Literature DB >> 29315564

Circulating anti-Müllerian hormone and breast cancer risk: A study in ten prospective cohorts.

Wenzhen Ge1, Tess V Clendenen1, Yelena Afanasyeva1, Karen L Koenig1, Claudia Agnoli2, Louise A Brinton3, Joanne F Dorgan4, A Heather Eliassen5, Roni T Falk3, Göran Hallmans6, Susan E Hankinson5,7, Judith Hoffman-Bolton8, Timothy J Key9, Vittorio Krogh2, Hazel B Nichols10, Dale P Sandler11, Minouk J Schoemaker12, Patrick M Sluss13, Malin Sund14, Anthony J Swerdlow12,15, Kala Visvanathan8,16, Mengling Liu1,17, Anne Zeleniuch-Jacquotte1,17.   

Abstract

A strong positive association has been observed between circulating anti-Müllerian hormone (AMH), a biomarker of ovarian reserve, and breast cancer risk in three prospective studies. Confirming this association is important because of the paucity of biomarkers of breast cancer risk in premenopausal women. We conducted a consortium study including ten prospective cohorts that had collected blood from premenopausal women. A nested case-control design was implemented within each cohort. A total of 2,835 invasive (80%) and in situ (20%) breast cancer cases were individually matched to controls (n = 3,122) on age at blood donation. AMH was measured using a high sensitivity enzyme-linked immunoabsorbent assay. Conditional logistic regression was applied to the aggregated dataset. There was a statistically significant trend of increasing breast cancer risk with increasing AMH concentration (ptrend across quartiles <0.0001) after adjusting for breast cancer risk factors. The odds ratio (OR) for breast cancer in the top vs. bottom quartile of AMH was 1.60 (95% CI = 1.31-1.94). Though the test for interaction was not statistically significant (pinteraction  = 0.15), the trend was statistically significant only for tumors positive for both estrogen receptor (ER) and progesterone receptor (PR): ER+/PR+: ORQ4-Q1  = 1.96, 95% CI = 1.46-2.64, ptrend <0.0001; ER+/PR-: ORQ4-Q1  = 0.82, 95% CI = 0.40-1.68, ptrend  = 0.51; ER-/PR+: ORQ4-Q1  = 3.23, 95% CI = 0.48-21.9, ptrend  = 0.26; ER-/PR-: ORQ4-Q1  = 1.15, 95% CI = 0.63-2.09, ptrend  = 0.60. The association was observed for both pre- (ORQ4-Q1 = 1.35, 95% CI = 1.05-1.73) and post-menopausal (ORQ4-Q1  = 1.61, 95% CI = 1.03-2.53) breast cancer (pinteraction  = 0.34). In this large consortium study, we confirmed that AMH is associated with breast cancer risk, with a 60% increase in risk for women in the top vs. bottom quartile of AMH.
© 2018 UICC.

Entities:  

Keywords:  AMH; anti-Müllerian hormone; breast cancer; nested case-control study

Mesh:

Substances:

Year:  2018        PMID: 29315564      PMCID: PMC5922424          DOI: 10.1002/ijc.31249

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  56 in total

1.  Flexible regression models with cubic splines.

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2.  High reproducibility of serum anti-Mullerian hormone measurements suggests a multi-staged follicular secretion and strengthens its role in the assessment of ovarian follicular status.

Authors:  Renato Fanchin; Joëlle Taieb; Daniel H Mendèz Lozano; Béatrice Ducot; René Frydman; Jean Bouyer
Journal:  Hum Reprod       Date:  2005-01-07       Impact factor: 6.918

3.  Hormone dependency of breast tumours developing in the Guernsey Cohort study.

Authors:  I S Fentiman; A Hanby; D S Allen; T Key; E N Meilahn
Journal:  Breast Cancer Res Treat       Date:  2005-12-02       Impact factor: 4.872

4.  Estrogen receptor (ER) mRNA expression and molecular subtype distribution in ER-negative/progesterone receptor-positive breast cancers.

Authors:  Mitsuya Itoh; Takayuki Iwamoto; Junji Matsuoka; Tomohiro Nogami; Takayuki Motoki; Tadahiko Shien; Naruto Taira; Naoki Niikura; Naoki Hayashi; Shoichiro Ohtani; Kenji Higaki; Toshiyoshi Fujiwara; Hiroyoshi Doihara; W Fraser Symmans; Lajos Pusztai
Journal:  Breast Cancer Res Treat       Date:  2013-12-15       Impact factor: 4.872

5.  Predicting age at menopause from serum antimüllerian hormone concentration.

Authors:  Fahimeh Ramezani Tehrani; Nezhat Shakeri; Masoud Solaymani-Dodaran; Fereidoun Azizi
Journal:  Menopause       Date:  2011-07       Impact factor: 2.953

6.  Alcohol dehydrogenase genetic polymorphisms, low-to-moderate alcohol consumption, and risk of breast cancer.

Authors:  Kala Visvanathan; Rosa M Crum; Paul T Strickland; Xiaojun You; Ingo Ruczinski; Sonja I Berndt; Anthony J Alberg; Sandra C Hoffman; George W Comstock; Douglas A Bell; Kathy J Helzlsouer
Journal:  Alcohol Clin Exp Res       Date:  2007-03       Impact factor: 3.455

7.  Impact of breast cancer on anti-mullerian hormone levels in young women.

Authors:  H I Su; S W Flatt; L Natarajan; A DeMichele; A Z Steiner
Journal:  Breast Cancer Res Treat       Date:  2012-12-09       Impact factor: 4.872

8.  Mullerian Inhibiting Substance induces NFkB signaling in breast and prostate cancer cells.

Authors:  Yasunori Hoshiya; Vandana Gupta; Dorry L Segev; Makiko Hoshiya; Jennifer L Carey; Laura M Sasur; Trinh T Tran; Thanh U Ha; Shyamala Maheswaran
Journal:  Mol Cell Endocrinol       Date:  2003-12-15       Impact factor: 4.102

9.  Re-Appraisal of Estrogen Receptor Negative/Progesterone Receptor Positive (ER-/PR+) Breast Cancer Phenotype: True Subtype or Technical Artefact?

Authors:  Niamh M Foley; J M Coll; A J Lowery; S O Hynes; M J Kerin; M Sheehan; C Brodie; K J Sweeney
Journal:  Pathol Oncol Res       Date:  2017-09-11       Impact factor: 3.201

Review 10.  Minireview: Progesterone Regulation of Proliferation in the Normal Human Breast and in Breast Cancer: A Tale of Two Scenarios?

Authors:  Heidi N Hilton; J Dinny Graham; Christine L Clarke
Journal:  Mol Endocrinol       Date:  2015-08-12
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  15 in total

1.  Generalized mean residual life models for case-cohort and nested case-control studies.

Authors:  Peng Jin; Anne Zeleniuch-Jacquotte; Mengling Liu
Journal:  Lifetime Data Anal       Date:  2020-06-11       Impact factor: 1.588

2.  Genome-wide association study of anti-Müllerian hormone levels in pre-menopausal women of late reproductive age and relationship with genetic determinants of reproductive lifespan.

Authors:  Katherine S Ruth; Ana Luiza G Soares; Maria-Carolina Borges; A Heather Eliassen; Susan E Hankinson; Michael E Jones; Peter Kraft; Hazel B Nichols; Dale P Sandler; Minouk J Schoemaker; Jack A Taylor; Anne Zeleniuch-Jacquotte; Deborah A Lawlor; Anthony J Swerdlow; Anna Murray
Journal:  Hum Mol Genet       Date:  2019-04-15       Impact factor: 6.150

3.  Breast cancer risk coordinators: Artificial intelligence-based density measurement and Mullerian-inhibiting substance.

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Journal:  Ir J Med Sci       Date:  2022-10-13       Impact factor: 2.089

4.  Empirical evaluation of sub-cohort sampling designs for risk prediction modeling.

Authors:  Myeonggyun Lee; Anne Zeleniuch-Jacquotte; Mengling Liu
Journal:  J Appl Stat       Date:  2020-12-21       Impact factor: 1.416

Review 5.  The role of anti-Müllerian hormone (AMH) in ovarian disease and infertility.

Authors:  Jure Bedenk; Eda Vrtačnik-Bokal; Irma Virant-Klun
Journal:  J Assist Reprod Genet       Date:  2019-11-21       Impact factor: 3.412

6.  Authors' reply to: Anti-Müllerian hormone and breast cancer risk: is the correlation possibly associated with PCOS.

Authors:  Tess V Clendenen; Joanne Dorgan; Anne Zeleniuch-Jacquotte
Journal:  Int J Cancer       Date:  2018-10-26       Impact factor: 7.396

7.  Genetic variants in anti-Müllerian hormone-related genes and breast cancer risk: results from the AMBER consortium.

Authors:  Hazel B Nichols; Mariaelisa Graff; Jeannette T Bensen; Kathryn L Lunetta; Katie M O'Brien; Melissa A Troester; Lindsay A Williams; Kristin Young; Chi-Chen Hong; Song Yao; Christopher A Haiman; Edward A Ruiz-Narváez; Christine B Ambrosone; Julie R Palmer; Andrew F Olshan
Journal:  Breast Cancer Res Treat       Date:  2020-09-22       Impact factor: 4.872

Review 8.  Cancer Progress and Priorities: Breast Cancer.

Authors:  Serena C Houghton; Susan E Hankinson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2021-05       Impact factor: 4.090

9.  Breast cancer risk prediction in women aged 35-50 years: impact of including sex hormone concentrations in the Gail model.

Authors:  Tess V Clendenen; Wenzhen Ge; Karen L Koenig; Yelena Afanasyeva; Claudia Agnoli; Louise A Brinton; Farbod Darvishian; Joanne F Dorgan; A Heather Eliassen; Roni T Falk; Göran Hallmans; Susan E Hankinson; Judith Hoffman-Bolton; Timothy J Key; Vittorio Krogh; Hazel B Nichols; Dale P Sandler; Minouk J Schoemaker; Patrick M Sluss; Malin Sund; Anthony J Swerdlow; Kala Visvanathan; Anne Zeleniuch-Jacquotte; Mengling Liu
Journal:  Breast Cancer Res       Date:  2019-03-19       Impact factor: 6.466

10.  Breast Cancer Risk Factors and Circulating Anti-Müllerian Hormone Concentration in Healthy Premenopausal Women.

Authors:  Tess V Clendenen; Wenzhen Ge; Karen L Koenig; Yelena Afanasyeva; Claudia Agnoli; Elizabeth Bertone-Johnson; Louise A Brinton; Farbod Darvishian; Joanne F Dorgan; A Heather Eliassen; Roni T Falk; Göran Hallmans; Susan E Hankinson; Judith Hoffman-Bolton; Timothy J Key; Vittorio Krogh; Hazel B Nichols; Dale P Sandler; Minouk J Schoemaker; Patrick M Sluss; Malin Sund; Anthony J Swerdlow; Kala Visvanathan; Mengling Liu; Anne Zeleniuch-Jacquotte
Journal:  J Clin Endocrinol Metab       Date:  2021-10-21       Impact factor: 6.134

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