Literature DB >> 22911616

Relationship between mammographic density and breast cancer death in the Breast Cancer Surveillance Consortium.

Gretchen L Gierach1, Laura Ichikawa, Karla Kerlikowske, Louise A Brinton, Ghada N Farhat, Pamela M Vacek, Donald L Weaver, Catherine Schairer, Stephen H Taplin, Mark E Sherman.   

Abstract

BACKGROUND: Women with elevated mammographic density have an increased risk of developing breast cancer. However, among women diagnosed with breast cancer, it is unclear whether higher density portends reduced survival, independent of other factors.
METHODS: We evaluated relationships between mammographic density and risk of death from breast cancer and all causes within the US Breast Cancer Surveillance Consortium. We studied 9232 women diagnosed with primary invasive breast carcinoma during 1996-2005, with a mean follow-up of 6.6 years. Mammographic density was assessed using the Breast Imaging Reporting and Data System (BI-RADS) density classification. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated by Cox proportional hazards regression; women with scattered fibroglandular densities (BI-RADS 2) were the referent group. All statistical tests were two-sided.
RESULTS: A total of 1795 women died, of whom 889 died of breast cancer. In multivariable analyses (adjusted for site, age at and year of diagnosis, American Joint Committee on Cancer stage, body mass index, mode of detection, treatment, and income), high density (BI-RADS 4) was not related to risk of death from breast cancer (HR = 0.92, 95% CI = 0.71 to 1.19) or death from all causes (HR = 0.83, 95% CI = 0.68 to 1.02). Analyses stratified by stage and other prognostic factors yielded similar results, except for an increased risk of breast cancer death among women with low density (BI-RADS 1) who were either obese (HR = 2.02, 95% CI = 1.37 to 2.97) or had tumors of at least 2.0 cm (HR = 1.55, 95% CI = 1.14 to 2.09).
CONCLUSIONS: High mammographic breast density was not associated with risk of death from breast cancer or death from any cause after accounting for other patient and tumor characteristics. Thus, risk factors for the development of breast cancer may not necessarily be the same as factors influencing the risk of death after breast cancer has developed.

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Year:  2012        PMID: 22911616      PMCID: PMC3611814          DOI: 10.1093/jnci/djs327

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  31 in total

1.  Breast Cancer Surveillance Consortium: a national mammography screening and outcomes database.

Authors:  R Ballard-Barbash; S H Taplin; B C Yankaskas; V L Ernster; R D Rosenberg; P A Carney; W E Barlow; B M Geller; K Kerlikowske; B K Edwards; C F Lynch; N Urban; C A Chrvala; C R Key; S P Poplack; J K Worden; L G Kessler
Journal:  AJR Am J Roentgenol       Date:  1997-10       Impact factor: 3.959

2.  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
Journal:  Cancer       Date:  2001-08-15       Impact factor: 6.860

3.  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
Journal:  Eur Radiol       Date:  2000       Impact factor: 5.315

4.  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

5.  Variability and accuracy in mammographic interpretation using the American College of Radiology Breast Imaging Reporting and Data System.

Authors:  K Kerlikowske; D Grady; J Barclay; S D Frankel; S H Ominsky; E A Sickles; V Ernster
Journal:  J Natl Cancer Inst       Date:  1998-12-02       Impact factor: 13.506

6.  Effect of mammographic breast density on breast cancer screening performance: a study in Nijmegen, The Netherlands.

Authors:  C H van Gils; J D Otten; A L Verbeek; J H Hendriks; R Holland
Journal:  J Epidemiol Community Health       Date:  1998-04       Impact factor: 3.710

7.  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

8.  Invasive cancers detected after breast cancer screening yielded a negative result: relationship of mammographic density to tumor prognostic factors.

Authors:  Marilyn A Roubidoux; Janet E Bailey; Linda A Wray; Mark A Helvie
Journal:  Radiology       Date:  2004-01       Impact factor: 11.105

9.  Mammographic features and breast cancer risk: effects with time, age, and menopause status.

Authors:  C Byrne; C Schairer; J Wolfe; N Parekh; M Salane; L A Brinton; R Hoover; R Haile
Journal:  J Natl Cancer Inst       Date:  1995-11-01       Impact factor: 13.506

10.  Deterministic models for breast cancer progression: application to the association between mammographic parenchymal pattern and histologic grade of breast cancers.

Authors:  D A Harrison; S W Duffy; E Sala; R M L Warren; E Couto; N E Day
Journal:  J Clin Epidemiol       Date:  2002-11       Impact factor: 6.437

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  56 in total

1.  Prognostic significance of mammographic density change after initiation of tamoxifen for ER-positive breast cancer.

Authors:  Sarah J Nyante; Mark E Sherman; Ruth M Pfeiffer; Amy Berrington de Gonzalez; Louise A Brinton; Erin J Aiello Bowles; Robert N Hoover; Andrew Glass; Gretchen L Gierach
Journal:  J Natl Cancer Inst       Date:  2015-02-06       Impact factor: 13.506

2.  Five-year risk of interval-invasive second breast cancer.

Authors:  Janie M Lee; Diana S M Buist; Nehmat Houssami; Emily C Dowling; Elkan F Halpern; G Scott Gazelle; Constance D Lehman; Louise M Henderson; Rebecca A Hubbard
Journal:  J Natl Cancer Inst       Date:  2015-04-22       Impact factor: 13.506

3.  The relationship between terminal duct lobular unit features and mammographic density among Chinese breast cancer patients.

Authors:  Hyuna Sung; Changyuan Guo; Erni Li; Jing Li; Ruth M Pfeiffer; Jennifer L Guida; Renata Cora; Nan Hu; Joseph Deng; Jonine D Figueroa; Mark E Sherman; Gretchen L Gierach; Ning Lu; Xiaohong R Yang
Journal:  Int J Cancer       Date:  2019-01-07       Impact factor: 7.396

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.  Recommendations on screening for breast cancer in women aged 40-74 years who are not at increased risk for breast cancer.

Authors:  Scott Klarenbach; Nicki Sims-Jones; Gabriela Lewin; Harminder Singh; Guylène Thériault; Marcello Tonelli; Marion Doull; Susan Courage; Alejandra Jaramillo Garcia; Brett D Thombs
Journal:  CMAJ       Date:  2018-12-10       Impact factor: 8.262

6.  Breast cancer: Risk of death not increased for patients with dense breasts.

Authors:  Lisa Hutchinson
Journal:  Nat Rev Clin Oncol       Date:  2012-09-11       Impact factor: 66.675

Review 7.  Supplemental Screening for Breast Cancer in Women With Dense Breasts: A Systematic Review for the U.S. Preventive Services Task Force.

Authors:  Joy Melnikow; Joshua J Fenton; Evelyn P Whitlock; Diana L Miglioretti; Meghan S Weyrich; Jamie H Thompson; Kunal Shah
Journal:  Ann Intern Med       Date:  2016-01-12       Impact factor: 25.391

8.  Prognostic value of mammographic breast density in patients with metastatic breast cancer.

Authors:  Shereef Elsamany; Abdullah Alzahrani; Seham Abd Elkhalik; Omaima Elemam; Elham Rawah; Mian U Farooq; Musab H Almatrafi; Feras K Olayan
Journal:  Med Oncol       Date:  2014-07-11       Impact factor: 3.064

9.  Mammographic Density and Prediction of Nodal Status in Breast Cancer Patients.

Authors:  C C Hack; L Häberle; K Geisler; R Schulz-Wendtland; A Hartmann; P A Fasching; M Uder; D L Wachter; S M Jud; C R Loehberg; M P Lux; C Rauh; M W Beckmann; K Heusinger
Journal:  Geburtshilfe Frauenheilkd       Date:  2013-02       Impact factor: 2.915

10.  Applying Data Mining Techniques to Improve Breast Cancer Diagnosis.

Authors:  Joana Diz; Goreti Marreiros; Alberto Freitas
Journal:  J Med Syst       Date:  2016-08-06       Impact factor: 4.460

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