Literature DB >> 28971183

Interaction between polyunsaturated fatty acids and genetic variants in relation to breast cancer incidence.

Nikhil K Khankari1, Patrick T Bradshaw2, Susan E Steck3, Ka He4, Andrew F Olshan1, Jiyoung Ahn5,6, Mary Beth Terry7, Katherine D Crew7,8, Susan L Teitelbaum9, Alfred I Neugut7,8, Regina M Santella10, Marilie D Gammon1.   

Abstract

Higher intake of ω-3 relative to ω-6 polyunsaturated fatty acids (PUFAs) may reduce breast carcinogenesis via different metabolic pathways. The PUFA-breast cancer association remains inconclusive, thus, we hypothesized that interactions between the ratio of dietary ω-3:ω-6 intake and polymorphisms from PUFA-related metabolic pathways would help elucidate an association. Utilizing resources from the Long Island Breast Cancer Study Project, a population-based case-control study (n=1035 cases/1075 controls), we examined interactions between ω-3:ω-6 ratio and 18 polymorphisms of 15 genes. Compared to the putative lowest risk group (high ω-3:ω-6,low-risk FASL rs763110 CT/TT genotype), the odds ratio (OR) for breast cancer from unconditional logistic regression models was weakly increased for other exposure-genotype combinations (high ω-3:ω-6,high-risk FASL CC genotype, OR=1.18,95% confidence interval(CI)=0.90,1.53; low ω-3:ω-6,CT/TT genotype, OR=1.35,95%CI=1.09,1.66); but was approximately null for the putative highest risk group (low ω-3:ω-6,CC genotype; OR=1.06,95%CI=0.81,1.38). We observed an interaction between the ω-3:ω-6 ratio and FASL rs763110 on the additive scale [Relative Excess Risk Due to Interaction(RERI)=-0.47, 95%CI=-0.92,-0.02]. Interactions with other polymorphisms considered were not evident. Our findings suggest that the PUFA-breast cancer association may be modified by FASL. However, additional research is needed given this interaction may be due to chance and is inconsistent with our a priori biologic hypothesis.

Entities:  

Keywords:  breast cancer; epidemiology; fat/omega-3; omega-6/fish oil; single nucleotide polymorphisms

Year:  2016        PMID: 28971183      PMCID: PMC5621474     

Source DB:  PubMed          Journal:  J Cancer Epidemiol Prev (iMedPub)


  23 in total

1.  Confidence interval estimation of interaction.

Authors:  D W Hosmer; S Lemeshow
Journal:  Epidemiology       Date:  1992-09       Impact factor: 4.822

Review 2.  Breast cancer statistics, 2013.

Authors:  Carol DeSantis; Jiemin Ma; Leah Bryan; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2013-10-01       Impact factor: 508.702

3.  Environmental toxins and breast cancer on Long Island. I. Polycyclic aromatic hydrocarbon DNA adducts.

Authors:  Marilie D Gammon; Regina M Santella; Alfred I Neugut; Sybil M Eng; Susan L Teitelbaum; Andrea Paykin; Bruce Levin; Mary Beth Terry; Tie Lan Young; Lian Wen Wang; Qiao Wang; Julie A Britton; Mary S Wolff; Steven D Stellman; Maureen Hatch; Geoffrey C Kabat; Ruby Senie; Gail Garbowski; Carla Maffeo; Pat Montalvan; Gertrud Berkowitz; Margaret Kemeny; Marc Citron; Freya Schnabel; Allan Schuss; Steven Hajdu; Vincent Vinceguerra
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2002-08       Impact factor: 4.254

4.  Peroxisome proliferator-activated receptor-alpha (PPARA) genetic polymorphisms and breast cancer risk: a Long Island ancillary study.

Authors:  Amanda K Golembesky; Marilie D Gammon; Kari E North; Jeannette T Bensen; Jane C Schroeder; Susan L Teitelbaum; Alfred I Neugut; Regina M Santella
Journal:  Carcinogenesis       Date:  2008-06-26       Impact factor: 4.944

5.  Dietary total fat and fatty acids intake, serum fatty acids and risk of breast cancer: A meta-analysis of prospective cohort studies.

Authors:  Yi Cao; Lin Hou; Weijing Wang
Journal:  Int J Cancer       Date:  2015-12-09       Impact factor: 7.396

6.  A CYP19 (aromatase) polymorphism is associated with increased premenopausal breast cancer risk.

Authors:  Kathryn E Talbott; Marilie D Gammon; Muhammad G Kibriya; Yu Chen; Susan L Teitelbaum; Chang-Min Long; Irina Gurvich; Regina M Santella; Habibul Ahsan
Journal:  Breast Cancer Res Treat       Date:  2007-11-02       Impact factor: 4.872

7.  Polyunsaturated fatty acid interactions and breast cancer incidence: a population-based case-control study on Long Island, New York.

Authors:  Nikhil K Khankari; Patrick T Bradshaw; Susan E Steck; Ka He; Andrew F Olshan; Jing Shen; Jiyoung Ahn; Yu Chen; Habibul Ahsan; Mary Beth Terry; Susan L Teitelbaum; Alfred I Neugut; Regina M Santella; Marilie D Gammon
Journal:  Ann Epidemiol       Date:  2015-09-14       Impact factor: 3.797

8.  The impact of FADS genetic variants on ω6 polyunsaturated fatty acid metabolism in African Americans.

Authors:  Rasika A Mathias; Susan Sergeant; Ingo Ruczinski; Dara G Torgerson; Christina E Hugenschmidt; Meghan Kubala; Dhananjay Vaidya; Bhoom Suktitipat; Julie T Ziegler; Priscilla Ivester; Douglas Case; Lisa R Yanek; Barry I Freedman; Megan E Rudock; Kathleen C Barnes; Carl D Langefeld; Lewis C Becker; Donald W Bowden; Diane M Becker; Floyd H Chilton
Journal:  BMC Genet       Date:  2011-05-20       Impact factor: 2.797

9.  Genetic polymorphisms in the cyclooxygenase-2 gene, use of nonsteroidal anti-inflammatory drugs, and breast cancer risk.

Authors:  Jing Shen; Marilie D Gammon; Mary Beth Terry; Susan L Teitelbaum; Alfred I Neugut; Regina M Santella
Journal:  Breast Cancer Res       Date:  2006       Impact factor: 6.466

10.  Prostaglandin E2 stimulates Fas ligand expression via the EP1 receptor in colon cancer cells.

Authors:  G O'Callaghan; J Kelly; F Shanahan; A Houston
Journal:  Br J Cancer       Date:  2008-07-22       Impact factor: 7.640

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  1 in total

Review 1.  A Scoping Review of Interactions between Omega-3 Long-Chain Polyunsaturated Fatty Acids and Genetic Variation in Relation to Cancer Risk.

Authors:  Karin Yurko-Mauro; Mary Van Elswyk; Lynn Teo
Journal:  Nutrients       Date:  2020-06-02       Impact factor: 5.717

  1 in total

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