Skip to main content
Top
Published in: Breast Cancer Research and Treatment 2/2013

01-01-2013 | Epidemiology

Mind the gap: racial differences in breast cancer incidence and biologic phenotype, but not stage, among low-income women participating in a government-funded screening program

Authors: Joan E. Cunningham, Christine A. Walters, Elizabeth G. Hill, Marvella E. Ford, Tiffany Barker-Elamin, Charles L. Bennett

Published in: Breast Cancer Research and Treatment | Issue 2/2013

Login to get access

Abstract

Breast cancer mortality rates in South Carolina (SC) are 40 % higher among African-American (AA) than European-American (EA) women. Proposed reasons include race-associated variations in care and/or tumor characteristics, which may be subject to income effects. We evaluated race-associated differences in tumor biologic phenotype and stage among low-income participants in a government-funded screening program. Best Chance Network (BCN) data were linked with the SC Central Cancer Registry. Characteristics of breast cancers diagnosed in BCN participants aged 47–64 years during 1996–2006 were abstracted. Race-specific case proportions and incidence rates based on estrogen receptor (ER) status and histologic grade were estimated. Among 33,880 low-income women accessing BCN services, repeat breast cancer screening utilization was poor, especially among EAs. Proportionally, stage at diagnosis did not differ by race (607 cancers, 53 % among AAs), with about 40 % advanced stage. Compared to EAs, invasive tumors in AAs were 67 % more likely (proportions) to be of poor-prognosis phenotype (both ER-negative and high-grade); this was more a result of the 46 % lesser AA incidence (rates) of better-prognosis (ER+ lower-grade) cancer than the 32 % greater incidence of poor-prognosis disease (p values <0.01). When compared to the general SC population, racial disparities in poor-prognostic features within the BCN population were attenuated; this was due to more frequent adverse tumor features in EAs rather than improvements for AAs. Among low-income women in SC, closing the breast cancer racial and income mortality gaps will require improved early diagnosis, addressing causes of racial differences in tumor biology, and improved care for cancers of poor-prognosis biology.
Literature
2.
go back to reference American Cancer Society (2011) Breast cancer facts & figures 2011–2012. American Cancer Society, Inc., Atlanta American Cancer Society (2011) Breast cancer facts & figures 2011–2012. American Cancer Society, Inc., Atlanta
3.
go back to reference Cunningham JE, Butler WM (2004) Racial disparities in female breast cancer in South Carolina: clinical evidence for a biological basis even in small tumors. Breast Cancer Res Treat 88:161–176PubMedCrossRef Cunningham JE, Butler WM (2004) Racial disparities in female breast cancer in South Carolina: clinical evidence for a biological basis even in small tumors. Breast Cancer Res Treat 88:161–176PubMedCrossRef
4.
go back to reference Cunningham JE, Montero AJ, Garrett-Mayer E, Berkel HJ, Ely B (2010) Racial differences in the incidence of breast cancer subtypes defined by combined histologic grade and hormone receptor status. Cancer Causes Control 21(3):399–409PubMedCrossRef Cunningham JE, Montero AJ, Garrett-Mayer E, Berkel HJ, Ely B (2010) Racial differences in the incidence of breast cancer subtypes defined by combined histologic grade and hormone receptor status. Cancer Causes Control 21(3):399–409PubMedCrossRef
5.
go back to reference Adams SA, Hebert JR, Bolick-Aldrich S, Daguise VG, Mosley CM, Modayil MV, Berger SH, Teas J, Mitas M, Cunningham JE, Steck SE, Burch J, Butler WM, Horner M-JD, Brandt HM (2006) Breast cancer disparities in South Carolina: early detection, special programs and descriptive epidemiology. J S C Med Assoc 102(7):231–239PubMed Adams SA, Hebert JR, Bolick-Aldrich S, Daguise VG, Mosley CM, Modayil MV, Berger SH, Teas J, Mitas M, Cunningham JE, Steck SE, Burch J, Butler WM, Horner M-JD, Brandt HM (2006) Breast cancer disparities in South Carolina: early detection, special programs and descriptive epidemiology. J S C Med Assoc 102(7):231–239PubMed
6.
go back to reference Carey LA, Perou CM, Livasy CA et al (2006) Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study. J Am Med Assoc 295:2492–2502CrossRef Carey LA, Perou CM, Livasy CA et al (2006) Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study. J Am Med Assoc 295:2492–2502CrossRef
7.
go back to reference Anderson WF, Reiner AS, Matsuno RK et al (2007) Shifting breast cancer trends in the United States. J Clin Oncol 25:3923–3929PubMedCrossRef Anderson WF, Reiner AS, Matsuno RK et al (2007) Shifting breast cancer trends in the United States. J Clin Oncol 25:3923–3929PubMedCrossRef
8.
go back to reference Ursin G, Bernstein L, Wang Y et al (2004) Reproductive factors and risk of breast carcinoma in a study of white and African-American women. Cancer 101:353–362PubMedCrossRef Ursin G, Bernstein L, Wang Y et al (2004) Reproductive factors and risk of breast carcinoma in a study of white and African-American women. Cancer 101:353–362PubMedCrossRef
9.
go back to reference Althuis MD, Fergenbaum JH, Garcia-Closas M et al (2004) Etiology of hormone receptor-defined breast cancer: a systematic review of the literature. Cancer Epidemiol Biomarks Prev 13:1558–1568 Althuis MD, Fergenbaum JH, Garcia-Closas M et al (2004) Etiology of hormone receptor-defined breast cancer: a systematic review of the literature. Cancer Epidemiol Biomarks Prev 13:1558–1568
10.
go back to reference Ma H, Bernstein L, Pike MC et al (2006) Reproductive factors and breast cancer risk according to joint estrogen and progesterone receptor status: a meta-analysis of epidemiological studies. Breast Cancer Res 8:R43. doi:10.1186/bcr1525 PubMedCrossRef Ma H, Bernstein L, Pike MC et al (2006) Reproductive factors and breast cancer risk according to joint estrogen and progesterone receptor status: a meta-analysis of epidemiological studies. Breast Cancer Res 8:R43. doi:10.​1186/​bcr1525 PubMedCrossRef
11.
go back to reference Garcia-Closas M, Hall P, Nevanlinna H et al (2008) Heterogeneity of breast cancer associations with five susceptibility loci by clinical and pathological characteristics. PLoS Genet 4(4):e1000054PubMedCrossRef Garcia-Closas M, Hall P, Nevanlinna H et al (2008) Heterogeneity of breast cancer associations with five susceptibility loci by clinical and pathological characteristics. PLoS Genet 4(4):e1000054PubMedCrossRef
12.
go back to reference Maiti B, Kundranda MN, Spiro TP et al (2010) The association of metabolic syndrome with triple-negative breast cancer. Breast Cancer Res Treat 121:479–483PubMedCrossRef Maiti B, Kundranda MN, Spiro TP et al (2010) The association of metabolic syndrome with triple-negative breast cancer. Breast Cancer Res Treat 121:479–483PubMedCrossRef
13.
go back to reference Singh SK, Tan QW, Brito C et al (2010) Insulin-like growth factors I and II receptors in the breast cancer survival disparity among African-American women. Growth Horm IGF Res 20:245–254CrossRef Singh SK, Tan QW, Brito C et al (2010) Insulin-like growth factors I and II receptors in the breast cancer survival disparity among African-American women. Growth Horm IGF Res 20:245–254CrossRef
14.
go back to reference Yang X, Chang-Claude J, Goode EL et al (2011) Associations of breast cancer risk factors with tumor subtypes: a pooled analysis from the Breast Cancer Association Consortium studies. J Natl Cancer Inst 103:250–263PubMedCrossRef Yang X, Chang-Claude J, Goode EL et al (2011) Associations of breast cancer risk factors with tumor subtypes: a pooled analysis from the Breast Cancer Association Consortium studies. J Natl Cancer Inst 103:250–263PubMedCrossRef
15.
go back to reference Harper S, Lynch J, Meersman SC et al (2009) Trends in area-socioeconomic and race-ethnic disparities in breast cancer incidence, stage at diagnosis, screening, mortality, and survival among women ages 50 years and over (1987–2005). Cancer Epidemiol Biomarks Prev 18:121–131CrossRef Harper S, Lynch J, Meersman SC et al (2009) Trends in area-socioeconomic and race-ethnic disparities in breast cancer incidence, stage at diagnosis, screening, mortality, and survival among women ages 50 years and over (1987–2005). Cancer Epidemiol Biomarks Prev 18:121–131CrossRef
16.
go back to reference Krieger N, Chen JT, Ware JH et al (2008) Race/ethnicity and breast cancer estrogen receptor status: impact of class, missing data, and modeling assumptions. Cancer Causes Control 19:1305–1318PubMedCrossRef Krieger N, Chen JT, Ware JH et al (2008) Race/ethnicity and breast cancer estrogen receptor status: impact of class, missing data, and modeling assumptions. Cancer Causes Control 19:1305–1318PubMedCrossRef
17.
go back to reference Campbell RT, Li X, Dolecek TA, Barrett RE, Weaver KE, Warnecke RB (2009) Economic, racial and ethnic disparities in breast cancer in the US: towards a more comprehensive model. Health Place 15:855–864PubMedCrossRef Campbell RT, Li X, Dolecek TA, Barrett RE, Weaver KE, Warnecke RB (2009) Economic, racial and ethnic disparities in breast cancer in the US: towards a more comprehensive model. Health Place 15:855–864PubMedCrossRef
18.
go back to reference Clegg LX, Reichman ME, Miller BA et al (2009) Impact of socioeconomic status on cancer incidence and stage at diagnosis: selected findings from the surveillance, epidemiology, and end results: National Longitudinal Mortality Study. Cancer Causes Control 20:417–435PubMedCrossRef Clegg LX, Reichman ME, Miller BA et al (2009) Impact of socioeconomic status on cancer incidence and stage at diagnosis: selected findings from the surveillance, epidemiology, and end results: National Longitudinal Mortality Study. Cancer Causes Control 20:417–435PubMedCrossRef
20.
go back to reference Smith ER, Adams SA, Prabhu Das I, Bottai M, Fulton J, Hebert JR (2008) Breast cancer survival among economically disadvantaged women: the influences of delayed diagnosis and treatment on mortality. Cancer Epidemiol Biomarkers Prev 17:2882–2890PubMedCrossRef Smith ER, Adams SA, Prabhu Das I, Bottai M, Fulton J, Hebert JR (2008) Breast cancer survival among economically disadvantaged women: the influences of delayed diagnosis and treatment on mortality. Cancer Epidemiol Biomarkers Prev 17:2882–2890PubMedCrossRef
21.
go back to reference Gorin SS, Heck JE, Cheng B, Smith SJ (2006) Delays in breast cancer diagnosis and treatment by racial/ethnic group. Arch Intern Med 166:2244–2252PubMedCrossRef Gorin SS, Heck JE, Cheng B, Smith SJ (2006) Delays in breast cancer diagnosis and treatment by racial/ethnic group. Arch Intern Med 166:2244–2252PubMedCrossRef
24.
go back to reference van Buuren S, Brand JPL, Groothuis-Oudshoorn CGM, Rubin DB (2006) Fully conditional specification in multivariate imputation. J Stat Comput Simul 76:1049–1064CrossRef van Buuren S, Brand JPL, Groothuis-Oudshoorn CGM, Rubin DB (2006) Fully conditional specification in multivariate imputation. J Stat Comput Simul 76:1049–1064CrossRef
25.
go back to reference van Buuren S (2007) Multiple imputation of discrete and continuous data by fully conditional specification. Stat Methods Med Res 16:219–242PubMedCrossRef van Buuren S (2007) Multiple imputation of discrete and continuous data by fully conditional specification. Stat Methods Med Res 16:219–242PubMedCrossRef
26.
go back to reference Rubin DB (1987) Multiple imputation for non-response in surveys. Wiley, New YorkCrossRef Rubin DB (1987) Multiple imputation for non-response in surveys. Wiley, New YorkCrossRef
27.
go back to reference Schafer JL (1997) Analysis of incomplete multivariate data. Chapman & Hall, LondonCrossRef Schafer JL (1997) Analysis of incomplete multivariate data. Chapman & Hall, LondonCrossRef
31.
go back to reference Boyle P, Parkin DM (1991) Statistical methods for registries. In: Jensen OM, Parkin DM, MacLennan R et al (eds) Cancer registration: principles and methods. Scientific publication No. 95. International Agency for Research on Cancer, Lyon, pp 128–158 Boyle P, Parkin DM (1991) Statistical methods for registries. In: Jensen OM, Parkin DM, MacLennan R et al (eds) Cancer registration: principles and methods. Scientific publication No. 95. International Agency for Research on Cancer, Lyon, pp 128–158
32.
go back to reference van Buuren S, Groothuis-Oudshoorn K (2011) Mice: multivariate imputation by chained equations in R. J Stat Softw 45(3):1–67 van Buuren S, Groothuis-Oudshoorn K (2011) Mice: multivariate imputation by chained equations in R. J Stat Softw 45(3):1–67
33.
go back to reference R Development Core Team (2011) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, http://www.R-project.org/. Accessed 04 May 2012 R Development Core Team (2011) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, http://​www.​R-project.​org/​. Accessed 04 May 2012
34.
go back to reference Lobb R, Ayanian JZ, Allen JD, Emmons KM (2010) Stage of breast cancer at diagnosis among low-income women with access to mammography. Cancer 116(23):5487–5496PubMedCrossRef Lobb R, Ayanian JZ, Allen JD, Emmons KM (2010) Stage of breast cancer at diagnosis among low-income women with access to mammography. Cancer 116(23):5487–5496PubMedCrossRef
36.
go back to reference Lawson HW, Henson R, Bob JK, Kaeser MK (2000) Implementing recommendations for the early detection of breast and cervical cancer among low-income women. MMWR Recomm Rep 49(RR-2):37–55PubMed Lawson HW, Henson R, Bob JK, Kaeser MK (2000) Implementing recommendations for the early detection of breast and cervical cancer among low-income women. MMWR Recomm Rep 49(RR-2):37–55PubMed
37.
go back to reference Taplin SH, Ichikawa L, Yood MU et al (2004) Reason for late-stage breast cancer: absence of screening or detection, or breakdown in follow-up? J Natl Cancer Inst 96:1518–1527PubMedCrossRef Taplin SH, Ichikawa L, Yood MU et al (2004) Reason for late-stage breast cancer: absence of screening or detection, or breakdown in follow-up? J Natl Cancer Inst 96:1518–1527PubMedCrossRef
38.
go back to reference American Cancer Society (2009) Breast cancer facts & figures 2009–2010. American Cancer Society, Inc., Atlanta American Cancer Society (2009) Breast cancer facts & figures 2009–2010. American Cancer Society, Inc., Atlanta
39.
go back to reference Ward EM, Fedewa SA, Cokkinides V et al (2010) The association of insurance and stage at diagnosis among patients aged 55 to 74 in the national cancer database. Cancer J 16:614–621PubMedCrossRef Ward EM, Fedewa SA, Cokkinides V et al (2010) The association of insurance and stage at diagnosis among patients aged 55 to 74 in the national cancer database. Cancer J 16:614–621PubMedCrossRef
40.
go back to reference Smith-Bindman R, Miglioretti DL, Lurie N et al (2006) Does utilization of screening mammography explain racial and ethnic differences in breast cancer? Ann Intern Med 144:541–553PubMed Smith-Bindman R, Miglioretti DL, Lurie N et al (2006) Does utilization of screening mammography explain racial and ethnic differences in breast cancer? Ann Intern Med 144:541–553PubMed
41.
go back to reference Hahn KM, Bondy ML, Selvan M et al (2007) Factors associated with advanced disease stage at diagnosis in a population-based study of patients with newly diagnosed breast cancer. Am J Epidemiol 166:1035–1044PubMedCrossRef Hahn KM, Bondy ML, Selvan M et al (2007) Factors associated with advanced disease stage at diagnosis in a population-based study of patients with newly diagnosed breast cancer. Am J Epidemiol 166:1035–1044PubMedCrossRef
42.
go back to reference Sassi F, Luft HS, Guadagnoli E (2006) Reducing racial/ethnic disparities in female breast cancer: screening rates and stage at diagnosis. Am J Public Health 96:2165–2172PubMedCrossRef Sassi F, Luft HS, Guadagnoli E (2006) Reducing racial/ethnic disparities in female breast cancer: screening rates and stage at diagnosis. Am J Public Health 96:2165–2172PubMedCrossRef
43.
go back to reference Wang F et al (2008) Late stage breast cancer diagnosis and health care access in Illinois. Prof Geogr 60:54–69PubMedCrossRef Wang F et al (2008) Late stage breast cancer diagnosis and health care access in Illinois. Prof Geogr 60:54–69PubMedCrossRef
44.
go back to reference Dai D (2010) Black residential segregation, disparities in spatial access to health care facilities, and late-stage breast cancer diagnosis in metropolitan Detroit. Health Place 16:1038–1052PubMedCrossRef Dai D (2010) Black residential segregation, disparities in spatial access to health care facilities, and late-stage breast cancer diagnosis in metropolitan Detroit. Health Place 16:1038–1052PubMedCrossRef
45.
go back to reference Dunn BK, Agurs-Collins T, Browne D et al (2010) Health disparities in breast cancer: biology meets socioeconomic status. Breast Cancer Res Treat 121:281–292PubMedCrossRef Dunn BK, Agurs-Collins T, Browne D et al (2010) Health disparities in breast cancer: biology meets socioeconomic status. Breast Cancer Res Treat 121:281–292PubMedCrossRef
46.
go back to reference Phipps AI, Chlebowski RT, Prentice R et al (2011) Body size, physical activity, and risk of triple-negative and estrogen receptor-positive breast cancer. Cancer Epidemiol Biomarks Prev 20(3):454–463CrossRef Phipps AI, Chlebowski RT, Prentice R et al (2011) Body size, physical activity, and risk of triple-negative and estrogen receptor-positive breast cancer. Cancer Epidemiol Biomarks Prev 20(3):454–463CrossRef
47.
go back to reference Schular LA, Auger AP (2010) Psychosocially influenced cancer: diverse early-life stress experiences and links to breast cancer. Cancer Prev Res 3:1365–1370CrossRef Schular LA, Auger AP (2010) Psychosocially influenced cancer: diverse early-life stress experiences and links to breast cancer. Cancer Prev Res 3:1365–1370CrossRef
48.
go back to reference Butow PN, Hiller JE, Price MA et al (2000) Epidemiological evidence for a relationship between life events, coping style, and personality factors in the development of breast cancer. J Psychosom Res 49:169–181PubMedCrossRef Butow PN, Hiller JE, Price MA et al (2000) Epidemiological evidence for a relationship between life events, coping style, and personality factors in the development of breast cancer. J Psychosom Res 49:169–181PubMedCrossRef
49.
go back to reference Michael YL, Carlson NE, Chlebowski RT et al (2009) Influence of stressors on breast cancer incidence in the Women’s Health Initiative. Health Psychol 28:137–146PubMedCrossRef Michael YL, Carlson NE, Chlebowski RT et al (2009) Influence of stressors on breast cancer incidence in the Women’s Health Initiative. Health Psychol 28:137–146PubMedCrossRef
51.
go back to reference Barry J, Breen N, Barrett M (2012) Significance of increasing poverty levels for determining late-stage breast cancer diagnosis in 1990 and 2000. J Urban Health 89(4):614–627PubMedCrossRef Barry J, Breen N, Barrett M (2012) Significance of increasing poverty levels for determining late-stage breast cancer diagnosis in 1990 and 2000. J Urban Health 89(4):614–627PubMedCrossRef
52.
go back to reference Adams SA, Smith ER, Hardin J et al (2009) Racial differences in follow-up of abnormal mammography findings among economically disadvantaged women. Cancer 115:5788–5797PubMedCrossRef Adams SA, Smith ER, Hardin J et al (2009) Racial differences in follow-up of abnormal mammography findings among economically disadvantaged women. Cancer 115:5788–5797PubMedCrossRef
Metadata
Title
Mind the gap: racial differences in breast cancer incidence and biologic phenotype, but not stage, among low-income women participating in a government-funded screening program
Authors
Joan E. Cunningham
Christine A. Walters
Elizabeth G. Hill
Marvella E. Ford
Tiffany Barker-Elamin
Charles L. Bennett
Publication date
01-01-2013
Publisher
Springer US
Published in
Breast Cancer Research and Treatment / Issue 2/2013
Print ISSN: 0167-6806
Electronic ISSN: 1573-7217
DOI
https://doi.org/10.1007/s10549-012-2305-0

Other articles of this Issue 2/2013

Breast Cancer Research and Treatment 2/2013 Go to the issue
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine