Literature DB >> 30613869

A Longitudinal Study of the Association between Mammographic Density and Gene Expression in Normal Breast Tissue.

Helga Bergholtz1, Tonje Gulbrandsen Lien1, Giske Ursin2,3,4, Marit Muri Holmen5, Åslaug Helland1,6,7, Therese Sørlie1,8, Vilde Drageset Haakensen9,10.   

Abstract

High mammographic density (MD) is associated with a 4-6 times increase in breast cancer risk. For post-menopausal women, MD often decreases over time, but little is known about the underlying biological mechanisms. MD reflects breast tissue composition, and may be associated with microenvironment subtypes previously identified in tumor-adjacent normal tissue. Currently, these subtypes have not been explored in normal breast tissue. We obtained biopsies from breasts of healthy women at two different time points several years apart and performed microarray gene expression analysis. At time point 1, 65 samples with both MD and gene expression were available. At time point 2, gene expression and MD data were available from 17 women, of which 11 also had gene expression data available from the first time point. We validated findings from our previous study; negative correlation between RBL1 and MD in post-menopausal women, indicating involvement of the TGFβ pathway. We also found that breast tissue samples from women with a large decrease in MD sustained higher expression of genes in the histone family H4. In addition, we explored the previously defined active and inactive microenvironment subtypes and demonstrated that normal breast samples of the active subtype had characteristics similar to the claudin-low breast cancer subtype. Breast biopsies from healthy women are challenging to obtain, but despite a limited sample size, we have identified possible mechanisms relevant for changes in breast biology and MD over time that may be of importance for breast cancer risk and tumor initiation.

Entities:  

Keywords:  Gene expression; Mammographic density; Microenvironment; Normal breast biology; RBL1

Year:  2019        PMID: 30613869     DOI: 10.1007/s10911-018-09423-x

Source DB:  PubMed          Journal:  J Mammary Gland Biol Neoplasia        ISSN: 1083-3021            Impact factor:   2.673


  68 in total

1.  Mammographic density changes in perimenopausal and postmenopausal women: is effect of hormone replacement therapy predictable?

Authors:  E E Sterns; B Zee
Journal:  Breast Cancer Res Treat       Date:  2000-01       Impact factor: 4.872

2.  Gene Expression Omnibus: NCBI gene expression and hybridization array data repository.

Authors:  Ron Edgar; Michael Domrachev; Alex E Lash
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

3.  The p107 tumor suppressor induces stable E2F DNA binding to repress target promoters.

Authors:  R J O'Connor; J E Schaley; G Feeney; P Hearing
Journal:  Oncogene       Date:  2001-04-05       Impact factor: 9.867

4.  A longitudinal study of the effects of menopause on mammographic features.

Authors:  Norman Boyd; Lisa Martin; Jennifer Stone; Laurie Little; Salomon Minkin; Martin Yaffe
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2002-10       Impact factor: 4.254

5.  E2F4/5 and p107 as Smad cofactors linking the TGFbeta receptor to c-myc repression.

Authors:  Chang-Rung Chen; Yibin Kang; Peter M Siegel; Joan Massagué
Journal:  Cell       Date:  2002-07-12       Impact factor: 41.582

6.  Mammographic breast density and family history of breast cancer.

Authors:  Elad Ziv; John Shepherd; Rebecca Smith-Bindman; Karla Kerlikowske
Journal:  J Natl Cancer Inst       Date:  2003-04-02       Impact factor: 13.506

7.  Cross-talk between transforming growth factor-beta and estrogen receptor signaling through Smad3.

Authors:  T Matsuda; T Yamamoto; A Muraguchi; F Saatcioglu
Journal:  J Biol Chem       Date:  2001-09-12       Impact factor: 5.157

Review 8.  Putting tumours in context.

Authors:  M J Bissell; D Radisky
Journal:  Nat Rev Cancer       Date:  2001-10       Impact factor: 60.716

9.  Macronutrient intake and change in mammographic density at menopause: results from a randomized trial.

Authors:  J A Knight; L J Martin; C V Greenberg; G A Lockwood; J W Byng; M J Yaffe; D L Tritchler; N F Boyd
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  1999-02       Impact factor: 4.254

10.  Heritability of mammographic density, a risk factor for breast cancer.

Authors:  Norman F Boyd; Gillian S Dite; Jennifer Stone; Anoma Gunasekara; Dallas R English; Margaret R E McCredie; Graham G Giles; David Tritchler; Anna Chiarelli; Martin J Yaffe; John L Hopper
Journal:  N Engl J Med       Date:  2002-09-19       Impact factor: 91.245

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  1 in total

1.  The use of patient-derived breast tissue explants to study macrophage polarization and the effects of environmental chemical exposure.

Authors:  Kelly J Gregory; Stephanie M Morin; Alex Kubosiak; Jennifer Ser-Dolansky; Benjamin J Schalet; D Joseph Jerry; Sallie S Schneider
Journal:  Immunol Cell Biol       Date:  2020-09-09       Impact factor: 5.126

  1 in total

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