Literature DB >> 23417335

Variation in tumor natural history contributes to racial disparities in breast cancer stage at diagnosis.

Nataliya G Batina1, Amy Trentham-Dietz, Ronald E Gangnon, Brian L Sprague, Marjorie A Rosenberg, Natasha K Stout, Dennis G Fryback, Oguzhan Alagoz.   

Abstract

Black women tend to be diagnosed with breast cancer at a more advanced stage than whites and subsequently experience elevated breast cancer mortality. We sought to determine whether there are racial differences in tumor natural history that contribute to these disparities. We used the University of Wisconsin Breast Cancer Simulation Model, a validated member of the National Cancer Institute's Cancer Intervention and Surveillance Modeling Network, to evaluate the contribution of racial differences in tumor natural history to observed disparities in breast cancer incidence. We fit eight natural history parameters in race-specific models by calibrating to the observed race- and stage-specific 1975-2000 U.S. incidence rates, while accounting for known racial variation in population structure, underlying risk of breast cancer, screening mammography utilization, and mortality from other causes. The best fit models indicated that a number of natural history parameters must vary between blacks and whites to reproduce the observed stage-specific incidence patterns. The mean of the tumor growth rate parameter was 63.6 % higher for blacks than whites (0.18, SE 0.04 vs. 0.11, SE 0.02). The fraction of tumors considered highly aggressive based on their tendency to metastasize at a small size was 2.2 times greater among blacks than whites (0.41, SE 0.009 vs. 0.019, SE 0.008). Based on our simulation model, breast tumors in blacks grow faster and are more likely to metastasize earlier than tumors in whites. These differences suggest that targeted prevention and detection strategies that go beyond equalizing access to mammography may be needed to eliminate breast cancer disparities.

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Year:  2013        PMID: 23417335      PMCID: PMC3610865          DOI: 10.1007/s10549-013-2435-z

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


  55 in total

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Review 2.  Additional common inputs for analyzing impact of adjuvant therapy and mammography on U.S. mortality.

Authors:  Kathleen A Cronin; Angela B Mariotto; Lauren D Clarke; Eric J Feuer
Journal:  J Natl Cancer Inst Monogr       Date:  2006

3.  Changing patterns in breast cancer incidence trends.

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Journal:  J Natl Cancer Inst Monogr       Date:  2006

4.  Trends in breast cancer by race and ethnicity: update 2006.

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Journal:  CA Cancer J Clin       Date:  2006 May-Jun       Impact factor: 508.702

5.  Dissemination of adjuvant multiagent chemotherapy and tamoxifen for breast cancer in the United States using estrogen receptor information: 1975-1999.

Authors:  Angela B Mariotto; Eric J Feuer; Linda C Harlan; Jeffrey Abrams
Journal:  J Natl Cancer Inst Monogr       Date:  2006

6.  The Wisconsin Breast Cancer Epidemiology Simulation Model.

Authors:  Dennis G Fryback; Natasha K Stout; Marjorie A Rosenberg; Amy Trentham-Dietz; Vipat Kuruchittham; Patrick L Remington
Journal:  J Natl Cancer Inst Monogr       Date:  2006

Review 7.  Breast cancer in African-American women: differences in tumor biology from European-American women.

Authors:  Kandace Amend; David Hicks; Christine B Ambrosone
Journal:  Cancer Res       Date:  2006-09-01       Impact factor: 12.701

8.  Delays in breast cancer diagnosis and treatment by racial/ethnic group.

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9.  Effect of patient socioeconomic status and body mass index on the quality of breast cancer adjuvant chemotherapy.

Authors:  Jennifer J Griggs; Eva Culakova; Melony E S Sorbero; Michelle van Ryn; Marek S Poniewierski; Debra A Wolff; Jeffrey Crawford; David C Dale; Gary H Lyman
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10.  Differences in breast carcinoma characteristics in newly diagnosed African-American and Caucasian patients: a single-institution compilation compared with the National Cancer Institute's Surveillance, Epidemiology, and End Results database.

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  13 in total

1.  Comparative effectiveness of incorporating a hypothetical DCIS prognostic marker into breast cancer screening.

Authors:  Amy Trentham-Dietz; Mehmet Ali Ergun; Oguzhan Alagoz; Natasha K Stout; Ronald E Gangnon; John M Hampton; Kim Dittus; Ted A James; Pamela M Vacek; Sally D Herschorn; Elizabeth S Burnside; Anna N A Tosteson; Donald L Weaver; Brian L Sprague
Journal:  Breast Cancer Res Treat       Date:  2017-11-28       Impact factor: 4.872

2.  Using Active Learning for Speeding up Calibration in Simulation Models.

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3.  Breast cancer screening, area deprivation, and later-stage breast cancer in Appalachia: does geography matter?

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Journal:  Health Serv Res       Date:  2013-09-30       Impact factor: 3.402

Review 4.  Protective Innate Immune Variants in Racial/Ethnic Disparities of Breast and Prostate Cancer.

Authors:  LaCreis R Kidd; K Sean Kimbro; Susan T Yeyeodu
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5.  Comparison of the Genomic Landscape Between Primary Breast Cancer in African American Versus White Women and the Association of Racial Differences With Tumor Recurrence.

Authors:  Tanya Keenan; Beverly Moy; Edmund A Mroz; Kenneth Ross; Andrzej Niemierko; James W Rocco; Steven Isakoff; Leif W Ellisen; Aditya Bardia
Journal:  J Clin Oncol       Date:  2015-09-14       Impact factor: 44.544

6.  Mammography decision making: Trends and predictors of provider communication in the Health Information National Trends Survey, 2011 to 2014.

Authors:  Laura M Spring; Megan R Marshall; Erica T Warner
Journal:  Cancer       Date:  2016-10-11       Impact factor: 6.860

7.  Racial differences in breast cancer, cardiovascular disease, and all-cause mortality among women with ductal carcinoma in situ of the breast.

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8.  The University of Wisconsin Breast Cancer Epidemiology Simulation Model: An Update.

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9.  Effect of Time to Diagnostic Testing for Breast, Cervical, and Colorectal Cancer Screening Abnormalities on Screening Efficacy: A Modeling Study.

Authors:  Carolyn M Rutter; Jane J Kim; Reinier G S Meester; Brian L Sprague; Emily A Burger; Ann G Zauber; Mehmet Ali Ergun; Nicole G Campos; Chyke A Doubeni; Amy Trentham-Dietz; Stephen Sy; Oguzhan Alagoz; Natasha Stout; Iris Lansdorp-Vogelaar; Douglas A Corley; Anna N A Tosteson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-11-17       Impact factor: 4.254

10.  Cancer Models and Real-world Data: Better Together.

Authors:  Jane J Kim; Anna Na Tosteson; Ann G Zauber; Brian L Sprague; Natasha K Stout; Oguzhan Alagoz; Amy Trentham-Dietz; Katrina Armstrong; Sandi L Pruitt; Carolyn M Rutter
Journal:  J Natl Cancer Inst       Date:  2015-11-03       Impact factor: 13.506

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