Differences in Breast Cancer Stage at Diagnosis by Ethnicity, Insurance Status, and Family Income in Young Women in the USA
- PMID: 31102102
- DOI: 10.1007/s40615-019-00591-y
Differences in Breast Cancer Stage at Diagnosis by Ethnicity, Insurance Status, and Family Income in Young Women in the USA
Abstract
Purpose: Describe the clinical and epidemiological data from young women with breast cancer and determine the association between ethnicity, insurance status, family income, and breast cancer stage at the diagnosis in this population.
Methods: Women under the age of 40 diagnosed with invasive breast cancer from 2010 to 2014 and identified in the Surveillance, Epidemiology, and End Results (SEER) 18 registries database were included. Binary logistic regression was applied in order to estimate the odds ratios (ORs) for factors that were potentially predictive for receiving a breast cancer diagnosis at stage I.
Results: Of 14,379 young women with invasive breast cancer, 70.9% of the patients were white, 15.9% black, and 13.2% classified as other ethnicity (American Indian, Asian, Pacific Islander). The initial clinical stage at diagnosis was stage I in 28.2%, II in 45.2%, III in 19.0%, and IV in 7.6%. The chi-square test showed a significant association between clinical stage at diagnosis and family income (p < 0.0001), insurance status (p < 0.0001), and ethnicity (p < 0.0001). The ORs for being diagnosed at stage I, regarding different factors, revealed that women with family income higher than US$ 85,000 were more likely to be diagnosed with stage I (OR [95%CI], 1.306 [1.173-1.454]; p value < 0.0001) when compared with patients with family income of less than US$ 60,000. Black women were less likely to be diagnosed with stage I (OR [95%CI], 0.676 [0.605-0.755]; p value < 0.0001), when compared with white women. Uninsured women were less likely to be diagnosed with stage I (OR [95%CI], 0.586 [0.529-0.648]; p value < 0.0001) when compared with women with insurance coverage.
Conclusion: Among young US women diagnosed with invasive breast cancer, most of them presented early stage disease. Women with black ethnicity, low income, and uninsured are at risk for late-stage presentation. Improvements in strategies to allow earlier breast cancer diagnosis in these at risk population are urged.
Keywords: Breast cancer staging; Ethnic disparities; Socioeconomic disparities.
Similar articles
-
Association of Insurance Status and Racial Disparities With the Detection of Early-Stage Breast Cancer.JAMA Oncol. 2020 Mar 1;6(3):385-392. doi: 10.1001/jamaoncol.2019.5672. JAMA Oncol. 2020. PMID: 31917398 Free PMC article.
-
Association of insurance status and ethnicity with cancer stage at diagnosis for 12 cancer sites: a retrospective analysis.Lancet Oncol. 2008 Mar;9(3):222-31. doi: 10.1016/S1470-2045(08)70032-9. Epub 2008 Feb 20. Lancet Oncol. 2008. PMID: 18282806
-
The socioeconomic gradient in all-cause mortality for women with breast cancer: findings from the 1998 to 2006 National Cancer Data Base with follow-up through 2011.Ann Epidemiol. 2015 Aug;25(8):549-55. doi: 10.1016/j.annepidem.2015.02.006. Epub 2015 Feb 19. Ann Epidemiol. 2015. PMID: 25795226
-
Young Breast Cancer Survivors: Employment Experience and Financial Well-Being [Internet].Research Triangle Park (NC): RTI Press; 2020 Jul. Research Triangle Park (NC): RTI Press; 2020 Jul. PMID: 33332074 Free Books & Documents. Review.
-
Incorporating indicators of socioeconomic status or ethnicity in cancer registries.In: Vaccarella S, Lortet-Tieulent J, Saracci R, Conway DI, Straif K, Wild CP, editors. Reducing social inequalities in cancer: evidence and priorities for research. Lyon (FR): International Agency for Research on Cancer; 2019. Focus 2. In: Vaccarella S, Lortet-Tieulent J, Saracci R, Conway DI, Straif K, Wild CP, editors. Reducing social inequalities in cancer: evidence and priorities for research. Lyon (FR): International Agency for Research on Cancer; 2019. Focus 2. PMID: 33534480 Free Books & Documents. Review. No abstract available.
Cited by
-
DNAJB4 identified as a potential breast cancer marker: evidence from bioinformatics analysis and basic experiments.Gland Surg. 2020 Dec;9(6):1955-1972. doi: 10.21037/gs-20-431. Gland Surg. 2020. PMID: 33447546 Free PMC article.
-
Advanced-stage breast cancer diagnosis and its determinants in Ethiopia: a systematic review and meta-analysis.BMC Womens Health. 2024 May 11;24(1):284. doi: 10.1186/s12905-024-03133-9. BMC Womens Health. 2024. PMID: 38734607 Free PMC article.
-
COL11A1 serves as a biomarker for poor prognosis and correlates with immune infiltration in breast cancer.Front Genet. 2022 Sep 9;13:935860. doi: 10.3389/fgene.2022.935860. eCollection 2022. Front Genet. 2022. PMID: 36160004 Free PMC article.
-
Sociodemographic and Clinical-pathological Study of Molecular Subtitles of Breast Carcinoma in a Reference Unit of Maranhão.Rev Bras Ginecol Obstet. 2020 Dec;42(12):820-828. doi: 10.1055/s-0040-1719147. Epub 2020 Dec 21. Rev Bras Ginecol Obstet. 2020. PMID: 33348399 Free PMC article.
-
Breast cancer in young black women.Br J Surg. 2020 May;107(6):677-686. doi: 10.1002/bjs.11401. Epub 2020 Jan 24. Br J Surg. 2020. PMID: 31981221 Free PMC article.
References
MeSH terms
LinkOut - more resources
Medical