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Growth factor genes and change in mammographic density after stopping combined hormone therapy in the California Teachers Study
BACKGROUND: The contribution of genetic polymorphisms to the large inter-individual variation in mammographic density (MD) changes following starting and stopping use of estrogen and progestin combined therapy (EPT) has not been well-studied. Previous studies have shown that circulating levels of in...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220514/ https://www.ncbi.nlm.nih.gov/pubmed/30400783 http://dx.doi.org/10.1186/s12885-018-4981-6 |
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author | Lee, Eunjung Luo, Jianning Schumacher, Fredrick R. Van Den Berg, David Wu, Anna H. Stram, Daniel O. Bernstein, Leslie Ursin, Giske |
author_facet | Lee, Eunjung Luo, Jianning Schumacher, Fredrick R. Van Den Berg, David Wu, Anna H. Stram, Daniel O. Bernstein, Leslie Ursin, Giske |
author_sort | Lee, Eunjung |
collection | PubMed |
description | BACKGROUND: The contribution of genetic polymorphisms to the large inter-individual variation in mammographic density (MD) changes following starting and stopping use of estrogen and progestin combined therapy (EPT) has not been well-studied. Previous studies have shown that circulating levels of insulin-like growth factors are associated with MD and cross-talk between estrogen signaling and growth factors is necessary for cell proliferation in the breast. We evaluated single nucleotide polymorphisms (SNPs) in growth factor genes in association with MD changes after women stop EPT use. METHODS: We genotyped 191 SNPs in 13 growth factor pathway genes in 284 non-Hispanic white California Teachers Study participants who previously used EPT and collected their mammograms before and after quitting EPT. Percent MD was assessed using a computer-assisted method. Change in percent MD was calculated by subtracting percent MD of an ‘off-EPT’ mammogram from percent MD of an ‘on-EPT’ (i.e. baseline) mammogram. We used multivariable linear regression analysis to investigate the association between SNPs and change in percent MD. We calculated P-values corrected for multiple testing within a gene (P(adj)). RESULTS: Rs1983210 in INHA and rs35539615 in IGFBP1/3 showed the strongest associations. Per minor allele of rs1983210, the absolute change in percent MD after stopping EPT use decreased by 1.80% (a difference in absolute change in percent MD) (P(adj)= 0.021). For rs35539615, change in percent MD increased by 1.79% per minor allele (P(adj)= 0.042). However, after applying a Bonferroni correction for the number of genes tested, these associations were no longer statistically significant. CONCLUSIONS: Genetic variation in growth factor pathway genes INHA and IGFBP1/3 may predict longitudinal MD change after women quit EPT. The observed differences in EPT-associated changes in percent MD in association with these genetic polymorphisms are modest but may be clinically significant considering that the magnitude of absolute increase in percent MD reported from large clinical trials of EPT ranged from 3% to 7%. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-018-4981-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6220514 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62205142018-11-15 Growth factor genes and change in mammographic density after stopping combined hormone therapy in the California Teachers Study Lee, Eunjung Luo, Jianning Schumacher, Fredrick R. Van Den Berg, David Wu, Anna H. Stram, Daniel O. Bernstein, Leslie Ursin, Giske BMC Cancer Research Article BACKGROUND: The contribution of genetic polymorphisms to the large inter-individual variation in mammographic density (MD) changes following starting and stopping use of estrogen and progestin combined therapy (EPT) has not been well-studied. Previous studies have shown that circulating levels of insulin-like growth factors are associated with MD and cross-talk between estrogen signaling and growth factors is necessary for cell proliferation in the breast. We evaluated single nucleotide polymorphisms (SNPs) in growth factor genes in association with MD changes after women stop EPT use. METHODS: We genotyped 191 SNPs in 13 growth factor pathway genes in 284 non-Hispanic white California Teachers Study participants who previously used EPT and collected their mammograms before and after quitting EPT. Percent MD was assessed using a computer-assisted method. Change in percent MD was calculated by subtracting percent MD of an ‘off-EPT’ mammogram from percent MD of an ‘on-EPT’ (i.e. baseline) mammogram. We used multivariable linear regression analysis to investigate the association between SNPs and change in percent MD. We calculated P-values corrected for multiple testing within a gene (P(adj)). RESULTS: Rs1983210 in INHA and rs35539615 in IGFBP1/3 showed the strongest associations. Per minor allele of rs1983210, the absolute change in percent MD after stopping EPT use decreased by 1.80% (a difference in absolute change in percent MD) (P(adj)= 0.021). For rs35539615, change in percent MD increased by 1.79% per minor allele (P(adj)= 0.042). However, after applying a Bonferroni correction for the number of genes tested, these associations were no longer statistically significant. CONCLUSIONS: Genetic variation in growth factor pathway genes INHA and IGFBP1/3 may predict longitudinal MD change after women quit EPT. The observed differences in EPT-associated changes in percent MD in association with these genetic polymorphisms are modest but may be clinically significant considering that the magnitude of absolute increase in percent MD reported from large clinical trials of EPT ranged from 3% to 7%. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-018-4981-6) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-06 /pmc/articles/PMC6220514/ /pubmed/30400783 http://dx.doi.org/10.1186/s12885-018-4981-6 Text en © The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Lee, Eunjung Luo, Jianning Schumacher, Fredrick R. Van Den Berg, David Wu, Anna H. Stram, Daniel O. Bernstein, Leslie Ursin, Giske Growth factor genes and change in mammographic density after stopping combined hormone therapy in the California Teachers Study |
title | Growth factor genes and change in mammographic density after stopping combined hormone therapy in the California Teachers Study |
title_full | Growth factor genes and change in mammographic density after stopping combined hormone therapy in the California Teachers Study |
title_fullStr | Growth factor genes and change in mammographic density after stopping combined hormone therapy in the California Teachers Study |
title_full_unstemmed | Growth factor genes and change in mammographic density after stopping combined hormone therapy in the California Teachers Study |
title_short | Growth factor genes and change in mammographic density after stopping combined hormone therapy in the California Teachers Study |
title_sort | growth factor genes and change in mammographic density after stopping combined hormone therapy in the california teachers study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220514/ https://www.ncbi.nlm.nih.gov/pubmed/30400783 http://dx.doi.org/10.1186/s12885-018-4981-6 |
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