kim; Tengda Lin; Eline H van Roekel; Jiaqi Huang; Jan Krumsiek; Ying Wang; Ewy Mathé; Marinella Temprosa; Steven Moore; Bo Chawes; A Heather Eliassen; Andrea Gsur; Marc J Gunter; Sei Harada; Claudia Langenberg; Matej Oresic; Wei Perng; Wei Jie Seow; Oana A Zeleznik
Journal:  Metabolites       Date:  2019-07-17
  5 in total

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