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Breast cancer chemoprevention pharmacogenomics: Deep sequencing and functional genomics of the ZNF423 and CTSO genes

Our previous GWAS using samples from the NSABP P-1 and P-2 selective estrogen receptor modulator (SERM) breast cancer prevention trials identified SNPs in ZNF423 and near CTSO that were associated with breast cancer risk during SERM chemoprevention. We have now performed Next Generation DNA sequenci...

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Autores principales: Liu, Duan, Ho, Ming-Fen, Schaid, Daniel J., Scherer, Steven E., Kalari, Krishna, Liu, Mohan, Biernacka, Joanna, Yee, Vivien, Evans, Jared, Carlson, Erin, Goetz, Matthew P., Kubo, Michiaki, Wickerham, D. Lawrence, Wang, Liewei, Ingle, James N., Weinshilboum, Richard M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5566425/
https://www.ncbi.nlm.nih.gov/pubmed/28856246
http://dx.doi.org/10.1038/s41523-017-0036-4
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author Liu, Duan
Ho, Ming-Fen
Schaid, Daniel J.
Scherer, Steven E.
Kalari, Krishna
Liu, Mohan
Biernacka, Joanna
Yee, Vivien
Evans, Jared
Carlson, Erin
Goetz, Matthew P.
Kubo, Michiaki
Wickerham, D. Lawrence
Wang, Liewei
Ingle, James N.
Weinshilboum, Richard M.
author_facet Liu, Duan
Ho, Ming-Fen
Schaid, Daniel J.
Scherer, Steven E.
Kalari, Krishna
Liu, Mohan
Biernacka, Joanna
Yee, Vivien
Evans, Jared
Carlson, Erin
Goetz, Matthew P.
Kubo, Michiaki
Wickerham, D. Lawrence
Wang, Liewei
Ingle, James N.
Weinshilboum, Richard M.
author_sort Liu, Duan
collection PubMed
description Our previous GWAS using samples from the NSABP P-1 and P-2 selective estrogen receptor modulator (SERM) breast cancer prevention trials identified SNPs in ZNF423 and near CTSO that were associated with breast cancer risk during SERM chemoprevention. We have now performed Next Generation DNA sequencing to identify additional SNPs that might contribute to breast cancer risk and to extend our observation that SNPs located hundreds of bp from estrogen response elements (EREs) can alter estrogen receptor alpha (ERα) binding in a SERM-dependent fashion. Our study utilized a nested case-control cohort selected from patients enrolled in the original GWAS, with 199 cases who developed breast cancer during SERM therapy and 201 matched controls who did not. We resequenced approximately 500 kb across both ZNF423 and CTSO, followed by functional genomic studies. We identified 4079 SNPs across ZNF423 and 3876 across CTSO, with 9 SNPs in ZNF423 and 12 in CTSO with p < 1E-02 that were within 500 bp of an ERE motif. The rs746157 (p = 8.44E-04) and rs12918288 SNPs (p = 3.43E-03) in intron 5 of ZNF423, were in linkage equilibrium and were associated with alterations in ER-binding to an ERE motif distant from these SNPs. We also studied all nonsynonymous SNPs in both genes and observed that one nsSNP in ZNF423 displayed decreased protein expression. In conclusion, we identified additional functional SNPs in ZNF423 that were associated with SNP and SERM-dependent alternations in ER binding and transcriptional regulation for an ERE at a distance from the SNPs, thus providing novel insight into mechanisms of SERM effect.
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spelling pubmed-55664252017-08-30 Breast cancer chemoprevention pharmacogenomics: Deep sequencing and functional genomics of the ZNF423 and CTSO genes Liu, Duan Ho, Ming-Fen Schaid, Daniel J. Scherer, Steven E. Kalari, Krishna Liu, Mohan Biernacka, Joanna Yee, Vivien Evans, Jared Carlson, Erin Goetz, Matthew P. Kubo, Michiaki Wickerham, D. Lawrence Wang, Liewei Ingle, James N. Weinshilboum, Richard M. NPJ Breast Cancer Article Our previous GWAS using samples from the NSABP P-1 and P-2 selective estrogen receptor modulator (SERM) breast cancer prevention trials identified SNPs in ZNF423 and near CTSO that were associated with breast cancer risk during SERM chemoprevention. We have now performed Next Generation DNA sequencing to identify additional SNPs that might contribute to breast cancer risk and to extend our observation that SNPs located hundreds of bp from estrogen response elements (EREs) can alter estrogen receptor alpha (ERα) binding in a SERM-dependent fashion. Our study utilized a nested case-control cohort selected from patients enrolled in the original GWAS, with 199 cases who developed breast cancer during SERM therapy and 201 matched controls who did not. We resequenced approximately 500 kb across both ZNF423 and CTSO, followed by functional genomic studies. We identified 4079 SNPs across ZNF423 and 3876 across CTSO, with 9 SNPs in ZNF423 and 12 in CTSO with p < 1E-02 that were within 500 bp of an ERE motif. The rs746157 (p = 8.44E-04) and rs12918288 SNPs (p = 3.43E-03) in intron 5 of ZNF423, were in linkage equilibrium and were associated with alterations in ER-binding to an ERE motif distant from these SNPs. We also studied all nonsynonymous SNPs in both genes and observed that one nsSNP in ZNF423 displayed decreased protein expression. In conclusion, we identified additional functional SNPs in ZNF423 that were associated with SNP and SERM-dependent alternations in ER binding and transcriptional regulation for an ERE at a distance from the SNPs, thus providing novel insight into mechanisms of SERM effect. Nature Publishing Group UK 2017-08-21 /pmc/articles/PMC5566425/ /pubmed/28856246 http://dx.doi.org/10.1038/s41523-017-0036-4 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Liu, Duan
Ho, Ming-Fen
Schaid, Daniel J.
Scherer, Steven E.
Kalari, Krishna
Liu, Mohan
Biernacka, Joanna
Yee, Vivien
Evans, Jared
Carlson, Erin
Goetz, Matthew P.
Kubo, Michiaki
Wickerham, D. Lawrence
Wang, Liewei
Ingle, James N.
Weinshilboum, Richard M.
Breast cancer chemoprevention pharmacogenomics: Deep sequencing and functional genomics of the ZNF423 and CTSO genes
title Breast cancer chemoprevention pharmacogenomics: Deep sequencing and functional genomics of the ZNF423 and CTSO genes
title_full Breast cancer chemoprevention pharmacogenomics: Deep sequencing and functional genomics of the ZNF423 and CTSO genes
title_fullStr Breast cancer chemoprevention pharmacogenomics: Deep sequencing and functional genomics of the ZNF423 and CTSO genes
title_full_unstemmed Breast cancer chemoprevention pharmacogenomics: Deep sequencing and functional genomics of the ZNF423 and CTSO genes
title_short Breast cancer chemoprevention pharmacogenomics: Deep sequencing and functional genomics of the ZNF423 and CTSO genes
title_sort breast cancer chemoprevention pharmacogenomics: deep sequencing and functional genomics of the znf423 and ctso genes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5566425/
https://www.ncbi.nlm.nih.gov/pubmed/28856246
http://dx.doi.org/10.1038/s41523-017-0036-4
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