Genomics: Insight

The Effects of Social Determinants of Health on The Representation of Hispanic/Latina Women in Cancer Genomic Databases and Breast Cancer Outcomes

Amy RP
December 23, 2024


Hypothesis: This literature review aims to explain the impact of social determinants of health on breast cancer outcomes for Hispanic/Latina women, including their representation in genomic databases and participation in genetic testing for breast cancer research.

 

I. Introduction

The Hispanic/Latino community is the fastest-growing racial group in the United States and is predicted to grow 60% by 20501. For the purpose of this essay, we will use the term Hispanic/Latino for overlapping but distinct identities to refer to individuals from Spanish-speaking countries and countries in Latin America, regardless of language. In the US, 1 in 8 women will develop breast cancer in their lifetime, and incidence is increasing by 0.5% annually2. As in women from other racial groups, breast cancer is a leading cause of cancer death for Hispanic/Latina women3. Although Hispanic/Latina women tend to have a similar incidence of breast cancer compared to non-Hispanic white (NHW) women, they are more frequently diagnosed with later stages of cancer and have 1.4-fold higher mortality rates4. The manifestation of breast cancer is complex and results from the interplay of genetic and environmental factors. Social determinants of health, like lower socioeconomic status (SES), education level, neighborhood safety, access to healthcare, etc., together with underlying health conditions and family history and genetics3, play a significant role in breast cancer outcomes. Despite the prevalence and severity of breast cancer disease for the growing Hispanic/Latina women population, the genetic underpinnings of their breast cancer are understudied, especially in the areas of genomics and precision medicine5. This literature review aims to explain the impact of social determinants of health on breast cancer outcomes for Hispanic/Latina women, including their representation in genomic databases and participation in genetic testing for breast cancer research.

 

II. Social Determinants of Health (Hispanic women)

The greatest contributors to health disparities worldwide are social determinants of health (SDOH), defined as economic, environmental, political, and social conditions in which people live that dictate the access and quality of healthcare people receive6. Lower socioeconomic status plays a crucial role in health disparities and is associated with poorer breast cancer outcomes across all ethnicities7. African Americans and Hispanics/Latinos constitute a larger percentage of their population below the poverty line compared to other racial and ethnic groups 8. Approximately 16.7% of Hispanics/Latinos live beneath the poverty line compared to 9.5% of their white counterparts 8. Low-income populations have a higher prevalence of health conditions such as obesity, diabetes, hypertension, and cardiovascular disease related to lower consumption of healthy foods and higher sedentary behavior, amongst other factors 9.

Obesity increases the risk of breast cancer development through several mechanisms, including the excess amount of estrogen produced by adipose tissue, increased development of type 2 diabetes caused by higher levels of insulin resistance, and greater DNA damage as a result of inflammation-induced oxidative stress10,11. Hispanic/Latino adults in the US have a higher prevalence of obesity (47%) when compared to NHW (38%)6. A study revealed that the 5-year survival rate for obese women with breast cancer was 55.6% compared with 79.9% for women with normal weight9. Obese women had larger tumors with higher rates of lymphatic invasion and nodal involvement. This finding is likely the result of the negative effects of obesity in cancer genesis and behavior. Nevertheless, it is also important to mention that in some older studies obese women may have received relatively lower doses of chemotherapy which can contribute to poorer outcomes for these women9.

Compared to NHW women, Hispanic/Latina women have a higher prevalence of “triple-negative” breast cancer3,12. Triple-negative tumors behave aggressively and are more challenging to treat due to the lack of specific receptors to target. They grow faster and metastasize to other sites more often than receptor-positive tumors13 (tumors expressing estrogen, progesterone, or HER2 receptors)14. Social determinants of health and, more specifically, low socioeconomic status affect not only the incidence of breast cancer but also its severity. Banegas et al. have reported on the correlation between low socioeconomic status and breast cancer subtype as a surrogate of disease severity that determines cancer behavior and the likelihood of response to standard cancer therapies15,21. They found that Hispanic/Latina women from lower socioeconomic status (SES) have a 1.32-1.42 fold increased risk of triple-negative tumors when compared to Latinas from higher SES 15. This increased risk likely contributes to poorer outcomes associated with lower SES seen in Hispanic/Latina women with breast cancer.

Access to healthcare in the United States relies heavily on having healthcare insurance coverage. People of Hispanic/Latino descent are the least insured group in the United States16. The CDC reported that in 2023, 1 in 4 Hispanic adults (18-64) lacked health insurance17. Low rates of medical insurance result in decreased access to quality healthcare; as a consequence, Hispanic/ Latina women are less likely to undergo regular screening mammogram exams compared to women of other ethnicities, leading to an increase in late-stage diagnosis18. Women with breast cancer who lack health insurance are also at a higher risk of receiving suboptimal cancer care18. In one study, 23% of Hispanic/Latina women, compared with 16% of NHW women, did not receive adjuvant therapy as part of their breast cancer treatment plan19. These minority women were more likely to have a higher number of comorbidities due to lack of health insurance19. For Hispanic/Latina women, the lack of medical insurance coverage does not only affect their ability to receive cancer care but also negatively impacts access to genetic testing and enrollment in genetic databases20.

Social determinants of health and, more specifically, disadvantaged socioeconomic factors affect not only the incidence of breast cancer but also its severity.


III. Representation of Hispanic/Latina Women in Genomic Research

The Cancer Genome Atlas (TCGA) is a genomic database created by the National Cancer Institute21. The genomic data includes the genetic makeup of tissue from several cancer types, including breast cancer22. When the data from the TCGA database was analyzed, it was clear that Hispanic/Latina women were grossly underrepresented compared to the general population and that NHW women were overrepresented5. Currently, Hispanics/Latinos comprise 19.5% of the US population, while NHW makes up 58.4% 23. In the TCGA database, only 3% of breast cancer data was obtained from Hispanic/Latina women, and 75.7% of that data came from NHW women5,24. With the rapid growth of genomic technology and its applications to cancer research and treatment within the realm of precision medicine, it is vital to make sure that all ethnic groups are properly represented if they are to benefit from these technologies. Underrepresentation of Hispanic/Latinas in genetic databases will result in insufficient data for developing precision medicine therapies tailored to this demographic. A study found that while there are high levels of interest in genomic medicine across many racial groups, factors including the lack of familiarity with genomic screening, higher uninsured rates, lower socio-economic status, and mistrust in the healthcare system and institutions are all likely contributors to the continued underrepresentation of minority groups25. Reports on the impact of cultural and spiritual beliefs show that they can also be barriers for Hispanics/Latinas to access breast cancer screening and care, which results in treatment delays26. These factors may also explain the lower representation of Hispanic/Latina women in cancer databases resulting from decreased access to and participation in genetic testing.

 

IV. Cell and Molecular Foundations of Breast Cancer

Precision medicine is becoming an increasingly important component in cancer treatment27. Breast cancer presents in a variety of ways in different individuals and genomic composition determines the tumor type. While breast cancer is diagnosed based on clinical presentation and screening imaging studies, such as mammograms, the subtype of breast cancer can be identified through immunohistochemistry and genetic analysis27. Breast cancer subtypes present unique molecular features and are characterized by the presence of hormone receptors such as estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2)14. Tumors with higher expression of ER are typically subclassified as Luminal A or B, based on the presence or absence of HER2, which differentiates the two subtypes respectively12. ER-/PR- tumors can be subclassified as HER2+ or HER2-14. The latter is most commonly described as triple-negative, signifying the absence of all three hormonal receptor biomarkers14. As a result of the lack of all hormonal receptors, triple-negative tumors are more difficult to target and treat with standard therapies and, therefore, tend to have the worst prognosis21.

As stated earlier, the prevalence of triple-negative tumors in Hispanic/Latina women is higher than in other races and ethnicities3,12. In 2020, Philipovskiy and colleagues conducted a study identifying the most prevalent biomarker mutations in Hispanic/Latina women28. They found that four individual biomarkers in this group mutated at statistically significant higher rates than in NHW, African American, and Asian women28. Finding higher prevalence of specific biomarker mutations in different racial groups highlights the importance of including women of

all racial and ethnic groups in research and genomic databases. Ensuring proper representation can inform further research for precision treatments.

 

V. Conclusion

The Hispanic/Latino community is the fastest growing racial/ethnic group in the US1. Social determinants of health such as low SES and education level, lack of health insurance together with higher prevalence of obesity and greater number of comorbidities are important factors contributing to poor outcomes for Hispanic/Latina women with breast cancer. As discussed, approximately 16.7% of Hispanics/Latinos live beneath the poverty line 8 which is correlated with 1.32-1.42 fold risk of developing triple-negative tumors15. These tumors behave more aggressively and are difficult to target with standard therapies21. Hispanic/Latinos represent the largest segment of uninsured individuals in our country with 1 in 4 Hispanic adults (18-64) lacking health insurance 17, causing significant barriers to accessing and receiving care 16. Our review highlights the underrepresentation of Hispanic/Latina women in the TCGA genomic database which is largely explained by the factors mentioned above. We hope this review adds to the body of evidence of the healthcare disparities affecting Hispanic/Latina women living with breast cancer and encourages further development of strategies to increase their representation in genomic studies and to close disparity gaps in breast cancer care and accessibility. Initiatives like the National Human Genome Research Institute’s projects to enhance equity and inclusivity by addressing and mitigating specific barriers to diverse participation in genomic research will hopefully result in improved health outcomes for all29.

 

References

  1. Wessel, D. (n.d.). US 2050: Research summary. Peter G. Peterson Foundation. https://www.pgpf.org/us-2050/research-summary
  2. Admoun C, Mayrovitz HN. The Etiology of Breast Cancer. In: Mayrovitz HN, editor. Breast Cancer [Internet]. Brisbane (AU): Exon Publications; 2022 Aug 6. Chapter 2. doi: 10.36255/exon-publications-breast-cancer-etiology https://www.ncbi.nlm.nih.gov/books/NBK583809/
  3. Rey-Vargas L, Sanabria-Salas MC, Fejerman L, Serrano-Gómez SJ. Risk Factors for Triple-Negative Breast Cancer among Latina Women. Cancer Epidemiol Biomarkers Prev. 2019 Nov;28(11):1771-1783. doi: 10.1158/1055-9965.EPI-19-0035. Epub 2019 Aug 27. PMID: 31455670. https://pubmed.ncbi.nlm.nih.gov/31455670/
  4. Seanez CM, Nuño T, Gachupin FC, Harris RB. Mammography Compliance for Arizona and New Mexico Hispanic and American Indian Women 2016-2018. Int J Environ Res Public Health. 2023 Dec 22;21(1):19. doi: 10.3390/ijerph21010019. PMID: 38248484; PMCID: https://pmc.ncbi.nlm.nih.gov/articles/PMC5760276/
  5. Johnson JA, Moore BJ, Syrnioti G, Eden CM, Wright D, Newman LA. Landmark Series: The Cancer Genome Atlas and the Study of Breast Cancer Disparities. Ann Surg Oncol. 2023 Oct;30(11):6427-6440. doi: 10.1245/s10434-023-13866-w. Epub 2023 Aug 16. PMID: 37587359. https://pubmed.ncbi.nlm.nih.gov/37587359/
  6. Howell CR, Juarez L, Agne AA, Nassel AF, Scarinci IC, Ayala GX, Cherrington AL. Assessing Hispanic/Latino and Non-Hispanic White Social Determinants of Obesity Among a Community Sample of Residents in the Rural Southeast US. J Immigr Minor Health. 2022 Dec;24(6):1469-1479. doi: 10.1007/s10903-022-01334-8. Epub 2022 Feb 17. PMID: 35174428; PMCID: PMC9980419. https://pmc.ncbi.nlm.nih.gov/articles/PMC9980419/
  7. Hirko KA, Rocque G, Reasor E, Taye A, Daly A, Cutress RI, Copson ER, Lee DW, Lee KH, Im SA, Park YH. The impact of race and ethnicity in breast cancer-disparities and implications for precision oncology. BMC Med. 2022 Feb 11;20(1):72. doi: 10.1186/s12916-022-02260-0. PMID: 35151316; PMCID: PMC8841090. https://pmc.ncbi.nlm.nih.gov/articles/PMC8841090/
  8. Poverty Rate by Race/Ethnicity | KFF. (2024, October 25). KFF. https://www.kff.org/other/state-indicator/poverty-rate-by-raceethnicity/?currentTimeframe=0&sortModel=%7B%22colId%22:%22Location%22,%22sort%22:%22asc%22%7D
  9. Ligibel J. Obesity and breast cancer. Oncology (Williston Park). 2011 Oct;25(11):994-1000. PMID: 22106549. https://pubmed.ncbi.nlm.nih.gov/22106549/
  10. Gallagher EJ, LeRoith D. Obesity and Diabetes: The Increased Risk of Cancer and Cancer-Related Mortality. Physiol Rev. 2015 Jul;95(3):727-48. doi: 10.1152/physrev.00030.2014. PMID: 26084689; PMCID: PMC4491542. https://pubmed.ncbi.nlm.nih.gov/26084689/
  11. Roberts DL, Dive C, Renehan AG. Biological mechanisms linking obesity and cancer risk: new perspectives. Annu Rev Med. 2010;61:301-16. doi: 10.1146/annurev.med.080708.082713. PMID: 19824817. https://pubmed.ncbi.nlm.nih.gov/19824817/
  12. Serrano-Gómez SJ, Fejerman L, Zabaleta J. Breast Cancer in Latinas: A Focus on Intrinsic Subtypes Distribution. Cancer Epidemiol Biomarkers Prev. 2018 Jan;27(1):3-10. doi: 10.1158/1055-9965.EPI-17-0420. Epub 2017 Oct 20. PMID: 29054978; PMCID: PMC5760276. https://pmc.ncbi.nlm.nih.gov/articles/PMC5760276/
  13. Obidiro O, Battogtokh G, Akala EO. Triple Negative Breast Cancer Treatment Options and Limitations: Future Outlook. Pharmaceutics. 2023 Jun 23;15(7):1796. doi: 10.3390/pharmaceutics15071796. PMID: 37513983; PMCID: PMC10384267. https://pmc.ncbi.nlm.nih.gov/articles/PMC10384267/
  14. Banegas MP, Tao L, Altekruse S, Anderson WF, John EM, Clarke CA, Gomez SL. Heterogeneity of breast cancer subtypes and survival among Hispanic women with invasive breast cancer in California. Breast Cancer Res Treat. 2014 Apr;144(3):625-34. doi: 10.1007/s10549-014-2882-1. Epub 2014 Feb 28. PMID: 24658879; PMCID: PMC4045012. https://pmc.ncbi.nlm.nih.gov/articles/PMC4045012/
  15. Rivenbark AG, O'Connor SM, Coleman WB. Molecular and cellular heterogeneity in breast cancer: challenges for personalized medicine. Am J Pathol. 2013 Oct;183(4):1113-1124. doi: 10.1016/j.ajpath.2013.08.002. Epub 2013 Aug 27. PMID: 23993780; PMCID: PMC5691324. https://pubmed.ncbi.nlm.nih.gov/23993780/
  16. State and Local Estimates of the Uninsured Population in the U.S. Using the Census Bureau’s 2022 American Community Survey. (2023, November 27). ASPE. https://aspe.hhs.gov/reports/state-local-estimates-uninsured-population-2022
  17. U.S. uninsured rate hits record low in first quarter of 2023 | Blogs | CDC. (2023, July 27). https://blogs.cdc.gov/nchs/2023/08/03/7434/#:~:text=7%25%20or%2025.3%20million%20Americans,the%20same%20period%20in%202022
  18. Torres P, Guitelman J, Lucio A, Rini C, Molina Y. Medical Advocacy among Latina Women Diagnosed with Breast Cancer. Int J Environ Res Public Health. 2024 Apr 18;21(4):495. doi: 10.3390/ijerph21040495. PMID: 38673406; PMCID: PMC11049890. https://pmc.ncbi.nlm.nih.gov/articles/PMC11049890/
  19. Bickell NA, Wang JJ, Oluwole S, Schrag D, Godfrey H, Hiotis K, Mendez J, Guth AA. Missed opportunities: racial disparities in adjuvant breast cancer treatment. J Clin Oncol. 2006 Mar 20;24(9):1357-62. doi: 10.1200/JCO.2005.04.5799. PMID: 16549830. https://pubmed.ncbi.nlm.nih.gov/16549830/
  20. Olufosoye O, Soler R, Babagbemi K. Disparities in genetic testing for breast cancer among black and Hispanic women in the United States. Clin Imaging. 2024 Mar;107:110066. doi: 10.1016/j.clinimag.2023.110066. Epub 2023 Dec 14. PMID: 38228024. https://pubmed.ncbi.nlm.nih.gov/38228024/
  21. Zevallos A, Bravo L, Bretel D, Paez K, Infante U, Cárdenas N, Alvarado H, Posada AM, Pinto JA. The Hispanic landscape of triple negative breast cancer. Crit Rev Oncol Hematol. 2020 Nov;155:103094. doi: 10.1016/j.critrevonc.2020.103094. Epub 2020 Sep 22. PMID: 33027724. https://www.sciencedirect.com/science/article/abs/pii/S1040842820302304?via%3Dihub
  22. The Cancer Genome Atlas Network. Comprehensive molecular portraits of human breast tumours. Nature, 490(7418), 61-70. https://doi.org/10.1038/nature11412
  23. QuickFacts: United States. (2023). Census Bureau QuickFacts; United States Census Bureau. https://www.census.gov/quickfacts/fact/table/US/RHI725223
  24. Spratt DE, Chan T, Waldron L, Speers C, Feng FY, Ogunwobi OO, Osborne JR. Racial/Ethnic Disparities in Genomic Sequencing. JAMA Oncol. 2016 Aug 1;2(8):1070-4. doi: 10.1001/jamaoncol.2016.1854. PMID: 27366979; PMCID: PMC5123755. https://pmc.ncbi.nlm.nih.gov/articles/PMC5123755/
  25. Cheema AW, Sutton EJ, Beck AT, Cuellar I, Moreno Garzon GG, Hernandez V, Lindor NM, Shaibi GQ, Kullo IJ, Sharp RR. Experiences of Latino Participants Receiving Neutral Genomic Screening Results: A Qualitative Study. Public Health Genomics. 2021 Feb 16;24(1-2):44-53. doi: 10.1159/000513219. Epub ahead of print. PMID: 33592611; PMCID: PMC10291848. https://pmc.ncbi.nlm.nih.gov/articles/PMC10291848/
  26. Tejeda S, Gallardo RI, Ferrans CE, Rauscher GH. Breast cancer delay in Latinas: the role of cultural beliefs and acculturation. J Behav Med. 2017 Apr;40(2):343-351. doi: 10.1007/s10865-016-9789-8. Epub 2016 Aug 29. PMID: 27572092; PMCID: PMC5332480.
  27. Sarhangi N, Hajjari S, Heydari SF, Ganjizadeh M, Rouhollah F, Hasanzad M. Breast cancer in the era of precision medicine. Mol Biol Rep. 2022 Oct;49(10):10023-10037. doi: 10.1007/s11033-022-07571-2. Epub 2022 Jun 22. PMID: 35733061. https://pubmed.ncbi.nlm.nih.gov/35733061/
  28. Philipovskiy A, Dwivedi AK, Gamez R, McCallum R, Mukherjee D, Nahleh Z, Aguilera RJ, Gaur S. Association between tumor mutation profile and clinical outcomes among Hispanic Latina women with triple-negative breast cancer. PLoS One. 2020 Sep 4;15(9):e0238262. doi: 10.1371/journal.pone.0238262. PMID: 32886682; PMCID: PMC7473586. https://pmc.ncbi.nlm.nih.gov/articles/PMC7473586/
  29. Diversity in Genomic Research. (n.d.). Genome.gov. https://www.genome.gov/about-genomics/fact-sheets/Diversity-in-Genomic-Research

About the Author

Amy RP

Amy Ruiz Plaza (she/her) is a Latina-American with a Bachelors of Science in biology from Bethel University, where she graduated in May of 2023. She is passionate about integrating social justice into the field of medicine and hopes to work in women's health in the future.

Mentor: Dr. Paula Soneral Affiliation: Bethel University