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Clendenen TV, Ge W, Koenig KL, Afanasyeva Y, Agnoli C, Bertone-Johnson E, Brinton LA, Darvishian F, Dorgan JF, Eliassen AH, Falk RT, Hallmans G, Hankinson SE, Hoffman-Bolton J, Key TJ, Krogh V, Nichols HB, Sandler DP, Schoemaker MJ, Sluss PM, Sund M, Swerdlow AJ, Visvanathan K, Liu M, Zeleniuch-Jacquotte A. Breast Cancer Risk Factors and Circulating Anti-Müllerian Hormone Concentration in Healthy Premenopausal Women. J Clin Endocrinol Metab 2021; 106:e4542-e4553. [PMID: 34157104 PMCID: PMC8530718 DOI: 10.1210/clinem/dgab461] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT We previously reported that anti-Müllerian hormone (AMH), a marker of ovarian reserve, is positively associated with breast cancer risk, consistent with other studies. OBJECTIVE This study assessed whether risk factors for breast cancer are correlates of AMH concentration. METHODS This cross-sectional study included 3831 healthy premenopausal women (aged 21-57, 87% aged 35-49) from 10 cohort studies among the general population. RESULTS Adjusting for age and cohort, AMH positively associated with age at menarche (P < 0.0001) and parity (P = 0.0008) and inversely associated with hysterectomy/partial oophorectomy (P = 0.0008). Compared with women of normal weight, AMH was lower (relative geometric mean difference 27%, P < 0.0001) among women who were obese. Current oral contraceptive (OC) use and current/former smoking were associated with lower AMH concentration than never use (40% and 12% lower, respectively, P < 0.0001). We observed higher AMH concentrations among women who had had a benign breast biopsy (15% higher, P = 0.03), a surrogate for benign breast disease, an association that has not been reported. In analyses stratified by age (<40 vs ≥40), associations of AMH with body mass index and OCs were similar in younger and older women, while associations with the other factors (menarche, parity, hysterectomy/partial oophorectomy, smoking, and benign breast biopsy) were limited to women ≥40 (P-interaction < 0.05). CONCLUSION This is the largest study of AMH and breast cancer risk factors among women from the general population (not presenting with infertility), and it suggests that most associations are limited to women over 40, who are approaching menopause and whose AMH concentration is declining.
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Affiliation(s)
- Tess V Clendenen
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Wenzhen Ge
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Karen L Koenig
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Yelena Afanasyeva
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS - Istituto Nazionale dei Tumori, Milan, Italy
| | - Elizabeth Bertone-Johnson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, USA
| | - Louise A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Farbod Darvishian
- Pathology, New York University School of Medicine, New York, NY, USA
- Perlmutter Cancer Center, New York University School of Medicine, New York, NY, USA
| | - Joanne F Dorgan
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - A Heather Eliassen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, and Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Roni T Falk
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Göran Hallmans
- Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, and Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Judith Hoffman-Bolton
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS - Istituto Nazionale dei Tumori, Milan, Italy
| | - Hazel B Nichols
- Department of Epidemiology, University of North Carolina, Chapel Hill; NC, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Minouk J Schoemaker
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Patrick M Sluss
- Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Malin Sund
- Department of Surgery, Umeå University Hospital, Umeå, Sweden
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Sidney Kimmel Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Mengling Liu
- Department of Population Health, New York University School of Medicine, New York, NY, USA
- Perlmutter Cancer Center, New York University School of Medicine, New York, NY, USA
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health, New York University School of Medicine, New York, NY, USA
- Perlmutter Cancer Center, New York University School of Medicine, New York, NY, USA
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Effects of Vitamin D Supplementation on Surrogate Markers of Fertility in PCOS Women: A Randomized Controlled Trial. Nutrients 2021; 13:nu13020547. [PMID: 33562394 PMCID: PMC7914670 DOI: 10.3390/nu13020547] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 01/29/2021] [Accepted: 02/02/2021] [Indexed: 12/25/2022] Open
Abstract
Vitamin D (VD) might play an important role in polycystic ovary syndrome (PCOS) and female fertility. However, evidence from randomized controlled trials (RCT) is sparse. We examined VD effects on anti-Müllerian hormone (AMH) and other endocrine markers in PCOS and non-PCOS women. This is a post hoc analysis of a single-center, double-blind RCT conducted between December 2011 and October 2017 at the endocrine outpatient clinic at the Medical University of Graz, Austria. We included 180 PCOS women and 150 non-PCOS women with serum 25-hydroxyvitamin D (25(OH)D) concentrations <75 nmol/L in the trial. We randomized subjects to receive 20,000 IU of VD3/week (119 PCOS, 99 non-PCOS women) or placebo (61 PCOS, 51 non-PCOS women) for 24 weeks. Outcome measures were AMH, follicle-stimulating hormone (FSH), luteinizing hormone (LH), estradiol, dehydroepiandrosterone sulfate, and androstenedione. In PCOS women, we observed a significant treatment effect on FSH (mean treatment effect 0.94, 95% confidence interval [CI] 0.087 to 1.799, p = 0.031) and LH/FSH ratio (mean treatment effect −0.335, 95% CI −0.621 to 0.050, p = 0.022), whereas no significant effect was observed in non-PCOS women. In PCOS women, VD treatment for 24 weeks had a significant effect on FSH and LH/FSH ratio but no effect on AMH levels.
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Tiegs AW, Sun L, Scott RT, Goodman LR. Comparison of pregnancy outcomes following intrauterine insemination in young women with decreased versus normal ovarian reserve. Fertil Steril 2020; 113:788-796.e4. [DOI: 10.1016/j.fertnstert.2019.12.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 11/08/2019] [Accepted: 12/02/2019] [Indexed: 10/24/2022]
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Irvin SR, Weiderpass E, Stanczyk FZ, Brinton LA, Trabert B, Langseth H, Wentzensen N. Association of Anti-Mullerian Hormone, Follicle-Stimulating Hormone, and Inhibin B with Risk of Ovarian Cancer in the Janus Serum Bank. Cancer Epidemiol Biomarkers Prev 2020; 29:636-642. [PMID: 31932414 PMCID: PMC7060092 DOI: 10.1158/1055-9965.epi-19-0675] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Revised: 09/05/2019] [Accepted: 12/18/2019] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Reproductive factors, including parity, breastfeeding, and contraceptive use, affect lifetime ovulatory cycles and cumulative exposure to gonadotropins and are associated with ovarian cancer. To understand the role of ovulation-regulating hormones in the etiology of ovarian cancer, we prospectively analyzed the association of anti-Mullerian hormone (AMH), follicle-stimulating hormone (FSH), and inhibin B with ovarian cancer risk. METHODS Our study included 370 women from the Janus Serum Bank, including 54 type I and 82 type II invasive epithelial ovarian cancers, 49 borderline tumors, and 185 age-matched controls. We used conditional logistic regression to assess the relationship between hormones and risk of ovarian cancer overall and by subtype (types I and II). RESULTS Inhibin B was associated with increased risk of ovarian cancer overall [OR, 1.97; 95% confidence interval (CI), 1.14-3.39; P trend = 0.05] and with type I ovarian (OR, 3.10; 95% CI, 1.04-9.23; P trend = 0.06). FSH was not associated with ovarian cancer risk overall, but higher FSH was associated with type II ovarian cancers (OR, 2.78; 95% CI, 1.05-7.38). AMH was not associated with ovarian cancer risk. CONCLUSIONS FSH and inhibin B may be associated with increased risk in different ovarian cancer subtypes, suggesting that gonadotropin exposure may influence risk of ovarian cancer differently across subtypes. IMPACT Associations between prospectively collected AMH, FSH, and inhibin B levels with risk of ovarian cancer provide novel insight on the influence of premenopausal markers of ovarian reserve and gonadotropin signaling. Heterogeneity of inhibin B and FSH effects in different tumor types may be informative of tumor etiology.
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Affiliation(s)
- Sarah R Irvin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Frank Z Stanczyk
- University of Southern California Keck School of Medicine, Los Angeles, California
| | - Louise A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Britton Trabert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Hilde Langseth
- Department of Research, Cancer Registry of Norway, Oslo, Norway
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
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5
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Clendenen TV, Ge W, Koenig KL, Afanasyeva Y, Agnoli C, Brinton LA, Darvishian F, Dorgan JF, Eliassen AH, Falk RT, Hallmans G, Hankinson SE, Hoffman-Bolton J, Key TJ, Krogh V, Nichols HB, Sandler DP, Schoemaker MJ, Sluss PM, Sund M, Swerdlow AJ, Visvanathan K, Zeleniuch-Jacquotte A, Liu M. Breast cancer risk prediction in women aged 35-50 years: impact of including sex hormone concentrations in the Gail model. Breast Cancer Res 2019; 21:42. [PMID: 30890167 PMCID: PMC6425605 DOI: 10.1186/s13058-019-1126-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Accepted: 03/05/2019] [Indexed: 12/28/2022] Open
Abstract
Background Models that accurately predict risk of breast cancer are needed to help younger women make decisions about when to begin screening. Premenopausal concentrations of circulating anti-Müllerian hormone (AMH), a biomarker of ovarian reserve, and testosterone have been positively associated with breast cancer risk in prospective studies. We assessed whether adding AMH and/or testosterone to the Gail model improves its prediction performance for women aged 35–50. Methods In a nested case-control study including ten prospective cohorts (1762 invasive cases/1890 matched controls) with pre-diagnostic serum/plasma samples, we estimated relative risks (RR) for the biomarkers and Gail risk factors using conditional logistic regression and random-effects meta-analysis. Absolute risk models were developed using these RR estimates, attributable risk fractions calculated using the distributions of the risk factors in the cases from the consortium, and population-based incidence and mortality rates. The area under the receiver operating characteristic curve (AUC) was used to compare the discriminatory accuracy of the models with and without biomarkers. Results The AUC for invasive breast cancer including only the Gail risk factor variables was 55.3 (95% CI 53.4, 57.1). The AUC increased moderately with the addition of AMH (AUC 57.6, 95% CI 55.7, 59.5), testosterone (AUC 56.2, 95% CI 54.4, 58.1), or both (AUC 58.1, 95% CI 56.2, 59.9). The largest AUC improvement (4.0) was among women without a family history of breast cancer. Conclusions AMH and testosterone moderately increase the discriminatory accuracy of the Gail model among women aged 35–50. We observed the largest AUC increase for women without a family history of breast cancer, the group that would benefit most from improved risk prediction because early screening is already recommended for women with a family history. Electronic supplementary material The online version of this article (10.1186/s13058-019-1126-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Tess V Clendenen
- Department of Population Health, New York University School of Medicine, 650 First Avenue, New York, NY, 10016, USA
| | - Wenzhen Ge
- Department of Population Health, New York University School of Medicine, 650 First Avenue, New York, NY, 10016, USA
| | - Karen L Koenig
- Department of Population Health, New York University School of Medicine, 650 First Avenue, New York, NY, 10016, USA
| | - Yelena Afanasyeva
- Department of Population Health, New York University School of Medicine, 650 First Avenue, New York, NY, 10016, USA
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS - Istituto Nazionale dei Tumori, Milan, Italy
| | - Louise A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Farbod Darvishian
- Department of Pathology, New York University School of Medicine, New York, NY, USA.,Perlmutter Cancer Center, New York University School of Medicine, New York, NY, USA
| | - Joanne F Dorgan
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - A Heather Eliassen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, and Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Roni T Falk
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Göran Hallmans
- Department of Biobank Research, Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Susan E Hankinson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, and Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.,Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, USA
| | - Judith Hoffman-Bolton
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS - Istituto Nazionale dei Tumori, Milan, Italy
| | - Hazel B Nichols
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Minouk J Schoemaker
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.,Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Patrick M Sluss
- Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Malin Sund
- Department of Surgery, Umeå University Hospital, Umeå, Sweden
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Sidney Kimmel Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health, New York University School of Medicine, 650 First Avenue, New York, NY, 10016, USA.,Perlmutter Cancer Center, New York University School of Medicine, New York, NY, USA
| | - Mengling Liu
- Department of Population Health, New York University School of Medicine, 650 First Avenue, New York, NY, 10016, USA. .,Perlmutter Cancer Center, New York University School of Medicine, New York, NY, USA.
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6
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Ge W, Clendenen TV, Afanasyeva Y, Koenig KL, Agnoli C, Brinton LA, Dorgan JF, Eliassen AH, Falk RT, Hallmans G, Hankinson SE, Hoffman-Bolton J, Key TJ, Krogh V, Nichols HB, Sandler DP, Schoemaker MJ, Sluss PM, Sund M, Swerdlow AJ, Visvanathan K, Liu M, Zeleniuch-Jacquotte A. Circulating anti-Müllerian hormone and breast cancer risk: A study in ten prospective cohorts. Int J Cancer 2018; 142:2215-2226. [PMID: 29315564 PMCID: PMC5922424 DOI: 10.1002/ijc.31249] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Revised: 11/19/2017] [Accepted: 12/07/2017] [Indexed: 12/24/2022]
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.
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Affiliation(s)
- Wenzhen Ge
- Department of Population Health, New York University School of Medicine, New York, NY
| | - Tess V Clendenen
- Department of Population Health, New York University School of Medicine, New York, NY
| | - Yelena Afanasyeva
- Department of Population Health, New York University School of Medicine, New York, NY
| | - Karen L Koenig
- Department of Population Health, New York University School of Medicine, New York, NY
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS - Istituto Nazionale dei Tumori, Milan, Italy
| | - Louise A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Joanne F Dorgan
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD
| | - A Heather Eliassen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, and Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Roni T Falk
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Göran Hallmans
- Department of Biobank Research, Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Susan E Hankinson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, and Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA
| | - Judith Hoffman-Bolton
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS - Istituto Nazionale dei Tumori, Milan, Italy
| | - Hazel B Nichols
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC
| | - Minouk J Schoemaker
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
| | | | - Malin Sund
- Department of Surgery, Umeå University Hospital, Umeå, Sweden
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
- Division of Breast Cancer Research, The Institute of Cancer Research, London, United Kingdom
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- Sidney Kimmel Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD
| | - Mengling Liu
- Department of Population Health, New York University School of Medicine, New York, NY
- Perlmutter Cancer Center, New York University School of Medicine, New York, NY
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health, New York University School of Medicine, New York, NY
- Perlmutter Cancer Center, New York University School of Medicine, New York, NY
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7
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Jung S, Allen N, Arslan AA, Baglietto L, Barricarte A, Brinton LA, Egleston BL, Falk RT, Fortner RT, Helzlsouer KJ, Gao Y, Idahl A, Kaaks R, Krogh V, Merritt MA, Lundin E, Onland-Moret NC, Rinaldi S, Schock H, Shu XO, Sluss PM, Staats PN, Sacerdote C, Travis RC, Tjønneland A, Trichopoulou A, Tworoger SS, Visvanathan K, Weiderpass E, Zeleniuch-Jacquotte A, Dorgan JF. Anti-Müllerian hormone and risk of ovarian cancer in nine cohorts. Int J Cancer 2018; 142:262-270. [PMID: 28921520 PMCID: PMC5749630 DOI: 10.1002/ijc.31058] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Revised: 08/08/2017] [Accepted: 08/16/2017] [Indexed: 01/08/2023]
Abstract
Animal and experimental data suggest that anti-Müllerian hormone (AMH) serves as a marker of ovarian reserve and inhibits the growth of ovarian tumors. However, few epidemiologic studies have examined the association between AMH and ovarian cancer risk. We conducted a nested case-control study of 302 ovarian cancer cases and 336 matched controls from nine cohorts. Prediagnostic blood samples of premenopausal women were assayed for AMH using a picoAMH enzyme-linked immunosorbent assay. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using multivariable-adjusted conditional logistic regression. AMH concentration was not associated with overall ovarian cancer risk. The multivariable-adjusted OR (95% CI), comparing the highest to the lowest quartile of AMH, was 0.99 (0.59-1.67) (Ptrend : 0.91). The association did not differ by age at blood draw or oral contraceptive use (all Pheterogeneity : ≥0.26). There also was no evidence for heterogeneity of risk for tumors defined by histologic developmental pathway, stage, and grade, and by age at diagnosis and time between blood draw and diagnosis (all Pheterogeneity : ≥0.39). In conclusion, this analysis of mostly late premenopausal women from nine cohorts does not support the hypothesized inverse association between prediagnostic circulating levels of AMH and risk of ovarian cancer.
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Affiliation(s)
- Seungyoun Jung
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Naomi Allen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, UK
| | - Alan A. Arslan
- Department of Obstetrics and Gynecology, New York University School of Medicine, NY, USA
- Departments of Population Health and Environmental Medicine and Perlmutter Cancer Center, New York University School of Medicine, New York, NY, USA
| | - Laura Baglietto
- Cancer Epidemiology Centre, Cancer Council of Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, University of Melbourne, Australia
| | - Aurelio Barricarte
- Navarra Public Health Institute, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA) Pamplona, Spain
- CIBER Epidemiology and Public Health CIBERESP, Spain
| | - Louise A. Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, MD, USA
| | | | - Roni T. Falk
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, MD, USA
| | - Renée T. Fortner
- Division of Cancer Epidemiology, German Cancer Research Cancer, Heidelberg, Germany
| | - Kathy J. Helzlsouer
- Division of Cancer Control and Population Sciences, National Cancer Institute, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Yutang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Annika Idahl
- Department of Clinical Sciences, Obstetrics and Gynecology, Umeå University, Umeå, Sweden
| | - Rudolph Kaaks
- Division of Cancer Epidemiology, German Cancer Research Cancer, Heidelberg, Germany
| | - Vittorio Krogh
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Melissa A. Merritt
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Eva Lundin
- Department of Medical Biosciences, Pathology, and Public Health and Clinical Medicine: Nutritional Research, Umeå University, Umeå, Sweden
| | | | - Sabina Rinaldi
- International Agency for Research on Cancer, Lyon, France
| | - Helena Schock
- Division of Cancer Epidemiology, German Cancer Research Cancer, Heidelberg, Germany
| | - Xiao-Ou Shu
- Department of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Patrick M. Sluss
- Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Paul N. Staats
- Department of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Ruth C. Travis
- Cancer Epidemiology Unit, University of Oxford, Oxford United Kingdom
| | | | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Dept. of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Greece
| | - Shelley S. Tworoger
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Bringham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland
| | - Anne Zeleniuch-Jacquotte
- Departments of Population Health and Environmental Medicine and Perlmutter Cancer Center, New York University School of Medicine, New York, NY, USA
| | - Joanne F. Dorgan
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
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Fortner RT, Schock H, Jung S, Allen NE, Arslan AA, Brinton LA, Egleston BL, Falk RT, Gunter MJ, Helzlsouer KJ, Idahl A, Johnson TS, Kaaks R, Krogh V, Lundin E, Merritt MA, Navarro C, Onland-Moret NC, Palli D, Shu XO, Sluss PM, Staats PN, Trichopoulou A, Weiderpass E, Zeleniuch-Jacquotte A, Zheng W, Dorgan JF. Anti-Mullerian hormone and endometrial cancer: a multi-cohort study. Br J Cancer 2017; 117:1412-1418. [PMID: 28873086 PMCID: PMC5672934 DOI: 10.1038/bjc.2017.299] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Revised: 06/30/2017] [Accepted: 08/04/2017] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND The Mullerian ducts are the embryological precursors of the female reproductive tract, including the uterus; anti-Mullerian hormone (AMH) has a key role in the regulation of foetal sexual differentiation. Anti-Mullerian hormone inhibits endometrial tumour growth in experimental models by stimulating apoptosis and cell cycle arrest. To date, there are no prospective epidemiologic data on circulating AMH and endometrial cancer risk. METHODS We investigated this association among women premenopausal at blood collection in a multicohort study including participants from eight studies located in the United States, Europe, and China. We identified 329 endometrial cancer cases and 339 matched controls. Anti-Mullerian hormone concentrations in blood were quantified using an enzyme-linked immunosorbent assay. Conditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CI) across tertiles and for a doubling of AMH concentrations (ORlog2). Subgroup analyses were performed by ages at blood donation and diagnosis, oral contraceptive use, and tumour characteristics. RESULTS Anti-Mullerian hormone was not associated with the risk of endometrial cancer overall (ORlog2: 1.07 (0.99-1.17)), or with any of the examined subgroups. CONCLUSIONS Although experimental models implicate AMH in endometrial cancer growth inhibition, our findings do not support a role for circulating AMH in the aetiology of endometrial cancer.
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Affiliation(s)
- Renée T Fortner
- Division of Cancer Epidemiology, German Cancer Research Cancer, Heidelberg, Germany
| | - Helena Schock
- Division of Cancer Epidemiology, German Cancer Research Cancer, Heidelberg, Germany
| | - Seungyoun Jung
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Naomi E Allen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Alan A Arslan
- Department of Obstetrics and Gynecology, New York University School of Medicine, New York, NY, USA
- Departments of Population Health and Environmental Medicine, New York University School of Medicine, New York University Perlmutter Cancer Center, New York, NY, USA
| | - Louise A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | | | - Roni T Falk
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Marc J Gunter
- Nutrition and Metabolism Section, International Agency for Research on Cancer, Lyon, France
| | - Kathy J Helzlsouer
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA
| | - Annika Idahl
- Department of Clinical Sciences, Obstetrics and Gynecology, Umeå University, Umeå, Sweden
| | - Theron S Johnson
- Division of Cancer Epidemiology, German Cancer Research Cancer, Heidelberg, Germany
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Cancer, Heidelberg, Germany
| | - Vittorio Krogh
- Nutritional Epidemiology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Eva Lundin
- Department of Medical Biosciences and Pathology, Umeå University, Umeå, Sweden
| | - Melissa A Merritt
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Carmen Navarro
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Health and Social Sciences, Universidad de Murcia, Murcia, Spain
| | - N Charlotte Onland-Moret
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Cancer Research and Prevention Institute – ISPO, Florence, Italy
| | - Xiao-Ou Shu
- Department of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Patrick M Sluss
- Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Paul N Staats
- Department of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Elisabete Weiderpass
- Department of Research, Group of Etiological Cancer Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland
- Department of Community Medicine, The Arctic University of Norway, Tromsø, Norway
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health and Perlmutter Cancer Center, New York University School of Medicine, New York, NY, USA
| | - Wei Zheng
- Department of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Joanne F Dorgan
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
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Jung S, Allen N, Arslan AA, Baglietto L, Brinton LA, Egleston BL, Falk R, Fortner RT, Helzlsouer KJ, Idahl A, Kaaks R, Lundin E, Merritt M, Onland-Moret C, Rinaldi S, Sánchez MJ, Sieri S, Schock H, Shu XO, Sluss PM, Staats PN, Travis RC, Tjønneland A, Trichopoulou A, Tworoger S, Visvanathan K, Krogh V, Weiderpass E, Zeleniuch-Jacquotte A, Zheng W, Dorgan JF. Demographic, lifestyle, and other factors in relation to antimüllerian hormone levels in mostly late premenopausal women. Fertil Steril 2017; 107:1012-1022.e2. [PMID: 28366409 PMCID: PMC5426228 DOI: 10.1016/j.fertnstert.2017.02.105] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2016] [Revised: 02/09/2017] [Accepted: 02/20/2017] [Indexed: 01/09/2023]
Abstract
OBJECTIVE To identify reproductive, lifestyle, hormonal, and other correlates of circulating antimüllerian hormone (AMH) concentrations in mostly late premenopausal women. DESIGN Cross-sectional study. SETTING Not applicable. PATIENT(S) A total of 671 premenopausal women not known to have cancer. INTERVENTION(S) None. MAIN OUTCOME MEASURE(S) Concentrations of AMH were measured in a single laboratory using the picoAMH ELISA. Multivariable-adjusted median (and interquartile range) AMH concentrations were calculated using quantile regression for several potential correlates. RESULT(S) Older women had significantly lower AMH concentrations (≥40 [n = 444] vs. <35 years [n = 64], multivariable-adjusted median 0.73 ng/mL vs. 2.52 ng/mL). Concentrations of AMH were also significantly lower among women with earlier age at menarche (<12 [n = 96] vs. ≥14 years [n = 200]: 0.90 ng/mL vs. 1.12 ng/mL) and among current users of oral contraceptives (n = 27) compared with never or former users (n = 468) (0.36 ng/mL vs. 1.15 ng/mL). Race, body mass index, education, height, smoking status, parity, and menstrual cycle phase were not significantly associated with AMH concentrations. There were no significant associations between AMH concentrations and androgen or sex hormone-binding globulin concentrations or with factors related to blood collection (e.g., sample type, time, season, and year of blood collection). CONCLUSION(S) Among premenopausal women, lower AMH concentrations are associated with older age, a younger age at menarche, and currently using oral contraceptives, suggesting these factors are related to a lower number or decreased secretory activity of ovarian follicles.
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Affiliation(s)
- Seungyoun Jung
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland
| | - Naomi Allen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Alan A Arslan
- Department of Obstetrics and Gynecology, New York University School of Medicine, New York, New York; Departments of Population Health and Environmental Medicine and Perlmuttr Cancer Center, New York University School of Medicine, New York, New York
| | - Laura Baglietto
- Cancer Epidemiology Centre, Cancer Council of Victoria, Melbourne, Victoria, Australia; Centre for Epidemiology and Biostatistics, School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Louise A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | | | - Roni Falk
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Renée T Fortner
- Division of Cancer Epidemiology, German Cancer Research Cancer, Heidelberg, Germany
| | - Kathy J Helzlsouer
- Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Annika Idahl
- Department of Clinical Sciences, Obstetrics and Gynecology, Umeå University, Umeå, Sweden
| | - Rudolph Kaaks
- Division of Cancer Epidemiology, German Cancer Research Cancer, Heidelberg, Germany
| | - Eva Lundin
- Department of Medical Biosciences, Pathology, and Public Health and Clinical Medicine: Nutritional Research, Umeå University, Umeå, Sweden
| | - Melissa Merritt
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Charlotte Onland-Moret
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Sabina Rinaldi
- International Agency for Research on Cancer, Lyon, France
| | - María-José Sánchez
- Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs, GRANADA, Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Helena Schock
- Division of Cancer Epidemiology, German Cancer Research Cancer, Heidelberg, Germany
| | - Xiao-Ou Shu
- Department of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Patrick M Sluss
- Department of Pathology, Harvard Medical School, Boston, Massachusetts
| | - Paul N Staats
- Department of Pathology, University of Maryland School of Medicine, Baltimore, Maryland
| | - Ruth C Travis
- Cancer Epidemiology Unit, University of Oxford, Oxford, United Kingdom
| | | | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece; World Health Organization Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - Shelley Tworoger
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Baltimore, Maryland; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Vittorio Krogh
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway; Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland
| | - Anne Zeleniuch-Jacquotte
- Departments of Population Health and Environmental Medicine and Perlmuttr Cancer Center, New York University School of Medicine, New York, New York
| | - Wei Zheng
- Department of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Joanne F Dorgan
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland.
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Eliassen AH, Zeleniuch-Jacquotte A, Rosner B, Hankinson SE. Plasma Anti-Müllerian Hormone Concentrations and Risk of Breast Cancer among Premenopausal Women in the Nurses' Health Studies. Cancer Epidemiol Biomarkers Prev 2016; 25:854-60. [PMID: 26961996 DOI: 10.1158/1055-9965.epi-15-1240] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2015] [Accepted: 02/23/2016] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Anti-Müllerian hormone (AMH) is a member of the TGFβ family of growth and differentiation factors with a key role in regulating folliculogenesis. In experimental studies, using supraphysiologic concentrations, AMH inhibits breast cancer growth. However, high levels of AMH were associated with increased breast cancer risk in two prior prospective epidemiologic studies. METHODS We conducted a nested case-control study of premenopausal plasma AMH and breast cancer risk within the Nurses' Health Study (NHS) and NHSII. In NHS, 32,826 women donated blood samples in 1989-1990; in NHSII, 29,611 women donated samples in 1996-1999. After blood collection and before February 2004 (NHS) or July 2010 (NHSII), 539 cases were diagnosed among women premenopausal at diagnosis, and were matched 1:1 to controls. ORs and 95% confidence intervals (CI) were calculated using unconditional logistic regression, adjusting for matching and breast cancer risk factors. RESULTS Higher plasma levels of AMH were associated with increased breast cancer risk (top vs. bottom quintile multivariate OR, 2.20; 95% CI, 1.34-3.63; P trend = 0.001). The association did not vary by invasive versus in situ disease or by estrogen receptor status. Associations were not significantly different by age at blood or diagnosis. Further adjustment for plasma estradiol or testosterone yielded similar results. CONCLUSIONS Higher circulating AMH levels are associated with increased breast cancer risk among premenopausal women. IMPACT The significant positive association between premenopausal plasma AMH levels and subsequent breast cancer risk before menopause suggests AMH may be useful as a marker of breast cancer risk in younger women. Cancer Epidemiol Biomarkers Prev; 25(5); 854-60. ©2016 AACR.
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Affiliation(s)
- A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts. Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health and Perlmutter Cancer Center, New York University School of Medicine, New York, New York
| | - Bernard Rosner
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts. Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Susan E Hankinson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts. Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, Massachusetts
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11
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Färkkilä A, Koskela S, Bryk S, Alfthan H, Bützow R, Leminen A, Puistola U, Tapanainen JS, Heikinheimo M, Anttonen M, Unkila-Kallio L. The clinical utility of serum anti-Müllerian hormone in the follow-up of ovarian adult-type granulosa cell tumors--A comparative study with inhibin B. Int J Cancer 2015; 137:1661-71. [PMID: 25808251 DOI: 10.1002/ijc.29532] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2014] [Accepted: 03/09/2015] [Indexed: 11/10/2022]
Abstract
Ovarian adult-type granulosa cell tumors (AGCTs) require prolonged follow-up, but evidence regarding the optimal follow-up marker is lacking. The objective of our study was to validate the clinical usefulness of serum anti-Müllerian hormone (AMH) and the current marker inhibin B as single and combined markers of AGCTs. We conducted a longitudinal, partially prospective cohort study of 123 premenopausal and postmenopausal AGCT patients with a median follow-up time of 10.5 years (range 0.3-50.0 years). Serum AMH and inhibin B levels were measured from 560 pretreatment and follow-up serum samples by using immunoenzymometric assays. We found that serum AMH and inhibin B levels were significantly elevated in patients with primary or recurrent AGCTs. The levels of both markers positively correlated to tumor size (p < 0.05). AMH and inhibin B performed similarly in receiving operator characteristic analyses; area under the curve (AUC) values were 0.92 [95% confidence interval (CI) 0.88-0.95] for AMH, and 0.94 (95% CI 0.90-0.96) for inhibin B. AMH was highly sensitive (92%) and specific (81%) in detecting a macroscopic AGCT. However, in AUC comparison analyses, the combination of the markers was superior to inhibin B alone. In conclusion, serum AMH is a sensitive and specific marker of AGCT, and either AMH or inhibin B can be monitored during follow-up. However, combining AMH and inhibin B in AGCT patient follow-up improves the detection of recurrent disease.
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Affiliation(s)
- Anniina Färkkilä
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland.,Department of Pediatrics, University of Helsinki, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Sanna Koskela
- Department of Obstetrics and Gynecology, University of Oulu, Oulu University Hospital and Medical Research Center Oulu, Oulu, Finland
| | - Saara Bryk
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Henrik Alfthan
- Department of Clinical Chemistry, University of Helsinki and HUSlab, Helsinki University Central Hospital, Helsinki, Finland
| | - Ralf Bützow
- Department of Pathology, University of Helsinki and HUSlab, Helsinki University Central Hospital, Helsinki, Finland
| | - Arto Leminen
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Ulla Puistola
- Department of Obstetrics and Gynecology, University of Oulu, Oulu University Hospital and Medical Research Center Oulu, Oulu, Finland
| | - Juha S Tapanainen
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland.,Department of Obstetrics and Gynecology, University of Oulu, Oulu University Hospital and Medical Research Center Oulu, Oulu, Finland
| | - Markku Heikinheimo
- Department of Pediatrics, University of Helsinki, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland.,Department of Pediatrics, Washington University School of Medicine, St Louis Children's Hospital, St Louis, MO
| | - Mikko Anttonen
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Leila Unkila-Kallio
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
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Abstract
Purpose of review To provide an update on the latest clinical applications of serum antimüllerian hormone (AMH) testing with practical approaches to mitigate the impact of significant variability in AMH results. Recent findings Recent studies continue to demonstrate that AMH is the best single serum test for ovarian response management with, at most, a weak-to-moderate age-independent association with live-birth rate and time to conception. Data confirm serum AMH levels improve menopause prediction, monitoring of ovarian damage, and identification of women at risk for several ovary-related disorders such as polycystic ovary syndrome and premature or primary ovarian insufficiency. However, it is now recognized that serum AMH results can have dramatic variability due to common, biologic fluctuations within some individuals, use of hormonal contraceptives or other medications, certain surgical procedures, specimen treatment, assay changes, and laboratory calibration differences. Practical guidelines are provided to minimize the impact of variability in AMH results and maximize the accuracy of clinical decision-making. Summary AMH is an ovarian biomarker of central importance which improves the clinical management of women's health. However, with the simultaneous rapid expansion of AMH clinical applications and recognition of variability in AMH results, consensus regarding the clinical cutpoints is increasingly difficult. Therefore, a careful approach to AMH measurement and interpretation in clinical care is essential.
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Abstract
PURPOSE OF REVIEW Despite decades of evidence suggesting that women with rheumatoid arthritis (RA) have fewer children than their healthy peers, this information is not widely known among clinicians. The causes of decreased fertility in this population have been largely unexplored, but likely revolve around altered inflammation, increased age when conception is attempted, limited sexual function, and possibly medications limiting ovarian function. RECENT FINDINGS Several large Scandinavian cohorts and a cohort study in the United States demonstrate that women with RA have smaller families and are slower to conceive compared with other women. Personal choice to limit family size plays some role, as does infertility. Sexual function in women with RA is hampered by pain and fatigue, perhaps decreasing the opportunity for conception. Finally, data about the role of NSAIDs in preventing ovulation suggest that continued use of these medications may hinder conception. SUMMARY Infertility in women with RA is an under-recognized, but remarkably common phenomenon. Although research continues into the underlying causes, physicians can discuss this topic and refer women to reproductive endocrinology when needed, thereby helping patients to build the families that they desire.
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Rustamov O, Smith A, Roberts SA, Yates AP, Fitzgerald C, Krishnan M, Nardo LG, Pemberton PW. The measurement of anti-Müllerian hormone: a critical appraisal. J Clin Endocrinol Metab 2014; 99:723-32. [PMID: 24423305 DOI: 10.1210/jc.2013-3476] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
CONTEXT Measurement of anti-Müllerian hormone (AMH) is perceived as reliable, but the literature reveals discrepancies in reported within-subject variability and between-method conversion factors. Recent studies suggest that AMH may be prone to preanalytical instability. We therefore examined the published evidence on the performance of current and historic AMH assays in terms of the assessment of sample stability, within-patient variability, and comparability of the assay methods. EVIDENCE ACQUISITION We reviewed studies (manuscripts or abstracts) measuring AMH, published in peer-reviewed journals between January 1, 1990, and August 1, 2013, using appropriate PubMed/Medline searches. EVIDENCE SYNTHESIS AMH levels in specimens left at room temperature for varying periods increased by 20% in one study and by almost 60% in another, depending on duration and the AMH assay used. Even at -20°C, increased AMH concentrations were observed. An increase over expected values of 20-30% or 57%, respectively, was observed after 2-fold dilution in two linearity-of-dilution studies, but not in others. Several studies investigating within-cycle variability of AMH reported conflicting results, although most studies suggest that variability of AMH within the menstrual cycle appears to be small. However, between-sample variability without regard to menstrual cycle as well as within-sample variation appears to be higher using the GenII AMH assay than with previous assays, a fact now conceded by the kit manufacturer. Studies comparing first-generation AMH assays with each other and with the GenII assay reported widely varying differences. CONCLUSIONS AMH may exhibit assay-specific preanalytical instability. Robust protocols for the development and validation of commercial AMH assays are required.
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Affiliation(s)
- Oybek Rustamov
- Department of Reproductive Medicine (O.R., C.F.), St Mary's Hospital, Central Manchester University Hospital National Health Service (NHS) Foundation Trust, Manchester Academic Health Science Centre (MAHSC), Manchester M13 0JH, United Kingdom; Department of Clinical Biochemistry (A.S., A.P.Y., P.W.P.), Central Manchester University Hospitals NHS Foundation Trust, Manchester M13 9WL, United Kingdom; Centre for Biostatistics (S.A.R.), Institute of Population Health, MAHSC, University of Manchester, Manchester M13 9PL, United Kingdom; Manchester Royal Infirmary (M.K.), Central Manchester University Hospitals NHS Foundation Trust, Manchester M13 9WL, United Kingdom; and Reproductive Medicine and Gynecology Unit (L.G.N.), GyneHealth, Manchester M3 4DN, United Kingdom
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Anti-Mullerian hormone and risk of invasive serous ovarian cancer. Cancer Causes Control 2014; 25:583-9. [PMID: 24562905 DOI: 10.1007/s10552-014-0363-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2013] [Accepted: 02/14/2014] [Indexed: 10/25/2022]
Abstract
PURPOSE Epithelial ovarian cancers either arise directly from Mullerian-type epithelium or acquire Mullerian characteristics in the course of neoplastic transformation. The anti-Mullerian hormone (AMH) causes regression of Mullerian structures during fetal development in males and has been shown to inhibit the growth of epithelial ovarian cancer. Therefore, we hypothesized that pre-diagnostic serum concentrations of AMH are inversely associated with risk of invasive serous ovarian cancer. METHODS A case-control study (107 cases, 208 controls) was nested within the population-based Finnish Maternity Cohort (1986-2007). The sample donated during the first trimester of the last pregnancy preceding cancer diagnosis of the case subjects was selected for the study. For each case, two controls, matched on age and date at sampling, as well as parity at sampling and at cancer diagnosis were selected. AMH was measured by a second-generation AMH ELISA. Conditional logistic regression was used to compute odds ratios (OR) and 95 % confidence intervals (CI) for invasive serous ovarian cancer associated with AMH concentrations. RESULTS Overall AMH concentrations were not associated with risk of invasive serous ovarian cancer (OR 0.93; 95 % CI 0.49-1.77 for top vs. bottom tertile, P trend=0.83). In women older than the median age at sampling (32.7 years), a doubling of AMH was associated with decreased risk (OR 0.69; 95 % CI 0.49-0.96), whereas an increased risk (OR 1.64; 95 % CI 1.06-2.54) was observed in younger women, P homogeneity = 0.002. CONCLUSIONS In this first prospective investigation, risk of invasive serous ovarian cancer was not associated with pre-diagnostic AMH concentrations overall; however, the association may depend on age at AMH measurement.
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High frequency of discordance between antimüllerian hormone and follicle-stimulating hormone levels in serum from estradiol-confirmed days 2 to 4 of the menstrual cycle from 5,354 women in U.S. fertility centers. Fertil Steril 2012; 98:1037-42. [PMID: 22771028 DOI: 10.1016/j.fertnstert.2012.06.006] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2011] [Revised: 05/28/2012] [Accepted: 06/07/2012] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To determine the frequency of clinical discordance between antimüllerian hormone (AMH, ng/mL) and follicle-stimulating hormone (FSH, IU/L) by use of cut points defined by response to controlled ovarian stimulation in the same serum samples drawn on estradiol-confirmed, menstrual cycle days 2 to 4. DESIGN Retrospective analysis. SETTING Fertility centers in 30 U.S. states and a single reference laboratory with uniform testing protocols. PATIENT(S) 5,354 women, 20 to 45 years of age. INTERVENTION(S) None. MAIN OUTCOME MEASURE(S) Frequency of discordance between serum AMH and FSH values. RESULT(S) Of the 5,354 women tested, 1 in 5 had discordant AMH and FSH values defined as AMH <0.8 (concerning) with FSH <10 (reassuring) or AMH ≥ 0.8 (reassuring) with FSH ≥ 10 (concerning). Of the women with reassuring FSH values (n = 4,469), the concerning AMH values were found in 1 in 5 women in a highly age-dependent fashion, ranging from 1 in 11 women under 35 years of age to 1 in 3 women above 40 years of age. On the other hand, of the women with reassuring AMH values (n = 3,742), 1 in 18 had concerning FSH values, a frequency that did not vary in a statistically significant fashion by age. CONCLUSION(S) Clinical discordance in serum AMH and FSH values was frequent and age dependent using common clinical cut points, a large patient population, one reference laboratory, and uniform testing methodology. This conclusion is generalizable to women undergoing fertility evaluation, although AMH testing has not been standardized among laboratories, and the cut points presented are specific to the laboratory in this study.
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Parco S, Novelli C, Vascotto F, Princi T. Serum anti-Müllerian hormone as a predictive marker of polycystic ovarian syndrome. Int J Gen Med 2011; 4:759-63. [PMID: 22114521 PMCID: PMC3219763 DOI: 10.2147/ijgm.s25639] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background The anti-Müllerian hormone (AMH) is a dimeric protein secreted by the female ovaries and has two fundamental roles in follicle genesis. It delays the entrance of the primordial follicle into the pool of follicles in growth and diminishes the sensitivity of the ovarian follicle towards follicle-stimulating hormone (FSH). The purpose of this work was to study the AMH (nv 2.0–6.8 ng/mL) as a marker during assisted reproductive technology (ART), in order to identify cases of infertility due to polycystic ovarian syndrome (PCOS). This syndrome affects 10% of women with infertility problems, and a new biological marker could be useful to general practitioners of internal medicine to help generate the suspicion of PCOS so that they can refer the patient to the gynecologist for confirmation. Methods This study enrolled 236 patients aged 26–46 years undergoing assisted reproductive technology at the Institute for Maternal and Child Health, Trieste, Italy. On the third day of the ovarian cycle, the patients were given doses of AMH, FSH, and luteinizing hormone (LH, in cases of AMH < 2.0–6.8 ng/mL). A control pelvic ultrasound was also carried out. Results We identified 57 patients who were starting in vitro fertilization or embryo transfer with AMH values within the normal range (3.64 ± 1.51 ng/mL), 77 with values below normal (1.38 ± 0.32 ng/mL), and 96 cases with undetectable values of AMH. Six patients had very high AMH levels (10.0 ± 2.28 ng/mL) and, of these, five were found to have PCOS on pelvic ultrasound examination (P < 0.05). We also found inverse correlations between AMH levels and age (r = −0.52) and between AMH and FSH levels (r = −0.32). Conclusion In clinical practice it is common to encounter patients who turn to medicine in search of a cure for female infertility. In our experience, AMH two or three times the normal amount (10 ± 2.28 ng/mL), is a good indication of PCOS and infertility.
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Affiliation(s)
- Sergio Parco
- Institute for Maternal and Child Health, IRCS Burlo Garofolo, Trieste, Italy
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Shaw CM, Stanczyk FZ, Egleston BL, Kahle LL, Spittle CS, Godwin AK, Brinton LA, Dorgan JF. Serum antimüllerian hormone in healthy premenopausal women. Fertil Steril 2011; 95:2718-21. [PMID: 21704216 PMCID: PMC3163405 DOI: 10.1016/j.fertnstert.2011.05.051] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2011] [Revised: 05/12/2011] [Accepted: 05/17/2011] [Indexed: 11/20/2022]
Abstract
Antimüllerian hormone (AMH) is extensively studied in ovarian aging and pathology; however, little is known about correlates in healthy premenopausal women. We found that AMH levels are strongly inversely associated with age and differed significantly between oral contraceptive pill users and nonusers, whereas no significant associations were seen between AMH and other clinical, behavioral, and anthropometric characteristics and laboratory variables, making it an attractive hormone for clinical applications.
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Affiliation(s)
- Christiana M Shaw
- Department of Surgery, University of Florida, Gainesville, Florida 32610, USA.
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Dorgan JF, Stanczyk FZ, Egleston BL, Kahle LL, Shaw CM, Spittle CS, Godwin AK, Brinton LA. Prospective case-control study of serum mullerian inhibiting substance and breast cancer risk. J Natl Cancer Inst 2009; 101:1501-9. [PMID: 19820206 PMCID: PMC2773186 DOI: 10.1093/jnci/djp331] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background Müllerian inhibiting substance (MIS) is a member of the transforming growth factor β family of growth and differentiation factors that inhibits elongation and branching of mammary ducts and has been shown to inhibit mammary tumor growth in vitro and in animal models. The objective of this study was to determine whether serum MIS levels are associated with breast cancer risk. Methods We conducted a prospective case–control study of 309 participants who were registered in the Columbia, Missouri Serum Bank. Each of 105 in situ or invasive breast cancer case patients with prediagnostic serum collected before menopause was matched to two control subjects by age, date, menstrual cycle day, and time of day of blood collection. MIS was measured in serum by using an enzyme-linked immunosorbent assay, and estradiol and testosterone concentrations were quantified by using specific radioimmunoassays. Data were analyzed using conditional logistic regression. All tests of statistical significance were two-sided. Results The relative odds ratio of breast cancer for women in increasing MIS quartiles were 1, 2.8 (95% confidence interval [CI] = 1.0 to 7.4), 5.9 (95% CI = 2.4 to 14.6), and 9.8 (95% CI = 3.3 to 28.9, Ptrend < .001). The association of MIS with breast cancer was weaker in women who were not taking oral contraceptives at the time of blood collection, but adjustment for estradiol and testosterone levels did not materially alter results for these women. The association of MIS with breast cancer did not vary by age at blood collection but was stronger among women who were diagnosed with breast cancer at an older age than among those who were diagnosed at a younger age. Conclusion MIS may be a novel biomarker of increased breast cancer risk. Additional research including confirmatory epidemiological studies and mechanistic studies is needed.
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Affiliation(s)
- Joanne F Dorgan
- Fox Chase Cancer Center, 333 Cottman Ave, Philadelphia, PA 19111, USA.
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