Literature DB >> 7438019

Familial influences on breast parenchymal patterns.

J N Wolfe, S Albert, S Belle, M Salane.   

Abstract

Some studies accomplished thus far have indicated that mammographic patterns may serve as risk indices for breast cancer. The present investigation was undertaken to determine whether patterns are familial. Mammograms from 110 mothers and their daughters and 122 sister pairs and a like number of unrelated controls matched for patient age, reproductive history, and personal and family history of breast cancer and drawn from the files of the Radiology Department of Hutzel Hospital, Detroit, Michigan, were compared. A familial influence was indicated by the finding that pattern similarities were significantly stronger in test cases than in unrelated controls. This influence appeared to be manifested by premature age changes in daughters and younger sisters and consisted, primarily, of a decrease in DY and an increase in P2 patterns. The data suggest that performing mammography on first degree relatives of women with high risk P2 and DY patterns should be considered.

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Year:  1980        PMID: 7438019     DOI: 10.1002/1097-0142(19801201)46:11<2433::aid-cncr2820461123>3.0.co;2-e

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  6 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.  Mammographic density does not differ between unaffected BRCA1/2 mutation carriers and women at low-to-average risk of breast cancer.

Authors:  Gretchen L Gierach; Jennifer T Loud; Catherine K Chow; Sheila A Prindiville; Jennifer Eng-Wong; Peter W Soballe; Claudia Giambartolomei; Phuong L Mai; Claudia E Galbo; Kathryn Nichols; Kathleen A Calzone; Celine Vachon; Mitchell H Gail; Mark H Greene
Journal:  Breast Cancer Res Treat       Date:  2010-02-04       Impact factor: 4.872

Review 3.  Can genes for mammographic density inform cancer aetiology?

Authors:  Linda E Kelemen; Thomas A Sellers; Celine M Vachon
Journal:  Nat Rev Cancer       Date:  2008-09-05       Impact factor: 60.716

4.  Plasma lipids in premenopausal women with mammographic dysplasia.

Authors:  N F Boyd; V McGuire; E Fishell; V Kuriov; G Lockwood; D Tritchler
Journal:  Br J Cancer       Date:  1989-05       Impact factor: 7.640

5.  Relationships between computer-extracted mammographic texture pattern features and BRCA1/2 mutation status: a cross-sectional study.

Authors:  Gretchen L Gierach; Hui Li; Jennifer T Loud; Mark H Greene; Catherine K Chow; Li Lan; Sheila A Prindiville; Jennifer Eng-Wong; Peter W Soballe; Claudia Giambartolomei; Phuong L Mai; Claudia E Galbo; Kathryn Nichols; Kathleen A Calzone; Olufunmilayo I Olopade; Mitchell H Gail; Maryellen L Giger
Journal:  Breast Cancer Res       Date:  2014-08-23       Impact factor: 6.466

Review 6.  Mammographic density. Potential mechanisms of breast cancer risk associated with mammographic density: hypotheses based on epidemiological evidence.

Authors:  Lisa J Martin; Norman F Boyd
Journal:  Breast Cancer Res       Date:  2008-01-09       Impact factor: 6.466

  6 in total

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