Projects per year
Abstract
BACKGROUND: Breast cancer (BC) has the highest cancer incidence and mortality in women worldwide. Observational epidemiological studies suggest a positive association between testosterone, estradiol, dehydroepiandrosterone sulphate (DHEAS) and other sex steroid hormones with postmenopausal BC. We used a two-sample Mendelian randomization analysis to investigate this association.
METHODS: Genetic instruments for nine sex steroid hormones and sex hormone-binding globulin (SHBG) were obtained from genome-wide association studies (GWAS) of UK Biobank (total testosterone (TT) N: 230,454, bioavailable testosterone (BT) N: 188,507 and SHBG N: 189,473), The United Kingdom Household Longitudinal Study (DHEAS N: 9722), the LIFE-Adult and LIFE-Heart cohorts (estradiol N: 2607, androstenedione N: 711, aldosterone N: 685, progesterone N: 1259 and 17-hydroxyprogesterone N: 711) and the CORtisol NETwork (CORNET) consortium (cortisol N: 25,314). Outcome GWAS summary statistics were obtained from the Breast Cancer Association Consortium (BCAC) for overall BC risk (N: 122,977 cases and 105,974 controls) and subtype-specific analyses.
RESULTS: We found that a standard deviation (SD) increase in TT, BT and estradiol increased the risk of overall BC (OR 1.14, 95% CI 1.09-1.21, OR 1.19, 95% CI 1.07-1.33 and OR 1.03, 95% CI 1.01-1.06, respectively) and ER + BC (OR 1.19, 95% CI 1.12-1.27, OR 1.25, 95% CI 1.11-1.40 and OR 1.06, 95% CI 1.03-1.09, respectively). An SD increase in DHEAS also increased ER + BC risk (OR 1.09, 95% CI 1.03-1.16). Subtype-specific analyses showed similar associations with ER+ expressing subtypes: luminal A-like BC, luminal B-like BC and luminal B/HER2-negative-like BC.
CONCLUSIONS: TT, BT, DHEAS and estradiol increase the risk of ER+ type BCs similar to observational studies. Understanding the role of sex steroid hormones in BC risk, particularly subtype-specific risks, highlights the potential importance of attempts to modify and/or monitor hormone levels in order to prevent BC.
Original language | English |
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Article number | 66 |
Journal | Breast Cancer Research |
Volume | 24 |
Issue number | 1 |
DOIs | |
Publication status | Published - 8 Oct 2022 |
Bibliographical note
Funding Information:AN and CLR were funded by Cancer Research UK (C18281/A29019, CLR). RCR is a de Pass Vice Chancellor Research Fellow at the University of Bristol. AN and SK are currently supported by a UK Research and Innovation Future Leaders Fellowship (UKRI FLF) to SK (MR/T043202/1).
Publisher Copyright:
© 2022, The Author(s).
Research Groups and Themes
- ICEP
Keywords
- 17-alpha-Hydroxyprogesterone
- Adult
- Aldosterone
- Androstenedione
- Breast Neoplasms/epidemiology
- Dehydroepiandrosterone Sulfate
- Estradiol
- Female
- Genome-Wide Association Study
- Gonadal Steroid Hormones
- Humans
- Hydrocortisone
- Longitudinal Studies
- Mendelian Randomization Analysis
- Progesterone
- Sex Hormone-Binding Globulin
- Testosterone
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- 1 Active
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8074 (C18281/A29019) ICEP2 - Programme Award: Towards improved casual evidence and enhanced prediction of cancer risk and survival
Martin, R. M. (Principal Investigator)
1/10/20 → 30/09/25
Project: Research
Datasets
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Additional file 1 of Sex steroid hormones and risk of breast cancer: a two-sample Mendelian randomization study
Nounu, A. (Creator), Kar, S. P. (Creator), Relton, C. L. (Creator) & Richmond, R. C. (Creator), figshare, 10 Oct 2022
DOI: 10.6084/m9.figshare.21303008, https://springernature.figshare.com/articles/dataset/Additional_file_1_of_Sex_steroid_hormones_and_risk_of_breast_cancer_a_two-sample_Mendelian_randomization_study/21303008
Dataset
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Additional file 1 of Sex steroid hormones and risk of breast cancer: a two-sample Mendelian randomization study, Version 1
Nounu, A. (Creator), Kar, S. P. (Creator), Relton, C. L. (Creator) & Richmond, R. C. (Creator), figshare, 10 Oct 2022
DOI: 10.6084/m9.figshare.21303008.v1, https://springernature.figshare.com/articles/dataset/Additional_file_1_of_Sex_steroid_hormones_and_risk_of_breast_cancer_a_two-sample_Mendelian_randomization_study/21303008/1
Dataset