Literature DB >> 21191117

Associations of breast cancer risk factors with tumor subtypes: a pooled analysis from the Breast Cancer Association Consortium studies.

Xiaohong R Yang1, Jenny Chang-Claude, Ellen L Goode, Fergus J Couch, Heli Nevanlinna, Roger L Milne, Mia Gaudet, Marjanka K Schmidt, Annegien Broeks, Angela Cox, Peter A Fasching, Rebecca Hein, Amanda B Spurdle, Fiona Blows, Kristy Driver, Dieter Flesch-Janys, Judith Heinz, Peter Sinn, Alina Vrieling, Tuomas Heikkinen, Kristiina Aittomäki, Päivi Heikkilä, Carl Blomqvist, Jolanta Lissowska, Beata Peplonska, Stephen Chanock, Jonine Figueroa, Louise Brinton, Per Hall, Kamila Czene, Keith Humphreys, Hatef Darabi, Jianjun Liu, Laura J Van 't Veer, Flora E van Leeuwen, Irene L Andrulis, Gord Glendon, Julia A Knight, Anna Marie Mulligan, Frances P O'Malley, Nayana Weerasooriya, Esther M John, Matthias W Beckmann, Arndt Hartmann, Sebastian B Weihbrecht, David L Wachter, Sebastian M Jud, Christian R Loehberg, Laura Baglietto, Dallas R English, Graham G Giles, Catriona A McLean, Gianluca Severi, Diether Lambrechts, Thijs Vandorpe, Caroline Weltens, Robert Paridaens, Ann Smeets, Patrick Neven, Hans Wildiers, Xianshu Wang, Janet E Olson, Victoria Cafourek, Zachary Fredericksen, Matthew Kosel, Celine Vachon, Helen E Cramp, Daniel Connley, Simon S Cross, Sabapathy P Balasubramanian, Malcolm W R Reed, Thilo Dörk, Michael Bremer, Andreas Meyer, Johann H Karstens, Aysun Ay, Tjoung-Won Park-Simon, Peter Hillemanns, Jose Ignacio Arias Pérez, Primitiva Menéndez Rodríguez, Pilar Zamora, Javier Benítez, Yon-Dschun Ko, Hans-Peter Fischer, Ute Hamann, Beate Pesch, Thomas Brüning, Christina Justenhoven, Hiltrud Brauch, Diana M Eccles, William J Tapper, Sue M Gerty, Elinor J Sawyer, Ian P Tomlinson, Angela Jones, Michael Kerin, Nicola Miller, Niall McInerney, Hoda Anton-Culver, Argyrios Ziogas, Chen-Yang Shen, Chia-Ni Hsiung, Pei-Ei Wu, Show-Lin Yang, Jyh-Cherng Yu, Shou-Tung Chen, Giu-Cheng Hsu, Christopher A Haiman, Brian E Henderson, Loic Le Marchand, Laurence N Kolonel, Annika Lindblom, Sara Margolin, Anna Jakubowska, Jan Lubiński, Tomasz Huzarski, Tomasz Byrski, Bohdan Górski, Jacek Gronwald, Maartje J Hooning, Antoinette Hollestelle, Ans M W van den Ouweland, Agnes Jager, Mieke Kriege, Madeleine M A Tilanus-Linthorst, Margriet Collée, Shan Wang-Gohrke, Katri Pylkäs, Arja Jukkola-Vuorinen, Kari Mononen, Mervi Grip, Pasi Hirvikoski, Robert Winqvist, Arto Mannermaa, Veli-Matti Kosma, Jaana Kauppinen, Vesa Kataja, Päivi Auvinen, Ylermi Soini, Reijo Sironen, Stig E Bojesen, David Dynnes Ørsted, Diljit Kaur-Knudsen, Henrik Flyger, Børge G Nordestgaard, Helene Holland, Georgia Chenevix-Trench, Siranoush Manoukian, Monica Barile, Paolo Radice, Susan E Hankinson, David J Hunter, Rulla Tamimi, Suleeporn Sangrajrang, Paul Brennan, James McKay, Fabrice Odefrey, Valerie Gaborieau, Peter Devilee, P E A Huijts, R A E M Tollenaar, C Seynaeve, Gillian S Dite, Carmel Apicella, John L Hopper, Fleur Hammet, Helen Tsimiklis, Letitia D Smith, Melissa C Southey, Manjeet K Humphreys, Douglas Easton, Paul Pharoah, Mark E Sherman, Montserrat Garcia-Closas.   

Abstract

BACKGROUND: Previous studies have suggested that breast cancer risk factors are associated with estrogen receptor (ER) and progesterone receptor (PR) expression status of the tumors.
METHODS: We pooled tumor marker and epidemiological risk factor data from 35,568 invasive breast cancer case patients from 34 studies participating in the Breast Cancer Association Consortium. Logistic regression models were used in case-case analyses to estimate associations between epidemiological risk factors and tumor subtypes, and case-control analyses to estimate associations between epidemiological risk factors and the risk of developing specific tumor subtypes in 12 population-based studies. All statistical tests were two-sided.
RESULTS: In case-case analyses, of the epidemiological risk factors examined, early age at menarche (≤12 years) was less frequent in case patients with PR(-) than PR(+) tumors (P = .001). Nulliparity (P = 3 × 10(-6)) and increasing age at first birth (P = 2 × 10(-9)) were less frequent in ER(-) than in ER(+) tumors. Obesity (body mass index [BMI] ≥ 30 kg/m(2)) in younger women (≤50 years) was more frequent in ER(-)/PR(-) than in ER(+)/PR(+) tumors (P = 1 × 10(-7)), whereas obesity in older women (>50 years) was less frequent in PR(-) than in PR(+) tumors (P = 6 × 10(-4)). The triple-negative (ER(-)/PR(-)/HER2(-)) or core basal phenotype (CBP; triple-negative and cytokeratins [CK]5/6(+) and/or epidermal growth factor receptor [EGFR](+)) accounted for much of the heterogeneity in parity-related variables and BMI in younger women. Case-control analyses showed that nulliparity, increasing age at first birth, and obesity in younger women showed the expected associations with the risk of ER(+) or PR(+) tumors but not triple-negative (nulliparity vs parity, odds ratio [OR] = 0.94, 95% confidence interval [CI] = 0.75 to 1.19, P = .61; 5-year increase in age at first full-term birth, OR = 0.95, 95% CI = 0.86 to 1.05, P = .34; obesity in younger women, OR = 1.36, 95% CI = 0.95 to 1.94, P = .09) or CBP tumors.
CONCLUSIONS: This study shows that reproductive factors and BMI are most clearly associated with hormone receptor-positive tumors and suggest that triple-negative or CBP tumors may have distinct etiology.

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Year:  2010        PMID: 21191117      PMCID: PMC3107570          DOI: 10.1093/jnci/djq526

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  68 in total

1.  Relation between obesity and breast cancer in young women.

Authors:  S L Peacock; E White; J R Daling; L F Voigt; K E Malone
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Authors:  Montserrat Garcia-Closas; Stephen Chanock
Journal:  Clin Cancer Res       Date:  2008-12-15       Impact factor: 12.531

3.  SNPs in ultraconserved elements and familial breast cancer risk.

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Journal:  Carcinogenesis       Date:  2009-01-06       Impact factor: 4.944

4.  Meta-analysis in clinical trials.

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Journal:  Control Clin Trials       Date:  1986-09

5.  Distinct breast cancer incidence and prognostic patterns in the NCI's SEER program: suggesting a possible link between etiology and outcome.

Authors:  William F Anderson; Ismail Jatoi; Susan S Devesa
Journal:  Breast Cancer Res Treat       Date:  2005-03       Impact factor: 4.872

6.  Comparison of age distribution patterns for different histopathologic types of breast carcinoma.

Authors:  William F Anderson; Ruth M Pfeiffer; Graça M Dores; Mark E Sherman
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2006-10       Impact factor: 4.254

7.  Estrogen control of progesterone receptor in human breast cancer: role of estradiol and antiestrogen.

Authors:  K B Horwitz; Y Koseki; W L McGuire
Journal:  Endocrinology       Date:  1978-11       Impact factor: 4.736

8.  Genetic variants of BLM interact with RAD51 to increase breast cancer susceptibility.

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Journal:  Carcinogenesis       Date:  2008-10-28       Impact factor: 4.944

9.  Basal-like breast cancer defined by five biomarkers has superior prognostic value than triple-negative phenotype.

Authors:  Maggie C U Cheang; David Voduc; Chris Bajdik; Samuel Leung; Steven McKinney; Stephen K Chia; Charles M Perou; Torsten O Nielsen
Journal:  Clin Cancer Res       Date:  2008-03-01       Impact factor: 12.531

10.  Established breast cancer risk factors by clinically important tumour characteristics.

Authors:  M García-Closas; L A Brinton; J Lissowska; N Chatterjee; B Peplonska; W F Anderson; N Szeszenia-Dabrowska; A Bardin-Mikolajczak; W Zatonski; A Blair; Z Kalaylioglu; G Rymkiewicz; D Mazepa-Sikora; R Kordek; S Lukaszek; M E Sherman
Journal:  Br J Cancer       Date:  2006-06-06       Impact factor: 7.640

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  333 in total

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Journal:  J Clin Invest       Date:  2011-07       Impact factor: 14.808

Review 2.  Clinical implementation of comprehensive strategies to characterize cancer genomes: opportunities and challenges.

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Journal:  Cancer Discov       Date:  2011-09       Impact factor: 39.397

3.  Breast cancer risk after use of fertility drugs: stimulating new controversy.

Authors:  Louise A Brinton
Journal:  J Natl Cancer Inst       Date:  2012-07-06       Impact factor: 13.506

4.  Age-specific incidence of breast cancer subtypes: understanding the black-white crossover.

Authors:  Christina A Clarke; Theresa H M Keegan; Juan Yang; David J Press; Allison W Kurian; Anish H Patel; James V Lacey
Journal:  J Natl Cancer Inst       Date:  2012-07-05       Impact factor: 13.506

Review 5.  Obesity and cholangiocarcinoma.

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6.  Alcohol Consumption and Risk of Breast Cancer by Tumor Receptor Expression.

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Journal:  Horm Cancer       Date:  2015-09-18       Impact factor: 3.869

7.  Breast Cancer Risk - From Genetics to Molecular Understanding of Pathogenesis.

Authors:  P A Fasching; A B Ekici; D L Wachter; A Hein; C M Bayer; L Häberle; C R Loehberg; M Schneider; S M Jud; K Heusinger; M Rübner; C Rauh; M R Bani; M P Lux; R Schulz-Wendtland; A Hartmann; M W Beckmann
Journal:  Geburtshilfe Frauenheilkd       Date:  2013-12       Impact factor: 2.915

8.  Breast cancer risk in older women: results from the NIH-AARP Diet and Health Study.

Authors:  Louise A Brinton; Llewellyn Smith; Gretchen L Gierach; Ruth M Pfeiffer; Sarah J Nyante; Mark E Sherman; Yikyung Park; Albert R Hollenbeck; Cher M Dallal
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9.  Differential Patterns of Risk Factors for Early-Onset Breast Cancer by ER Status in African American Women.

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Review 10.  Deconvoluting the obesity and breast cancer link: secretome, soil and seed interactions.

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