Literature DB >> 10830577

Parity and mammographic breast density in relation to breast cancer risk: indication of interaction.

C H van Gils1, J H Hendriks, J D Otten, R Holland, A L Verbeek.   

Abstract

We examined whether the harmful influence of nulliparity on breast cancer risk could be mediated by high mammographic density. Another possibility is that mammographic density and nulliparity act independently or perhaps synergistically on breast cancer risk. Our study population consisted of 129 cases and 517 controls who had been participants in the Nijmegen breast cancer screening programme for 10 years. Breast density was classified with a fully automated technique on digitized mammograms from the screening examination 10 years before diagnosis. Classification was based on the proportion of the breast that was composed of high density: < 5%, 5-25% or > 25%. Data on parity and potential confounders were obtained using a questionnaire, administered at the same examination. We found that nulliparae with low breast density (< 5%) were not at increased risk compared to parous women with low density: OR 1.1 (95% CI 0.2-5.8). Parous women with < 5% density formed the reference category throughout all analyses. The risks for parous women with 5-25% or > 25% density were 2.7 (95% CI 1.3-5.6) and 3.6 (95% CI 1.7-7.7) fold increased, respectively. However, when both factors were present (nulliparity and > or = 5% density), breast cancer risk was 7.1 times higher (95% CI 3.2-15.9). This could indicate that nulliparity and high breast density might work synergistically and that breast density is not just an explanatory factor in the influence of nulliparity on breast cancer risk. It is hypothesized that high breast density (reflecting fibro-glandular tissue with increased epithelial cell proliferation) is more susceptible to carcinogenic effects in the undifferentiated epithelial breast tissue of nulliparae than in the differentiated tissue of parous women. Since there were few data, no firm conclusions can be drawn. If these findings can be confirmed in a larger study population, however, they may have important implications for the prevention and early detection of breast cancer.

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Year:  2000        PMID: 10830577     DOI: 10.1097/00008469-200004000-00006

Source DB:  PubMed          Journal:  Eur J Cancer Prev        ISSN: 0959-8278            Impact factor:   2.497


  20 in total

Review 1.  Breast tissue composition and susceptibility to breast cancer.

Authors:  Norman F Boyd; Lisa J Martin; Michael Bronskill; Martin J Yaffe; Neb Duric; Salomon Minkin
Journal:  J Natl Cancer Inst       Date:  2010-07-08       Impact factor: 13.506

2.  Association of Interactions Between Mammographic Density Phenotypes and Established Risk Factors With Breast Cancer Risk, by Tumor Subtype and Menopausal Status.

Authors:  Hongjie Chen; Lusine Yaghjyan; Christopher Li; Ulrike Peters; Bernard Rosner; Sara Lindström; Rulla M Tamimi
Journal:  Am J Epidemiol       Date:  2021-01-04       Impact factor: 4.897

3.  Breast Cancer Risk - Genes, Environment and Clinics.

Authors:  P A Fasching; A B Ekici; B R Adamietz; D L Wachter; A Hein; C M Bayer; L Häberle; C R Loehberg; 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:  2011-12       Impact factor: 2.915

4.  Parenchymal pattern in women with dense breasts. Variation with age and impact on screening outcomes: observations from a UK screening programme.

Authors:  Laura Ward; S Heller; S Hudson; L Wilkinson
Journal:  Eur Radiol       Date:  2018-05-28       Impact factor: 5.315

Review 5.  Understanding breast cancer risk -- where do we stand in 2005?

Authors:  R G Dumitrescu; I Cotarla
Journal:  J Cell Mol Med       Date:  2005 Jan-Mar       Impact factor: 5.310

6.  Mammographic density, parity and age at first birth, and risk of breast cancer: an analysis of four case-control studies.

Authors:  Christy G Woolcott; Karin Koga; Shannon M Conroy; Celia Byrne; Chisato Nagata; Giske Ursin; Celine M Vachon; Martin J Yaffe; Ian Pagano; Gertraud Maskarinec
Journal:  Breast Cancer Res Treat       Date:  2012-01-06       Impact factor: 4.872

7.  Mammographic breast density and breast cancer risk: interactions of percent density, absolute dense, and non-dense areas with breast cancer risk factors.

Authors:  Lusine Yaghjyan; Graham A Colditz; Bernard Rosner; Rulla M Tamimi
Journal:  Breast Cancer Res Treat       Date:  2015-02-13       Impact factor: 4.872

Review 8.  Mammographic density and breast cancer risk: current understanding and future prospects.

Authors:  Norman F Boyd; Lisa J Martin; Martin J Yaffe; Salomon Minkin
Journal:  Breast Cancer Res       Date:  2011-11-01       Impact factor: 6.466

9.  Percentage density, Wolfe's and Tabár's mammographic patterns: agreement and association with risk factors for breast cancer.

Authors:  Inger T Gram; Yngve Bremnes; Giske Ursin; Gertraud Maskarinec; Nils Bjurstam; Eiliv Lund
Journal:  Breast Cancer Res       Date:  2005-08-25       Impact factor: 6.466

Review 10.  Mammographic density.

Authors:  Norman F Boyd; Lisa J Martin; Martin Yaffe; Salomon Minkin
Journal:  Breast Cancer Res       Date:  2009-12-18       Impact factor: 6.466

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