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Shi J, Aronson KJ, Grundy A, et al. Polymorphisms of Insulin-Like Growth Factor 1 Pathway Genes and Breast Cancer Risk. Front Oncol. 2016;6:136doi: 10.3389/fonc.2016.00136.
Shi, J., Aronson, K. J., Grundy, A., Kobayashi, L. C., Burstyn, I., Schuetz, J. M., Lohrisch, C. A., SenGupta, S. K., Lai, A. S., Brooks-Wilson, A., Spinelli, J. J., & Richardson, H. (2016). Polymorphisms of Insulin-Like Growth Factor 1 Pathway Genes and Breast Cancer Risk. Frontiers in oncology, 6136. https://doi.org/10.3389/fonc.2016.00136
Shi, Joy, et al. "Polymorphisms of Insulin-Like Growth Factor 1 Pathway Genes and Breast Cancer Risk." Frontiers in oncology vol. 6 (2016): 136. doi: https://doi.org/10.3389/fonc.2016.00136
Shi J, Aronson KJ, Grundy A, Kobayashi LC, Burstyn I, Schuetz JM, Lohrisch CA, SenGupta SK, Lai AS, Brooks-Wilson A, Spinelli JJ, Richardson H. Polymorphisms of Insulin-Like Growth Factor 1 Pathway Genes and Breast Cancer Risk. Front Oncol. 2016 Jun 08;6:136. doi: 10.3389/fonc.2016.00136. eCollection 2016. PMID: 27376028; PMCID: PMC4896919.
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Front Oncol. 2016 Jun 08;6:136. doi: 10.3389/fonc.2016.00136. eCollection 2016.

Polymorphisms of Insulin-Like Growth Factor 1 Pathway Genes and Breast Cancer Risk.

Frontiers in oncology

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

Affiliations

  1. Department of Public Health Sciences, Cancer Research Institute, Queen's University , Kingston, ON , Canada.
  2. Individuals and Families, Alberta Cancer Prevention Legacy Fund, Alberta Health Services , Calgary, AB , Canada.
  3. Department of Epidemiology and Public Health, University College London , London , UK.
  4. Department of Environmental and Occupational Health, Drexel University , Philadelphia, PA , USA.
  5. Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency , Vancouver, BC , Canada.
  6. Department of Medical Oncology, British Columbia Cancer Agency , Vancouver, BC , Canada.
  7. Department of Pathology and Molecular Medicine, Queen's University , Kingston, ON , Canada.
  8. Department of Cancer Control Research, British Columbia Cancer Agency , Vancouver, BC , Canada.
  9. Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, BC, Canada; Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada.
  10. Department of Cancer Control Research, British Columbia Cancer Agency, Vancouver, BC, Canada; School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada.

PMID: 27376028 PMCID: PMC4896919 DOI: 10.3389/fonc.2016.00136

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.

Keywords: IGF; breast cancer; breast cancer subtypes; case–control; interactions; polymorphisms

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