Literature DB >> 20408823

Mammographic density, estrogen receptor status and other breast cancer tumor characteristics.

Jane Ding1, Ruth Warren, Anne Girling, Deborah Thompson, Douglas Easton.   

Abstract

The aim of this study was to examine the relationship between mammographic density and histological characteristics of breast tumors within a case-control study population. This study was an expansion of a large size case-control study examining the relationship between breast density and breast cancer risk. Percent and area of breast density was assessed in 370 invasive breast cancer cases and 1904 age-matched controls, using a computer-assisted method. Associations between breast density and estrogen receptor (ER) status, histological grade, histological size, lymph node status, vascular invasion, disease extent, and Nottingham Prognostic Index were evaluated, using logistic regression. Women with 50% or greater mammographic density have a 2.63-fold risk (95% confidence interval [95% CI] = 1.78-3.87; p < 0.001) of developing breast cancer compared to women with less than 10% density. Increase in every category of percentage of breast density is also associated with a 1.45-fold risk in developing ER positive tumors relative to ER negative tumors (odds ratio [OR] = 1.02; 95% CI = 1.00-1.04; p = 0.048), and increase in every quartile of absolute area of density is associated with a 1.48-fold ER positive breast cancer risk [95% CI = 1.06-2.07; p = 0.020]. Furthermore, breast density was found to be associated with specifically ER positivity, invasion as well as invasion with in situ, histological grades 1 and 2, tumor size larger than 1.1 cm, lack of vascular invasion, lymph node positivity and negativity, and NPI less than 4.0. After stratifying the data according to mode of diagnosis, the relationship became slightly stronger in the interval cancer group. Similar results were in observed using percent density and absolute density readings. Mammographic density was a stronger risk factor for ER positive [OR = 2.94; 95% CI = 1.94-4.43; p < 0.001] than ER negative cancers when comparing breasts with greater than 50% dense region to those with less than 10% density. No other tumor characteristic had a significant correlation with breast density. These results suggest that mammographic percent density may be more strongly related to ER positive than ER negative breast cancer, but otherwise is a risk factor for breast cancer independent of other tumor characteristics.

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Year:  2010        PMID: 20408823     DOI: 10.1111/j.1524-4741.2010.00907.x

Source DB:  PubMed          Journal:  Breast J        ISSN: 1075-122X            Impact factor:   2.431


  33 in total

Review 1.  Clinical and epidemiological issues in mammographic density.

Authors:  Valentina Assi; Jane Warwick; Jack Cuzick; Stephen W Duffy
Journal:  Nat Rev Clin Oncol       Date:  2011-12-06       Impact factor: 66.675

2.  Risk Factors That Increase Risk of Estrogen Receptor-Positive and -Negative Breast Cancer.

Authors:  Karla Kerlikowske; Charlotte C Gard; Jeffrey A Tice; Elad Ziv; Steven R Cummings; Diana L Miglioretti
Journal:  J Natl Cancer Inst       Date:  2016-12-31       Impact factor: 13.506

3.  Breast density influences tumor subtypes and tumor aggressiveness.

Authors:  Karla Kerlikowske; Amanda I Phipps
Journal:  J Natl Cancer Inst       Date:  2011-07-27       Impact factor: 13.506

Review 4.  A review of the influence of mammographic density on breast cancer clinical and pathological phenotype.

Authors:  Michael S Shawky; Cecilia W Huo; Kara Britt; Erik W Thompson; Michael A Henderson; Andrew Redfern
Journal:  Breast Cancer Res Treat       Date:  2019-06-08       Impact factor: 4.872

5.  Breast density, body mass index, and risk of tumor marker-defined subtypes of breast cancer.

Authors:  Amanda I Phipps; Diana S M Buist; Kathleen E Malone; William E Barlow; Peggy L Porter; Karla Kerlikowske; Ellen S O'Meara; Christopher I Li
Journal:  Ann Epidemiol       Date:  2012-02-25       Impact factor: 3.797

6.  Interaction of mammographic breast density with menopausal status and postmenopausal hormone use in relation to the risk of aggressive breast cancer subtypes.

Authors:  Lusine Yaghjyan; Rulla M Tamimi; Kimberly A Bertrand; Christopher G Scott; Matthew R Jensen; V Shane Pankratz; Kathy Brandt; Daniel Visscher; Aaron Norman; Fergus Couch; John Shepherd; Bo Fan; Yunn-Yi Chen; Lin Ma; Andrew H Beck; Steven R Cummings; Karla Kerlikowske; Celine M Vachon
Journal:  Breast Cancer Res Treat       Date:  2017-06-17       Impact factor: 4.872

7.  Background Parenchymal Enhancement and Fibroglandular Tissue Proportion on Breast MRI: Correlation with Hormone Receptor Expression and Molecular Subtypes of Breast Cancer.

Authors:  Mesut Öztürk; Ahmet Veysel Polat; Yurdanur Süllü; Leman Tomak; Ayfer Kamalı Polat
Journal:  J Breast Health       Date:  2017-01-01

8.  Insulin-like growth factor 1 receptor expression in breast cancer tissue and mammographic density.

Authors:  Woo-Young Sun; Hyo-Young Yun; Young-Jin Song; Heon Kim; Ok-Jun Lee; Seok-Jin Nam; Ja-Seung Koo
Journal:  Mol Clin Oncol       Date:  2015-01-27

9.  Mammographic breast density and subsequent risk of breast cancer in postmenopausal women according to tumor characteristics.

Authors:  Lusine Yaghjyan; Graham A Colditz; Laura C Collins; Stuart J Schnitt; Bernard Rosner; Celine Vachon; Rulla M Tamimi
Journal:  J Natl Cancer Inst       Date:  2011-07-27       Impact factor: 13.506

10.  Biological characteristics of interval cancers: a role for biomarkers in the breast cancer screening.

Authors:  A Caldarella; D Puliti; E Crocetti; S Bianchi; V Vezzosi; P Apicella; M Biancalani; A Giannini; C Urso; F Zolfanelli; E Paci
Journal:  J Cancer Res Clin Oncol       Date:  2012-09-09       Impact factor: 4.553

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