Literature DB >> 33614510

Genetically Predicted C-Reactive Protein Associated With Postmenopausal Breast Cancer Risk: Interrelation With Estrogen and Cancer Molecular Subtypes Using Mendelian Randomization.

Su Yon Jung1, Jeanette C Papp2, Eric M Sobel2,3, Matteo Pellegrini4, Herbert Yu5, Zuo-Feng Zhang6,7.   

Abstract

BACKGROUND: Immune-related etiologic pathways that influence breast cancer risk are incompletely understood and may be confounded by lifestyles or reverse causality. Using a Mendelian randomization (MR) approach, we investigated the potential causal relationship between genetically elevated C-reactive protein (CRP) concentrations and primary invasive breast cancer risk in postmenopausal women.
METHODS: We used individual-level data obtained from 10,179 women, including 537 who developed breast cancer, from the Women's Health Initiative Database for Genotypes and Phenotypes Study, which consists of five genome-wide association (GWA) studies. We examined 61 GWA single-nucleotide polymorphisms (SNPs) previously associated with CRP. We employed weighted/penalized weighted-medians and MR gene-environment interactions that allow instruments' invalidity to some extent and attenuate the heterogeneous estimates of outlying SNPs.
RESULTS: In lifestyle-stratification analyses, genetically elevated CRP decreased risk for breast cancer in exogenous estrogen-only, estrogen + progestin, and past oral contraceptive (OC) users, but only among relatively short-term users (<5 years). Estrogen-only users for ≥5 years had more profound CRP-decreased breast cancer risk in dose-response fashion, whereas past OC users for ≥5 years had CRP-increased cancer risk. Also, genetically predicted CRP was strongly associated with increased risk for hormone-receptor positive or human epidermal growth factor receptor-2 negative breast cancer.
CONCLUSIONS: Our findings may provide novel evidence on the immune-related molecular pathways linking to breast cancer risk and suggest potential clinical use of CRP to predict the specific cancer subtypes. Our findings suggest potential interventions targeting CRP-inflammatory markers to reduce breast cancer risk.
Copyright © 2021 Jung, Papp, Sobel, Pellegrini, Yu and Zhang.

Entities:  

Keywords:  Mendelian randomization; breast cancer subtypes by hormone receptor and HER2/neu; exogenous estrogen; genetically driven C-reactive protein; obesity

Year:  2021        PMID: 33614510      PMCID: PMC7888276          DOI: 10.3389/fonc.2020.630994

Source DB:  PubMed          Journal:  Front Oncol        ISSN: 2234-943X            Impact factor:   6.244


  61 in total

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Authors:  Edmund A Bermudez; Nader Rifai; Julie E Buring; JoAnn E Manson; Paul M Ridker
Journal:  Am J Cardiol       Date:  2002-05-01       Impact factor: 2.778

2.  'Mendelian randomization': can genetic epidemiology contribute to understanding environmental determinants of disease?

Authors:  George Davey Smith; Shah Ebrahim
Journal:  Int J Epidemiol       Date:  2003-02       Impact factor: 7.196

3.  Relation between alcohol consumption and C-reactive protein levels in the adult US population.

Authors:  Scott H Stewart; Arch G Mainous; Greg Gilbert
Journal:  J Am Board Fam Pract       Date:  2002 Nov-Dec

Review 4.  Overweight, obesity and cancer: epidemiological evidence and proposed mechanisms.

Authors:  Eugenia E Calle; Rudolf Kaaks
Journal:  Nat Rev Cancer       Date:  2004-08       Impact factor: 60.716

5.  Association of exome sequences with plasma C-reactive protein levels in >9000 participants.

Authors:  Ursula M Schick; Paul L Auer; Joshua C Bis; Honghuang Lin; Peng Wei; Nathan Pankratz; Leslie A Lange; Jennifer Brody; Nathan O Stitziel; Daniel S Kim; Christopher S Carlson; Myriam Fornage; Jeffery Haessler; Li Hsu; Rebecca D Jackson; Charles Kooperberg; Suzanne M Leal; Bruce M Psaty; Eric Boerwinkle; Russell Tracy; Diego Ardissino; Svati Shah; Cristen Willer; Ruth Loos; Olle Melander; Ruth Mcpherson; Kees Hovingh; Muredach Reilly; Hugh Watkins; Domenico Girelli; Pierre Fontanillas; Daniel I Chasman; Stacey B Gabriel; Richard Gibbs; Deborah A Nickerson; Sekar Kathiresan; Ulrike Peters; Josée Dupuis; James G Wilson; Stephen S Rich; Alanna C Morrison; Emelia J Benjamin; Myron D Gross; Alex P Reiner
Journal:  Hum Mol Genet       Date:  2014-09-03       Impact factor: 6.150

6.  Preoperative serum C-reactive protein levels and early breast cancer by BMI and menopausal status.

Authors:  Tingting Hong; Aining Liu; Dongyan Cai; Ying Zhang; Dong Hua; Xiaosheng Hang; Xiaohong Wu
Journal:  Cancer Invest       Date:  2013-05       Impact factor: 2.176

7.  Prediagnostic serum inflammatory markers in relation to breast cancer risk, severity at diagnosis and survival in breast cancer patients.

Authors:  Wahyu Wulaningsih; Lars Holmberg; Hans Garmo; Håkan Malmstrom; Mats Lambe; Niklas Hammar; Göran Walldius; Ingmar Jungner; Mieke Van Hemelrijck
Journal:  Carcinogenesis       Date:  2015-06-30       Impact factor: 4.944

Review 8.  Obesity Biomarkers, Metabolism and Risk of Cancer: An Epidemiological Perspective.

Authors:  Katharina Nimptsch; Tobias Pischon
Journal:  Recent Results Cancer Res       Date:  2016

9.  Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association.

Authors:  William L Haskell; I-Min Lee; Russell R Pate; Kenneth E Powell; Steven N Blair; Barry A Franklin; Caroline A Macera; Gregory W Heath; Paul D Thompson; Adrian Bauman
Journal:  Med Sci Sports Exerc       Date:  2007-08       Impact factor: 5.411

10.  Mendelian randomization analysis with multiple genetic variants using summarized data.

Authors:  Stephen Burgess; Adam Butterworth; Simon G Thompson
Journal:  Genet Epidemiol       Date:  2013-09-20       Impact factor: 2.135

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  2 in total

1.  A Nomogram Combining a Four-Gene Biomarker and Clinical Factors for Predicting Survival of Melanoma.

Authors:  Chuan Zhang; Dan Dang; Yuqian Wang; Xianling Cong
Journal:  Front Oncol       Date:  2021-04-01       Impact factor: 6.244

2.  Genetically Determined Chronic Low-Grade Inflammation and Hundreds of Health Outcomes in the UK Biobank and the FinnGen Population: A Phenome-Wide Mendelian Randomization Study.

Authors:  Shucheng Si; Jiqing Li; Marlvin Anemey Tewara; Fuzhong Xue
Journal:  Front Immunol       Date:  2021-07-27       Impact factor: 7.561

  2 in total

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