Literature DB >> 18398028

Association of mammographic density with the pathology of subsequent breast cancer among postmenopausal women.

Karthik Ghosh1, Kathleen R Brandt, Thomas A Sellers, Carol Reynolds, Christopher G Scott, Shaun D Maloney, Michael J Carston, V Shane Pankratz, Celine M Vachon.   

Abstract

BACKGROUND: Limited studies have examined the associations between mammographic density and subsequent breast tumor characteristics.
METHODS: Eligible women were part of a case-control study of postmenopausal breast cancer, were 40 years or older and had a routine mammogram 4 years or more before their diagnosis. Mammographic density (percent density, dense area, and nondense area) was estimated using a computer-assisted thresholding program. At the time of cancer diagnosis, cases were classified as asymptomatic or symptomatic based on medical record review and breast imaging workup. Pathologic review was done blinded to the density status. Linear regression models and tests for trend examined the association between pathologic characteristics of the breast tumor and the components of density for all participants, and stratified by symptom status at diagnosis.
RESULTS: Of the 286 eligible cases, 77% were 60 years or older and mean percent density was 29.5% (SD, 14.6%). Density was not significantly associated with tumor size (P = 0.22), histologic type (P = 0.77), estrogen receptor (P = 0.11) or progesterone receptor (P = 0.37) status, mitotic activity (P = 0.12), or nuclear pleomorphism (P = 0.09; P values for percent density). An inverse association was suggested between tumor grade and percent density (32.0%, 30.3%, 26.7% for grades 1-3; P = 0.06 for trend). The inverse association with tumor grade and its components (nuclear pleomorphism and tubular differentiation) was only evident among the 97 symptomatic women; positive associations of estrogen receptor (P = 0.009) and progesterone receptor (P = 0.04) were also seen with percent density only in this subgroup.
CONCLUSIONS: The inverse association between tumor grade and percent density in the symptomatic population could inform the biology of the association between mammographic density and breast cancer risk.

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Year:  2008        PMID: 18398028      PMCID: PMC2705947          DOI: 10.1158/1055-9965.EPI-07-0559

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  23 in total

1.  Mammographic density and the risk and detection of breast cancer.

Authors:  Norman F Boyd; Helen Guo; Lisa J Martin; Limei Sun; Jennifer Stone; Eve Fishell; Roberta A Jong; Greg Hislop; Anna Chiarelli; Salomon Minkin; Martin J Yaffe
Journal:  N Engl J Med       Date:  2007-01-18       Impact factor: 91.245

2.  Longitudinal trends in mammographic percent density and breast cancer risk.

Authors:  Celine M Vachon; V Shane Pankratz; Christopher G Scott; Shaun D Maloney; Karthik Ghosh; Kathleen R Brandt; Tia Milanese; Michael J Carston; Thomas A Sellers
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2007-05       Impact factor: 4.254

3.  Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis.

Authors:  Valerie A McCormack; Isabel dos Santos Silva
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4.  Relation of body mass index to tumor markers and survival among young women with invasive ductal breast carcinoma.

Authors:  J R Daling; K E Malone; D R Doody; L G Johnson; J R Gralow; P L Porter
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5.  Endogenous sex hormone levels and mammographic density among postmenopausal women.

Authors:  Rulla M Tamimi; Susan E Hankinson; Graham A Colditz; Celia Byrne
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2005-11       Impact factor: 4.254

6.  Size, node status and grade of breast tumours: association with mammographic parenchymal patterns.

Authors:  E Sala; L Solomon; R Warren; J McCann; S Duffy; R Luben; N Day
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7.  Breast density as a predictor of mammographic detection: comparison of interval- and screen-detected cancers.

Authors:  M T Mandelson; N Oestreicher; P L Porter; D White; C A Finder; S H Taplin; E White
Journal:  J Natl Cancer Inst       Date:  2000-07-05       Impact factor: 13.506

8.  Influence of mammographic parenchymal pattern in screening-detected and interval invasive breast cancers on pathologic features, mammographic features, and patient survival.

Authors:  Gareth J R Porter; Andrew J Evans; Eleanor J Cornford; Helen C Burrell; Jonathan J James; Andrew H S Lee; Jayeta Chakrabarti
Journal:  AJR Am J Roentgenol       Date:  2007-03       Impact factor: 3.959

9.  Mammographic density and breast cancer in three ethnic groups.

Authors:  Giske Ursin; Huiyan Ma; Anna H Wu; Leslie Bernstein; Martine Salane; Yuri R Parisky; Melvin Astrahan; Conchitina C Siozon; Malcolm C Pike
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2003-04       Impact factor: 4.254

10.  Mammographic density is related to stroma and stromal proteoglycan expression.

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  26 in total

1.  Risk factors for ductal, lobular, and mixed ductal-lobular breast cancer in a screening population.

Authors:  Amanda I Phipps; Christopher I Li; Karla Kerlikowske; William E Barlow; Diana S M Buist
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-05-25       Impact factor: 4.254

2.  Breast cancer risk by breast density, menopause, and postmenopausal hormone therapy use.

Authors:  Karla Kerlikowske; Andrea J Cook; Diana S M Buist; Steve R Cummings; Celine Vachon; Pamela Vacek; Diana L Miglioretti
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3.  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
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4.  Does breast density show difference in patients with estrogen receptor-positive and estrogen receptor-negative breast cancer measured on MRI?

Authors:  J-H Chen; F-T Hsu; H-N Shih; C-C Hsu; D Chang; K Nie; O Nalcioglu; M-Y Su
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5.  Breast density influences tumor subtypes and tumor aggressiveness.

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Journal:  J Natl Cancer Inst       Date:  2011-07-27       Impact factor: 13.506

6.  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

7.  Interreader scoring variability in an observer study using dual-modality imaging for breast cancer detection in women with dense breasts.

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8.  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

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

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Journal:  Mol Clin Oncol       Date:  2015-01-27

10.  Genetic variation in the estrogen metabolic pathway and mammographic density as an intermediate phenotype of breast cancer.

Authors:  Jingmei Li; Louise Eriksson; Keith Humphreys; Kamila Czene; Jianjun Liu; Rulla M Tamimi; Sara Lindström; David J Hunter; Celine M Vachon; Fergus J Couch; Christopher G Scott; Pagona Lagiou; Per Hall
Journal:  Breast Cancer Res       Date:  2010-03-09       Impact factor: 6.466

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