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Shukla N, Shah K, Rathore D, Soni K, Shah J, Vora H, Dave H. Androgen receptor: Structure, signaling, function and potential drug discovery biomarker in different breast cancer subtypes. Life Sci 2024; 348:122697. [PMID: 38710280 DOI: 10.1016/j.lfs.2024.122697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 04/28/2024] [Accepted: 05/03/2024] [Indexed: 05/08/2024]
Abstract
The Androgen Receptor (AR) is emerging as an important factor in the pathogenesis of breast cancer (BC), which is the most common malignancy worldwide. >70 % of AR expression in primary and metastatic breast tumors has been observed which suggests that AR may be a new marker and a potential therapeutic target among AR-positive BC patients. Biological insight into AR-positive breast cancer reveals that AR may cross-talk with several vital signaling pathways, including key molecules and receptors. Downstream signaling of AR might also affect many clinically important pathways that are emerging as clinical targets in BC. AR exhibits different behaviors depending on the breast cancer molecular subtype. Preliminary clinical research using AR-targeted drugs, which have already been FDA-approved for prostate cancer (PC), has given promising results for AR-positive breast cancer patients. However, since AR positivity's prognostic and predictive value remains uncertain, it is difficult to identify and stratify patients who would benefit from AR-targeted therapies alone. Thus, the need of the hour is to target the androgen receptor as a monotherapy or in combination with other conventional therapies which has proven to be an effective clinical strategy for the treatment of prostate cancer patients, and these therapeutic strategies are increasingly being investigated in breast cancer. Therefore, in this manuscript, we review the role of AR in various cellular processes that promote tumorigenesis and aggressiveness, in different subtypes of breast cancer, as well as discuss ongoing efforts to target AR for the more effective treatment and prevention of breast cancer.
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Affiliation(s)
- Nirali Shukla
- Institute of Science, Nirma University, Ahmedabad, Gujarat 382481, India
| | - Kanisha Shah
- Division of Biological & Life Sciences, School of Arts & Sciences, Ahmedabad University, Central Campus, Navrangpura, Ahmedabad, Gujarat 380009, India
| | - Deepshikha Rathore
- Institute of Science, Nirma University, Ahmedabad, Gujarat 382481, India
| | - Kinal Soni
- Institute of Pharmacy, Nirma University, Ahmedabad, Gujarat 382481, India
| | - Jigna Shah
- Institute of Pharmacy, Nirma University, Ahmedabad, Gujarat 382481, India
| | - Hemangini Vora
- The Gujarat Cancer & Research Institute, Ahmedabad, Gujarat 380016, India
| | - Heena Dave
- Institute of Science, Nirma University, Ahmedabad, Gujarat 382481, India.
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Gompel A, Seifert-Klauss V, Simon JA, Prior JC. Lack of evidence that progesterone in ovulatory cycles causes breast cancer. Climacteric 2023; 26:634-637. [PMID: 37671636 DOI: 10.1080/13697137.2023.2249813] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 08/12/2023] [Indexed: 09/07/2023]
Abstract
A recent Perspective article asserted that progesterone secretion during ovulatory cycles is the cause of breast cancer. However, we challenge most of the evidence developed in this publication. First, there is a lack of evidence that progesterone is mutagenic for breast cells. Cause of a cancer should mean initiation by mutation, as opposed to promotion. Second, subclinical ovulatory disturbances occur rather frequently in normal-length menstrual cycles. Third, the authors attribute a potential carcinogenic effect to progesterone secreted during menstrual cycles but not to progesterone during pregnancy. They did not discuss breast cancer evidence from progesterone/progestin therapeutics. They argue that in genetic primary amenorrhea, a hypothetic lower risk of breast cancer could be due to the lack of progesterone, despite the progesterone/progestin in hormone replacements these women receive. Fourth, they advocate a regulatory effect of progesterone on several genes potentially involved in cancer genesis. In particular, they attribute a lower risk of breast cancer in women with Mayer-Rokitansky-Küster-Hauser syndrome to a defect in the progesterone-stimulated Wnt4 gene. However, this defect is only present in a small subset. Thus, the postulated progesterone breast cancer risk is unconvincing, which we discuss point by point in this commentary.
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Affiliation(s)
- A Gompel
- Gynecology-Endocrinology, Paris-Cité University, Paris, France
| | | | - J A Simon
- IntimMedicine Specialists, George Washington University, Washington, DC, USA
| | - J C Prior
- Endocrinology & Medicine, University of British Columbia, Vancouver, BC, Canada
- Centre for Menstrual Cycle and Ovulation Research, University of British Columbia, Vancouver, BC, Canada
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Kotsopoulos J, Hathaway CA, Narod SA, Teras LR, Patel AV, Hu C, Yadav S, Couch FJ, Tworoger SS. Germline Mutations in 12 Genes and Risk of Ovarian Cancer in Three Population-Based Cohorts. Cancer Epidemiol Biomarkers Prev 2023; 32:1402-1410. [PMID: 37493628 PMCID: PMC10592229 DOI: 10.1158/1055-9965.epi-23-0041] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 06/23/2023] [Accepted: 07/24/2023] [Indexed: 07/27/2023] Open
Abstract
BACKGROUND With the widespread use of multigene panel genetic testing, population-based studies are necessary to accurately assess penetrance in unselected individuals. We evaluated the prevalence of germline pathogenic or likely pathogenic variants (mutations) in 12 cancer-predisposition genes and associations with ovarian cancer risk in three population-based prospective studies [Nurses' Health Study (NHS), NHSII, Cancer Prevention Study II]. METHODS We included women with epithelial ovarian or peritoneal cancer (n = 776) and controls who were alive and had at least one intact ovary at the time of the matched case diagnosis (n = 1,509). Germline DNA was sequenced for mutations in 12 genes. Conditional logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for ovarian cancer risk by mutation status. RESULTS The mutation frequency across all 12 genes was 11.2% in cases and 3.3% in controls (P < 0.0001). BRCA1 and BRCA2 were the most frequently mutated (3.5% and 3.8% of cases and 0.3% and 0.5% of controls, respectively) and were associated with increased ovarian cancer risk [OR, BRCA1 = 12.38; 95% confidence interval (CI) = 4.72-32.45; OR, BRCA2 = 9.18; 95% CI = 3.98-21.15]. Mutation frequencies for the other genes were ≤1.0% and only PALB2 was significantly associated with risk (OR = 5.79; 95% CI = 1.09-30.83). There was no difference in survival for women with a BRCA germline mutation versus no mutation. CONCLUSIONS Further research is needed to better understand the role of other mutations in ovarian cancer among unselected populations. IMPACT Our data support guidelines for germline genetic testing for BRCA1 and BRCA2 among women diagnosed with epithelial ovarian cancer; testing for PALB2 may be warranted.
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Affiliation(s)
- Joanne Kotsopoulos
- Women’s College Research Institute, Women’s College Hospital, 76 Grenville St, 6 Floor, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, 155 College Street Health Science Building, 6 Floor, Toronto, ON, Canada
| | | | - Steven A. Narod
- Women’s College Research Institute, Women’s College Hospital, 76 Grenville St, 6 Floor, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, 155 College Street Health Science Building, 6 Floor, Toronto, ON, Canada
| | - Lauren R. Teras
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Alpa V. Patel
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Chunling Hu
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | | | - Fergus J. Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
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Tewari S, Vargas R, Reizes O. The impact of obesity and adipokines on breast and gynecologic malignancies. Ann N Y Acad Sci 2022; 1518:131-150. [PMID: 36302117 PMCID: PMC10092047 DOI: 10.1111/nyas.14916] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The link between obesity and multiple disease comorbidities is well established. In 2003, Calle and colleagues presented the relationship between obesity and several cancer types, including breast, ovarian, and endometrial malignancies. Nearly, 20% of cancer-related deaths in females can be accounted for by obesity. Identifying obesity as a risk factor for cancer led to a focus on the role of fat-secreted cytokines, known as adipokines, on carcinogenesis and tumor progression. Early studies indicated that the adipokine leptin increases cell proliferation, invasion, and inhibition of apoptosis in multiple cancer types. As a greater appreciation of the obesity-cancer link has amassed, we now know that additional adipokines can impact tumorigenesis. A deeper understanding of the adipokine-activated signaling in cancer may identify new treatment strategies irrespective of obesity. Moreover, adipokines may serve as disease biomarkers, harnessing the potential of obesity-associated factors to serve as indicators of treatment response and disease prognosis. As studies investigating obesity and women's cancers continue to expand, it has become evident that breast, ovarian, and uterine cancers are distinctly impacted by adipokines. While complex, these distinct interactions may provide insight into cancer progression in these organs and new opportunities for targeted therapies. This review aims to organize and present the literature from the last 5 years investigating the mechanisms and implications of adipokine signaling in breast, endometrial, and ovarian cancers with a special focus on leptin and adiponectin.
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Affiliation(s)
- Surabhi Tewari
- Cleveland Clinic Lerner College of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Roberto Vargas
- Department of Gynecologic Oncology, Women's Health Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.,Case Comprehensive Cancer Center, Cleveland, Ohio, USA
| | - Ofer Reizes
- Department of Gynecologic Oncology, Women's Health Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.,Case Comprehensive Cancer Center, Cleveland, Ohio, USA.,Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
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5
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Konishi T, Fujiogi M, Michihata N, Matsui H, Tanabe M, Seto Y, Yasunaga H. Association between body mass index and incidence of breast cancer in premenopausal women: a Japanese nationwide database study. Breast Cancer Res Treat 2022; 194:315-325. [DOI: 10.1007/s10549-022-06638-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 05/16/2022] [Indexed: 11/02/2022]
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Mohan A, Kumar V, Brahmachari S, Pandya B. A Study on Clinico-Pathological Profile of Breast Cancer Patients and Their Correlation With Uterine Fibroids Using Hormone Level and Receptor Status Assessment. BREAST CANCER: BASIC AND CLINICAL RESEARCH 2022; 16:11782234221090197. [PMID: 35462755 PMCID: PMC9019335 DOI: 10.1177/11782234221090197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 03/08/2022] [Indexed: 11/27/2022] Open
Abstract
Purpose: To study the clinico-pathological profile of breast cancer patients and the prevalence of uterine fibroids in them, their hormonal levels and hormone receptor status. Patients and methods: 52 patients with breast cancer who attended AIIMS Bhopal from November 2018 to January 2020 were selected, with their clinical details, triple assessment and other investigations for further management being performed and recorded. The presence of uterine fibroids was assessed using ultrasound of the abdomen, and for patients who had undergone hysterectomy, previous medical records were examined to ascertain the history of uterine fibroids. Serum levels of estrogen and progesterone were assessed using chemi-luminescent micro-particle immune assay (CMIA). Results: The mean age of patients was 50.35 ± 10.87 years. 36.54% of our patients had uterine fibroids, of whom 15.38% had undergone hysterectomy for the same, and 21.15% was detected on ultrasound of the abdomen during evaluation. Among patients with uterine fibroids, 84.2% were hormone receptor-positive, while in patients without uterine fibroids, only 57.6% had positive receptors. (P = 0.049). Among premenopausal patients, there was a statistically significant difference in serum progesterone values between patients with and without uterine fibroids. Conclusion: The prevalence of uterine fibroids in our study group of breast cancer patients was found to be high. The role of estrogen and progesterone in the pathophysiology of both diseases and the common risk factors involved may biologically explain this finding. Breast cancer and other estrogen associated disorders may hold future research prospects.
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Affiliation(s)
- Anjaly Mohan
- Department of Surgical Oncology, All India Institute of Medical Sciences, Bhopal, India
| | - Vinay Kumar
- Department of Surgical Oncology, All India Institute of Medical Sciences, Bhopal, India
| | - Swagata Brahmachari
- Department of General Surgery, All India Institute of Medical Sciences, Bhopal, India
| | - Bharati Pandya
- Department of General Surgery, All India Institute of Medical Sciences, Bhopal, India
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Chatterton RT. Functions of dehydroepiandrosterone in relation to breast cancer. Steroids 2022; 179:108970. [PMID: 35122788 DOI: 10.1016/j.steroids.2022.108970] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 01/17/2022] [Accepted: 01/31/2022] [Indexed: 11/20/2022]
Abstract
Although DHEA sulfate (DS) is the most abundant steroid in the circulation, breast fluid contains an approximately 80-fold greater concentration than serum. Transport of DS into cells requires organic anion transporting polypeptides (OATPs), which are specific for cell type, cell location, and substrate, but may have a broader specificity for housekeeping functions. Specific classes, which may be modified by soluble factors including neutral steroids, have been identified in the breast. After transport, DS may be cleaved to DHEA by ubiquitous sulfatases, which may be modified by the cell milieu, or DHEA may enter by diffusion. Synthesis from cholesterol does not occur because CYP17B12 and cytochrome b5 are lacking in breast tissues. Case-control studies reveal a positive association of serum DS with risk of breast cancer. The association is even greater with DHEA, particularly in postmenopausal women with HR + invasive tumors. Metabolites of DHEA, androstenedione and testosterone, are associated with breast cancer but DHEA is likely to have an independent role as well. Mechanisms by which DHEA may promote breast cancer relate to its effect in increasing circulating IGF-I, by inhibiting the suppressive effect of glucocorticoids, and by promoting retention of pre-adipocytes with aromatase activity. In addition, DHEA may interact with the G-protein coupled receptor GPER for stimulation of miR-21 and subsequent activation of the MAPK pathway. DHEA also has antitumor properties that relate to stimulation of immunity, suppression of inflammation, and elevation of adipose tissue adiponectin synthesis. The net effect may depend on the which factors predominate.
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Affiliation(s)
- Robert T Chatterton
- Department of Obstetrics and Gynecology and the Robert H Lurie Comprehensive Cancer Center of Northwestern, Northwestern University Feinberg Medical School. Chicago, IL 60911, USA.
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Coburn SB, Dionne-Odom J, Alcaide ML, Moran CA, Rahangdale L, Golub ET, Massad LS, Seidman D, Michel KG, Minkoff H, Murphy K, Brown TT, Visvanathan K, Lau B, Althoff KN. The Association Between HIV Status, Estradiol, and Sex Hormone Binding Globulin Among Premenopausal Women in the Women's Interagency HIV Study. J Womens Health (Larchmt) 2022; 31:183-193. [PMID: 35041528 PMCID: PMC8864429 DOI: 10.1089/jwh.2021.0276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
Background: Characterizing estradiol among women with HIV may have implications for breast cancer and cardiovascular disease risk but has not been adequately explored. We quantified differences in total (E2), free (FE2) estradiol, and sex hormone binding globulin (SHBG) by HIV and viral suppression status. Methods: Women from a substudy (2003-2006) within the Women's Interagency HIV Study (IRB approved at each participating site) were included if they reported: a period in the last six months, were not pregnant/breastfeeding, no oophorectomy, and no exogenous hormone use in the prior year. Serum was collected on days 2-4 of the menstrual cycle. We assessed differences in biomarkers at 25th, 50th, and 75th percentiles by HIV and viral suppression status using weighted quantile regression. Results: Among 643 women (68% with HIV) median age was 37 years. All E2 percentiles were significantly (p < 0.05) lower in women with suppressed viral load versus women without HIV (4-10 pg/mL). The 25th and 50th percentile of E2 were 4-5 pg/mL lower in women with unsuppressed viral load compared to women without HIV (p < 0.05). The 25th and 50th percentile of SHBG was significantly higher in women with unsuppressed viral load compared to women without HIV (10 and 12 nmol/L, respectively). There were no consistent differences in estradiol or SHBG by suppression status. Conclusions: There were no differences in FE2 but significantly lower E2 and higher SHBG among women with HIV versus without HIV. Further research is merited in a large contemporary sample to clarify the clinical implications of these findings.
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Affiliation(s)
- Sally B. Coburn
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA.,Address correspondence to: Sally B. Coburn, PhD, MPH, Department of Epidemiology, Johns Hopkins University, 615 N Wolfe Street, No. E7008, Baltimore, MD 21205, USA
| | - Jodie Dionne-Odom
- Division of Infectious Diseases, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Maria L. Alcaide
- Department of Medicine, Miller School of Medicine, University of Miami, Miami, Florida, USA
| | - Caitlin A. Moran
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Lisa Rahangdale
- Division of General Obstetrics and Gynecology, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Elizabeth T. Golub
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Leslie Stewart Massad
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Dominika Seidman
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, California, USA
| | - Katherine G. Michel
- Division of Infectious Diseases, Department of Medicine, School of Medicine, Georgetown University Medical Center, Georgetown University, Washington, District of Columbia, USA
| | - Howard Minkoff
- Department of Obstetrics and Gynecology, Maimonides Medical Center and SUNY Downstate, Brooklyn, New York, USA
| | - Kerry Murphy
- Division of Infectious Diseases, Department of Medicine, Albert Einstein College of Medicine/Montefiore Medical Center, New York, New York, USA
| | - Todd T. Brown
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Bryan Lau
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Keri N. Althoff
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA
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Drummond AE, Swain CTV, Brown KA, Dixon-Suen SC, Boing L, van Roekel EH, Moore MM, Gaunt TR, Milne RL, English DR, Martin RM, Lewis SJ, Lynch BM. Linking Physical Activity to Breast Cancer via Sex Steroid Hormones, Part 2: The Effect of Sex Steroid Hormones on Breast Cancer Risk. Cancer Epidemiol Biomarkers Prev 2022; 31:28-37. [PMID: 34670801 PMCID: PMC7612577 DOI: 10.1158/1055-9965.epi-21-0438] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 08/10/2021] [Accepted: 10/07/2021] [Indexed: 11/25/2022] Open
Abstract
We undertook a systematic review and appraised the evidence for an effect of circulating sex steroid hormones and sex hormone-binding globulin (SHBG) on breast cancer risk in pre- and postmenopausal women. Systematic searches identified prospective studies relevant to this review. Meta-analyses estimated breast cancer risk for women with the highest compared with the lowest level of sex hormones, and the DRMETA Stata package was used to graphically represent the shape of these associations. The ROBINS-E tool assessed risk of bias, and the GRADE system appraised the strength of evidence. In premenopausal women, there was little evidence that estrogens, progesterone, or SHBG were associated with breast cancer risk, whereas androgens showed a positive association. In postmenopausal women, higher estrogens and androgens were associated with an increase in breast cancer risk, whereas higher SHBG was inversely associated with risk. The strength of the evidence quality ranged from low to high for each hormone. Dose-response relationships between sex steroid hormone concentrations and breast cancer risk were most notable for postmenopausal women. These data support the plausibility of a role for sex steroid hormones in mediating the causal relationship between physical activity and the risk of breast cancer.See related reviews by Lynch et al., p. 11 and Swain et al., p. 16.
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Affiliation(s)
- Ann E Drummond
- Cancer Epidemiology Division, Cancer Council Victoria, Victoria, Australia
| | | | - Kristy A Brown
- Department of Medicine, Weill Cornell Medicine, New York, New York
| | - Suzanne C Dixon-Suen
- Cancer Epidemiology Division, Cancer Council Victoria, Victoria, Australia
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia
| | - Leonessa Boing
- Laboratory of Research in Leisure and Physical Activity, Santa Catarina State University, Florianópolis, Brazil
| | - Eline H van Roekel
- Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | - Melissa M Moore
- Medical Oncology, St Vincent's Hospital, Melbourne, Victoria, Australia
| | - Tom R Gaunt
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria, Australia
| | - Dallas R English
- Cancer Epidemiology Division, Cancer Council Victoria, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Richard M Martin
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
- NIHR Biomedical Research Centre at University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, United Kingdom
| | - Sarah J Lewis
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Brigid M Lynch
- Cancer Epidemiology Division, Cancer Council Victoria, Victoria, Australia.
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
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Mili N, Paschou SA, Goulis DG, Dimopoulos MA, Lambrinoudaki I, Psaltopoulou T. Obesity, metabolic syndrome, and cancer: pathophysiological and therapeutic associations. Endocrine 2021; 74:478-497. [PMID: 34625915 DOI: 10.1007/s12020-021-02884-x] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 09/15/2021] [Indexed: 12/11/2022]
Abstract
Overweight, obesity, and metabolic syndrome (MetS) have become epidemic conditions affecting 39%, 13%, and 20% of the population respectively. The aim of this article is to review the literature on the association of obesity and MetS with the risk of cancer. We also explore the effect of lifestyle modifications, such as diet, physical activity, and antidiabetic medications, on cancer incidence. Increased body mass index (BMI) has been associated with a multitude of site-specific cancers, reaching relative risk (RR) 1.54 [95% confidence interval (CI) 1.47-1.61] per 5 unit increase for endometrial cancer, as well as with overall cancer risk (RR 1.03, 95% CI 1.02-1.05). Central adiposity measured by waist circumference or waist-to-hip ratio has been suggested as a stronger predictor than BMI for several cancers, such as colorectal cancer. Metabolic Syndrome has been consistently and positively associated with the risk of very common cancers like colorectal (RR 1.34, 95% CI 1.24-1.44), endometrial (RR 1.62, 95% CI 1.26-2.07) and postmenopausal breast cancer (RR 2.01, 95% CI 1.55-2.60). Hyperglycemia and subsequently T2DM have been also shown to increase the risk of cancer. Nevertheless, these risk factors are modifiable and therefore implementing lifestyle modifications could prevent an important number of cancer cases. Adherence to cancer prevention guidelines, including maintaining a healthy weight, having regular physical exercise (RR 0.58-0.90 for different cite specific cancers) and following a healthy dietary pattern (RR 0.74-0.94 for different cite specific cancers) have a protective effect on the risk of cancer. The strength of this review is the presentation of the best evidence, as the data derive mainly from meta-analyses. Public health policies should focus on the modification of risk factors and future research is needed to reveal the pathophysiological links between these risk factors and cancer to develop more efficient prevention and treatment strategies.
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Affiliation(s)
- Nikoletta Mili
- Second Department of Obstetrics and Gynecology, Aretaieio Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Stavroula A Paschou
- Endocrine Unit and Diabetes Centre, Department of Clinical Therapeutics, Alexandra Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Dimitrios G Goulis
- First Department of Obstetrics and Gynecology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Meletios-Athanasios Dimopoulos
- Hematology and Oncology Unit, Department of Clinical Therapeutics, Alexandra Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Irene Lambrinoudaki
- Second Department of Obstetrics and Gynecology, Aretaieio Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Theodora Psaltopoulou
- Hematology and Oncology Unit, Department of Clinical Therapeutics, Alexandra Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
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11
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Rajarajan S, Korlimarla A, Alexander A, Anupama CE, Ramesh R, Srinath BS, Sridhar TS, Prabhu JS. Pre-Menopausal Women With Breast Cancers Having High AR/ER Ratios in the Context of Higher Circulating Testosterone Tend to Have Poorer Outcomes. Front Endocrinol (Lausanne) 2021; 12:679756. [PMID: 34234742 PMCID: PMC8256854 DOI: 10.3389/fendo.2021.679756] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 05/28/2021] [Indexed: 01/18/2023] Open
Abstract
Purpose Women with breast tumors with higher expression of AR are in general known to have better survival outcomes while a high AR/ER ratio is associated with poor outcomes in hormone receptor positive breast cancers mostly in post menopausal women. We have evaluated the AR/ER ratio in the context of circulating androgens specifically in patients younger than 50 years most of whom are pre-menopausal and hence have a high estrogenic hormonal milieu. Methods Tumor samples from patients 50 years or younger at first diagnosis were chosen from a larger cohort of 270 patients with median follow-up of 72 months. Expression levels of ER and AR proteins were detected by immunohistochemistry (IHC) and the transcript levels by quantitative PCR. Ciculating levels of total testosterone were estimated from serum samples. A ratio of AR/ER was derived using the transcript levels, and tumors were dichotomized into high and low ratio groups based on the third quartile value. Survival and the prognostic significance of the ratio was compared between the low and high ratio groups in all tumors and also within ER positive tumors. Results were further validated in external datasets (TCGA and METABRIC). Results Eighty-eight (32%) patients were ≤50 years, with 22 having high AR/ER ratio calculated using the transcript levels. Circulating levels of total testosterone were higher in women whose tumors had a high AR/ER ratio (p = 0.02). Tumors with high AR/ER ratio had significantly poorer disease-free survival than those with low AR/ER ratio [HR-2.6 (95% CI-1.02-6.59) p = 0.04]. Evaluation of tumors with high AR/ER ratio within ER positive tumors alone reconfirmed the prognostic relevance of the high AR/ER ratio with a significant hazard ratio of 4.6 (95% CI-1.35-15.37, p = 0.01). Similar trends were observed in the TCGA and METABRIC dataset. Conclusion Our data in pre-menopausal women with breast cancer suggest that it is not merely the presence or absence of AR expression but the relative activity of ER, as well as the hormonal milieu of the patient that determine clinical outcomes, indicating that both context and interactions ultimately influence tumor behavior.
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Affiliation(s)
- Savitha Rajarajan
- Division of Molecular Medicine, St. John’s Research Institute, Bangalore, India
- Centre for Doctoral Studies, Manipal Academy of Higher Education (MAHE), Manipal, India
| | - Aruna Korlimarla
- Division of Molecular Medicine, St. John’s Research Institute, Bangalore, India
- Department of Research, Sri Shankara Cancer Hospital and Research Centre, Bangalore, India
| | - Annie Alexander
- Division of Molecular Medicine, St. John’s Research Institute, Bangalore, India
| | - C. E. Anupama
- Division of Molecular Medicine, St. John’s Research Institute, Bangalore, India
| | - Rakesh Ramesh
- Department of Surgical Oncology, St. John’s Medical College and Hospital, Bangalore, India
| | - B. S. Srinath
- Department of Surgery, Sri Shankara Cancer Hospital and Research Centre, Bangalore, India
| | - T. S. Sridhar
- Division of Molecular Medicine, St. John’s Research Institute, Bangalore, India
| | - Jyothi S. Prabhu
- Division of Molecular Medicine, St. John’s Research Institute, Bangalore, India
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12
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Alwan AM, Afzaljavan F, Tavakol Afshari J, Homaei Shandiz F, Barati Bagherabad M, Vahednia E, Kheradmand N, Pasdar A. The impact of CYP19A1 variants and haplotypes on breast cancer risk, clinicopathological features and prognosis. Mol Genet Genomic Med 2021; 9:e1705. [PMID: 34014013 PMCID: PMC8372086 DOI: 10.1002/mgg3.1705] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Revised: 01/28/2021] [Accepted: 04/13/2021] [Indexed: 12/30/2022] Open
Abstract
Background Different genetic variants in hormone‐regulating pathways have been identified to influence the risk of breast cancer. This study aimed to evaluate the association of CYP19A1 rs10046 and rs700519 polymorphisms with the risk, clinicopathological factors and prognosis of breast cancer. Methods In a case‐control study, rs10046 and rs700519 polymorphisms were genotyped using ARMS‐PCR and high‐resolution melting (HRM), respectively, in a total of 702 females. Statistical analysis and evaluation of haplotypes and linkage disequilibrium were performed using SPSS v16, PHASE and 2LD. Results Although no association of rs700519 with breast cancer was observed, rs10046 in different genetic models as well as C‐C/C‐T and C‐C/C‐C diplotypes, revealed the association with the risk of breast cancer (p < 0.05). Moreover, the rs700519‐C allele was shown to be associated with longer overall survival. In contrast, the T‐T haplotype conferred s a shorter overall survival. rs700519‐C allele was also significantly associated with menarche age. Conclusion Based on the identified independent association between CYP19A1 diplotypes and rs700519‐C allele with the risk and prognosis of the disease, the gene region and its genetic variants may have a diagnostic and prognostic role in breast cancer development. Further confirmation using other variants in this locus can validate these findings.
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Affiliation(s)
- Ahmad Mohammed Alwan
- Immunology Research Group, Immunogenetic Section, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Fahimeh Afzaljavan
- Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.,Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Jalil Tavakol Afshari
- Immunology Research Group, Immunogenetic Section, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Matineh Barati Bagherabad
- Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Elham Vahednia
- Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Nahid Kheradmand
- Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Alireza Pasdar
- Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.,Division of Applied Medicine, Medical School, University of Aberdeen, Foresterhill, Aberdeen, UK
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13
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Singh V, Reddy R, Sinha A, Marturi V, Panditharadyula SS, Bala A. A Review on Phytopharmaceuticals having Concomitant Experimental Anti-diabetic and Anti-cancer Effects as Potential Sources for Targeted Therapies Against Insulin-mediated Breast Cancer Cell Invasion and Migration. CURRENT CANCER THERAPY REVIEWS 2021. [DOI: 10.2174/1573394716999200831113335] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Diabetes and breast cancer are pathophysiologically similar and clinically established
diseases that co-exist with a wider complex similar molecular signalling and having a similar set of
risk factors. Insulin plays a pivotal role in the invasion and migration of breast cancer cells. Several
ethnopharmacological evidences shed light on the concomitant anti-diabetic and anti-cancer activity
of medicinal plant and phytochemicals against breast tumors of patients with diabetes. This present
article reviewed the findings on medicinal plants and phytochemicals with concomitant antidiabetic
and anti-cancer effects reported in scientific literature to facilitate the development of dual-
acting therapies against diabetes and breast cancer. The schematic tabular form of published literature
on medicinal plants (63 plants belongs to 45 families) concluded the dynamics of phytochemicals
against diabetes and breast tumors that could be explored further for the discovery of therapies
for controlling of breast cancer cell invasion and migration in patients with diabetes.
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Affiliation(s)
- Vibhavana Singh
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research, (NIPER) Hajipur, Export Promotion Industrial Park (EPIP) Hajipur, Bihar 844102, India
| | - Rakesh Reddy
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research, (NIPER) Hajipur, Export Promotion Industrial Park (EPIP) Hajipur, Bihar 844102, India
| | - Antarip Sinha
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research, (NIPER) Hajipur, Export Promotion Industrial Park (EPIP) Hajipur, Bihar 844102, India
| | - Venkatesh Marturi
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research, (NIPER) Hajipur, Export Promotion Industrial Park (EPIP) Hajipur, Bihar 844102, India
| | - Shravani S. Panditharadyula
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research, (NIPER) Hajipur, Export Promotion Industrial Park (EPIP) Hajipur, Bihar 844102, India
| | - Asis Bala
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research, (NIPER) Hajipur, Export Promotion Industrial Park (EPIP) Hajipur, Bihar 844102, India
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Iwase T, Wang X, Shrimanker TV, Kolonin MG, Ueno NT. Body composition and breast cancer risk and treatment: mechanisms and impact. Breast Cancer Res Treat 2021; 186:273-283. [PMID: 33475878 DOI: 10.1007/s10549-020-06092-5] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Accepted: 12/31/2020] [Indexed: 02/06/2023]
Abstract
PURPOSE The purpose of this review is to clarify the association of body composition with breast cancer risk and treatment, including physiological mechanisms, and to elucidate strategies for overcoming unfavorable body composition changes that relate to breast cancer progression. METHODS We have summarized updated knowledge regarding the mechanism of the negative association of altered body composition with breast cancer risk and treatment. We also review strategies for reversing unfavorable body composition based on the latest clinical trial results. RESULTS Body composition changes in patients with breast cancer typically occur during menopause or as a result of chemotherapy or endocrine therapy. Dysfunction of visceral adipose tissue (VAT) in the setting of obesity underlies insulin resistance and chronic inflammation, which can lead to breast cancer development and progression. Insulin resistance and chronic inflammation are also observed in patients with breast cancer who have sarcopenia or sarcopenic obesity. Nutritional support and a personalized exercise program are the fundamental interventions for reversing unfavorable body composition. Other interventions that have been explored in specific situations include metformin, testosterone, emerging agents that directly target the adipocyte microenvironment, and bariatric surgery. CONCLUSIONS A better understanding of the biology of body composition phenotypes is key to determining the best intervention program for patients with breast cancer.
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Affiliation(s)
- Toshiaki Iwase
- Section of Translational Breast Cancer Research, Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 1354, Houston, TX, 77030, USA.,Morgan Welch Inflammatory Breast Cancer Research Program and Clinic, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA
| | - Xiaoping Wang
- Section of Translational Breast Cancer Research, Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 1354, Houston, TX, 77030, USA.,Morgan Welch Inflammatory Breast Cancer Research Program and Clinic, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA
| | - Tushaar Vishal Shrimanker
- Section of Translational Breast Cancer Research, Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 1354, Houston, TX, 77030, USA.,Morgan Welch Inflammatory Breast Cancer Research Program and Clinic, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA
| | - Mikhail G Kolonin
- Center for Metabolic and Degenerative Diseases, The University of Texas Health Science Center at Houston, 7000 Fannin Street, Houston, TX, 77030, USA
| | - Naoto T Ueno
- Section of Translational Breast Cancer Research, Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 1354, Houston, TX, 77030, USA. .,Morgan Welch Inflammatory Breast Cancer Research Program and Clinic, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA.
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15
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Lamb CA, Fabris VT, Lanari C. Progesterone and breast. Best Pract Res Clin Obstet Gynaecol 2020; 69:85-94. [DOI: 10.1016/j.bpobgyn.2020.04.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 03/20/2020] [Accepted: 04/03/2020] [Indexed: 12/16/2022]
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16
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McGee EE, Kim CH, Wang M, Spiegelman D, Stover DG, Heng YJ, Collins LC, Baker GM, Farvid MS, Schedin P, Jindal S, Tamimi RM, Eliassen AH. Erythrocyte membrane fatty acids and breast cancer risk by tumor tissue expression of immuno-inflammatory markers and fatty acid synthase: a nested case-control study. Breast Cancer Res 2020; 22:78. [PMID: 32698885 PMCID: PMC7374956 DOI: 10.1186/s13058-020-01316-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 07/08/2020] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Previous studies of fatty acids and breast cancer risk have shown mixed results, which may be due in part to tumor heterogeneity. Prior research has also illustrated an important role of specific fatty acids in immune regulation, T cell function, and inflammation, indicating that the effects of specific fatty acids on breast cancer risk may vary by tumor expression of immuno-inflammatory markers. We therefore aimed to evaluate the relationships between prediagnostic erythrocyte membrane fatty acids and breast cancer risk by tumor tissue expression of immuno-inflammatory markers (CD4, CD8, CD20, CD163, COX-2) and fatty acid synthase (FAS). METHODS We conducted a matched case-control study nested within the Nurses' Health Study II (n = 235 cases and 235 controls). Blood samples were collected from 1996 to 1999. Tumor tissue blocks were collected for cases diagnosed after blood collection and through 2006. Unconditional nominal polytomous logistic regression adjusted for matching factors and potential confounders was used to assess whether associations between fatty acids and breast cancer risk varied by tumor expression subtype, ascertained via immunohistochemistry. Odds ratios (OR) and 95% confidence intervals (CI) were estimated separately by tumor expression subtype using unconditional logistic regression. RESULTS Associations between fatty acids and breast cancer risk did not vary substantially by tumor CD4, CD20, CD163, or COX-2. However, n-3 polyunsaturated fatty acids (PUFAs) were inversely associated with CD8low but not CD8high cancers (CD8low ORT3 vs T1 = 0.45, 95% CI 0.23-0.87, Ptrend = 0.02; CD8high ORT3 vs T1 = 1.19, 95% CI 0.62-2.26, Ptrend = 0.62; Phet = 0.04). n-6 PUFAs were suggestively inversely associated with CD8high but not CD8low cancers (CD8high ORT3 vs T1 = 0.61, 95% CI 0.32-1.14, Ptrend = 0.11; CD8low ORT3 vs T1 = 1.63, 95% CI 0.87-3.04, Ptrend = 0.12; Phet = 0.02). Trans fatty acids were positively associated with FAShigh but not FASlow tumors (FAShigh ORT3 vs T1 = 2.94, 95% CI 1.46-5.91, Ptrend = 0.002; FASlow ORT3 vs T1 = 0.99, 95% CI 0.52-1.92, Ptrend = 0.97; Phet = 0.01). CONCLUSION Results indicate that the effects of n-3 PUFAs, n-6 PUFAs, and trans fatty acids on breast cancer risk may vary by tumor tissue expression subtypes. Findings suggest potential immuno-modulatory and FAS-mediated mechanisms.
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Affiliation(s)
- Emma E McGee
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA. .,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Claire H Kim
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Molin Wang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Donna Spiegelman
- Center on Methods for Implementation and Prevention Science (CMIPS), Yale School of Public Health, New Haven, CT, USA.,Department of Statistics and Data Science, Yale University, New Haven, CT, USA
| | - Daniel G Stover
- Medical Oncology, Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Yujing J Heng
- Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Laura C Collins
- Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Gabrielle M Baker
- Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Maryam S Farvid
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Pepper Schedin
- Department of Cell, Developmental and Cancer Biology, Oregon Health and Science University, Portland, OR, USA
| | - Sonali Jindal
- Department of Cell, Developmental and Cancer Biology, Oregon Health and Science University, Portland, OR, USA
| | - Rulla M Tamimi
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Division of Epidemiology, Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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17
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Kotsopoulos J, McGee EE, Lozano-Esparza S, Garber JE, Ligibel J, Collins LC, Polyak K, Brown M, Narod S, Tamimi RM, Eliassen AH. Premenopausal Plasma Osteoprotegerin and Breast Cancer Risk: A Case-Control Analysis Nested within the Nurses' Health Study II. Cancer Epidemiol Biomarkers Prev 2020; 29:1264-1270. [PMID: 32277005 DOI: 10.1158/1055-9965.epi-19-1154] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 12/13/2019] [Accepted: 04/06/2020] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Emerging evidence supports a role of the receptor activator of NF-κB (RANK) pathway in normal mammary gland development and breast carcinogenesis. Osteoprotegerin (OPG) is the endogenous decoy receptor for RANK-ligand (RANKL), which inhibits RANK-signaling. Whether OPG may be a biomarker of breast cancer risk remains unclear. METHODS We evaluated the association between plasma OPG and breast cancer risk in a case (n = 297)-control (n = 297) study nested within the Nurses' Health Study II. Cases were women who were cancer-free and premenopausal at blood collection who developed invasive breast cancer. OPG was quantified using an ELISA. Conditional logistic regression was used to estimate multivariable odds ratios (OR) and 95% confidence intervals (CI) for the association between OPG levels and breast cancer risk, adjusting for potential confounders. Unconditional logistic regression, additionally adjusting for matching factors, was used for stratified analyses. RESULTS Overall, there was no substantial evidence for an association between plasma OPG levels and breast cancer risk, although the point estimate for the highest (vs. lowest) quartile was below 1 (OR = 0.78; 95% CI, 0.46-1.33; P trend = 0.30). There was no evidence of heterogeneity by various reproductive, hormonal, or tumor characteristics, including hormone receptor status and grade (all P heterogeneity ≥ 0.17). CONCLUSIONS Findings from this prospective study do not provide substantial evidence for an association between circulating OPG and breast cancer risk among premenopausal women; however, we were underpowered in stratified analyses. IMPACT Results do not provide strong evidence for OPG as a potential biomarker of breast cancer risk among premenopausal women.
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Affiliation(s)
- Joanne Kotsopoulos
- Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada. .,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Emma E McGee
- 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
| | - Susana Lozano-Esparza
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Judy E Garber
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Jennifer Ligibel
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Laura C Collins
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Kornelia Polyak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Myles Brown
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Steven Narod
- Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Rulla M Tamimi
- 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
| | - 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
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18
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Farvid MS, Spence ND, Holmes MD, Barnett JB. Fiber consumption and breast cancer incidence: A systematic review and meta-analysis of prospective studies. Cancer 2020; 126:3061-3075. [PMID: 32249416 DOI: 10.1002/cncr.32816] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 01/12/2020] [Accepted: 01/14/2020] [Indexed: 12/30/2022]
Abstract
BACKGROUND Associations between fiber intake and breast cancer risk have been evaluated in prospective studies, but overall, the evidence is inconsistent. The authors performed a systematic review and meta-analysis of prospective studies to investigate the relation between intake of total and types of fiber with breast cancer incidence. METHODS The MEDLINE and Excerpta Medica dataBASE (EMBASE) databases were searched through July 2019 for prospective studies that reported on the association between fiber consumption and incident breast cancer. The pooled relative risk (RR) and 95% confidence intervals (95% CI) were estimated comparing the highest versus the lowest category of total and types of fiber consumption, using a random-effects meta-analysis. RESULTS The authors identified 17 cohort studies, 2 nested case-control studies, and 1 clinical trial study. Total fiber consumption was associated with an 8% lower risk of breast cancer (comparing the highest versus the lowest category, pooled RR, 0.92; 95% CI, 0.88-0.95 [I2 = 12.6%]). Soluble fiber was found to be significantly inversely associated with risk of breast cancer (pooled RR, 0.90 [95% CI, 0.84-0.96; I2 = 12.6%]) and insoluble fiber was found to be suggestively inversely associated with risk of breast cancer (pooled RR, 0.93 [95% CI, 0.86-1.00; I2 = 33.4%]). Higher total fiber intake was associated with a lower risk of both premenopausal and postmenopausal breast cancers (pooled RR, 0.82 [95% CI, 0.67-0.99; I2 = 35.2%] and pooled RR, 0.91 [95% CI, 0.88-0.95; I2 = 0.0%], respectively). Furthermore, the authors observed a nonsignificant inverse association between intake of total fiber and risk of both estrogen and progesterone receptor-positive and estrogen and progesterone receptor-negative breast cancers. CONCLUSIONS A random-effects meta-analysis of prospective observational studies demonstrated that high total fiber consumption was associated with a reduced risk of breast cancer. This finding was consistent for soluble fiber as well as for women with premenopausal and postmenopausal breast cancer.
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Affiliation(s)
- Maryam S Farvid
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Nicholas D Spence
- Department of Sociology and Interdisciplinary Center for Health and Society, University of Toronto, Toronto, Ontario, Canada
| | - Michelle D Holmes
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Junaidah B Barnett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
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19
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Trabert B, Sherman ME, Kannan N, Stanczyk FZ. Progesterone and Breast Cancer. Endocr Rev 2020; 41:5568276. [PMID: 31512725 PMCID: PMC7156851 DOI: 10.1210/endrev/bnz001] [Citation(s) in RCA: 86] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 09/06/2019] [Indexed: 12/31/2022]
Abstract
Synthetic progestogens (progestins) have been linked to increased breast cancer risk; however, the role of endogenous progesterone in breast physiology and carcinogenesis is less clearly defined. Mechanistic studies using cell culture, tissue culture, and preclinical models implicate progesterone in breast carcinogenesis. In contrast, limited epidemiologic data generally do not show an association of circulating progesterone levels with risk, and it is unclear whether this reflects methodologic limitations or a truly null relationship. Challenges related to defining the role of progesterone in breast physiology and neoplasia include: complex interactions with estrogens and other hormones (eg, androgens, prolactin, etc.), accounting for timing of blood collections for hormone measurements among cycling women, and limitations of assays to measure progesterone metabolites in blood and progesterone receptor isotypes (PRs) in tissues. Separating the individual effects of estrogens and progesterone is further complicated by the partial dependence of PR transcription on estrogen receptor (ER)α-mediated transcriptional events; indeed, interpreting the integrated interaction of the hormones may be more essential than isolating independent effects. Further, many of the actions of both estrogens and progesterone, particularly in "normal" breast tissues, are driven by paracrine mechanisms in which ligand binding to receptor-positive cells evokes secretion of factors that influence cell division of neighboring receptor-negative cells. Accordingly, blood and tissue levels may differ, and the latter are challenging to measure. Given conflicting data related to the potential role of progesterone in breast cancer etiology and interest in blocking progesterone action to prevent or treat breast cancer, we provide a review of the evidence that links progesterone to breast cancer risk and suggest future directions for filling current gaps in our knowledge.
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Affiliation(s)
- Britton Trabert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland
| | - Mark E Sherman
- Health Sciences Research, Mayo Clinic, Jacksonville, Florida
| | - Nagarajan Kannan
- Laboratory of Stem Cell and Cancer Biology, Division of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Frank Z Stanczyk
- Departments of Obstetrics and Gynecology, and Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, California
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Prediagnostic Circulating Levels of Sex Steroid Hormones and SHBG in Relation to Risk of Ductal Carcinoma In Situ of the Breast among UK Women. Cancer Epidemiol Biomarkers Prev 2020; 29:1058-1066. [DOI: 10.1158/1055-9965.epi-19-1302] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Revised: 12/11/2019] [Accepted: 02/24/2020] [Indexed: 11/16/2022] Open
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Gabrielson M, Ubhayasekera KA, Acharya SR, Franko MA, Eriksson M, Bergquist J, Czene K, Hall P. Inclusion of Endogenous Plasma Dehydroepiandrosterone Sulfate and Mammographic Density in Risk Prediction Models for Breast Cancer. Cancer Epidemiol Biomarkers Prev 2020; 29:574-581. [PMID: 31948996 DOI: 10.1158/1055-9965.epi-19-1120] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Revised: 11/06/2019] [Accepted: 01/10/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Endogenous hormones and mammographic density are risk factors for breast cancer. Joint analyses of the two may improve the ability to identify high-risk women. METHODS This study within the KARMA cohort included prediagnostic measures of plasma hormone levels of dehydroepiandrosterone (DHEA), its sulfate (DHEAS), and mammographic density in 629 cases and 1,223 controls, not using menopausal hormones. We evaluated the area under the receiver-operating curve (AUC) for risk of breast cancer by adding DHEA, DHEAS, and mammographic density to the Gail or Tyrer-Cuzick 5-year risk scores or the CAD2Y 2-year risk score. RESULTS DHEAS and percentage density were independently and positively associated with breast cancer risk (P = 0.007 and P < 0.001, respectively) for postmenopausal, but not premenopausal, women. No significant association was seen for DHEA. In postmenopausal women, those in the highest tertiles of both DHEAS and density were at greatest risk of breast cancer (OR, 3.5; 95% confidence interval, 1.9-6.3) compared with the lowest tertiles. Adding DHEAS significantly improved the AUC for the Gail (+2.1 units, P = 0.008) and Tyrer-Cuzick (+1.3 units, P = 0.007) risk models. Adding DHEAS to the Gail and Tyrer-Cuzick models already including mammographic density further increased the AUC by 1.2 units (P = 0.006) and 0.4 units (P = 0.007), respectively, compared with only including density. CONCLUSIONS DHEAS and mammographic density are independent risk factors for breast cancer and improve risk discrimination for postmenopausal breast cancer. IMPACT Combining DHEAS and mammographic density could help identify women at high risk who may benefit from individualized breast cancer screening and/or preventive measures among postmenopausal women.
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Affiliation(s)
- Marike Gabrielson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
| | - Kumari A Ubhayasekera
- Analytical Chemistry and Neurochemistry, Department of Chemistry - BMC, Uppsala University, Uppsala, Sweden
| | - Santosh R Acharya
- Analytical Chemistry and Neurochemistry, Department of Chemistry - BMC, Uppsala University, Uppsala, Sweden
| | - Mikael Andersson Franko
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mikael Eriksson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jonas Bergquist
- Analytical Chemistry and Neurochemistry, Department of Chemistry - BMC, Uppsala University, Uppsala, Sweden
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Department of Oncology, South General Hospital, Stockholm, Sweden
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22
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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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23
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Coburn SB, Stanczyk FZ, Falk RT, McGlynn KA, Brinton LA, Sampson J, Bradwin G, Xu X, Trabert B. Comparability of serum, plasma, and urinary estrogen and estrogen metabolite measurements by sex and menopausal status. Cancer Causes Control 2019; 30:75-86. [PMID: 30506492 PMCID: PMC6447065 DOI: 10.1007/s10552-018-1105-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Accepted: 11/26/2018] [Indexed: 10/27/2022]
Abstract
PURPOSE The comparability between serum, plasma, and urinary measurements of estrogen metabolites via liquid chromatography-tandem mass spectrometry (LC-MS/MS) has not been largely explored, and it is unclear if urinary LC-MS/MS measurements are suitable surrogates of circulating levels. METHODS Serum, plasma (EDTA and heparin), and urinary estrogen/estrogen metabolite levels were measured via LC-MS/MS in paired samples from 64 healthy volunteers (18 men, 20 premenopausal women, 26 postmenopausal women). Geometric means and Spearman correlation coefficients were used to compare individual and combined pathway levels of estrogens/estrogen metabolites across biologic matrices by sex/menopausal status. RESULTS Measured concentrations of estrogens/estrogen metabolites across blood matrices were almost identical (percent differences < 4.8%). Parent estrogen concentrations measured in serum and urine were moderately correlated in postmenopausal women (estrone: r = 0.69, estradiol: r = 0.69). Correlations were similar comparing unconjugated serum estradiol to urinary estrone (r = 0.76) and urinary estradiol (r = 0.65) in postmenopausal women but were moderate to low in premenopausal women (r = 0.60, 0.40, respectively)/men (r = 0.33, 0.53, respectively). Comparing metabolite ratios, proportionally higher concentrations of 16-pathway metabolites were measured in urine versus serum across sex/menopausal status groups (e.g., postmenopausal women: 50.3% 16-pathway metabolites/total in urine versus 35.3% in serum). CONCLUSIONS There is strong agreement between estrogen/estrogen metabolites measurements in serum, heparin plasma, and EDTA plasma. Individual estrogen metabolite concentrations were moderately correlated between urine and serum, but were not well correlated when evaluating pathway- or relative estrogen concentrations. Differences between serum and urine are likely explained by differences in metabolism and/or excretion.
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Affiliation(s)
- Sally B Coburn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
| | - Frank Z Stanczyk
- Departments of Obstetrics and Gynecology, and Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA, USA
| | - Roni T Falk
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
| | - Katherine A McGlynn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
| | - Louise A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
| | - Joshua Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
| | - Gary Bradwin
- Department of Laboratory Medicine, Harvard Medical School and Children's Hospital, Boston, MA, USA
| | - Xia Xu
- Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Britton Trabert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA.
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24
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Schoemaker MJ, Nichols HB, Wright LB, Brook MN, Jones ME, O'Brien KM, Adami HO, Baglietto L, Bernstein L, Bertrand KA, Boutron-Ruault MC, Braaten T, Chen Y, Connor AE, Dorronsoro M, Dossus L, Eliassen AH, Giles GG, Hankinson SE, Kaaks R, Key TJ, Kirsh VA, Kitahara CM, Koh WP, Larsson SC, Linet MS, Ma H, Masala G, Merritt MA, Milne RL, Overvad K, Ozasa K, Palmer JR, Peeters PH, Riboli E, Rohan TE, Sadakane A, Sund M, Tamimi RM, Trichopoulou A, Ursin G, Vatten L, Visvanathan K, Weiderpass E, Willett WC, Wolk A, Yuan JM, Zeleniuch-Jacquotte A, Sandler DP, Swerdlow AJ. Association of Body Mass Index and Age With Subsequent Breast Cancer Risk in Premenopausal Women. JAMA Oncol 2018; 4:e181771. [PMID: 29931120 PMCID: PMC6248078 DOI: 10.1001/jamaoncol.2018.1771] [Citation(s) in RCA: 184] [Impact Index Per Article: 30.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Accepted: 03/30/2018] [Indexed: 12/18/2022]
Abstract
Importance The association between increasing body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) and risk of breast cancer is unique in cancer epidemiology in that a crossover effect exists, with risk reduction before and risk increase after menopause. The inverse association with premenopausal breast cancer risk is poorly characterized but might be important in the understanding of breast cancer causation. Objective To investigate the association of BMI with premenopausal breast cancer risk, in particular by age at BMI, attained age, risk factors for breast cancer, and tumor characteristics. Design, Setting, and Participants This multicenter analysis used pooled individual-level data from 758 592 premenopausal women from 19 prospective cohorts to estimate hazard ratios (HRs) of premenopausal breast cancer in association with BMI from ages 18 through 54 years using Cox proportional hazards regression analysis. Median follow-up was 9.3 years (interquartile range, 4.9-13.5 years) per participant, with 13 082 incident cases of breast cancer. Participants were recruited from January 1, 1963, through December 31, 2013, and data were analyzed from September 1, 2013, through December 31, 2017. Exposures Body mass index at ages 18 to 24, 25 to 34, 35 to 44, and 45 to 54 years. Main Outcomes and Measures Invasive or in situ premenopausal breast cancer. Results Among the 758 592 premenopausal women (median age, 40.6 years; interquartile range, 35.2-45.5 years) included in the analysis, inverse linear associations of BMI with breast cancer risk were found that were stronger for BMI at ages 18 to 24 years (HR per 5 kg/m2 [5.0-U] difference, 0.77; 95% CI, 0.73-0.80) than for BMI at ages 45 to 54 years (HR per 5.0-U difference, 0.88; 95% CI, 0.86-0.91). The inverse associations were observed even among nonoverweight women. There was a 4.2-fold risk gradient between the highest and lowest BMI categories (BMI≥35.0 vs <17.0) at ages 18 to 24 years (HR, 0.24; 95% CI, 0.14-0.40). Hazard ratios did not appreciably vary by attained age or between strata of other breast cancer risk factors. Associations were stronger for estrogen receptor-positive and/or progesterone receptor-positive than for hormone receptor-negative breast cancer for BMI at every age group (eg, for BMI at age 18 to 24 years: HR per 5.0-U difference for estrogen receptor-positive and progesterone receptor-positive tumors, 0.76 [95% CI, 0.70-0.81] vs hormone receptor-negative tumors, 0.85 [95% CI: 0.76-0.95]); BMI at ages 25 to 54 years was not consistently associated with triple-negative or hormone receptor-negative breast cancer overall. Conclusions and Relevance The results of this study suggest that increased adiposity is associated with a reduced risk of premenopausal breast cancer at a greater magnitude than previously shown and across the entire distribution of BMI. The strongest associations of risk were observed for BMI in early adulthood. Understanding the biological mechanisms underlying these associations could have important preventive potential.
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Affiliation(s)
- Minouk J Schoemaker
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
| | - Hazel B Nichols
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill
| | - Lauren B Wright
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
| | - Mark N Brook
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
| | - Michael E Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
| | - Katie M O'Brien
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, North Carolina
| | - Hans-Olov Adami
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Laura Baglietto
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Leslie Bernstein
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, California
| | | | - Marie-Christine Boutron-Ruault
- Institut National de la Santé et de la Recherche Medicale U1018, Institut Gustave Roussy, Centre d'Etude des Supports de Publicité, Université Paris-Saclay, Université Paris-Sud, and Université Versailles Saint-Quentin, Paris, France
| | - Tonje Braaten
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø
| | - Yu Chen
- Department of Population Health and Perlmutter Cancer Center, New York University School of Medicine, New York City, New York
| | - Avonne E Connor
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Miren Dorronsoro
- Public Health Direction and Biodonostia Research Institute and Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, Basque Regional Health Department, San Sebastian, Spain
| | - Laure Dossus
- Nutrition and Metabolism Section, International Agency for Research on Cancer, Lyon, France
| | - A Heather Eliassen
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Graham G Giles
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Timothy J Key
- Nuffield Department of Population Health, University of Oxford, Oxford, England
| | - Victoria A Kirsh
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Cari M Kitahara
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Woon-Puay Koh
- Health Services and Systems Research, Duke-NUS (National University of Singapore) Medical School, Singapore
| | - Susanna C Larsson
- Nutrional Epidemiology Unit, Karolinska Institutet, Institute of Environmental Medicine, Stockholm, Sweden
| | - Martha S Linet
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Huiyan Ma
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, California
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Cancer Research and Prevention Institute, Florence, Italy
| | | | - Roger L Milne
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Kim Overvad
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark
| | - Kotaro Ozasa
- Radiation Effects Research Foundation, Hiroshima, Japan
| | - Julie R Palmer
- Slone Epidemiology Center at Boston University, Boston, Massachusetts
| | - Petra H Peeters
- University Medical Center, Utrecht University, Utrecht, the Netherlands
| | - Elio Riboli
- School of Public Health, Imperial College, London, England
| | - Thomas E Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | | | - Malin Sund
- Department of Surgical and Perioperative Sciences, Umeå University, Umeå, Sweden
| | - Rulla M Tamimi
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | | | - Giske Ursin
- Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo
- Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
- Department of Preventive Medicine, University of Southern California, Los Angeles
| | - Lars Vatten
- Department of Public Health, Norwegian University of Science and Technology, Trondheim
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Elisabete Weiderpass
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø
- Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo
- Genetic Epidemiology Group, Folkhälsan Research Center, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Walter C Willett
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Alicja Wolk
- Nutrional Epidemiology Unit, Karolinska Institutet, Institute of Environmental Medicine, Stockholm, Sweden
| | - Jian-Min Yuan
- University of Pittsburgh Graduate School of Public Health and UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health and Perlmutter Cancer Center, New York University School of Medicine, New York City, New York
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, North Carolina
| | - 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, England
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25
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Zhang X, Rice M, Tworoger SS, Rosner BA, Eliassen AH, Tamimi RM, Joshi AD, Lindstrom S, Qian J, Colditz GA, Willett WC, Kraft P, Hankinson SE. Addition of a polygenic risk score, mammographic density, and endogenous hormones to existing breast cancer risk prediction models: A nested case-control study. PLoS Med 2018; 15:e1002644. [PMID: 30180161 PMCID: PMC6122802 DOI: 10.1371/journal.pmed.1002644] [Citation(s) in RCA: 75] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Accepted: 07/25/2018] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND No prior study to our knowledge has examined the joint contribution of a polygenic risk score (PRS), mammographic density (MD), and postmenopausal endogenous hormone levels-all well-confirmed risk factors for invasive breast cancer-to existing breast cancer risk prediction models. METHODS AND FINDINGS We conducted a nested case-control study within the prospective Nurses' Health Study and Nurses' Health Study II including 4,006 cases and 7,874 controls ages 34-70 years up to 1 June 2010. We added a breast cancer PRS using 67 single nucleotide polymorphisms, MD, and circulating testosterone, estrone sulfate, and prolactin levels to existing risk models. We calculated area under the curve (AUC), controlling for age and stratified by menopausal status, for the 5-year absolute risk of invasive breast cancer. We estimated the population distribution of 5-year predicted risks for models with and without biomarkers. For the Gail model, the AUC improved (p-values < 0.001) from 55.9 to 64.1 (8.2 units) in premenopausal women (Gail + PRS + MD), from 55.5 to 66.0 (10.5 units) in postmenopausal women not using hormone therapy (HT) (Gail + PRS + MD + all hormones), and from 58.0 to 64.9 (6.9 units) in postmenopausal women using HT (Gail + PRS + MD + prolactin). For the Rosner-Colditz model, the corresponding AUCs improved (p-values < 0.001) by 5.7, 6.2, and 6.5 units. For estrogen-receptor-positive tumors, among postmenopausal women not using HT, the AUCs improved (p-values < 0.001) by 14.3 units for the Gail model and 7.3 units for the Rosner-Colditz model. Additionally, the percentage of 50-year-old women predicted to be at more than twice 5-year average risk (≥2.27%) was 0.2% for the Gail model alone and 6.6% for the Gail + PRS + MD + all hormones model. Limitations of our study included the limited racial/ethnic diversity of our cohort, and that general population exposure distributions were unavailable for some risk factors. CONCLUSIONS In this study, the addition of PRS, MD, and endogenous hormones substantially improved existing breast cancer risk prediction models. Further studies will be needed to confirm these findings and to determine whether improved risk prediction models have practical value in identifying women at higher risk who would most benefit from chemoprevention, screening, and other risk-reducing strategies.
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Affiliation(s)
- Xuehong Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- * E-mail:
| | - Megan Rice
- Clinical and Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Shelley S. Tworoger
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, United States of America
| | - Bernard A. Rosner
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - A. Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Rulla M. Tamimi
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Amit D. Joshi
- Clinical and Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Sara Lindstrom
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Jing Qian
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, Massachusetts, United States of America
| | - Graham A. Colditz
- Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Walter C. Willett
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Susan E. Hankinson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, Massachusetts, United States of America
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Oyenihi OR, Krygsman A, Verhoog N, de Beer D, Saayman MJ, Mouton TM, Louw A. Chemoprevention of LA7-Induced Mammary Tumor Growth by SM6Met, a Well-Characterized Cyclopia Extract. Front Pharmacol 2018; 9:650. [PMID: 29973879 PMCID: PMC6019492 DOI: 10.3389/fphar.2018.00650] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Accepted: 05/31/2018] [Indexed: 12/25/2022] Open
Abstract
Breast cancer (BC) is the leading cause of cancer-related deaths in women. Chemoprevention of BC by using plant extracts is gaining attention. SM6Met, a well-characterized extract of Cyclopia subternata with reported selective estrogen receptor subtype activity, has shown tumor suppressive effects in a chemically induced BC model in rats, which is known to be estrogen responsive. However, there is no information on the estrogen sensitivity of the relatively new orthotopic model of LA7 cell-induced mammary tumors. In the present study, the potential chemopreventative and side-effect profile of SM6Met on LA7 cell-induced tumor growth was evaluated, as was the effects of 17β-estradiol and standard-of-care (SOC) endocrine therapies, such as tamoxifen (TAM), letrozole (LET), and fulvestrant (FUL). Tumor growth was observed in the tumor-vehicle control group until day 10 post tumor induction, which declined afterward on days 12-14. SM6Met suppressed tumor growth to the same extent as TAM, while LET, but not FUL, also showed substantial anti-tumor effects. Short-term 17β-estradiol treatment reduced tumor volume on days prior to day 10, whereas tumor promoting effects were observed during long-term treatment, which was especially evident at later time points. Marked elevation in serum markers of liver injury, which was further supported by histological evaluation, was observed in the vehicle-treated tumor control, TAM, LET, and long-term 17β-estradiol treatment groups. Alterations in the lipid profiles were also observed in the 17β-estradiol treatment groups. In contrast, SM6Met did not augment the increase in serum levels of liver injury biomarkers caused by tumor induction and no effect was observed on lipid profiles. In summary, the results from the current study demonstrate the chemopreventative effect of SM6Met on mammary tumor growth, which was comparable to that of TAM, without eliciting the negative side-effects observed with this SOC endocrine therapy. Furthermore, the results of this study also showed some responsiveness of LA7-induced tumors to estrogen and SOC endocrine therapies. Thus, this model may be useful in evaluating potential endocrine therapies for hormone responsive BC.
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Affiliation(s)
- Omolola R. Oyenihi
- Department of Biochemistry, Stellenbosch University, Stellenbosch, South Africa
| | - Annadie Krygsman
- Department of Physiological Sciences, Stellenbosch University, Stellenbosch, South Africa
| | - Nicolette Verhoog
- Department of Biochemistry, Stellenbosch University, Stellenbosch, South Africa
| | - Dalene de Beer
- Post-Harvest and Agro-Processing Technologies, Agricultural Research Council of South Africa, Infruitec-Nietvoorbij, Stellenbosch, South Africa
- Department of Food Science, Stellenbosch University, Stellenbosch, South Africa
| | - Michael J. Saayman
- Department of Biomedical Sciences, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Thys M. Mouton
- Department of Biomedical Sciences, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Ann Louw
- Department of Biochemistry, Stellenbosch University, Stellenbosch, South Africa
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Gompel A, Plu-Bureau G. Progesterone, progestins and the breast in menopause treatment. Climacteric 2018; 21:326-332. [DOI: 10.1080/13697137.2018.1476483] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Affiliation(s)
- A. Gompel
- Unité de Gynécologie Endocrinienne, Université Paris Descartes Hôpitaux, Universitaires Port Royal-Cochin, Paris, France
| | - G. Plu-Bureau
- Unité de Gynécologie Endocrinienne, Université Paris Descartes Hôpitaux, Universitaires Port Royal-Cochin, Paris, France
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28
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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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29
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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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30
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Bertrand KA, Eliassen AH, Hankinson SE, Rosner BA, Tamimi RM. Circulating Hormones and Mammographic Density in Premenopausal Women. Discov Oncol 2018; 9:117-127. [PMID: 29330698 DOI: 10.1007/s12672-017-0321-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Accepted: 12/26/2017] [Indexed: 12/23/2022] Open
Abstract
Prior research suggests that several endogenous hormones in premenopausal women are associated with breast cancer risk; however, few studies have evaluated associations of endogenous hormones with mammographic density (MD) in premenopausal women. We conducted a cross-sectional study of plasma hormone levels in relation to MD among 634 cancer-free premenopausal women in the Nurses' Health Study II. We measured percent MD from screening mammograms using a computer-assisted method. We assayed estradiol, estrone, and estrone sulfate in blood samples timed in early follicular and mid-luteal phases of the menstrual cycle as well as testosterone, androstenedione, progesterone, dehydroepiandrosterone (DHEA), DHEA sulfate, sex hormone-binding globulin (SHBG), and anti-Müllerian hormone in luteal or untimed samples. We used multivariable linear regression to quantify the association of %MD with quartiles of each hormone, adjusting for age, body mass index, and breast cancer risk factors. Women in the highest quartile of follicular estradiol levels had significantly greater %MD compared to those in the lowest quartile [difference, 6.7 percentage points; 95% confidence interval (CI) 2.2, 11.3; p-trend < 0.001]. Similar associations were observed for follicular free estradiol but not luteal-phase estradiol. Also, women in the top (vs. bottom) quartile of free testosterone had significantly lower %MD (difference, - 4.7; 95% CI - 8.7, - 0.8; p-trend = 0.04). Higher SHBG was significantly associated with higher percent MD (difference, 4.8; 95% CI 1.1, 8.6; p-trend = 0.002). Percent MD was not strongly associated with other measured hormones. Results were similar in analyses that excluded women with anovulatory cycles. Our findings suggest that follicular estradiol and SHBG may play an important role in premenopausal percent MD.
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Affiliation(s)
- Kimberly A Bertrand
- Slone Epidemiology Center at Boston University, 72 East Concord Street, L-7, Boston, MA, 02118, USA.
| | - A Heather Eliassen
- Channing Division of Network Medicine, Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Susan E Hankinson
- Channing Division of Network Medicine, Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA
| | - Bernard A Rosner
- Channing Division of Network Medicine, Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Rulla M Tamimi
- Channing Division of Network Medicine, Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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31
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Genetic and environmental factors and serum hormones, and risk of estrogen receptor-positive breast cancer in pre- and postmenopausal Japanese women. Oncotarget 2017; 8:65759-65769. [PMID: 29029469 PMCID: PMC5630369 DOI: 10.18632/oncotarget.20182] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2017] [Accepted: 08/04/2017] [Indexed: 12/22/2022] Open
Abstract
Breast cancer incidence in Japanese women has more than tripled over the past two decades. We have previously shown that this marked increase is mostly due to an increase in the estrogen receptor (ER)-positive, HER2-negative subtype. We conducted a case-control study; ER-positive, HER2-negative breast cancer patients who were diagnosed since 2011 and women without disease were recruited. Environmental factors, serum levels of testosterone and 25-hydroxyvitamin D, and common genetic variants reported as predictors of ER-positive breast cancer or found in Asian women were evaluated between patients and controls in pre- and postmenopausal women. To identify important risk predictors, risk prediction models were created by logistic regression models. In premenopausal women, two environmental factors (history of breastfeeding, and history of benign breast disease) and four genetic variants (TOX3-rs3803662, ESR1-rs2046210, 8q24-rs13281615, and SLC4A7-rs4973768) were considered to be risk predictors, whereas three environmental factors (body mass index, history of breastfeeding, and hyperlipidemia), serum levels of testosterone and 25-hydroxyvitamin D, and two genetic variants (TOX3-rs3803662 and ESR1-rs2046210) were identified as risk predictors. Inclusion of common genetic variants and serum hormone measurements as well as environmental factors improved risk assessment models. The decline in the birthrate according to recent changes of lifestyle might be the main cause of the recent notable increase in the incidence of ER-positive breast cancer in Japanese women.
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32
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Zambrano JN, Neely BA, Yeh ES. Hormonally up-regulated neu-associated kinase: A novel target for breast cancer progression. Pharmacol Res 2017; 119:188-194. [PMID: 28189783 PMCID: PMC5392418 DOI: 10.1016/j.phrs.2017.02.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Revised: 02/06/2017] [Accepted: 02/07/2017] [Indexed: 12/26/2022]
Abstract
Hormonally up-regulated neu-associated Kinase (Hunk) is a protein kinase that was originally identified in the murine mammary gland and has been shown to be highly expressed in Human Epidermal Growth Factor Receptor 2 positive (HER2+/ErbB2+) breast cancer cell lines as well as MMTV-neu derived mammary tumor cell lines. However, the physiological role of Hunk has been largely elusive since its identification. Though Hunk is predicted to be a Serine/Threonine (Ser/Thr) protein kinase with homology to the SNF1/AMPK family of protein kinases, there are no known Hunk substrates that have been identified to date. Recent work demonstrates a role for Hunk in HER2+/ErbB2+ breast cancer progression, including drug resistance to HER2/ErbB2 inhibitors, with Hunk potentially acting downstream of HER2/ErbB2 and the PI3K/Akt pathway. These studies have collectively shown that Hunk plays a vital role in promoting mammary tumorigenesis, as Hunk knockdown via shRNA in xenograft tumor models or crossing MMTV-neu or Pten-deficient genetically engineered mouse models into a Hunk knockout (Hunk-/-) background impairs mammary tumor growth in vivo. Because the majority of HER2+/ErbB2+ breast cancer patients acquire drug resistance to HER2/ErbB2 inhibitors, the characterization of novel drug targets like Hunk that have the potential to simultaneously suppress tumorigenesis and potentially enhance efficacy of current therapeutics is an important facet of drug development. Therefore, work aimed at uncovering specific regulatory functions for Hunk that could contribute to this protein kinase's role in both tumorigenesis and drug resistance will be informative. This review focuses on what is currently known about this under-studied protein kinase, and how targeting Hunk may prove to be a potential therapeutic target for the treatment of breast cancer.
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Affiliation(s)
- Joelle N Zambrano
- Department of Cell and Molecular Pharmacology and Experimental Therapeutics, Medical University of South Carolina Charleston, SC, USA.
| | - Benjamin A Neely
- Marine Biochemical Sciences, National Institute of Standards and Technology, Charleston, SC, USA.
| | - Elizabeth S Yeh
- Department of Cell and Molecular Pharmacology and Experimental Therapeutics, Medical University of South Carolina Charleston, SC, USA.
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33
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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: 36] [Impact Index Per Article: 5.1] [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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Hirko KA, Spiegelman D, Barnett JB, Cho E, Willett WC, Hankinson SE, Eliassen AH. Dietary Patterns and Plasma Sex Hormones, Prolactin, and Sex Hormone-Binding Globulin in Premenopausal Women. Cancer Epidemiol Biomarkers Prev 2016; 25:791-8. [PMID: 26980437 DOI: 10.1158/1055-9965.epi-15-1019] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2015] [Accepted: 01/23/2016] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Sex hormones are important for breast cancer, but it is unclear whether dietary patterns influence hormone concentrations. METHODS Dietary pattern adherence scores for the alternate Mediterranean diet (aMED), Dietary Approaches to Stop Hypertension (DASH), and Alternative Healthy Eating Index (AHEI) were calculated from semiquantitative food frequency questionnaires administered in 1995 and 1999. Premenopausal plasma concentrations of sex hormones were measured in samples collected in 1996 to 1999. We used generalized linear models to calculate geometric mean hormone concentrations across quartiles of dietary pattern scores among 1,990 women in the Nurses' Health Study II. RESULTS We did not observe significant associations between sex hormone concentrations and the DASH pattern and only one suggestive association between follicular estrone concentrations and the aMED pattern [top vs. bottom quartile -4.4%, 95% confidence interval (CI), -10.6% to 2.1%; Ptrend = 0.06]. However, women in the top versus bottom quartile of AHEI score had lower concentrations of follicular (-9.1%; 95% CI, -16.1% to -1.4%; Ptrend = 0.04) and luteal (-7.5%; 95% CI, -13.6% to -0.9%; Ptrend = 0.01) estrone, luteal-free (-9.3%; 95% CI, -16.8% to -1.1%; Ptrend = 0.01) and total (-6.7 %; 95% CI, -14.3% to 1.5%; Ptrend = 0.04) estradiol, follicular estradiol (-14.2%; 95% CI, -24.6% to -2.4%; Ptrend = 0.05), and androstenedione (-7.8%; 95% CI, -15.4% to 0.4%; Ptrend = 0.03). CONCLUSION Diet quality measured by the AHEI is inversely associated with premenopausal estrogen concentrations. Given that we did not observe similar associations with the aMED or DASH patterns, our findings should be interpreted with caution. IMPACT Given the role of estrogens in breast cancer etiology, our findings add to the substantial evidence on the benefits of adhering to a healthy diet. Cancer Epidemiol Biomarkers Prev; 25(5); 791-8. ©2016 AACR.
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Affiliation(s)
- Kelly A Hirko
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan.
| | - Donna Spiegelman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, 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
| | - Junaidah B Barnett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. Nutritional Immunology Laboratory, Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts. Friedman School of Nutrition Science & Policy, Tufts University, Boston, Massachusetts
| | - Eunyoung Cho
- Department of Dermatology, The Warren Alpert Medical School of Brown University, Providence, Rhode Island. Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island
| | - Walter C Willett
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts. Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. Department of Nutrition, 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, Harvard Medical School, Boston, Massachusetts. Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, Massachusetts
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts. Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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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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Gehring C, Siepmann T, Heidegger H, Jeschke U. The controversial role of human chorionic gonadotropin in the development of breast cancer and other types of tumors. Breast 2016; 26:135-40. [PMID: 27017252 DOI: 10.1016/j.breast.2016.01.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2015] [Revised: 01/21/2016] [Accepted: 01/29/2016] [Indexed: 12/16/2022] Open
Abstract
INTRODUCTION Breast cancer is the most often diagnosed tumor of women and one of the leading cause of cancer related death. Due to different known risk factors there are epidemiological differences. Beside genetic disorders and patient's age it is especially the age of the first full-term pregnancy and in this context the pregnancy hormone human chorionic gonadotropin that seems to play an important role. METHODS This review is based on a PubMed research in publications of the last 20 years. Only articles in English language were considered. RESULTS The effect of human chorionic gonadotropin on development of cancer is controversial. In fact, for breast cancer there is evidence that this hormone has a protective effect against tumorigenesis due the differentiation of the mammary tissue after a full term pregnancy through the downregulation of estrogen receptors. CONCLUSION Human chorionic gonadotropin has among promoting pregnancy important controversial functions especially in tumor development. The mechanisms that explain the pro- and anti-carcinogenic effects are not fully understood yet. It seems to have a protective effect on breast cancer through increasing differentiation and hereby decreasing susceptibility of the mammary tissue for toxicants. This knowledge might help developing a preventive agent in the next future that uses the anti-carcinogenic effect of human chorionic gonadotropin and thereby decrease the mortality out of breast cancer.
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Affiliation(s)
- Caroline Gehring
- Department of Obstetrics and Gynecology, Ludwig-Maximilians-University Hospital, Maistrasse 11, 80337 Munich, Germany.
| | - Timo Siepmann
- Department of Neurology, Institute of Clinical Pharmacology, University Hospital Carl Gustav Carus, Freiberger Str. 37, 01067 Dresden, Germany.
| | - Helene Heidegger
- Department of Obstetrics and Gynecology, Ludwig-Maximilians-University Hospital, Maistrasse 11, 80337 Munich, Germany.
| | - Udo Jeschke
- Department of Obstetrics and Gynecology, Ludwig-Maximilians-University Hospital, Maistrasse 11, 80337 Munich, Germany.
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Lambertini M, Del Mastro L, Pescio MC, Andersen CY, Azim HA, Peccatori FA, Costa M, Revelli A, Salvagno F, Gennari A, Ubaldi FM, La Sala GB, De Stefano C, Wallace WH, Partridge AH, Anserini P. Cancer and fertility preservation: international recommendations from an expert meeting. BMC Med 2016; 14:1. [PMID: 26728489 PMCID: PMC4700580 DOI: 10.1186/s12916-015-0545-7] [Citation(s) in RCA: 332] [Impact Index Per Article: 41.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2015] [Accepted: 12/16/2015] [Indexed: 12/28/2022] Open
Abstract
In the last years, thanks to the improvement in the prognosis of cancer patients, a growing attention has been given to the fertility issues. International guidelines on fertility preservation in cancer patients recommend that physicians discuss, as early as possible, with all patients of reproductive age their risk of infertility from the disease and/or treatment and their interest in having children after cancer, and help with informed fertility preservation decisions. As recommended by the American Society of Clinical Oncology and the European Society for Medical Oncology, sperm cryopreservation and embryo/oocyte cryopreservation are standard strategies for fertility preservations in male and female patients, respectively; other strategies (e.g. pharmacological protection of the gonads and gonadal tissue cryopreservation) are considered experimental techniques. However, since then, new data have become available, and several issues in this field are still controversial and should be addressed by both patients and their treating physicians.In April 2015, physicians with expertise in the field of fertility preservation in cancer patients from several European countries were invited in Genova (Italy) to participate in a workshop on the topic of "cancer and fertility preservation". A total of ten controversial issues were discussed at the conference. Experts were asked to present an up-to-date review of the literature published on these topics and the presentation of own unpublished data was encouraged. On the basis of the data presented, as well as the expertise of the invited speakers, a total of ten recommendations were discussed and prepared with the aim to help physicians in counseling their young patients interested in fertility preservation.Although there is a great interest in this field, due to the lack of large prospective cohort studies and randomized trials on these topics, the level of evidence is not higher than 3 for most of the recommendations highlighting the need of further research efforts in many areas of this field. The participation to the ongoing registries and prospective studies is crucial to acquire more robust information in order to provide evidence-based recommendations.
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Affiliation(s)
- Matteo Lambertini
- Department of Medical Oncology, U.O. Oncologia Medica 2, IRCCS AOU San Martino - IST, Genoa, Italy.
| | - Lucia Del Mastro
- Department of Medical Oncology, U.O. Sviluppo Terapie Innovative, IRCCS AOU San Martino - IST, Genoa, Italy
| | - Maria C Pescio
- Physiopathology of Human Reproduction, IRCCS AOU San Martino - IST, Genoa, Italy
| | - Claus Y Andersen
- Laboratory of Reproductive Biology, Section 5712, Juliane Marie Centre for Women, Children and Reproduction, University Hospital of Copenhagen, Copenhagen, Denmark
| | - Hatem A Azim
- BrEAST Data Centre, Department of Medicine, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Fedro A Peccatori
- Fertility and Procreation Unit, Gynecologic Oncology Department, European Institute of Oncology, Milan, Italy
| | - Mauro Costa
- Reproductive Medicine Department, International Evangelic Hospital, Genoa, Italy
| | - Alberto Revelli
- Physiopathology of Reproduction and In Vitro Fertilization Unit, S. Anna Hospital, University of Turin, Turin, Italy
| | - Francesca Salvagno
- Physiopathology of Reproduction and In Vitro Fertilization Unit, S. Anna Hospital, University of Turin, Turin, Italy
| | | | - Filippo M Ubaldi
- GENERA Centre for Reproductive Medicine, Clinica Valle Giulia, Rome, Italy
| | - Giovanni B La Sala
- Obstetric and Gynecology Department, Azienda Ospedaliera Arcispedale S. Maria Nuova-IRCCS, University of Modena and Reggio Emilia, Reggio Emilia, Italy
| | - Cristofaro De Stefano
- Children and Women Health Department, Physiopathology of Human Reproduction Unit, "San Giuseppe Moscati" Hospital, Avellino, Italy
| | - W Hamish Wallace
- Department of Haematology/Oncology, Royal Hospital for Sick Children, and Department of Child Life and Health, University of Edinburgh, Edinburgh, UK
| | - Ann H Partridge
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Paola Anserini
- Physiopathology of Human Reproduction, IRCCS AOU San Martino - IST, Genoa, Italy
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Mueller JW, Gilligan LC, Idkowiak J, Arlt W, Foster PA. The Regulation of Steroid Action by Sulfation and Desulfation. Endocr Rev 2015; 36:526-63. [PMID: 26213785 PMCID: PMC4591525 DOI: 10.1210/er.2015-1036] [Citation(s) in RCA: 265] [Impact Index Per Article: 29.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2015] [Accepted: 07/21/2015] [Indexed: 12/14/2022]
Abstract
Steroid sulfation and desulfation are fundamental pathways vital for a functional vertebrate endocrine system. After biosynthesis, hydrophobic steroids are sulfated to expedite circulatory transit. Target cells express transmembrane organic anion-transporting polypeptides that facilitate cellular uptake of sulfated steroids. Once intracellular, sulfatases hydrolyze these steroid sulfate esters to their unconjugated, and usually active, forms. Because most steroids can be sulfated, including cholesterol, pregnenolone, dehydroepiandrosterone, and estrone, understanding the function, tissue distribution, and regulation of sulfation and desulfation processes provides significant insights into normal endocrine function. Not surprisingly, dysregulation of these pathways is associated with numerous pathologies, including steroid-dependent cancers, polycystic ovary syndrome, and X-linked ichthyosis. Here we provide a comprehensive examination of our current knowledge of endocrine-related sulfation and desulfation pathways. We describe the interplay between sulfatases and sulfotransferases, showing how their expression and regulation influences steroid action. Furthermore, we address the role that organic anion-transporting polypeptides play in regulating intracellular steroid concentrations and how their expression patterns influence many pathologies, especially cancer. Finally, the recent advances in pharmacologically targeting steroidogenic pathways will be examined.
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Affiliation(s)
- Jonathan W Mueller
- Centre for Endocrinology, Diabetes, and Metabolism, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham B15 2TT, United Kingdom
| | - Lorna C Gilligan
- Centre for Endocrinology, Diabetes, and Metabolism, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham B15 2TT, United Kingdom
| | - Jan Idkowiak
- Centre for Endocrinology, Diabetes, and Metabolism, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham B15 2TT, United Kingdom
| | - Wiebke Arlt
- Centre for Endocrinology, Diabetes, and Metabolism, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham B15 2TT, United Kingdom
| | - Paul A Foster
- Centre for Endocrinology, Diabetes, and Metabolism, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham B15 2TT, United Kingdom
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Breast cancer risk factors. MENOPAUSE REVIEW 2015; 14:196-202. [PMID: 26528110 PMCID: PMC4612558 DOI: 10.5114/pm.2015.54346] [Citation(s) in RCA: 114] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/13/2015] [Revised: 07/03/2015] [Accepted: 07/16/2015] [Indexed: 12/13/2022]
Abstract
Breast cancer is the most frequently diagnosed neoplastic disease in women around menopause often leading to a significant reduction of these women's ability to function normally in everyday life. The increased breast cancer incidence observed in epidemiological studies in a group of women actively participating in social and professional life implicates the necessity of conducting multidirectional studies in order to identify risk factors associated with the occurrence of this type of neoplasm. Taking the possibility of influencing the neoplastic transformation process in individuals as a criterion, all the risk factors initiating the process can be divided into two groups. The first group would include inherent factors such as age, sex, race, genetic makeup promoting familial occurrence of the neoplastic disease or the occurrence of benign proliferative lesions of the mammary gland. They all constitute independent parameters and do not undergo simple modification in the course of an individual's life. The second group would include extrinsic factors conditioned by lifestyle, diet or long-term medical intervention such as using oral hormonal contraceptives or hormonal replacement therapy and their influence on the neoplastic process may be modified to a certain degree. Identification of modifiable factors may contribute to development of prevention strategies decreasing breast cancer incidence.
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Oh H, Smith-Warner SA, Tamimi RM, Wang M, Xu X, Hankinson SE, Fuhrman BJ, Ziegler RG, Eliassen AH. Dietary Fat and Fiber Intakes Are Not Associated with Patterns of Urinary Estrogen Metabolites in Premenopausal Women. J Nutr 2015; 145:2109-16. [PMID: 26180245 PMCID: PMC4548163 DOI: 10.3945/jn.115.212779] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2015] [Revised: 04/02/2015] [Accepted: 06/18/2015] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Interindividual differences in the bioavailability of potentially carcinogenic estrogen and estrogen metabolites (EMs) may play a role in the risk of breast cancer. OBJECTIVE We examined whether dietary intakes of fiber and fat influence premenopausal EM profiles through effects on estrogen synthesis, metabolism, or excretion. METHODS We conducted a cross-sectional analysis of 598 premenopausal women who participated in a reproducibility study (n = 109) or served as controls in a nested case-control study of breast cancer (n = 489) within the Nurses' Health Study II. Dietary intakes of fiber and fat were assessed via semiquantitative food frequency questionnaires in 1995 and 1999. Midluteal urine samples were collected between 1996 and 1999 and EMs were quantified with the use of HPLC-tandem mass spectrometry. Linear mixed models were used to estimate creatinine-adjusted geometric means for individual EMs and their pathway groups across categories of dietary intake while controlling for total energy intake and potential confounders. RESULTS Higher total dietary fiber intake (>25 g/d vs. ≤15 g/d) was associated with significantly higher concentrations of 4-methoxyestradiol (50% difference, P-difference = 0.01, P-trend = 0.004) and lower concentrations of 17-epiestriol (-27% difference, P-difference = 0.03, P-trend = 0.03), but was not associated with any other EMs. The associations did not vary by fiber intake from different sources. Total fat intake (>35% energy vs. ≤25% energy) was suggestively positively associated with 17-epiestriol (22.6% difference, P-difference = 0.14, P-trend = 0.06); the association was significant for polyunsaturated fatty acid (37% difference, P-difference = 0.01, P-trend = 0.01) and trans fat (36.1% difference, P-difference = 0.01, P-trend = 0.01) intakes. CONCLUSION Fiber and fat intakes were not strongly associated with patterns of estrogen metabolism in premenopausal women. Our data suggest estrogen metabolism is not a major mechanism through which dietary fiber and fat may affect breast or other hormone-related cancer risks.
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Affiliation(s)
- Hannah Oh
- Department of Epidemiology, Department of Nutrition, and Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA;
| | | | - Rulla M Tamimi
- Department of Epidemiology, Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Molin Wang
- Department of Epidemiology, Department of Biostatistics, Harvard School of Public Health, Boston, MA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Xia Xu
- Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD
| | - Susan E Hankinson
- Department of Epidemiology, Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Division of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA
| | - Barbara J Fuhrman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD; and Department of Epidemiology, Fay W Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR
| | - Regina G Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD; and
| | - A Heather Eliassen
- Department of Epidemiology, Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
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History of uterine leiomyomata and incidence of breast cancer. Cancer Causes Control 2015; 26:1487-93. [PMID: 26250515 DOI: 10.1007/s10552-015-0647-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2015] [Accepted: 07/28/2015] [Indexed: 01/02/2023]
Abstract
PURPOSE Uterine leiomyomata (UL), benign tumors of the myometrium, are influenced by sex steroid hormones. A history of UL diagnosis has been associated with a higher risk of uterine malignancies. The relation between UL and breast cancer, another hormonally responsive cancer, has not been studied. METHODS We investigated the association between self-reported physician-diagnosed UL and incidence of breast cancer in the Black Women's Health Study, a prospective cohort study. We followed 57,747 participants without a history of breast cancer from 1995 to 2013. UL diagnoses were reported at baseline and biennially. Breast cancer was reported on biennial questionnaires and confirmed by pathology data from medical records or cancer registries. Cox regression was used to derive incidence rate ratios (IRRs) and 95 % confidence intervals (CI) and adjust for potential confounders. RESULTS There were 2,276 incident cases of breast cancer (1,699 invasive, 394 in situ, and 183 unknown) during 879,672 person-years of follow-up. The multivariable IRR for the overall association between history of UL and breast cancer incidence was 0.99 (95 % CI 0.90-1.08), with similar results for ER + (IRR = 1.03) and ER - breast cancer (IRR = 1.05). IRRs for early diagnosis of UL (before age 30) were slightly above 1.0, with IRRs of 1.14 (95 % CI 0.99-1.31) for overall breast cancer, 1.14 (95 % CI 0.93-1.40) for ER + breast cancer, and 1.20 (95 % CI 0.89-1.61) for ER - breast cancer. IRRs for early diagnosis of UL were elevated for breast cancer diagnosed before 40 years of age (IRR = 1.39, 95 % CI 0.97-1.99) and premenopausal breast cancer (IRR = 1.26, 95 % CI 1.01-1.58). No consistent patterns in risk were observed across estrogen receptor subtypes, and IRRs did not differ appreciably within strata of BMI, female hormone use, mammography recency, or family history of breast cancer. CONCLUSIONS The present study of US black women suggests that a history of UL diagnosis is unrelated to the incidence of breast cancer overall. The positive associations observed for early diagnosed UL with breast cancer before age 40 and with premenopausal breast cancer require confirmation in future studies.
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Sisti JS, Hankinson SE, Caporaso NE, Gu F, Tamimi RM, Rosner B, Xu X, Ziegler R, Eliassen AH. Caffeine, coffee, and tea intake and urinary estrogens and estrogen metabolites in premenopausal women. Cancer Epidemiol Biomarkers Prev 2015; 24:1174-83. [PMID: 26063478 PMCID: PMC4526325 DOI: 10.1158/1055-9965.epi-15-0246] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2015] [Accepted: 05/22/2015] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Prior studies have found weak inverse associations between breast cancer and caffeine and coffee intake, possibly mediated through their effects on sex hormones. METHODS High-performance liquid chromatography/tandem mass spectrometry was used to quantify levels of 15 individual estrogens and estrogen metabolites (EM) among 587 premenopausal women in the Nurses' Health Study II with mid-luteal phase urine samples and caffeine, coffee, and/or tea intakes from self-reported food frequency questionnaires. Multivariate linear mixed models were used to estimate geometric means of individual EM, pathways, and ratios by intake categories, and P values for tests of linear trend. RESULTS Compared with women in the lowest quartile of caffeine consumption, those in the top quartile had higher urinary concentrations of 16α-hydroxyestrone (28% difference; Ptrend = 0.01) and 16-epiestriol (13% difference; Ptrend = 0.04), and a decreased parent estrogens/2-, 4-, 16-pathway ratio (Ptrend = 0.03). Coffee intake was associated with higher 2-catechols, including 2-hydroxyestradiol (57% difference, ≥4 cups/day vs. ≤6 cups/week; Ptrend = 0.001) and 2-hydroxyestrone (52% difference; Ptrend = 0.001), and several ratio measures. Decaffeinated coffee was not associated with 2-pathway metabolism, but women in the highest (vs. lowest) category of intake (≥2 cups/day vs. ≤1-3 cups/month) had significantly lower levels of two 16-pathway metabolites, estriol (25% difference; Ptrend = 0.01) and 17-epiestriol (48% difference; Ptrend = 0.0004). Tea intake was positively associated with 17-epiestriol (52% difference; Ptrend = 0.01). CONCLUSION Caffeine and coffee intake were both associated with profiles of estrogen metabolism in premenopausal women. IMPACT Consumption of caffeine and coffee may alter patterns of premenopausal estrogen metabolism.
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Affiliation(s)
- Julia S Sisti
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
| | - Susan E Hankinson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts. Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, Massachusetts
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Fangyi Gu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Rulla M Tamimi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Bernard Rosner
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Xia Xu
- Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Regina Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - A Heather Eliassen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
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Guo W, Wang W, Zhu Y, Zhu X, Shi Z, Wang Y. HER2 status in molecular apocrine breast cancer: associations with clinical, pathological, and molecular features. INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL PATHOLOGY 2015; 8:8008-17. [PMID: 26339367 PMCID: PMC4555695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 05/14/2015] [Accepted: 06/26/2015] [Indexed: 06/05/2023]
Abstract
Molecular apocrine breast cancer (MABC) is a distinct subtype of breast cancer. The purpose of this study was to investigate the relationship between HER2 status and clinicopathologic characteristics of MABCs from Chinese Han cohort. A cohort of 90 MABC patients were enrolled. Immunohistochemical method was performed to analyze the molecular expression, and the human epidermal growth factor receptor 2 (HER2) amplification was verified by fluorescence in situ hybridization (FISH). By studying these 90 MABC cases, the majority of studied patients were premenopausal young women (median age 48 yr) with high grade tumors. We also found that MABCs had high positive expression rates of HER2, CK8, CD44, CD166, p53 and BRCA1, the elevated Ki-67 labeling index, and favorable prognosis. There was a significantly higher incidence of lymph node metastasis and lower CD166 positive rate in HER2-negative patients compared to HER2-positive patients (54.5% vs. 37.0%, P = 0.044 and 72.7% vs. 91.3%, P = 0.021, respectively). The CK5/6 and EGFR expression rates were significant higher in HER2-negative cases than in HER2-positive cases, suggesting that there is overlap between MABC with HER2-negative phenotype and basal-like breast cancer. In addition, HER2 positive was found to be significantly associated a poor overall survival in MABCs. In conclusion, HER2 are highly expressed, and HER2 positivity could be considered as a significant biomarker of poor prognosis in MABC. The results also suggest that a subtype tumor with distinct patterns of molecule expression depending on HER2 status presented in MABC.
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Affiliation(s)
- Wenwen Guo
- Department of Pathology, The Second Affiliated Hospital of Nanjing Medical UniversityNanjing 210011, China
- Clinical Molecular Diagnostic Center, The Second Affiliated Hospital of Nanjing Medical UniversityNanjing 210011, China
| | - Wei Wang
- Department of Breast Surgery, Xuzhou Central HospitalXuzhou 221009, China
| | - Yun Zhu
- Department of Pathology, The First Affiliated Hospital with Nanjing Medical UniversityNanjing 210029, China
| | - Xiaojing Zhu
- Department of Pathology, Jiangsu Province Academy of Traditional Chinese MedicineNanjing 210028, China
| | - Zhongyuan Shi
- Department of Pathology, Jiangsu Province Academy of Traditional Chinese MedicineNanjing 210028, China
| | - Yan Wang
- Department of Pathology, The Second Affiliated Hospital of Nanjing Medical UniversityNanjing 210011, China
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Brown SB, Hankinson SE. Endogenous estrogens and the risk of breast, endometrial, and ovarian cancers. Steroids 2015; 99:8-10. [PMID: 25555473 DOI: 10.1016/j.steroids.2014.12.013] [Citation(s) in RCA: 102] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2014] [Accepted: 12/18/2014] [Indexed: 02/07/2023]
Abstract
Data from laboratory and epidemiologic studies support a relationship between endogenous hormones and the increased risk of several female cancers. In epidemiologic studies, consistent associations have been observed between risk of breast, ovarian and endometrial cancers and reproductive and hormonal risk factors such as high postmenopausal body mass index (BMI) and postmenopausal hormone use, which suggest the importance of endogenous hormones in the etiology of these diseases. The relationship between circulating estrogen levels in postmenopausal women and the risk of breast cancer is well established, with an approximately 2-fold higher risk among women in the top 20-25% (versus bottom 20-25%) of levels. However, data evaluating the relationship between endogenous estrogens and premenopausal breast cancer risk are more limited and less consistent. Two studies to date have evaluated the relationship between circulating estrogens and breast cancer risk by menstrual cycle phase at blood collection and only one study has examined this relationship by menopausal status at diagnosis. Three prospective studies have evaluated circulating estrogen levels and endometrial cancer risk in postmenopausal women, with consistent strong positive associations reported (with relative risks of 2-4 comparing high versus low hormone levels), while this relationship has not been studied in premenopausal women. Compared to breast and endometrial cancers, reproductive and hormonal characteristics such as postmenopausal hormone use are generally weaker and less consistent risk factors for ovarian cancer, and the only small prospective study conducted to date indicated a non-significant positive relationship between circulating estrogen levels and ovarian cancer risk. In this review, we summarize current evidence and identify key areas to be addressed in future epidemiologic studies of endogenous estrogens and the risk of breast, endometrial, and ovarian cancers.
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Affiliation(s)
- Susan B Brown
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA 01003, USA
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA 01003, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
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Gennari A, Costa M, Puntoni M, Paleari L, De Censi A, Sormani MP, Provinciali N, Bruzzi P. Breast cancer incidence after hormonal treatments for infertility: systematic review and meta-analysis of population-based studies. Breast Cancer Res Treat 2015; 150:405-13. [PMID: 25744295 DOI: 10.1007/s10549-015-3328-0] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2015] [Accepted: 02/28/2015] [Indexed: 10/23/2022]
Abstract
The increasing practice of hormonal infertility treatments (HITs) raised concerns about their effects on breast cancer (BC) risk. Available evidence reported conflicting results. The aim of this study was to assess the potential association between HITs and BC risk. The literature was searched through November 2014. Eligible studies included cohort studies reporting BC incidence in women undergone HITs. Data were analyzed with standard meta-analytic techniques. Subgroup analyses were performed by type of intervention (IVF vs. NO IVF), follow-up duration (<10 vs. >10 years), and type of control (population vs. infertile). 20 eligible studies (207.914 women, 2347 BC) were retrieved: no increased risk was detected (SRR = 1.05, 95 % CI 0.96-1.14), with a significant heterogeneity (I (2) = 59 %, p = 0.001) among studies. In the seven studies with the in vitro fertilization (IVF) procedure, no increase in BC risk was observed (SRR = 0.96, 95 % CI 0.80-1.14); in the three NO IVF studies, an increased BC risk was identified (SRR = 1.26, 95 %CI 1.06-1.50). A borderline interaction between type of intervention (IVF vs. NO IVF) and BC risk was observed (p = 0.06). An increased risk with longer follow-up (≥10 vs. <10 years) was detected (SRR = 1.13, 95 % CI 1.02-1.26 vs. SRR = 0.95, 95 % CI 0.85-1.06). Overall, HITs are not associated with an increased BC risk. In particular, no increased risk was observed in women undergoing IVF. Conversely, an increased in BC risk cannot be ruled out with older treatment protocols based on clomiphene. The long-term administration of clomiphene outside the current indications should be discouraged because of a possible increase in BC risk.
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Affiliation(s)
- Alessandra Gennari
- S.C. Oncologia Medica, E.O. Ospedali Galliera, Via Volta 6, 16128, Genoa, Italy,
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Winter AC, Rice MS, Fortner RT, Eliassen AH, Kurth T, Tamimi RM. Migraine and breast cancer risk: a prospective cohort study and meta-analysis. J Natl Cancer Inst 2014; 107:381. [PMID: 25505231 DOI: 10.1093/jnci/dju381] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The evidence for an association between migraine and breast cancer risk is inconclusive. While female sex hormones have been proposed as one underlying mechanism, data on sex hormone levels in migraineurs are sparse. METHODS We prospectively evaluated the association between migraine and breast cancer risk among 115378 Nurses' Health Study II participants using Cox proportional hazards models. Differences in endogenous sex hormone levels according to migraine status were assessed among 2034 premenopausal women using linear regression. We performed a meta-analysis of studies investigating the association between migraine and invasive breast cancer risk published through October 2013. All statistical tests were two-sided. RESULTS Seventeen thousand six hundred ninety-six women (15.3%) reported a physician's diagnosis of migraine at baseline. Over 20 years of follow-up, 833 in situ and 3091 invasive breast malignancies occurred. Migraine was not associated with total (hazard ratio [HR] = 0.96, 95% confidence interval [CI] = 0.88 to 1.04), in situ (HR = 0.97, 95% CI = 0.82 to 1.15), or invasive breast cancer risk (HR = 0.95, 95% CI = 0.87 to 1.04). Endogenous sex hormone levels did not differ according to migraine status. In the meta-analysis, migraine was associated with a lower risk of breast cancer overall (pooled risk ratio [RR] = 0.84, 95% CI = 0.73 to 0.98). However, this inverse association was apparent only among case-control studies (pooled RR = 0.72, 95% CI = 0.66 to 0.79), and not among cohort studies (pooled RR = 0.98, 95% CI = 0.87 to 1.10). CONCLUSION In this large cohort study, migraine was not associated with breast cancer risk or differences in endogenous sex hormone levels. While case-control studies suggest an inverse association between migraine and breast cancer risk, prospective cohort studies do not support an association in pooled analyses.
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Affiliation(s)
- Anke C Winter
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO (ACW); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MSR, RTF, AHE, RMT); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MSR, RTF, AHE, RMT); Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (TK); Team Neuroepidemiology, INSERM Research Center for Epidemiology and Biostatistics (U897), Bordeaux, France (TK); University of Bordeaux, Bordeaux, France (TK)
| | - Megan S Rice
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO (ACW); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MSR, RTF, AHE, RMT); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MSR, RTF, AHE, RMT); Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (TK); Team Neuroepidemiology, INSERM Research Center for Epidemiology and Biostatistics (U897), Bordeaux, France (TK); University of Bordeaux, Bordeaux, France (TK)
| | - Renée T Fortner
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO (ACW); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MSR, RTF, AHE, RMT); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MSR, RTF, AHE, RMT); Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (TK); Team Neuroepidemiology, INSERM Research Center for Epidemiology and Biostatistics (U897), Bordeaux, France (TK); University of Bordeaux, Bordeaux, France (TK)
| | - A Heather Eliassen
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO (ACW); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MSR, RTF, AHE, RMT); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MSR, RTF, AHE, RMT); Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (TK); Team Neuroepidemiology, INSERM Research Center for Epidemiology and Biostatistics (U897), Bordeaux, France (TK); University of Bordeaux, Bordeaux, France (TK)
| | - Tobias Kurth
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO (ACW); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MSR, RTF, AHE, RMT); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MSR, RTF, AHE, RMT); Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (TK); Team Neuroepidemiology, INSERM Research Center for Epidemiology and Biostatistics (U897), Bordeaux, France (TK); University of Bordeaux, Bordeaux, France (TK)
| | - Rulla M Tamimi
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO (ACW); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (MSR, RTF, AHE, RMT); Department of Epidemiology, Harvard School of Public Health, Boston, MA (MSR, RTF, AHE, RMT); Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (TK); Team Neuroepidemiology, INSERM Research Center for Epidemiology and Biostatistics (U897), Bordeaux, France (TK); University of Bordeaux, Bordeaux, France (TK)
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Hirko KA, Spiegelman D, Willett WC, Hankinson SE, Eliassen AH. Alcohol consumption in relation to plasma sex hormones, prolactin, and sex hormone-binding globulin in premenopausal women. Cancer Epidemiol Biomarkers Prev 2014; 23:2943-53. [PMID: 25281368 PMCID: PMC4257878 DOI: 10.1158/1055-9965.epi-14-0982] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Alcohol consumption is a consistent risk factor for breast cancer, and evidence suggests premenopausal plasma hormones are associated with breast cancer. METHODS Plasma concentrations of estradiol, estrone, estrone sulfate, testosterone, androstenedione, progesterone, prolactin, dehydroepiandrosterone (DHEA), dehydroepiandrosterone sulfate (DHEAS), and sex hormone-binding globulin (SHBG) were measured in samples collected in 1996-99. Average alcohol intake was calculated from semiquantitative food frequency questionnaires collected in 1995 and 1999. We used generalized linear models to calculate geometric mean hormone concentrations across alcohol categories and the percentage difference for the highest versus lowest category. RESULTS Comparing women who consumed >20 g/d with nondrinkers, levels were 25.7% higher for luteal estrone (geometric mean, 106 vs. 84.5 pg/mL; Ptrend = 0.001), 27.2% higher for luteal estradiol (182 vs. 143 pg/mL; Ptrend = 0.006), and 16.8% higher for SHBG (85.6 vs. 73.3 nmol/L; Ptrend = 0.03); concentrations of free testosterone were 17.9% lower (0.16 vs. 0.20 ng/dL; Ptrend = 0.002). Women consuming >10 g/d compared with nondrinkers had 26.5% higher concentrations of follicular estrone sulfate (950 vs. 751 pg/mL; Ptrend = 0.04). We did not observe significant associations between alcohol and the other sex hormones evaluated. Significant positive associations were observed with beer intake, but not other alcohol types, for DHEA (Pinteraction = 0.003) and androstenedione (Pinteraction = 0.006). CONCLUSION Alcohol consumption was significantly positively associated with plasma luteal estrogen concentrations, but not with androgen levels, nor estrone or estradiol measured in the follicular phase. IMPACT Differences in premenopausal estrogen levels may contribute to the association between alcohol and breast cancer.
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Affiliation(s)
- Kelly A Hirko
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts. Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts.
| | - Donna Spiegelman
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts. Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts. Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts
| | - Walter C Willett
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts. Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts. Department of Nutrition, Harvard 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 School of Public Health, Boston, Massachusetts. Division of Biostatistics and Epidemiology, University of Massachusetts, Amherst, Massachusetts
| | - 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 School of Public Health, Boston, Massachusetts
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Suba Z. Diverse pathomechanisms leading to the breakdown of cellular estrogen surveillance and breast cancer development: new therapeutic strategies. DRUG DESIGN DEVELOPMENT AND THERAPY 2014; 8:1381-90. [PMID: 25246776 PMCID: PMC4166254 DOI: 10.2147/dddt.s70570] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Recognition of the two main pathologic mechanisms equally leading to breast cancer development may provide explanations for the apparently controversial results obtained by sexual hormone measurements in breast cancer cases. Either insulin resistance or estrogen receptor (ER) defect is the initiator of pathologic processes and both of them may lead to breast cancer development. Primary insulin resistance induces hyperandrogenism and estrogen deficiency, but during these ongoing pathologic processes, ER defect also develops. Conversely, when estrogen resistance is the onset of hormonal and metabolic disturbances, initial counteraction is hyperestrogenism. Compensatory mechanisms improve the damaged reactivity of ERs; however, their failure leads to secondary insulin resistance. The final stage of both pathologic pathways is the breakdown of estrogen surveillance, leading to breast cancer development. Among premenopausal breast cancer cases, insulin resistance is the preponderant initiator of alterations with hyperandrogenism, which is reflected by the majority of studies suggesting a causal role of hyperandrogenism in breast cancer development. In the majority of postmenopausal cases, tumor development may also be initiated by insulin resistance, while hyperandrogenism is typically coupled with elevated estrogen levels within the low postmenopausal hormone range. This mild hyperestrogenism is the remnant of reactive estrogen synthesis against refractory ERs that were successfully counteracted at a younger age. When refractoriness of ERs is the initiator of pathologic processes, reactively increased estrogen levels may be found in both young and older breast cancer cases, while they may exhibit clinical symptoms of estrogen deficiency. Studies justifying a causal correlation between hyperestrogenism and tumor development compile such breast cancer cases. In conclusion, the quantitative evaluation of ER refractoriness in breast cancer cases has great importance, since the stronger the estrogen resistance, the higher the promising dose of estrogen therapy.
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Zheng Y, Yu B, Alexander D, Steffen LM, Nettleton JA, Boerwinkle E. Metabolomic patterns and alcohol consumption in African Americans in the Atherosclerosis Risk in Communities Study. Am J Clin Nutr 2014; 99:1470-8. [PMID: 24760976 PMCID: PMC4021786 DOI: 10.3945/ajcn.113.074070] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Effects of alcohol consumption on health and disease are complex and involve a number of cellular and metabolic processes. OBJECTIVE We examined the association between alcohol consumption habits and metabolomic profiles. DESIGN We conducted a cross-sectional study to explore the association of alcohol consumption habits measured by using a questionnaire with serum metabolites measured by using untargeted mass spectrometry in 1977 African Americans from the Jackson field center in the Atherosclerosis Risk in Communities Study. The whole sample was split into a discovery set (n = 1500) and a replication set (n = 477). Alcohol consumption habits were treated as an ordinal variable, with nondrinkers as the reference group and quartiles of current drinkers as ordinal groups with higher values. For each metabolite, a linear regression was conducted to estimate its relation with alcohol consumption habits separately in both sets. A modified Bonferroni procedure was used in the discovery set to adjust the significance threshold (P < 1.9 × 10⁻⁴). RESULTS In 356 named metabolites, 39 metabolites were significantly associated with alcohol consumption habits in both discovery and replication sets. In general, alcohol consumption was associated with higher levels of most metabolites such as those in amino acid and lipid pathways and with lower levels of γ-glutamyl dipeptides. Three pathways, 2-hydroxybutyrate-related metabolites, γ-glutamyl dipeptides, and lysophosphatidylcholines, which are considered to be involved in inflammation and oxidation, were associated with incident cardiovascular diseases. CONCLUSIONS To our knowledge, this is the largest metabolomic study thus far conducted in nonwhites. Metabolomic biomarkers of alcohol consumption were identified and replicated. The results lend new insight into potential mediating effects between alcohol consumption and future health and disease.
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Affiliation(s)
- Yan Zheng
- From the Division of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Science Center at Houston, Houston, TX (YZ, BY, JAN, and EB); Metabolon Inc, Durham, NC (DA); the Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN (LMS); and the Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (EB)
| | - Bing Yu
- From the Division of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Science Center at Houston, Houston, TX (YZ, BY, JAN, and EB); Metabolon Inc, Durham, NC (DA); the Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN (LMS); and the Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (EB)
| | - Danny Alexander
- From the Division of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Science Center at Houston, Houston, TX (YZ, BY, JAN, and EB); Metabolon Inc, Durham, NC (DA); the Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN (LMS); and the Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (EB)
| | - Lyn M Steffen
- From the Division of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Science Center at Houston, Houston, TX (YZ, BY, JAN, and EB); Metabolon Inc, Durham, NC (DA); the Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN (LMS); and the Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (EB)
| | - Jennifer A Nettleton
- From the Division of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Science Center at Houston, Houston, TX (YZ, BY, JAN, and EB); Metabolon Inc, Durham, NC (DA); the Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN (LMS); and the Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (EB)
| | - Eric Boerwinkle
- From the Division of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Science Center at Houston, Houston, TX (YZ, BY, JAN, and EB); Metabolon Inc, Durham, NC (DA); the Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN (LMS); and the Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (EB)
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Johnson N, Dudbridge F, Orr N, Gibson L, Jones ME, Schoemaker MJ, Folkerd EJ, Haynes BP, Hopper JL, Southey MC, Dite GS, Apicella C, Schmidt MK, Broeks A, Van't Veer LJ, Atsma F, Muir K, Lophatananon A, Fasching PA, Beckmann MW, Ekici AB, Renner SP, Sawyer E, Tomlinson I, Kerin M, Miller N, Burwinkel B, Marme F, Schneeweiss A, Sohn C, Guénel P, Truong T, Cordina E, Menegaux F, Bojesen SE, Nordestgaard BG, Flyger H, Milne R, Zamora MP, Arias Perez JI, Benitez J, Bernstein L, Anton-Culver H, Ziogas A, Clarke Dur C, Brenner H, Müller H, Arndt V, Dieffenbach AK, Meindl A, Heil J, Bartram CR, Schmutzler RK, Brauch H, Justenhoven C, Ko YD, Nevanlinna H, Muranen TA, Aittomäki K, Blomqvist C, Matsuo K, Dörk T, Bogdanova NV, Antonenkova NN, Lindblom A, Mannermaa A, Kataja V, Kosma VM, Hartikainen JM, Chenevix-Trench G, Beesley J, Wu AH, Van den Berg D, Tseng CC, Lambrechts D, Smeets D, Neven P, Wildiers H, Chang-Claude J, Rudolph A, Nickels S, Flesch-Janys D, Radice P, Peterlongo P, Bonanni B, Pensotti V, Couch FJ, Olson JE, Wang X, Fredericksen Z, Pankratz VS, Giles GG, Severi G, Baglietto L, Haiman C, Simard J, Goldberg MS, Labrèche F, Dumont M, Soucy P, Teo S, Yip CH, Phuah SY, Cornes BK, Kristensen VN, Grenaker Alnæs G, Børresen-Dale AL, Zheng W, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Grip M, Andrulis IL, Knight JA, Glendon G, Mulligan AM, Devillee P, Figueroa J, Chanock SJ, Lissowska J, Sherman ME, Hall P, Schoof N, Hooning M, Hollestelle A, Oldenburg RA, Tilanus-Linthorst M, Liu J, Cox A, Brock IW, Reed MWR, Cross SS, Blot W, Signorello LB, Pharoah PDP, Dunning AM, Shah M, Kang D, Noh DY, Park SK, Choi JY, Hartman M, Miao H, Lim WY, Tang A, Hamann U, Försti A, Rüdiger T, Ulmer HU, Jakubowska A, Lubinski J, Jaworska-Bieniek K, Durda K, Sangrajrang S, Gaborieau V, Brennan P, McKay J, Slager S, Toland AE, Vachon C, Yannoukakos D, Shen CY, Yu JC, Huang CS, Hou MF, González-Neira A, Tessier DC, Vincent D, Bacot F, Luccarini C, Dennis J, Michailidou K, Bolla MK, Wang J, Easton DF, García-Closas M, Dowsett M, Ashworth A, Swerdlow AJ, Peto J, dos Santos Silva I, Fletcher O. Genetic variation at CYP3A is associated with age at menarche and breast cancer risk: a case-control study. Breast Cancer Res 2014; 16:R51. [PMID: 24887515 PMCID: PMC4522594 DOI: 10.1186/bcr3662] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2013] [Accepted: 04/24/2014] [Indexed: 01/15/2023] Open
Abstract
INTRODUCTION We have previously shown that a tag single nucleotide polymorphism (rs10235235), which maps to the CYP3A locus (7q22.1), was associated with a reduction in premenopausal urinary estrone glucuronide levels and a modest reduction in risk of breast cancer in women age ≤50 years. METHODS We further investigated the association of rs10235235 with breast cancer risk in a large case control study of 47,346 cases and 47,570 controls from 52 studies participating in the Breast Cancer Association Consortium. Genotyping of rs10235235 was conducted using a custom Illumina Infinium array. Stratified analyses were conducted to determine whether this association was modified by age at diagnosis, ethnicity, age at menarche or tumor characteristics. RESULTS We confirmed the association of rs10235235 with breast cancer risk for women of European ancestry but found no evidence that this association differed with age at diagnosis. Heterozygote and homozygote odds ratios (ORs) were OR = 0.98 (95% CI 0.94, 1.01; P = 0.2) and OR = 0.80 (95% CI 0.69, 0.93; P = 0.004), respectively (P(trend) = 0.02). There was no evidence of effect modification by tumor characteristics. rs10235235 was, however, associated with age at menarche in controls (P(trend) = 0.005) but not cases (P(trend) = 0.97). Consequently the association between rs10235235 and breast cancer risk differed according to age at menarche (P(het) = 0.02); the rare allele of rs10235235 was associated with a reduction in breast cancer risk for women who had their menarche age ≥15 years (OR(het) = 0.84, 95% CI 0.75, 0.94; OR(hom) = 0.81, 95% CI 0.51, 1.30; P(trend) = 0.002) but not for those who had their menarche age ≤11 years (OR(het) = 1.06, 95% CI 0.95, 1.19, OR(hom) = 1.07, 95% CI 0.67, 1.72; P(trend) = 0.29). CONCLUSIONS To our knowledge rs10235235 is the first single nucleotide polymorphism to be associated with both breast cancer risk and age at menarche consistent with the well-documented association between later age at menarche and a reduction in breast cancer risk. These associations are likely mediated via an effect on circulating hormone levels.
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Affiliation(s)
- Nichola Johnson
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.
- Division of Breast Cancer Research, The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.
| | - Frank Dudbridge
- Non-communicable Disease Epidemiology Department, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
| | - Nick Orr
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.
- Division of Breast Cancer Research, The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.
| | - Lorna Gibson
- Non-communicable Disease Epidemiology Department, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
| | - Michael E Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Belmont, Sutton, Surrey, SM2 5NG, UK.
| | - Minouk J Schoemaker
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Belmont, Sutton, Surrey, SM2 5NG, UK.
| | - Elizabeth J Folkerd
- The Academic Department of Biochemistry, The Royal Marsden Hospital, Fulham Road, London, SW3 6JJ, UK.
| | - Ben P Haynes
- The Academic Department of Biochemistry, The Royal Marsden Hospital, Fulham Road, London, SW3 6JJ, UK.
| | - John L Hopper
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, University of Melbourne, 1-100 Gratton Street, Parkville, Melbourne, Victoria, 3010, Australia.
| | - Melissa C Southey
- Genetic Epidemiology Department, Department of Pathology, The University of Melbourne, 1-100 Gratton Street, Parkville, Melbourne, Victoria, 3010, Australia.
| | - Gillian S Dite
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, University of Melbourne, 1-100 Gratton Street, Parkville, Melbourne, Victoria, 3010, Australia.
| | - Carmel Apicella
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, University of Melbourne, 1-100 Gratton Street, Parkville, Melbourne, Victoria, 3010, Australia.
| | - Marjanka K Schmidt
- Division of Molecular Pathology, Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066CX, Amsterdam, The Netherlands.
| | - Annegien Broeks
- Division of Molecular Pathology, Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066CX, Amsterdam, The Netherlands.
| | - Laura J Van't Veer
- Division of Molecular Pathology, Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066CX, Amsterdam, The Netherlands.
| | - Femke Atsma
- Sanquin, Radboud Universiteit Nijmegen, 6525 GA, Nijmegen, The Netherlands.
| | - Kenneth Muir
- Warwick Medical School, University of Warwick, Coventry, CV4 7AJ, UK.
| | | | - Peter A Fasching
- University Breast Center, Department of Gynecology and Obstetrics, University Hospital Erlangen, Postfach 2306, D-91012, Erlangen, Germany.
- David Geffen School of Medicine, Department of Medicine, Division of Hematology and Oncology, University of California, 10833 Le Conte Avenue, Los Angeles, CA, 90095, USA.
| | - Matthias W Beckmann
- University Breast Center, Department of Gynecology and Obstetrics, University Hospital Erlangen, Postfach 2306, D-91012, Erlangen, Germany.
| | - Arif B Ekici
- Institute of Human Genetics, Friedrich Alexander University Erlangen- Nuremberg, Schlossplatz 4, 91054, Erlangen, Germany.
| | - Stefan P Renner
- University Breast Center, Department of Gynecology and Obstetrics, University Hospital Erlangen, Postfach 2306, D-91012, Erlangen, Germany.
| | - Elinor Sawyer
- Division of Cancer Studies, NIHR Comprehensive Biomedical Research Centre, Guy's & St. Thomas' NHS Foundation Trust in partnership with King's College London, Guy's Hospital, Great Maze Pond, London, SE1 9RT, UK.
| | - Ian Tomlinson
- Welcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford, OX3 7BN, UK.
- Oxford Biomedical Research Centre, University of Oxford, The Churchill Hospital, Old Road, Headington, OX3 7LE, Oxford, UK.
| | - Michael Kerin
- Surgery, Clinical Science Institute, Galway University Hospital and National University of Ireland, University Road, Galway, Ireland.
| | - Nicola Miller
- Surgery, Clinical Science Institute, Galway University Hospital and National University of Ireland, University Road, Galway, Ireland.
| | - Barbara Burwinkel
- Department of Obstetrics and Gynecology, University of Heidelberg, Vosstrasse 9, 69115, Heidelberg, Germany.
- Unit Molecular Epidemiology C080, German Cancer Research Center, DKFZ, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
| | - Frederik Marme
- Department of Obstetrics and Gynecology, University of Heidelberg, Vosstrasse 9, 69115, Heidelberg, Germany.
| | - Andreas Schneeweiss
- Department of Obstetrics and Gynecology, University of Heidelberg, Vosstrasse 9, 69115, Heidelberg, Germany.
| | - Christof Sohn
- Department of Obstetrics and Gynecology, University of Heidelberg, Vosstrasse 9, 69115, Heidelberg, Germany.
- National Center for Tumor Diseases, University of Heidelberg, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany.
| | - Pascal Guénel
- Inserm (National Institute of Health and Medical Research), CESP (Center for Research in Epidemiology and Population Health), U1018, Environmental Epidemiology of Cancer, 101 rue de Tolbiac, Villejuif, 75654, Paris, France.
- University Paris-Sud, UMRS 1018, 101 rue de Tolbiac, Villejuif, 75654, Paris, France.
| | - Therese Truong
- Inserm (National Institute of Health and Medical Research), CESP (Center for Research in Epidemiology and Population Health), U1018, Environmental Epidemiology of Cancer, 101 rue de Tolbiac, Villejuif, 75654, Paris, France.
- University Paris-Sud, UMRS 1018, 101 rue de Tolbiac, Villejuif, 75654, Paris, France.
| | - Emilie Cordina
- Inserm (National Institute of Health and Medical Research), CESP (Center for Research in Epidemiology and Population Health), U1018, Environmental Epidemiology of Cancer, 101 rue de Tolbiac, Villejuif, 75654, Paris, France.
- University Paris-Sud, UMRS 1018, 101 rue de Tolbiac, Villejuif, 75654, Paris, France.
| | - Florence Menegaux
- Inserm (National Institute of Health and Medical Research), CESP (Center for Research in Epidemiology and Population Health), U1018, Environmental Epidemiology of Cancer, 101 rue de Tolbiac, Villejuif, 75654, Paris, France.
- University Paris-Sud, UMRS 1018, 101 rue de Tolbiac, Villejuif, 75654, Paris, France.
| | - Stig E Bojesen
- Copenhagen General Population Study, Herlev Hospital, Copenhagen University Hospital, Herlev Rinvej 75, 2730, Herlev, Copenhagen, Denmark.
- Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, Herlev Rinvej 75, 2730, Herlev, Copenhagen, Denmark.
| | - Børge G Nordestgaard
- Copenhagen General Population Study, Herlev Hospital, Copenhagen University Hospital, Herlev Rinvej 75, 2730, Herlev, Copenhagen, Denmark.
- Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, Herlev Rinvej 75, 2730, Herlev, Copenhagen, Denmark.
| | - Henrik Flyger
- Department of Breast Surgery, Herlev Hospital, Copenhagen University Hospital, Herlev Rinvej 75, Herlev, 2730, Copenhagen, Denmark.
| | - Roger Milne
- Genetic and Molecular Epidemiology Group, Human Cancer Genetics Program, Spanish National Cancer Research Centre (CNIO), Calle de Melchor Fernandez Almagro, 3, 28029, Madrid, Spain.
| | - M Pilar Zamora
- Servicio de Oncología Médica, Hospital Universitario La Paz, Paseo de la Castellana, 261, 28046, Madrid, Spain.
| | - Jose Ignacio Arias Perez
- Servicio de Cirugía General y Especialidades, Hospital Monte Naranco, Avda. Dres. Fernández Vega, 107, Oviedo, Spain.
| | - Javier Benitez
- Human Genotyping-CEGEN Unit, Human Cancer Genetics Program, Spanish National Cancer Research Centre (CNIO), Calle de Melchor Fernandez Almagro, 3, 28029, Madrid, Spain.
- Centro de Investigación en Red de Enfermedades Raras (CIBERER), Calle de Melchor Fernandez Almagro, 3, 28029, Madrid, Spain.
| | - Leslie Bernstein
- Division of Cancer Etiology, Department of Population Sciences, Beckman Research Institute of the City of Hope, Duarte, CA, USA.
| | - Hoda Anton-Culver
- Department of Epidemiology, School of Medicine, University of California Irvine, 224 Irvine Hall, Irvine, California, 92697-7550, USA.
| | - Argyrios Ziogas
- Department of Epidemiology, School of Medicine, University of California Irvine, 224 Irvine Hall, Irvine, California, 92697-7550, USA.
| | - Christina Clarke Dur
- Cancer Prevention Institute of California, 2201 Walnut Avenue, Suite 300, Fremont, California, 95438, USA.
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 280, 69121, Heidelberg, Germany.
- German Cancer Consortium (DKTK), Im Neuenheimer Feld 280, 69121, Heidelberg, Germany.
| | - Heiko Müller
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 280, 69121, Heidelberg, Germany.
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 280, 69121, Heidelberg, Germany.
| | - Aida Karina Dieffenbach
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 280, 69121, Heidelberg, Germany.
- German Cancer Consortium (DKTK), Im Neuenheimer Feld 280, 69121, Heidelberg, Germany.
| | - Alfons Meindl
- Clinic of Gynecology and Obstetrics, Division of Tumor Genetics, Klinikum rechts der Isar, Technical University Munich, Ismaninger Strasse 22, D-81675, Munich, Germany.
| | - Joerg Heil
- Department of Obstetrics and Gynecology, University of Heidelberg, Vosstrasse 9, 69115, Heidelberg, Germany.
| | - Claus R Bartram
- Institute of Human Genetics, University of Heidelberg, Im Neuenheimer Feld 366, 69121, Heidelberg, Germany.
| | - Rita K Schmutzler
- Division of Molecular Gyneco-Oncology, Department of Gynaecology and Obstetrics, Center of Molecular Medicine Cologne (CMMC), University Hospital of Cologne, ZMMK-Forschungsgebäude, Robert-Koch-Strasse 21, 50931, Cologne, Germany.
| | - Hiltrud Brauch
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Robert Bosch Stiftung GmbH, Heidehofstrasse 31, 70184, Stuttgart, Germany.
- University of Tübingen, Geschwister-Scholl-Platz, 72074, Tübingen, Germany.
| | - Christina Justenhoven
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Robert Bosch Stiftung GmbH, Heidehofstrasse 31, 70184, Stuttgart, Germany.
- University of Tübingen, Geschwister-Scholl-Platz, 72074, Tübingen, Germany.
| | - Yon-Dschun Ko
- Department of Internal Medicine, Evangelische Kliniken Bonn GGmbH, Johanniter Krankenhaus, 53113, Bonn, Germany.
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Central Hospital, University of Helsinki, Haartmaninkatu 2, P.O. Box 140, FIN-00029, Helsinki, Finland.
| | - Taru A Muranen
- Department of Obstetrics and Gynecology, Helsinki University Central Hospital, University of Helsinki, Haartmaninkatu 2, P.O. Box 140, FIN-00029, Helsinki, Finland.
| | - Kristiina Aittomäki
- Department of Clinical Genetics, Helsinki University Central Hospital, Haartmaninkatu 2, P.O. Box 140, FIN-00029, Helsinki, Finland.
| | - Carl Blomqvist
- Department of Oncology, Helsinki University Central Hospital, Haartmaninkatu 2, P.O. Box 140, FIN-00029, Helsinki, Finland.
| | - Keitaro Matsuo
- Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, 1-1Kanokoden, Chikusa-ku, Nagoya, 464-8681, Japan.
| | - Thilo Dörk
- Department of Obstetrics and Gynaecology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
| | - Natalia V Bogdanova
- Department of Radiation Oncology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
| | - Natalia N Antonenkova
- N.N. Alexandrov Research Institute of Oncology and Medical Radiology, 223040, p. Lesnoy, Minsk, Belarus.
| | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Solnavägen 1, 171 77, Solna, Stockholm, Sweden.
| | - Arto Mannermaa
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Yliopistonranta 1, P.O. Box 1627, FI-70211, Kuopio, Finland.
- Biocenter Kuopio, Cancer Center of Eastern Finland, University of Eastern Finland, Yliopistonranta 1, P.O. Box 1627, FI-70211, Kuopio, Finland.
- Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, P.O. Box 100, FI-70029, Kuopio, Finland.
| | - Vesa Kataja
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Yliopistonranta 1, P.O. Box 1627, FI-70211, Kuopio, Finland.
- Biocenter Kuopio, Cancer Center of Eastern Finland, University of Eastern Finland, Yliopistonranta 1, P.O. Box 1627, FI-70211, Kuopio, Finland.
- Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, P.O. Box 100, FI-70029, Kuopio, Finland.
| | - Veli-Matti Kosma
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Yliopistonranta 1, P.O. Box 1627, FI-70211, Kuopio, Finland.
- Biocenter Kuopio, Cancer Center of Eastern Finland, University of Eastern Finland, Yliopistonranta 1, P.O. Box 1627, FI-70211, Kuopio, Finland.
- Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, P.O. Box 100, FI-70029, Kuopio, Finland.
| | - Jaana M Hartikainen
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Yliopistonranta 1, P.O. Box 1627, FI-70211, Kuopio, Finland.
- Biocenter Kuopio, Cancer Center of Eastern Finland, University of Eastern Finland, Yliopistonranta 1, P.O. Box 1627, FI-70211, Kuopio, Finland.
- Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, P.O. Box 100, FI-70029, Kuopio, Finland.
| | - Georgia Chenevix-Trench
- Department of Genetics, Queensland Institute of Medical Research, 300 Herston Rd, Herston, Brisbane Queensland, 4006, Australia.
| | - Jonathan Beesley
- Department of Genetics, Queensland Institute of Medical Research, 300 Herston Rd, Herston, Brisbane Queensland, 4006, Australia.
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 1975 Zonal Ave, Los Angeles, CA, 90033, USA.
| | - David Van den Berg
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 1975 Zonal Ave, Los Angeles, CA, 90033, USA.
| | - Chiu-Chen Tseng
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 1975 Zonal Ave, Los Angeles, CA, 90033, USA.
| | - Diether Lambrechts
- Laboratory for Translational Genetics, Department of Oncology, University of Leuven, Oude Markt 13 - bus 5005, 3000, Leuven, Belgium.
- Vesalius Research Center, VIB, Herestraat 49, box 912, Onderwijs & Navorsing 4, Building 404-24, 3000, Leuven, Belgium.
| | - Dominiek Smeets
- Laboratory for Translational Genetics, Department of Oncology, University of Leuven, Oude Markt 13 - bus 5005, 3000, Leuven, Belgium.
- Vesalius Research Center, VIB, Herestraat 49, box 912, Onderwijs & Navorsing 4, Building 404-24, 3000, Leuven, Belgium.
| | - Patrick Neven
- Multidisciplinary Breast Center, University Hospital Gasthuisberg, Herestraat 49, 3000, Leuven, Belgium.
| | - Hans Wildiers
- Multidisciplinary Breast Center, University Hospital Gasthuisberg, Herestraat 49, 3000, Leuven, Belgium.
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
| | - Anja Rudolph
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
| | - Stefan Nickels
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
| | - Dieter Flesch-Janys
- Department of Cancer Epidemiology/Clinical Cancer Registry, University Clinic Hamburg-Eppendorf, Martinistrasse 52, D - 20246, Hamburg, Germany.
- Institute for Medical Biometrics and Epidemiology, University Clinic Hamburg-Eppendorf, Martinistrasse 52, D - 20246, Hamburg, Germany.
| | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori (INT), Via Venezian 1, 20133, Milan, Italy.
| | - Paolo Peterlongo
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori (INT), Via Venezian 1, 20133, Milan, Italy.
- IFOM, Fondazione Istituto FIRC di Oncologia Molecolare, Via Adamello 16, 20139, Milan, Italy.
| | - Bernardo Bonanni
- Division of Cancer Prevention and Genetics, Istituto Europeo di Oncologia (IEO), Via Giuseppe Ripamonti 435, 20141, Milan, Italy.
| | - Valeria Pensotti
- IFOM, Fondazione Istituto FIRC di Oncologia Molecolare, Via Adamello 16, 20139, Milan, Italy.
- Cogentech Cancer Genetic Test Laboratory, IFOM-IEO Campus, Via Adamello16, 20139, Milan, Italy.
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Division of Experimental Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
| | - Janet E Olson
- Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
| | - Xianshu Wang
- Department of Laboratory Medicine and Pathology, Division of Experimental Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
| | - Zachary Fredericksen
- Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
| | - Vernon S Pankratz
- Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
| | - Graham G Giles
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, University of Melbourne, 1-100 Gratton Street, Parkville, Melbourne, Victoria, 3010, Australia.
- Cancer Epidemiology Centre, The Cancer Council Victoria, 615 St Kilda Road, Melbourne, Victoria, 3004, Australia.
| | - Gianluca Severi
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, University of Melbourne, 1-100 Gratton Street, Parkville, Melbourne, Victoria, 3010, Australia.
- Cancer Epidemiology Centre, The Cancer Council Victoria, 615 St Kilda Road, Melbourne, Victoria, 3004, Australia.
| | - Laura Baglietto
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, University of Melbourne, 1-100 Gratton Street, Parkville, Melbourne, Victoria, 3010, Australia.
- Cancer Epidemiology Centre, The Cancer Council Victoria, 615 St Kilda Road, Melbourne, Victoria, 3004, Australia.
| | - Chris Haiman
- Laboratory for Translational Genetics, Department of Oncology, University of Leuven, Oude Markt 13 - bus 5005, 3000, Leuven, Belgium.
| | - Jacques Simard
- Department of Medicine, McGill University and Division of Clinical Epidemiology, McGill University Health Centre, Royal Victoria Hospital, 687 Pine Avenue West, Montréal, Québec, H3A 1A1, Canada.
| | - Mark S Goldberg
- Department of Medicine, McGill University and Division of Clinical Epidemiology, McGill University Health Centre, Royal Victoria Hospital, 687 Pine Avenue West, Montréal, Québec, H3A 1A1, Canada.
| | - France Labrèche
- Department of Social and Preventive Medicine and Department of Environmental and Occupational Health at Work, University of Montréal, Marguerite d'Youville Pavilion, 2375 Côte Ste-Catherine, Suite 4095, Montréal, Québec, H3T 1A8, Canada.
| | - Martine Dumont
- Cancer Genomics Laboratory, Centre Hospitalier Universitaire de Québec Research Center and Laval University, 2325 Rue de l'Université, Québec City, Québec, G1V 0A6, Canada.
| | - Penny Soucy
- Cancer Genomics Laboratory, Centre Hospitalier Universitaire de Québec Research Center and Laval University, 2325 Rue de l'Université, Québec City, Québec, G1V 0A6, Canada.
| | - Soo Teo
- Breast Cancer Research Unit, University of Malaya Cancer Research Institute, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia.
- Cancer Research Initiatives Foundation, Sime Darby Medical Centre Subang Jaya, 1, Jalan SS 12 / 1A, 47500, Subang Jaya, Selangor Darul Ehsan, Malaysia.
| | - Cheng Har Yip
- Breast Cancer Research Unit, University of Malaya Cancer Research Institute, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia.
| | - Sze Yee Phuah
- Breast Cancer Research Unit, University of Malaya Cancer Research Institute, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia.
- Cancer Research Initiatives Foundation, Sime Darby Medical Centre Subang Jaya, 1, Jalan SS 12 / 1A, 47500, Subang Jaya, Selangor Darul Ehsan, Malaysia.
| | - Belinda K Cornes
- Singapore Eye Research Institute, National University of Singapore, Singapore National Eye Centre, 11 Third Hospital Avenue, Singapore, 168751, Singapore.
| | - Vessela N Kristensen
- Department of Genetics, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, N-0310, Oslo, Norway.
- Faculty of Medicine (Faculty Division Ahus), University of Oslo, Sogn Arena, Klaus Torgårds vei 3, 2. etg, 0372, Oslo, Norway.
| | - Grethe Grenaker Alnæs
- Faculty of Medicine (Faculty Division Ahus), University of Oslo, Sogn Arena, Klaus Torgårds vei 3, 2. etg, 0372, Oslo, Norway.
| | - Anne-Lise Børresen-Dale
- Department of Genetics, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, N-0310, Oslo, Norway.
- Faculty of Medicine (Faculty Division Ahus), University of Oslo, Sogn Arena, Klaus Torgårds vei 3, 2. etg, 0372, Oslo, Norway.
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, 1161 21st Ave S # T1217, Nashville, TN, 37232, USA.
| | - Robert Winqvist
- Laboratory of Cancer Genetics and Tumor Biology, Department of Clinical Chemistry and Biocenter Oulu, University of Oulu, Oulu University Hospital, Kajaanintie 50, 90220, Oulu, Finland.
| | - Katri Pylkäs
- Laboratory of Cancer Genetics and Tumor Biology, Department of Clinical Chemistry and Biocenter Oulu, University of Oulu, Oulu University Hospital, Kajaanintie 50, 90220, Oulu, Finland.
| | - Arja Jukkola-Vuorinen
- Department of Oncology, Oulu University Hospital, University of Oulu, Kajaanintie 50, 90220, Oulu, Finland.
| | - Mervi Grip
- Department of Surgery, Oulu University Hospital, University of Oulu, Kajaanintie 50, 90220, Oulu, Finland.
| | - Irene L Andrulis
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, 982 - 600 University Avenue, Toronto, Ontario, M5G 1X5, Canada.
- Department of Molecular Genetics, University of Toronto, Medical Science Building, Room 4386, 1 King's College Cir, Toronto, Ontario, M5S 1A8, Canada.
| | - Julia A Knight
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, 982 - 600 University Avenue, Toronto, Ontario, M5G 1X5, Canada.
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, 6th floor, 155 College St, Toronto, Ontario, M5T 3M7, Canada.
| | - Gord Glendon
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, 982 - 600 University Avenue, Toronto, Ontario, M5G 1X5, Canada.
- Ontario Cancer Genetics Network, 620 University Avenue, Toronto, Ontario, M5G 2L7, Canada.
| | - Anna Marie Mulligan
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Medical Sciences Building, 6th Floor, 1 King's College Cir, Toronto, Ontario, M5S 1A8, Canada.
- University Health Network, R. Fraser Elliott Building, 1st Floor, 190 Elizabeth St, Toronto, Ontario, M5G 2C4, Canada.
| | - Peter Devillee
- Department of Human Genetics & Department of Pathology, Leiden University Medical Center, Einthovenweg 20, 2333, ZC, Leiden, The Netherlands.
| | - Jonine Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20850, USA.
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20850, USA.
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, M. Sklodowska-Curie Memorial Cancer Center & Institute of Oncology, Roentena 5, 02-781, Warsaw, Poland.
| | - Mark E Sherman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20850, USA.
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solnavägen 1, Stockholm, 17177, Sweden.
| | - Nils Schoof
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solnavägen 1, Stockholm, 17177, Sweden.
| | - Maartje Hooning
- Department of Medical Oncology, Family Cancer Clinic, Erasmus University Medical Center, Groene Hilledijk 301, Rotterdam, EA, 3075, The Netherlands.
| | - Antoinette Hollestelle
- Department of Medical Oncology, Josephine Nefkens Institute, Erasmus University Medical Center, Groene Hilledijk 301, 3075, EA, Rotterdam, The Netherlands.
| | - Rogier A Oldenburg
- Department of Clinical Genetics, Family Cancer Clinic, Erasmus University Medical Center, Groene Hilledijk 301, 3075, EA, Rotterdam, The Netherlands.
| | - Madeleine Tilanus-Linthorst
- Department of Clinical Genetics, Family Cancer Clinic, Erasmus University Medical Center, Groene Hilledijk 301, 3075, EA, Rotterdam, The Netherlands.
| | - Jianjun Liu
- Human Genetics Division, Genome Institute of Singapore, 60 Biopolis St, Singapore, 138672, Singapore.
| | - Angie Cox
- Institute for Cancer Studies, Department of Oncology, CRUK/YCR Sheffield Cancer Research Centre, University of Sheffield, 385a Glossop Road, Sheffield, S10 2HQ, UK.
| | - Ian W Brock
- Institute for Cancer Studies, Department of Oncology, CRUK/YCR Sheffield Cancer Research Centre, University of Sheffield, 385a Glossop Road, Sheffield, S10 2HQ, UK.
| | - Malcolm W R Reed
- Academic Unit of Surgical Oncology, Department of Oncology, CRUK/YCR Sheffield Cancer Research Centre, University of Sheffield, 385a Glossop Road, Sheffield, S10 2HQ, UK.
| | - Simon S Cross
- Academic Unit of Pathology, Department of Neuroscience, University of Sheffield, 385a Glossop Road, Sheffield, S10 2HQ, UK.
| | - William Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, 1161 21st Ave S # T1217, Nashville, TN, 37232, USA.
- International Epidemiology Institute, 1455 Research Blvd, Rockville, MD, 20850, USA.
| | - Lisa B Signorello
- Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA.
- Channing Division of Network Medicine, Harvard Medical School, 181 Longwood Avenue, Boston, MA, 02115, USA.
- Dana-Farber/Harvard Cancer Center, 450 Brookline Ave, Boston, MA, 02215, USA.
| | - Paul D P Pharoah
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, CB1 8RN, UK.
| | - Alison M Dunning
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, CB1 8RN, UK.
| | - Mitul Shah
- Seoul National University College of Medicine, Yongeon-103 Daehangno, Jongno-gu, Seoul, 110-799, Korea.
| | - Daehee Kang
- Seoul National University College of Medicine, Yongeon-103 Daehangno, Jongno-gu, Seoul, 110-799, Korea.
| | - Dong-Young Noh
- Seoul National University College of Medicine, Yongeon-103 Daehangno, Jongno-gu, Seoul, 110-799, Korea.
| | - Sue K Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Yongeon-103 Daehangno, Jongno-gu, Seoul, 110-799, Korea.
- Department of Biomedical Science, Seoul National University Graduate School, Yongeon-103 Daehangno, Jongno-gu, Seoul, 110-799, Korea.
- Cancer Research Institute, Seoul National University, Yongeon-103 Daehangno, Jongno-gu, Seoul, 110-799, Korea.
| | - Ji-Yeob Choi
- Seoul National University College of Medicine, Yongeon-103 Daehangno, Jongno-gu, Seoul, 110-799, Korea.
| | - Mikael Hartman
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, 1E, Kent Ridge Road, Singapore, 119228, Singapore.
- National University Health System, 1E, Kent Ridge Road, Singapore, 119228, Singapore.
- Saw Swee Hock School of Public Health, National University of Singapore, MD3, 16 Medical Drive, Singapore, 117597, Singapore.
| | - Hui Miao
- Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA.
- Channing Division of Network Medicine, Harvard Medical School, 181 Longwood Avenue, Boston, MA, 02115, USA.
| | - Wei Yen Lim
- National University Health System, 1E, Kent Ridge Road, Singapore, 119228, Singapore.
- Saw Swee Hock School of Public Health, National University of Singapore, MD3, 16 Medical Drive, Singapore, 117597, Singapore.
| | - Anthony Tang
- Division of General Surgery, National University Health System, 1E, Kent Ridge Road, Singapore, 119228, Singapore.
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
| | - Asta Försti
- Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
- Center for Primary Health Care Research, University of Lund, Paradisgatan 5, SE-221 00, Lund, Malmö, Sweden.
| | - Thomas Rüdiger
- Institute of Pathology, Städtisches Klinikum Karlsruhe, Moltkestrasse 90, 76133, Karlsruhe, Germany.
| | - Hans Ulrich Ulmer
- Frauenklinik der Stadtklinik Baden-Baden, Balger Strasse 50, 76532, Baden-Württemberg, Germany.
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Rybacka 1, 70-204, Szczecin, Poland.
| | - Jan Lubinski
- Department of Genetics and Pathology, Pomeranian Medical University, Rybacka 1, 70-204, Szczecin, Poland.
| | - Katarzyna Jaworska-Bieniek
- Department of Genetics and Pathology, Pomeranian Medical University, Rybacka 1, 70-204, Szczecin, Poland.
- Postgraduate School of Molecular Medicine, Warsaw Medical University, Żwirki i Wigury 61, 02-091, Warsaw, Poland.
| | - Katarzyna Durda
- Department of Genetics and Pathology, Pomeranian Medical University, Rybacka 1, 70-204, Szczecin, Poland.
| | | | - Valerie Gaborieau
- International Agency for Research on Cancer, 150 Cours Albert Thomas, 69372, Lyon, CEDEX 08, France.
| | - Paul Brennan
- International Agency for Research on Cancer, 150 Cours Albert Thomas, 69372, Lyon, CEDEX 08, France.
| | - James McKay
- International Agency for Research on Cancer, 150 Cours Albert Thomas, 69372, Lyon, CEDEX 08, France.
| | - Susan Slager
- Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
| | - Amanda E Toland
- Department of Molecular Virology, Immunology and Medical Genetics, Comprehensive Cancer Center, The Ohio State University, 410 W. 10th Avenue, Columbus, OH, 43210, USA.
| | - Celine Vachon
- Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
| | - Drakoulis Yannoukakos
- Molecular Diagnostics Laboratory, IRRP, National Centre for Scientific Research "Demokritos", Aghia Paraskevi Attikis 153 10, Athens, Greece.
| | - Chen-Yang Shen
- College of Public Health, China Medical University, No.91, Hsueh-Shih Road, Taichung, 40402, Taiwan.
- Institute of Biomedical Sciences, Academia Sinica, 2 Academia Road, Nankang, Taipei 115, Taiwan.
| | - Jyh-Cherng Yu
- Department of Surgery, Tri-Service General Hospital, No.325, Sec.2 Chenggong Road, Taipei City 114, Neihu District, Taiwan.
| | - Chiun-Sheng Huang
- Department of Surgery, National Taiwan University Hospital, No.1, Changde Street, Taipei City, 10048, Zhongzheng District, Taiwan.
| | - Ming-Feng Hou
- Cancer Center, Kaohsiung Medical University Chung-Ho Memorial Hospital, No.100, Tzyou 1st Road, Kaohsiung, 807, Taiwan.
- Department of Surgery, Kaohsiung Medical University Chung-Ho Memorial Hospital, No.100, Tzyou 1st Road, Kaohsiung, 807, Taiwan.
| | - Anna González-Neira
- Human Genotyping-CEGEN Unit, Human Cancer Genetics Program, Spanish National Cancer Research Centre (CNIO), Calle de Melchor Fernandez Almagro, 3, 28029, Madrid, Spain.
| | - Daniel C Tessier
- McGill University and Génome Québec Innovation Centre, 740, Dr. Penfield Avenue, Room 7104, Montréal, Québec, H3A 0G1, Canada.
| | - Daniel Vincent
- McGill University and Génome Québec Innovation Centre, 740, Dr. Penfield Avenue, Room 7104, Montréal, Québec, H3A 0G1, Canada.
| | - Francois Bacot
- McGill University and Génome Québec Innovation Centre, 740, Dr. Penfield Avenue, Room 7104, Montréal, Québec, H3A 0G1, Canada.
| | - Craig Luccarini
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, CB1 8RN, UK.
| | - Joe Dennis
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, CB1 8RN, UK.
| | - Kyriaki Michailidou
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, CB1 8RN, UK.
| | - Manjeet K Bolla
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, CB1 8RN, UK.
| | - Jean Wang
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, CB1 8RN, UK.
| | - Douglas F Easton
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, CB1 8RN, UK.
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, CB1 8RN, UK.
| | - Montserrat García-Closas
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.
- Division of Breast Cancer Research, The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Belmont, Sutton, Surrey, SM2 5NG, UK.
| | - Mitch Dowsett
- The Academic Department of Biochemistry, The Royal Marsden Hospital, Fulham Road, London, SW3 6JJ, UK.
| | - Alan Ashworth
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.
- Division of Breast Cancer Research, The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.
| | - Anthony J Swerdlow
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.
- Division of Breast Cancer Research, The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Belmont, Sutton, Surrey, SM2 5NG, UK.
| | - Julian Peto
- Non-communicable Disease Epidemiology Department, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
| | - Isabel dos Santos Silva
- Non-communicable Disease Epidemiology Department, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
| | - Olivia Fletcher
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.
- Division of Breast Cancer Research, The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.
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