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Katuwal S, Tapanainen J, Pukkala E. Multivariate analysis of independent roles of socioeconomic status, occupational physical activity, reproductive factors, and postmenopausal hormonal therapy in risk of breast cancer. Breast Cancer Res Treat 2022; 193:495-505. [PMID: 35366162 PMCID: PMC9090885 DOI: 10.1007/s10549-022-06571-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 03/12/2022] [Indexed: 11/24/2022]
Abstract
PURPOSE This case-control study assesses the independent roles of reproductive history, postmenopausal hormonal therapy (HT), socioeconomic status (SES), and occupational physical activity on the risk of breast cancer (BC). METHODS Odds ratios (OR) were estimated from conditional logistic multivariate regression model in a data set of 19,253 Finnish women diagnosed with BC between 1994 and 2013 and 96,265 age-matched population controls. RESULTS Both pre- and postmenopausal white-collar workers had significantly increased risk of ductal and lobular BC as compared to manual workers. Moderate occupational physical activity reduced risk of lobular BC by 14%. There was a transient increase in the risk of BC observed after each birth followed by a protective effect starting some years after the delivery. As the number of children increased, the short-term excess risk was lower and protective effect was observed earlier. Continuous estrogen-progestin therapy (EPT) significantly increased the risk of both ductal and lobular BC and the magnitude of risk was directly proportional to duration of use (OR for 5+ years of use 2.26, 95% confidence interval 2.12-2.42). Monthly EPT for 5+ years increased the risk (OR 1.32, 95% CI 1.20-1.45). Users of estradiol plus levonorgestrel intrauterine system devices showed ORs of 1.56 (95% CI 1.45-1.69) and 2.18 (95% CI 1.81-2.64) for ductal and lobular BC, respectively. CONCLUSION This study concludes that pregnancy has a dual effect on BC risk, with a transient increase in risk followed by a long-term protective effect. The SES and HT have a large effect on BC risk while occupational physical activity has only a small independent effect.
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Affiliation(s)
- Sushmita Katuwal
- Faculty of Social Sciences, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland.
| | - Juha Tapanainen
- Department of Obstetrics and Gynecology, University of Helsinki, Helsinki University Hospital, Helsinki, Finland.,Department of Obstetrics and Gynecology, PEDEGO Research Unit, Medical Research Center, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Eero Pukkala
- Faculty of Social Sciences, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland.,Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Helsinki, Finland
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2
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Wu Y, Huang R, Wang M, Bernstein L, Bethea TN, Chen C, Chen Y, Eliassen AH, Freedman ND, Gaudet MM, Gierach GL, Giles GG, Krogh V, Larsson SC, Liao LM, McCullough ML, Miller AB, Milne RL, Monroe KR, Neuhouser ML, Palmer JR, Prizment A, Reynolds P, Robien K, Rohan TE, Sandin S, Sawada N, Sieri S, Sinha R, Stolzenberg-Solomon RZ, Tsugane S, van den Brandt PA, Visvanathan K, Weiderpass E, Wilkens LR, Willett WC, Wolk A, Zeleniuch-Jacquotte A, Ziegler RG, Smith-Warner SA. Dairy foods, calcium, and risk of breast cancer overall and for subtypes defined by estrogen receptor status: a pooled analysis of 21 cohort studies. Am J Clin Nutr 2021; 114:450-461. [PMID: 33964859 PMCID: PMC8326053 DOI: 10.1093/ajcn/nqab097] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 03/05/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Epidemiologic studies examining the relations between dairy product and calcium intakes and breast cancer have been inconclusive, especially for tumor subtypes. OBJECTIVE To evaluate the associations between intakes of specific dairy products and calcium and risk of breast cancer overall and for subtypes defined by estrogen receptor (ER) status. METHOD We pooled the individual-level data of over 1 million women who were followed for a maximum of 8-20 years across studies. Associations were evaluated for dairy product and calcium intakes and risk of incident invasive breast cancer overall (n = 37,861 cases) and by subtypes defined by ER status. Study-specific multivariable hazard ratios (HRs) were estimated and then combined using random-effects models. RESULTS Overall, no clear association was observed between the consumption of specific dairy foods, dietary (from foods only) calcium, and total (from foods and supplements) calcium, and risk of overall breast cancer. Although each dairy product showed a null or very weak inverse association with risk of overall breast cancer (P, test for trend >0.05 for all), differences by ER status were suggested for yogurt and cottage/ricotta cheese with associations observed for ER-negative tumors only (pooled HR = 0.90, 95% CI: 0.83, 0.98 comparing ≥60 g/d with <1 g/d of yogurt and 0.85, 95% CI: 0.76, 0.95 comparing ≥25 g/d with <1 g/d of cottage/ricotta cheese). Dietary calcium intake was only weakly associated with breast cancer risk (pooled HR = 0.98, 95% CI: 0.97, 0.99 per 350 mg/d). CONCLUSION Our study shows that adult dairy or calcium consumption is unlikely to associate with a higher risk of breast cancer and that higher yogurt and cottage/ricotta cheese intakes were inversely associated with the risk of ER-negative breast cancer, a less hormonally dependent subtype with poor prognosis. Future studies on fermented dairy products, earlier life exposures, ER-negative breast cancer, and different racial/ethnic populations may further elucidate the relation.
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Affiliation(s)
- You Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ruyi Huang
- Department of Medical Education, E-DA Hospital and School of Medicine for International Students, School of Medicine, I-SHOU University, Kaohsiung City, Taiwan
- Department of Family Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Molin Wang
- 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
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Leslie Bernstein
- Department of Population Sciences, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Traci N Bethea
- Slone Epidemiology Center at Boston University, Boston, MA, USA
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Chu Chen
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Yu Chen
- Division of Epidemiology, Department of Population Health and Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
| | - A Heather Eliassen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Mia M Gaudet
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, 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, Clayton, Victoria, Australia
| | - Vittorio Krogh
- Epidemiology and Prevention Unit Department of Research, IRCCS National Cancer Institute Foundation, Milan, Italy
| | - Susanna C Larsson
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Unit of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Linda M Liao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Marjorie L McCullough
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Anthony B Miller
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, 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, Clayton, Victoria, Australia
| | - Kristine R Monroe
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Julie R Palmer
- Slone Epidemiology Center at Boston University, Boston, MA, USA
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Anna Prizment
- Division of Hematology, Oncology and Transplantation, University of Minnesota Medical School, Minneapolis, MN, USA
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Peggy Reynolds
- Department of Epidemiology and Biostatistics, University of California San Francisco, Berkeley, CA, USA
| | - Kim Robien
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University, WA, USA
| | - Thomas E Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sven Sandin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Seaver Autism Center for Research and Treatment at Mount Sinai, New York, NY, USA
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Sabina Sieri
- Epidemiology and Prevention Unit Department of Research, IRCCS National Cancer Institute Foundation, Milan, Italy
| | - Rashmi Sinha
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | | | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Piet A van den Brandt
- Department of Epidemiology, GROW–School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
- Department of Epidemiology, Care and Public Health Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | | | - Walter C Willett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Alicja Wolk
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Unit of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Anne Zeleniuch-Jacquotte
- Division of Epidemiology, Department of Population Health and Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
| | - Regina G Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Stephanie A Smith-Warner
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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3
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Budzik MP, Fudalej MM, Badowska-Kozakiewicz AM. Histopathological analysis of mucinous breast cancer subtypes and comparison with invasive carcinoma of no special type. Sci Rep 2021; 11:5770. [PMID: 33707745 PMCID: PMC7952590 DOI: 10.1038/s41598-021-85309-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 03/01/2021] [Indexed: 11/28/2022] Open
Abstract
Mucinous breast cancer (MBC) is a rare histological type of breast cancer characterized primarily by mucin's production and extracellular presence. MBC is usually associated with a better prognosis than other invasive breast neoplasms. Because of the low prevalence, MBC biology is not well understood. The aim of the present study was to introduce the last 2-year experience regarding MBC pathological diagnostics in our clinical center and comparison of the obtained data with invasive breast carcinoma of no special type (NST) comprising the most common invasive breast cancer. We identified 24 MBC cases representing 3.09% of all 766 invasive breast cancers, including 15 cases of pure type and 9 mixed MBCs. The median MBC patients' age at presentation was 65.5 years. Compared to NST, MBC presented a higher T stage with a statistically larger tumor median size, although lower regional lymph node involvement, tumor histological grade and TNM stage. MBC is a rare type of breast cancer, accounting for about 4% of all diagnosed breast cancers. Our findings are consistent with those published in recent years and show significant differences between MBC and NST cancer patients and also highlight differences between pure and mixed MBC, emphasizing the essence of their differentiation. MBC is associated with a better long-term prognosis than NST and is characterized by the less aggressive biological behavior expressed through favorable clinicopathologic features in terms of tumor grade, regional lymph node involvement and hormone receptor status.
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Affiliation(s)
- Michał Piotr Budzik
- Department of Cancer Prevention, Medical University of Warsaw, 81 Zwirki i Wigury St, 02-091, Warsaw, Poland.
| | - Marta Magdalena Fudalej
- Department of Cancer Prevention, Medical University of Warsaw, 81 Zwirki i Wigury St, 02-091, Warsaw, Poland.,Doctoral School, Medical University of Warsaw, Warsaw, Poland
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4
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Peng GL, Li L, Guo YW, Yu P, Yin XJ, Wang S, Liu CP. CD8 + cytotoxic and FoxP3 + regulatory T lymphocytes serve as prognostic factors in breast cancer. Am J Transl Res 2019; 11:5039-5053. [PMID: 31497220 PMCID: PMC6731430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Accepted: 07/26/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND There is conflicting evidence regarding the prognostic value of cytotoxic T cell infiltration in breast cancer. The aims of this study were to detect the expression levels and localization of FoxP3 and CD8 in invasive ductal carcinoma of the breast and to investigate the correlations among FoxP3+ regulatory T cells (Tregs), CD8+ cytotoxic T lymphocytes (CTLs), clinicopathological features, and prognosis in patients with breast cancer. METHODS Immunohistochemistry was used to detect the expression levels and localization of FoxP3 and CD8. One-sample t-test, one-way analysis of variance, and Kaplan-Meier log-rank tests were used to analyze correlations between the expression levels of CD8 and FoxP3; Kaplan-Meier Log-rank test was used to analyze clinicopathological features to explore the prognostic significance of CD8 and FoxP3 in patients with breast cancer. RESULTS FoxP3 expression in the tumor bed was higher than that in the stroma, while CD8 was primarily expressed in the stroma. CD8 expression was associated with favorable prognostic factors. However, FoxP3 expression and an increased ratio of total FoxP3+ Tregs to CD8+ CTLs were significantly correlated with unfavorable prognostic factors. Additionally, an increased ratio was associated with molecular subtypes (ER+Her2+, ER+Her2-, ER-Her2+, and ER-Her2-) of breast cancer. Overexpression of FoxP3 and a high FoxP3+/CD8+ ratio were correlated with poor overall survival (OS) and disease-free survival (DFS). However, CD8 expression only affected OS in patients with breast cancer. CONCLUSIONS Tumor-infiltrating lymphocytes are localized variously depending on the subtype. CD8+ CTLs were associated with a good prognosis, while FoxP3+ Tregs were associated with adverse outcomes in patients with breast cancer. CD8+ CTLs and FoxP3+ Tregs are potential predictive prognostic factors for patients with breast cancer.
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Affiliation(s)
- Gong-Ling Peng
- Department of Thyroid and Breast Surgery, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and TechnologyWuhan 430014, China
| | - Liang Li
- Department of Radiology, Renmin Hospital of Wuhan UniversityWuhan 430060, China
| | - Ya-Wen Guo
- Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhan 430000, China
| | - Pan Yu
- Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhan 430000, China
| | - Xing-Jie Yin
- Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhan 430000, China
| | - Shan Wang
- Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhan 430000, China
| | - Chun-Ping Liu
- Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhan 430000, China
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5
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Gomes IA, Miranda A, Nunes C. Factors associated with locoregional and metastatic breast cancer at diagnosis in a Southern Portuguese registry in the period 2005-2012. Eur J Cancer Prev 2019; 28:492-9. [PMID: 30407215 DOI: 10.1097/CEJ.0000000000000492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Breast cancer (BC) is the most frequent malignancy in Portuguese women, and more than half of the registered cases live in the south of the country. The main of this study was to characterize patients with locoregional and metastatic incident BC living in the Southern Portuguese and Madeira regions in 2005-2012 according to demographic, clinical and contextual characteristics. Additionally it aimns to find the associations and relative influences of these factors with locoregional or metastatic disease at diagnosis. After a descriptive approach, binary logistic regression models were used to estimate factors related to the presence of metastatic disease at diagnosis. A final multiple regression model was developed and presented graphically as a nomogram. The median age at diagnosis was 60.84 years, being statistically lower in locoregional cases (P < 0.001). Most patients presented a locoregional disease (78.4%) of unspecified location (44.5%) and had a ductal carcinoma (73.1%). The Lisbon region represented 50.5% of the analyzed cases. Metastatic disease significantly decreased over the period under analysis ( ≈ 7%/year). Demographic (age at diagnosis ≥ 50 years), clinical (lobular and 'other' morphologies, unspecified location) and contextual (residence in Portalegre) characteristics were statistically correlated with the presence of metastatic disease at the time of BC diagnosis in univariate logistic regression, with all but the last maintaining their significance in a multivariate model. Cases with metastatic BC disease at diagnosis are decreasing; however, additional information on their characteristics can improve the alignment of public health strategies, thus strengthening this trend, and contributing to the development of a graphically tailored screening tool.
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6
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Horne HN, Oh H, Sherman ME, Palakal M, Hewitt SM, Schmidt MK, Milne RL, Hardisson D, Benitez J, Blomqvist C, Bolla MK, Brenner H, Chang-Claude J, Cora R, Couch FJ, Cuk K, Devilee P, Easton DF, Eccles DM, Eilber U, Hartikainen JM, Heikkilä P, Holleczek B, Hooning MJ, Jones M, Keeman R, Mannermaa A, Martens JWM, Muranen TA, Nevanlinna H, Olson JE, Orr N, Perez JIA, Pharoah PDP, Ruddy KJ, Saum KU, Schoemaker MJ, Seynaeve C, Sironen R, Smit VTHBM, Swerdlow AJ, Tengström M, Thomas AS, Timmermans AM, Tollenaar RAEM, Troester MA, van Asperen CJ, van Deurzen CHM, Van Leeuwen FF, Van't Veer LJ, García-Closas M, Figueroa JD. E-cadherin breast tumor expression, risk factors and survival: Pooled analysis of 5,933 cases from 12 studies in the Breast Cancer Association Consortium. Sci Rep 2018; 8:6574. [PMID: 29700408 PMCID: PMC5920115 DOI: 10.1038/s41598-018-23733-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Accepted: 03/16/2018] [Indexed: 01/20/2023] Open
Abstract
E-cadherin (CDH1) is a putative tumor suppressor gene implicated in breast carcinogenesis. Yet, whether risk factors or survival differ by E-cadherin tumor expression is unclear. We evaluated E-cadherin tumor immunohistochemistry expression using tissue microarrays of 5,933 female invasive breast cancers from 12 studies from the Breast Cancer Consortium. H-scores were calculated and case-case odds ratios (OR) and 95% confidence intervals (CIs) were estimated using logistic regression. Survival analyses were performed using Cox regression models. All analyses were stratified by estrogen receptor (ER) status and histologic subtype. E-cadherin low cases (N = 1191, 20%) were more frequently of lobular histology, low grade, >2 cm, and HER2-negative. Loss of E-cadherin expression (score < 100) was associated with menopausal hormone use among ER-positive tumors (ever compared to never users, OR = 1.24, 95% CI = 0.97-1.59), which was stronger when we evaluated complete loss of E-cadherin (i.e. H-score = 0), OR = 1.57, 95% CI = 1.06-2.33. Breast cancer specific mortality was unrelated to E-cadherin expression in multivariable models. E-cadherin low expression is associated with lobular histology, tumor characteristics and menopausal hormone use, with no evidence of an association with breast cancer specific survival. These data support loss of E-cadherin expression as an important marker of tumor subtypes.
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Affiliation(s)
- Hisani N Horne
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Division of Molecular Genetics & Pathology, US Food and Drug Administration, Silver Spring, MD, USA
| | - Hannah Oh
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Department of Health Policy and Management, College of Health Science, Korea University, Seoul, Korea
| | - Mark E Sherman
- Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA
| | - Maya Palakal
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Stephen M Hewitt
- Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Marjanka K Schmidt
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - Roger L Milne
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global health, The University of Melbourne, Melbourne, Victoria, Australia
| | - David Hardisson
- Department of Pathology, Molecular Pathology and Therapeutic Targets Group, Hospital Universitario La Paz IdiPAZ, and Facultad de Medicina, Universidad Autonoma de Madrid, Madrid, Spain
| | - Javier Benitez
- Human Cancer Genetics Program, Spanish National Cancer Research Centre, Madrid, Spain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER), Valencia, Spain
| | - Carl Blomqvist
- Department of Oncology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Research Group Genetic Cancer Epidemiology, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Renata Cora
- Independent contractor, CT(ASCP), MB (ASCP), National Cancer Institute, Bethesda, MD, USA
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Katarina Cuk
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Peter Devilee
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Diana M Eccles
- Cancer Sciences Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Ursula Eilber
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jaana M Hartikainen
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland
| | - Päivi Heikkilä
- Department of Pathology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | | | - Maartje J Hooning
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Michael Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Renske Keeman
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Arto Mannermaa
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland
| | - John W M Martens
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Taru A Muranen
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Janet E Olson
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Nick Orr
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Jose I A Perez
- Servicio de Cirugía General y Especialidades, Hospital Monte Naranco, Oviedo, Spain
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | | | - Kai-Uwe Saum
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Minouk J Schoemaker
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Caroline Seynaeve
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Reijo Sironen
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland
| | - Vincent T H B M Smit
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Maria Tengström
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Cancer Center, Kuopio University Hospital, Kuopio, Finland
- Institute of Clinical Medicine, Oncology, University of Eastern Finland, Kuopio, Finland
| | - Abigail S Thomas
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - A Mieke Timmermans
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Rob A E M Tollenaar
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Melissa A Troester
- Department of Pathology and Laboratory Medicin, Gillings School of Global Public Health, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Christi J van Asperen
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Flora F Van Leeuwen
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Laura J Van't Veer
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | | | - Jonine D Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh, UK.
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7
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Williams LA, Nichols HB, Hoadley KA, Tse CK, Geradts J, Bell ME, Perou CM, Love MI, Olshan AF, Troester MA. Reproductive risk factor associations with lobular and ductal carcinoma in the Carolina Breast Cancer Study. Cancer Causes Control 2018; 29:25-32. [PMID: 29124544 PMCID: PMC5903274 DOI: 10.1007/s10552-017-0977-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Accepted: 10/30/2017] [Indexed: 12/15/2022]
Abstract
BACKGROUND Invasive lobular breast tumors display unique reproductive risk factor profiles. Lobular tumors are predominantly Luminal A subtype, and it is unclear whether reported risk factor associations are independent of molecular subtype. METHODS Polytomous logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (95% CIs) for the associations between risk factors and histologic subtype [ductal (n = 2,856), lobular (n = 326), and mixed ductal-lobular (n = 473)] in the Carolina Breast Cancer Study (1993-2013). Three-marker immunohistochemical clinical subtypes were defined as Luminal A (ER+ or PR+/HER2-), Luminal B (ER+ or PR+/HER2+), Triple Negative (ER-/PR-/HER2-), and HER2+ (ER-/PR-/HER2+). RESULTS In case-case analyses compared to ductal, lobular tumors were significantly associated with lactation duration > 12 months [OR 1.86, 95% CI (1.33-2.60)], age at first birth ≥ 26 years [OR: 1.35, 95% CI: (1.03-1.78)], and current oral contraceptive use [OR: 1.86, 95% CI: (1.08-3.20)]. Differences in risk factor associations between ductal and lobular tumors persisted after restricting to Luminal A subtype. CONCLUSIONS Lobular tumors were associated with older age at first birth, increased lactation duration, and current oral contraceptive use. Etiologic heterogeneity by histology persisted after restricting to Luminal A subtype, suggesting both tumor histology and intrinsic subtype play integral parts in breast cancer risk.
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Affiliation(s)
- Lindsay A Williams
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Hazel B Nichols
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Katherine A Hoadley
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Chiu Kit Tse
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Joseph Geradts
- Department of Pathology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA
| | - Mary Elizabeth Bell
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Charles M Perou
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Michael I Love
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Melissa A Troester
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
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8
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Mullooly M, Khodr ZG, Dallal CM, Nyante SJ, Sherman ME, Falk R, Liao LM, Love J, Brinton LA, Gierach GL. Epidemiologic Risk Factors for In Situ and Invasive Breast Cancers Among Postmenopausal Women in the National Institutes of Health-AARP Diet and Health Study. Am J Epidemiol 2017. [PMID: 28637226 DOI: 10.1093/aje/kwx206] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Comparing risk factor associations between invasive breast cancers and possible precursors may further our understanding of factors related to initiation versus progression. Accordingly, among 190,325 postmenopausal participants in the National Institutes of Health-AARP Diet and Health Study (1995-2011), we compared the association between risk factors and incident ductal carcinoma in situ (DCIS; n = 1,453) with that of risk factors and invasive ductal carcinomas (n = 7,525); in addition, we compared the association between risk factors and lobular carcinoma in situ (LCIS; n = 186) with that of risk factors and invasive lobular carcinomas (n = 1,191). Hazard ratios and 95% confidence intervals were estimated from multivariable Cox proportional hazards regression models. We used case-only multivariable logistic regression to test for heterogeneity in associations. Younger age at menopause was associated with a higher risk of DCIS but lower risks of LCIS and invasive ductal carcinomas (P for heterogeneity < 0.01). Prior breast biopsy was more strongly associated with the risk of LCIS than the risk of DCIS (P for heterogeneity = 0.04). Increased risks associated with use of menopausal hormone therapy were stronger for LCIS than DCIS (P for heterogeneity = 0.03) and invasive lobular carcinomas (P for heterogeneity < 0.01). Associations were similar for race, age at menarche, age at first birth, family history, alcohol consumption, and smoking status, which suggests that most risk factor associations are similar for in situ and invasive cancers and may influence early stages of tumorigenesis. The differential associations observed for various factors may provide important clues for understanding the etiology of certain breast cancers.
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Affiliation(s)
- Maeve Mullooly
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
- Cancer Prevention Fellowship Program, Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland
| | - Zeina G Khodr
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Cher M Dallal
- Department of Epidemiology and Biostatistics, School of Public Health, University of Maryland, College Park, College Park, Maryland
| | - Sarah J Nyante
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Mark E Sherman
- Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland
| | - Roni Falk
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Linda M Liao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Jeffrey Love
- Strategic Issues Research, AARP Research Center, Washington, DC
| | - Louise A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
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9
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Yang M, Bao W, Zhang X, Kang Y, Haffty B, Zhang L. Short-term and long-term clinical outcomes of uncommon types of invasive breast cancer. Histopathology 2017; 71:874-886. [DOI: 10.1111/his.13328] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Revised: 07/21/2017] [Accepted: 07/24/2017] [Indexed: 11/30/2022]
Affiliation(s)
- Mu Yang
- Department of Pathology; University Medical Center of Princeton; Plainsboro NJ UK
| | - Wei Bao
- Department of Epidemiology; College of Public Health; University of Iowa; Iowa City; IA USA
| | - Xinmin Zhang
- Department of Pathology; Cooper University Hospital; Camden NJ USA
| | - Yibin Kang
- Department of Molecular Biology; Princeton University; Princeton NJ USA
| | - Bruce Haffty
- Rutgers Cancer Institute of New Jersey; New Brunswick NJ USA
| | - Lanjing Zhang
- Department of Pathology; University Medical Center of Princeton; Plainsboro NJ UK
- Rutgers Cancer Institute of New Jersey; New Brunswick NJ USA
- Department of Biological Sciences; Rutgers University; Newark NJ USA
- Department of Chemical Biology; Ernest Mario School of Pharmacy, Rutgers University; Piscataway NJ USA
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10
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Xiao Y, Ma D, Ruan M, Zhao S, Liu XY, Jiang YZ, Shao ZM. Mixed invasive ductal and lobular carcinoma has distinct clinical features and predicts worse prognosis when stratified by estrogen receptor status. Sci Rep 2017; 7:10380. [PMID: 28871133 PMCID: PMC5583173 DOI: 10.1038/s41598-017-10789-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Accepted: 08/14/2017] [Indexed: 12/15/2022] Open
Abstract
In order to investigate clinicopathological characteristics and prognosis of mixed invasive ductal and lobular carcinoma (IDC-L), 209,109 primary breast cancer patients diagnosed with invasive ductal carcinoma (IDC), invasive lobular carcinoma (ILC) or IDC-L were included. It was found that IDC-L patients had lower tumor grade and higher hormone receptor positive proportions than IDC patients. Moreover, IDC-L patients were younger and had a similar hormone receptor status compared with ILC patients. Kaplan-Meier plots showed that the breast cancer-specific survival (BCSS) of IDC-L patients was significantly better than IDC patients (P < 0.001) and tended to be better than ILC patients (P = 0.166). However, after adjusting for clinicopathological factors, survival advantage of IDC-L disappeared. Subgroup analysis indicated that IDC-L had higher hazard ratios (HRs) than IDC in grade 1, grade 2, ER-positive and ER-negative subgroups. Survival analysis in ER-positive and ER-negative subgroups showed that IDC-L predicted a worse prognosis than IDC. In conclusion, IDC-L is a distinct histological subtype compared with IDC and ILC. Lower grade and higher ER-positive proportions mainly contribute to its better prognosis. In both ER-positive and ER-negative subgroups, IDC-L predicts worse prognosis than IDC, which suggested the inadequacy of IDC-based therapy and the need of escalated therapy.
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Affiliation(s)
- Yi Xiao
- Department of Breast Surgery, Fudan University Shanghai Cancer Center; Cancer Institute, Fudan University Shanghai Cancer Center, 270 Dong-an Road, Shanghai, 200032, People's Republic of China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Ding Ma
- Department of Breast Surgery, Fudan University Shanghai Cancer Center; Cancer Institute, Fudan University Shanghai Cancer Center, 270 Dong-an Road, Shanghai, 200032, People's Republic of China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Miao Ruan
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.,Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China
| | - Shen Zhao
- Department of Breast Surgery, Fudan University Shanghai Cancer Center; Cancer Institute, Fudan University Shanghai Cancer Center, 270 Dong-an Road, Shanghai, 200032, People's Republic of China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Xi-Yu Liu
- Department of Breast Surgery, Fudan University Shanghai Cancer Center; Cancer Institute, Fudan University Shanghai Cancer Center, 270 Dong-an Road, Shanghai, 200032, People's Republic of China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Yi-Zhou Jiang
- Department of Breast Surgery, Fudan University Shanghai Cancer Center; Cancer Institute, Fudan University Shanghai Cancer Center, 270 Dong-an Road, Shanghai, 200032, People's Republic of China. .,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
| | - Zhi-Ming Shao
- Department of Breast Surgery, Fudan University Shanghai Cancer Center; Cancer Institute, Fudan University Shanghai Cancer Center, 270 Dong-an Road, Shanghai, 200032, People's Republic of China. .,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China. .,Institutes of Biomedical Sciences, Fudan University, Shanghai, People's Republic of China.
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11
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Neilson HK, Farris MS, Stone CR, Vaska MM, Brenner DR, Friedenreich CM. Moderate-vigorous recreational physical activity and breast cancer risk, stratified by menopause status: a systematic review and meta-analysis. Menopause 2017; 24:322-44. [DOI: 10.1097/gme.0000000000000745] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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12
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Jones ME, Schoemaker MJ, Wright L, McFadden E, Griffin J, Thomas D, Hemming J, Wright K, Ashworth A, Swerdlow AJ. Menopausal hormone therapy and breast cancer: what is the true size of the increased risk? Br J Cancer 2016; 115:607-15. [PMID: 27467055 PMCID: PMC4997554 DOI: 10.1038/bjc.2016.231] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2016] [Revised: 06/30/2016] [Accepted: 07/06/2016] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Menopausal hormone therapy (MHT) increases breast cancer risk; however, most cohort studies omit MHT use after enrolment and many infer menopausal age. METHODS We used information from serial questionnaires from the UK Generations Study cohort to estimate hazard ratios (HRs) for breast cancer among post-menopausal women with known menopausal age, and examined biases induced when not updating data on MHT use and including women with inferred menopausal age. RESULTS Among women recruited in 2003-2009, at 6 years of follow-up, 58 148 had reached menopause and 96% had completed a follow-up questionnaire. Among 39 183 women with known menopausal age, 775 developed breast cancer, and the HR in relation to current oestrogen plus progestogen MHT use (based on 52 current oestrogen plus progestogen MHT users in breast cancer cases) relative to those with no previous MHT use was 2.74 (95% confidence interval (CI): 2.05-3.65) for a median duration of 5.4 years of current use, reaching 3.27 (95% CI: 1.53-6.99) at 15+ years of use. The excess HR was underestimated by 53% if oestrogen plus progestogen MHT use was not updated after recruitment, 13% if women with uncertain menopausal age were included, and 59% if both applied. The HR for oestrogen-only MHT was not increased (HR=1.00; 95% CI: 0.66-1.54). CONCLUSIONS Lack of updating MHT status through follow-up and inclusion of women with inferred menopausal age is likely to result in substantial underestimation of the excess relative risks for oestrogen plus progestogen MHT use in studies with long follow-up, limited updating of exposures, and changing or short durations of use.
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Affiliation(s)
- Michael E Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Minouk J Schoemaker
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Lauren Wright
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Emily McFadden
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - James Griffin
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Dawn Thomas
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Jane Hemming
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Karen Wright
- The National Cancer Registration Service–Eastern Office, Public Health England, Cambridge CB21 5XA, UK
| | - Alan Ashworth
- Division of Breast Cancer Research, The Institute of Cancer Research, London SW7 3RP, UK
- Breakthrough Breast Cancer Research Centre at The Institute of Cancer Research, London SW7 3RP, UK
- Division of Molecular Pathology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London SW7 3RP, UK
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13
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Shao J, Gan L, Wang J. Transfection of chondromodulin I into human breast cancer cells and its effect on the inhibition of cancer cell growth. Mol Med Rep 2016; 13:4303-8. [PMID: 27035228 DOI: 10.3892/mmr.2016.5079] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2015] [Accepted: 02/15/2016] [Indexed: 11/06/2022] Open
Abstract
Breast cancer affects one in every eight women, and has been associated with higher rates of female mortality than any other cancer type, with the exception of lung cancer. It has been reported that chondromodulin I (ChM-I) was able to suppress tumor angiogenesis and growth in vivo. In order to investigate the antitumor action of ChM‑I on human breast cancer cells, a plasmid expressing ChM‑I was constructed and transfected into human breast cancer cells using an adenoviral vector. Reverse transcription‑polymerase chain reaction detected ChM‑I expression in human breast cancer cell lines, whereas no expression was detected in the control groups. In order to assess the effect of ChM‑I on human breast cancer cells, cell counting kit‑8 (CCK‑8) and colony formation analyses were used to detect tumor cell proliferation, and the proliferation of ChM‑I‑transfected cells was significantly reduced, as compared with the control. In addition, the mRNA expression levels of cell cycle‑associated genes in ChM‑I‑transfected cells were significantly decreased, as compared with the control, which suggested that ChM‑I transfection was able to inhibit the expression of genes associated with the cell cycle. The results of the present study indicated that ChM‑I was able to inhibit the growth of breast cancer cells; thus suggesting that ChM-I may have potential clinical applications in the treatment of breast cancer.
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Affiliation(s)
- Jie Shao
- Department of General Surgery, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China
| | - Linghong Gan
- Department of Nursing, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China
| | - Jie Wang
- Department of General Surgery, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China
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14
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Dossus L, Benusiglio PR. Lobular breast cancer: incidence and genetic and non-genetic risk factors. Breast Cancer Res 2015; 17:37. [PMID: 25848941 PMCID: PMC4357148 DOI: 10.1186/s13058-015-0546-7] [Citation(s) in RCA: 97] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2014] [Accepted: 03/03/2015] [Indexed: 12/12/2022] Open
Abstract
While most invasive breast cancers consist of carcinomas of the ductal type, about 10% are invasive lobular carcinomas. Invasive lobular and ductal carcinomas differ with respect to risk factors. Invasive lobular carcinoma is more strongly associated with exposure to female hormones, and therefore its incidence is more subject to variation. This is illustrated by US figures during the 1987 to 2004 period: after 12 years of increases, breast cancer incidence declined steadily from 1999 to 2004, reflecting among other causes the decreasing use of menopausal hormone therapy, and these variations were stronger for invasive lobular than for invasive ductal carcinoma. Similarly, invasive lobular carcinoma is more strongly associated with early menarche, late menopause and late age at first birth. As for genetic risk factors, four high-penetrance genes are tested in clinical practice when genetic susceptibility to breast cancer is suspected, BRCA1, BRCA2, TP53 and CDH1. Germline mutations in BRCA1 and TP53 are predominantly associated with invasive ductal carcinoma, while BRCA2 mutations are associated with both ductal and lobular cancers. CDH1, the gene coding for the E-cadherin adhesion protein, is of special interest as mutations are associated with invasive lobular carcinoma, but never with ductal carcinoma. It was initially known as the main susceptibility gene for gastric cancer of the diffuse type, but the excess of breast cancers of the lobular type in CDH1 families led researchers to identify it also as a susceptibility gene for invasive lobular carcinoma. The risk of invasive lobular carcinoma is high in female mutation carriers, as about 50% are expected to develop the disease. Carriers must therefore undergo intensive breast cancer screening, with, for example, yearly magnetic resonance imaging and mammogram starting at age 30 years.
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Brinton LA, Smith L, Gierach GL, Pfeiffer RM, Nyante SJ, Sherman ME, Park Y, Hollenbeck AR, Dallal CM. Breast cancer risk in older women: results from the NIH-AARP Diet and Health Study. Cancer Causes Control 2014; 25:843-57. [PMID: 24810653 DOI: 10.1007/s10552-014-0385-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2014] [Accepted: 04/09/2014] [Indexed: 12/27/2022]
Abstract
BACKGROUND Divergent risk factors exist for premenopausal and postmenopausal breast cancers, but it is unclear whether differences by age exist among postmenopausal women. METHODS We examined relationships among 190,872 postmenopausal women, ages 50-71 years recruited during 1995-1996 for the NIH-AARP Diet and Health Study, in whom 7,384 incident invasive breast carcinomas were identified through 2006. Multivariable Cox regression hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated for breast cancer risk factors by age (50-59, 60-69, ≥70 years). RESULTS The only factor showing significant statistical heterogeneity by age (p(het) = 0.001) was menopausal hormone therapy duration, but trends were apparent across all ages and the strongest association prevailed among women 60-69 years. Although other risk factors did not show statistically significant heterogeneity by age, we did observe attenuated relations for parity and late age at first birth among older women [e.g., HR for age at first birth ≥30 vs. 20-24 = 1.62 (95% CI 1.23-2.14) for women 50-59 years vs. 1.12 (0.96-1.31) for ≥70 years]. In contrast, risk estimates associated with alcohol consumption and BMI tended to be slightly stronger among the oldest subjects [e.g., HR for BMI ≥35 vs. 18.5-24.9 = 1.24 (95% CI 0.97-1.58) for 50-59 years vs. 1.46 (1.26-1.70) for ≥70 years]. These differences were somewhat more pronounced for estrogen receptor positive and ductal cancers, tumors predominating among older women. Breast cancer family history, physical activity, and previous breast biopsies did not show divergent associations by age. CONCLUSION Although breast cancer risk factor differences among older women were not large, they may merit further consideration with respect to individualized risk prediction.
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Affiliation(s)
- Louise A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, 20892, USA,
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16
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Nyante SJ, Gierach GL, Dallal CM, Freedman ND, Park Y, Danforth KN, Hollenbeck AR, Brinton LA. Cigarette smoking and postmenopausal breast cancer risk in a prospective cohort. Br J Cancer 2014; 110:2339-47. [PMID: 24642621 DOI: 10.1038/bjc.2014.132] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2013] [Revised: 02/03/2014] [Accepted: 02/10/2014] [Indexed: 11/17/2022] Open
Abstract
Background: The relationship between cigarette smoking and breast cancer risk has been inconsistent, potentially due to modification by other factors or confounding. Methods: We examined smoking and breast cancer risk in a prospective cohort of 186 150 female AARP (formerly American Association of Retired Persons) members, ages 50–71 years, who joined the study in 1995–96 by responding to a questionnaire. Through 2006, 7481 breast cancers were diagnosed. Multivariable-adjusted hazard ratios (HRs) were estimated, overall and stratified by breast cancer risk factors, using Cox proportional hazards regression. Multiplicative interactions were evaluated using the likelihood ratio test. Results: Increased breast cancer risk was associated with current (HR 1.19, 95% confidence interval (CI) 1.10–1.28) and former (HR 1.07, CI 1.01–1.13) smoking. The current smoking association was stronger among women without (HR 1.24, CI 1.15–1.35) as compared to those with a family history of breast cancer (HR 0.94, CI 0.78–1.13) (P-interaction=0.03). The current smoking association was also stronger among those with later (⩾15 years: HR 1.52, CI 1.20–1.94) as compared with earlier (⩽12 years: HR 1.14, CI 1.03–1.27; 13–14 years: HR 1.18, CI 1.05–1.32) ages at menarche (P-interaction=0.03). Conclusions: Risk was elevated in smokers, particularly in those without a family history or late menarche. Research into smoking's effects on the genome and breast development may clarify these relationships.
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