Literature DB >> 12186379

Breast cancer-race, ethnicity, and survival: a literature review.

Jennifer B Campbell1.   

Abstract

A review of the literature on breast cancer was conducted to identify gaps in knowledge as it relates breast cancer risk, race, and survival. The discussion has been divided into three broad categories: (1) breast cancer basics and the relationships between risks, race, and survival; (2) influence of race and socioeconomic status on breast cancer morbidity and mortality; and (3) relationship between age and mammography screening. All of the cited studies reveal evidence of a linkage between race and breast cancer survival, however, the effects of socioeconomic factors and race needs to be examined. Results suggest that African-American women and lower income women need to be targeted for early detection. Many of the analyses among younger women (20-39 years) reported that very little disease occurrence in young black women was associated with the socioeconomic factors studied. Conclusions from all studies indicate that more aggressive screening and public education programs directed toward younger black women is warranted. The gaps in knowledge identified included the lack of an explanation of early onset breast cancer with high penetrance as well as an explanation of African-American women's resistance to self-examination and mammography screening and other barriers to diagnostic treatment. Future studies should also examine the link between familial breast cancer and genetic mutations.

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Year:  2002        PMID: 12186379     DOI: 10.1023/a:1016178415129

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  14 in total

1.  An exploration of urban and rural differences in lung cancer survival among medicare beneficiaries.

Authors:  Lisa R Shugarman; Melony E S Sorbero; Haijun Tian; Arvind K Jain; J Scott Ashwood
Journal:  Am J Public Health       Date:  2007-10-30       Impact factor: 9.308

2.  Can America's urban safety net systems be a solution to unequal treatment?

Authors:  Sheri L Eisert; Philip S Mehler; Patricia A Gabow
Journal:  J Urban Health       Date:  2008-06-14       Impact factor: 3.671

3.  Performance of first mammography examination in women younger than 40 years.

Authors:  Bonnie C Yankaskas; Sebastien Haneuse; Julie M Kapp; Karla Kerlikowske; Berta Geller; Diana S M Buist
Journal:  J Natl Cancer Inst       Date:  2010-05-03       Impact factor: 13.506

4.  Treg depletion potentiates checkpoint inhibition in claudin-low breast cancer.

Authors:  Nicholas A Taylor; Sarah C Vick; Michael D Iglesia; W June Brickey; Bentley R Midkiff; Karen P McKinnon; Shannon Reisdorf; Carey K Anders; Lisa A Carey; Joel S Parker; Charles M Perou; Benjamin G Vincent; Jonathan S Serody
Journal:  J Clin Invest       Date:  2017-08-21       Impact factor: 14.808

5.  A community-based approach to translational research addressing breast cancer disparities.

Authors:  Karen Hye-Cheon Kim Yeary; Mondi Mason; Jerome Turner; Thomas Kieber-Emmons; Marie Chow; R Jean Hine; Ronda Henry-Tillman; Paul Greene
Journal:  Transl Behav Med       Date:  2011-06       Impact factor: 3.046

6.  Model-based analyses to compare health and economic outcomes of cancer control: inclusion of disparities.

Authors:  Sue J Goldie; Norman Daniels
Journal:  J Natl Cancer Inst       Date:  2011-09-06       Impact factor: 13.506

7.  Evaluation of treatment response for breast cancer: are we entering the era of "biological complete remission"?

Authors:  Li Bian; Tao Wang; Yi Liu; Hui-Qiang Zhang; Jin-Jie Song; Shao-Hua Zhang; Shi-Kai Wu; San-Tai Song; Ze-Fei Jiang
Journal:  Chin J Cancer Res       Date:  2012-12       Impact factor: 5.087

8.  Applying the Stress and 'Strength' Hypothesis to Black women's breast cancer screening delays.

Authors:  Angela Rose Black; Cheryl Woods-Giscombé
Journal:  Stress Health       Date:  2012-12       Impact factor: 3.519

9.  Racial and ethnic differences in breast cancer survival: how much is explained by screening, tumor severity, biology, treatment, comorbidities, and demographics?

Authors:  Elana Curtis; Chris Quale; David Haggstrom; Rebecca Smith-Bindman
Journal:  Cancer       Date:  2008-01-01       Impact factor: 6.860

10.  Analysis of prognostic factors and treatment modality changes in breast cancer: a single institution study in Korea.

Authors:  Won-Suk Lee; Jeong Eon Lee; Jung Han Kim; Seok Jin Nam; Jung-Hyun Yang
Journal:  Yonsei Med J       Date:  2007-06-30       Impact factor: 2.759

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