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Polymorphisms of Insulin-Like Growth Factor 1 Pathway Genes and Breast Cancer Risk
Journal article   Open access   Peer reviewed

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

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, …
Frontiers in oncology, v 6, pp 136-136
08 Jun 2016
PMID: 27376028
url
https://doi.org/10.3389/fonc.2016.00136View
Published, Version of Record (VoR)CC BY V4.0 Open

Abstract

breast cancer breast cancer subtypes case–control IGF interactions Oncology polymorphisms
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.

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Oncology
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