Title |
Polymorphisms of Insulin-Like Growth Factor 1 Pathway Genes and Breast Cancer Risk
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Published in |
Frontiers in oncology, June 2016
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DOI | 10.3389/fonc.2016.00136 |
Pubmed ID | |
Authors |
Joy Shi, Kristan J. Aronson, Anne Grundy, Lindsay C. Kobayashi, Igor Burstyn, Johanna M. Schuetz, Caroline A. Lohrisch, Sandip K. SenGupta, Agnes S. Lai, Angela Brooks-Wilson, John J. Spinelli, Harriet Richardson |
Abstract |
Genetic variants of insulin-like growth factor 1 (IGF1) pathway genes have been shown to be associated with breast density and IGF1 levels and, therefore, may also influence breast cancer risk via pro-survival signaling cascades. The aim of this study was to investigate associations between IGF1 pathway single nucleotide polymorphisms (SNPs) and breast cancer risk among European and East Asian women, and potential interactions with menopausal status and breast tumor subtype. Stratified analyses of 1,037 cases and 1,050 controls from a population-based case-control study were conducted to assess associations with breast cancer for 22 SNPs across 5 IGF1 pathway genes in European and East Asian women. Odds ratios were calculated using logistic regression in additive genetic models. Polytomous logistic regression was used to assess heterogeneity by breast tumor subtype. Two SNPs of the IGF1 gene (rs1019731 and rs12821878) were associated with breast cancer risk among European women. Four highly linked IGF1 SNPs (rs2288378, rs17727841, rs7136446, and rs7956547) were modified by menopausal status among East Asian women only and associated with postmenopausal breast cancers. The association between rs2288378 and breast cancer risk was also modified by breast tumor subtype among East Asian women. Several IGF1 polymorphisms were found to be associated with breast cancer risk and some of these associations were modified by menopausal status or breast tumor subtype. Such interactions should be considered when assessing the role of these variants in breast cancer etiology. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Switzerland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 5 | 26% |
Professor > Associate Professor | 2 | 11% |
Student > Ph. D. Student | 2 | 11% |
Student > Bachelor | 1 | 5% |
Researcher | 1 | 5% |
Other | 1 | 5% |
Unknown | 7 | 37% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 5 | 26% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
Psychology | 1 | 5% |
Nursing and Health Professions | 1 | 5% |
Other | 0 | 0% |
Unknown | 10 | 53% |