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Published in: Breast Cancer Research and Treatment 3/2016

01-08-2016 | Brief Report

Relationship of ZNF423 and CTSO with breast cancer risk in two randomised tamoxifen prevention trials

Authors: Adam R. Brentnall, Jack Cuzick, Helen Byers, Corrinne Segal, Caroline Reuter, Simone Detre, Ivana Sestak, Anthony Howell, Trevor J. Powles, William G. Newman, Mitchell Dowsett

Published in: Breast Cancer Research and Treatment | Issue 3/2016

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Abstract

A case–control study from two randomised breast cancer prevention trials of tamoxifen and raloxifene (P-1 and P-2) identified single-nucleotide polymorphisms (SNPs) in or near genes ZNF423 and CTSO as factors which predict which women will derive most anti-cancer benefit from selective oestrogen receptor modulator (SERM) therapy. In this article, we further examine this question using blood samples from two randomised tamoxifen prevention trials: the International Breast Cancer Intervention Study I (IBIS-I) and the Royal Marsden trial (Marsden). A nested case–control study was designed with 2:1 matching in IBIS-I and 1:1 matching in Marsden. The OncoArray was used for genotyping and included two SNPs previously identified (rs8060157 in ZNF423 and rs10030044 near CTSO), and 102 further SNPs within the same regions. Overall, there were 369 cases and 662 controls, with 148 cases and 268 controls from the tamoxifen arms. Odds ratios were estimated by conditional logistic regression, with Wald 95 % confidence intervals. In the tamoxifen arms, the per-allele odds ratio for rs8060157 was 0.99 (95 %CI 0.73–1.34) and 1.00 (95 %CI 0.76–1.33) for rs10030044. In the placebo arm, the odds ratio was 1.10 (95 %CI 0.87–1.40) for rs8060157 and 1.01 (95 %CI 0.79–1.29) for rs10030044. There was no evidence to suggest that other SNPs in the surrounding regions of these SNPs might predict response to tamoxifen. Results from these two prevention trials do not support the earlier findings. rs8060157 in ZNF423 and rs10030044 near CTSO do not appear to predict response to tamoxifen.
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Literature
1.
go back to reference Ferlay J, Soerjomataram I, Ervik M, Dikshit R, Eser S, Mathers C, et al. (2012) GLOBOCAN v1.0, Cancer incidence and mortality worldwide: IARC cancerbase No. 11 [Internet]. 2013. Lyon, France: International Agency for Research on Cancer. http://globocan.iarc.fr, accessed 21 April 2016 Ferlay J, Soerjomataram I, Ervik M, Dikshit R, Eser S, Mathers C, et al. (2012) GLOBOCAN v1.0, Cancer incidence and mortality worldwide: IARC cancerbase No. 11 [Internet]. 2013. Lyon, France: International Agency for Research on Cancer. http://​globocan.​iarc.​fr, accessed 21 April 2016
2.
go back to reference Cuzick J, Sestak I, Bonanni B, Costantino JP, Cummings S, DeCensi A et al (2013) Selective oestrogen receptor modulators in prevention of breast cancer: an updated meta-analysis of individual participant data. Lancet 381:1827–1834CrossRefPubMedPubMedCentral Cuzick J, Sestak I, Bonanni B, Costantino JP, Cummings S, DeCensi A et al (2013) Selective oestrogen receptor modulators in prevention of breast cancer: an updated meta-analysis of individual participant data. Lancet 381:1827–1834CrossRefPubMedPubMedCentral
3.
go back to reference Donnelly LS, Evans DG, Wiseman J, Fox J, Greenhalgh R, Affen J et al (2014) Uptake of tamoxifen in consecutive premenopausal women under surveillance in a high-risk breast cancer clinic. Brit J Cancer 110:1681–1687CrossRefPubMedPubMedCentral Donnelly LS, Evans DG, Wiseman J, Fox J, Greenhalgh R, Affen J et al (2014) Uptake of tamoxifen in consecutive premenopausal women under surveillance in a high-risk breast cancer clinic. Brit J Cancer 110:1681–1687CrossRefPubMedPubMedCentral
4.
go back to reference Ingle JN, Liu M, Wickerham DL, Schaid DJ, Wang L, Mushiroda T et al (2013) Selective estrogen receptor modulators and pharmacogenomic variation in ZNF423 regulation of BRCA1 expression: individualized breast cancer prevention. Cancer Discov 3:812–825CrossRefPubMedPubMedCentral Ingle JN, Liu M, Wickerham DL, Schaid DJ, Wang L, Mushiroda T et al (2013) Selective estrogen receptor modulators and pharmacogenomic variation in ZNF423 regulation of BRCA1 expression: individualized breast cancer prevention. Cancer Discov 3:812–825CrossRefPubMedPubMedCentral
5.
go back to reference Fisher B, Costantino JP, Wickerham DL, Redmond CK, Kavanah M, Cronin WM et al (1998) Tamoxifen for prevention of breast cancer: report of the national surgical adjuvant breast and bowel project p-1 study. J Natl Cancer Inst 90:1371–1388CrossRefPubMed Fisher B, Costantino JP, Wickerham DL, Redmond CK, Kavanah M, Cronin WM et al (1998) Tamoxifen for prevention of breast cancer: report of the national surgical adjuvant breast and bowel project p-1 study. J Natl Cancer Inst 90:1371–1388CrossRefPubMed
6.
go back to reference Vogel VG, Costantino JP, Wickerham DL, Cronin WM, Cecchini RS, Atkins JN et al (2006) Effects of tamoxifen vs raloxifene on the risk of developing invasive breast cancer and other disease outcomes: the NSABP study of tamoxifen and raloxifene (STAR) P-2 trial. JAMA—J Am Med Assoc 295:2727–2741CrossRef Vogel VG, Costantino JP, Wickerham DL, Cronin WM, Cecchini RS, Atkins JN et al (2006) Effects of tamoxifen vs raloxifene on the risk of developing invasive breast cancer and other disease outcomes: the NSABP study of tamoxifen and raloxifene (STAR) P-2 trial. JAMA—J Am Med Assoc 295:2727–2741CrossRef
7.
go back to reference Cuzick J, Forbes J, Edwards R, Baum M, Cawthorn S, Coates A et al (2002) First results from the international breast cancer intervention study (IBIS-I): a randomised prevention trial. Lancet 360:817–824CrossRefPubMed Cuzick J, Forbes J, Edwards R, Baum M, Cawthorn S, Coates A et al (2002) First results from the international breast cancer intervention study (IBIS-I): a randomised prevention trial. Lancet 360:817–824CrossRefPubMed
8.
go back to reference Powles TJ, Ashley S, Tidy A, Smith IE, Dowsett M (2007) Twenty-year follow-up of the Royal Marsden randomized, double-blinded tamoxifen breast cancer prevention trial. J Natl Cancer Inst 99:283–290CrossRefPubMed Powles TJ, Ashley S, Tidy A, Smith IE, Dowsett M (2007) Twenty-year follow-up of the Royal Marsden randomized, double-blinded tamoxifen breast cancer prevention trial. J Natl Cancer Inst 99:283–290CrossRefPubMed
9.
go back to reference Cuzick J, Sestak I, Cawthorn S, Hamed H, Holli K, Howell A et al (2015) Tamoxifen for prevention of breast cancer: extended long-term follow-up of the IBIS-I breast cancer prevention trial. Lancet Oncol 16:67–75CrossRefPubMedPubMedCentral Cuzick J, Sestak I, Cawthorn S, Hamed H, Holli K, Howell A et al (2015) Tamoxifen for prevention of breast cancer: extended long-term follow-up of the IBIS-I breast cancer prevention trial. Lancet Oncol 16:67–75CrossRefPubMedPubMedCentral
10.
go back to reference Cuzick J, Warwick J, Pinney E, Duffy SW, Cawthorn S, Howell A et al (2011) Tamoxifen-induced reduction in mammographic density and breast cancer risk reduction: a nested case-control study. J Natl Cancer Inst 103:744–752CrossRefPubMed Cuzick J, Warwick J, Pinney E, Duffy SW, Cawthorn S, Howell A et al (2011) Tamoxifen-induced reduction in mammographic density and breast cancer risk reduction: a nested case-control study. J Natl Cancer Inst 103:744–752CrossRefPubMed
11.
go back to reference Tyrer J, Duffy SW, Cuzick J (2004) A breast cancer prediction model incorporating familial and personal risk factors. Statist Med 23:1111–1130CrossRef Tyrer J, Duffy SW, Cuzick J (2004) A breast cancer prediction model incorporating familial and personal risk factors. Statist Med 23:1111–1130CrossRef
12.
go back to reference Core Team R.(2012): A language and environment for statistical computing. R foundation for statistical computing Vienna. ISBN 3-900051-07-0 Core Team R.(2012): A language and environment for statistical computing. R foundation for statistical computing Vienna. ISBN 3-900051-07-0
Metadata
Title
Relationship of ZNF423 and CTSO with breast cancer risk in two randomised tamoxifen prevention trials
Authors
Adam R. Brentnall
Jack Cuzick
Helen Byers
Corrinne Segal
Caroline Reuter
Simone Detre
Ivana Sestak
Anthony Howell
Trevor J. Powles
William G. Newman
Mitchell Dowsett
Publication date
01-08-2016
Publisher
Springer US
Published in
Breast Cancer Research and Treatment / Issue 3/2016
Print ISSN: 0167-6806
Electronic ISSN: 1573-7217
DOI
https://doi.org/10.1007/s10549-016-3885-x

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