» Articles » PMID: 32928877

Genome-wide Association Analysis of Proinflammatory Cytokines and Gene-lifestyle Interaction for Invasive Breast Cancer Risk: The WHI DbGaP Study

Overview
Specialty Oncology
Date 2020 Sep 15
PMID 32928877
Citations 11
Authors
Affiliations
Soon will be listed here.
Abstract

Immune-related etiologic pathways to influence invasive breast cancer risk may interact with lifestyle factors, but the interrelated molecular genetic pathways are incompletely characterized. We used data from the Women's Health Initiative Database for Genotypes and Phenotypes Study including 16,088 postmenopausal women, a population highly susceptible to inflammation, obesity, and increased risk for breast cancer. With 21,784,812 common autosomal single-nucleotide polymorphisms (SNP), we conducted a genome-wide association (GWA) gene-environment interaction (G × E) analysis in six independent GWA Studies for proinflammatory cytokines [IL6 and C-reactive protein (CRP)] and their gene-lifestyle interactions. Subsequently, we tested for the association of the GWA SNPs with breast cancer risk. In women overall and stratified by obesity status (body mass index, waist circumference, and waist-to-hip ratio) and obesity-related lifestyle factors (exercise and high-fat diet), 88 GWA SNPs in 10 loci were associated with proinflammatory cytokines: 3 associated with IL6 (1 index SNP in and 1 independent SNP in ); 85 with CRP (3 index SNPs in , and ; and two independent SNPs in and ). Of those, 27 in , and displayed significantly increased risk for breast cancer. We found a number of novel top markers for CRP and IL6, which interacted with obesity factors. A substantial proportion of those SNPs' susceptibility influenced breast cancer risk. Our findings may contribute to better understanding of genetic associations between pro-inflammation and cancer and suggest intervention strategies for women who carry the risk genotypes, reducing breast cancer risk. PREVENTION RELEVANCE: The top GWA-SNPs associated with pro-inflammatory biomarkers have implications for breast carcinogenesis by interacting with obesity factors. Our findings may suggest interventions for women who carry the inflammatory-risk genotypes to reduce breast cancer risk.

Citing Articles

Metabolomics-Driven Biomarker Discovery for Breast Cancer Prognosis and Diagnosis.

Kaur R, Gupta S, Kulshrestha S, Khandelwal V, Pandey S, Kumar A Cells. 2025; 14(1.

PMID: 39791706 PMC: 11720085. DOI: 10.3390/cells14010005.


Mass spectrometry-detected MGUS is associated with obesity and other novel modifiable risk factors in a high-risk population.

Lee D, El-Khoury H, Tramontano A, Alberge J, Perry J, Davis M Blood Adv. 2024; 8(7):1737-1746.

PMID: 38212245 PMC: 10997907. DOI: 10.1182/bloodadvances.2023010843.


Omics-Based Investigations of Breast Cancer.

Neagu A, Whitham D, Bruno P, Morrissiey H, Darie C, Darie C Molecules. 2023; 28(12).

PMID: 37375323 PMC: 10302907. DOI: 10.3390/molecules28124768.


The effects of FTO gene rs9939609 polymorphism on the association between breast cancer and dietary intake.

Doaei S, Abdollahi S, Khalatbari Mohseni G, Gholamalizadeh M, Akbari M, Poorhosseini S J Cell Mol Med. 2022; 26(23):5794-5806.

PMID: 36403211 PMC: 9716323. DOI: 10.1111/jcmm.17595.


Correlation Analysis of Pathological Features and Axillary Lymph Node Metastasis in Patients with Invasive Breast Cancer.

Chen H, Meng X, Hao X, Li Q, Tian L, Qiu Y J Immunol Res. 2022; 2022:7150304.

PMID: 36249424 PMC: 9553448. DOI: 10.1155/2022/7150304.


References
1.
Higgins J, Thompson S . Quantifying heterogeneity in a meta-analysis. Stat Med. 2002; 21(11):1539-58. DOI: 10.1002/sim.1186. View

2.
Wiens B, Dmitrienko A, Marchenko O . Selection of hypothesis weights and ordering when testing multiple hypotheses in clinical trials. J Biopharm Stat. 2013; 23(6):1403-19. DOI: 10.1080/10543406.2013.834920. View

3.
Janky R, Binda M, Allemeersch J, Van Den Broeck A, Govaere O, Swinnen J . Prognostic relevance of molecular subtypes and master regulators in pancreatic ductal adenocarcinoma. BMC Cancer. 2016; 16:632. PMC: 4983037. DOI: 10.1186/s12885-016-2540-6. View

4.
Rebouissou S, Rosty C, Lecuru F, Boisselier S, Bui H, Le Frere-Belfa M . Mutation of TCF1 encoding hepatocyte nuclear factor 1alpha in gynecological cancer. Oncogene. 2004; 23(45):7588-92. DOI: 10.1038/sj.onc.1207989. View

5.
Ligthart S, Vaez A, Vosa U, Stathopoulou M, de Vries P, Prins B . Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders. Am J Hum Genet. 2018; 103(5):691-706. PMC: 6218410. DOI: 10.1016/j.ajhg.2018.09.009. View