toplogo
Anmelden

Racial Disparities in Breast Cancer Survival Across Tumor Subtypes in the United States


Kernkonzepte
Black women in the United States have higher breast cancer mortality rates than White women across all tumor subtypes, with the greatest disparity observed in hormone receptor-positive (HR+), human epidermal growth factor 2–negative (HER2−) tumors.
Zusammenfassung

This article presents the findings of a systematic review and meta-analysis that examined racial differences in breast cancer (BC) survival by tumor subtype in the United States. The study included 18 studies published between 2009 and 2022, with a total of 228,885 women (34,262 Black women and 182,466 White women).

The key findings are:

  1. Black women had a higher risk of BC-specific death across all tumor subtypes compared to White women.
  2. The greatest disparity was observed in HR+ HER2− tumors, where Black women had a 50% higher risk of death.
  3. Black women also had a higher risk of death for HR+ HER2+ (34% higher), HR− HER2+ (20% higher), and HR− HER2− (17% higher) tumors.
  4. Overall survival was also poorer for Black women across all subtypes, although the estimates for HR− HER2+ tumors did not reach statistical significance.
  5. Adjustments for socioeconomic status and the proportion of Black participants explained about half and all the variance in the disparities for HR+ HER2− and HR− HER2+ tumors, respectively.

The authors conclude that there are both subtype-specific and subtype-independent mechanisms that contribute to the disparities in breast cancer survival between Black and White women, requiring multilevel interventions to address and achieve health equity.

edit_icon

Zusammenfassung anpassen

edit_icon

Mit KI umschreiben

edit_icon

Zitate generieren

translate_icon

Quelle übersetzen

visual_icon

Mindmap erstellen

visit_icon

Quelle besuchen

Statistiken
Black women had a 50% higher risk of death from hormone receptor-positive (HR+), human epidermal growth factor 2–negative (HER2−) breast cancer compared to White women (hazard ratio [HR], 1.50; 95% CI, 1.30-1.72). Black women had a 34% higher risk of death from HR+ HER2+ breast cancer compared to White women (HR, 1.34; 95% CI, 1.10-1.64). Black women had a 20% higher risk of death from HR− HER2+ breast cancer compared to White women (HR, 1.20; 95% CI, 1.00-1.43). Black women had a 17% higher risk of death from HR− HER2− breast cancer compared to White women (HR, 1.17; 95% CI, 1.10-1.25).
Zitate
"These results suggest there are both subtype-specific and subtype-independent mechanisms that contribute to disparities in breast cancer survival between Black and White women, which require multilevel interventions to address and achieve health equity."

Tiefere Fragen

What are the potential subtype-specific and subtype-independent mechanisms that contribute to the observed racial disparities in breast cancer survival?

The observed racial disparities in breast cancer survival between Black and White women can be attributed to both subtype-specific and subtype-independent mechanisms. Subtype-specific mechanisms may include biological differences in tumor characteristics, such as variations in tumor biology, aggressiveness, and response to treatment. For instance, Black women have a higher prevalence of hormone receptor-positive (HR+) tumors, particularly HR+ HER2− tumors, which are associated with poorer survival outcomes. These tumors may exhibit distinct molecular profiles that influence treatment efficacy and disease progression. Additionally, disparities in access to targeted therapies and clinical trials for specific subtypes can exacerbate survival differences. Subtype-independent mechanisms encompass broader systemic issues, including socioeconomic factors, healthcare access, and quality of care. Black women often face barriers such as lower socioeconomic status, which can limit access to timely diagnosis and effective treatment options. Furthermore, implicit biases within the healthcare system may lead to disparities in treatment recommendations and follow-up care. The study highlights that socioeconomic status and the number of Black participants accounted for a significant portion of the variance in survival outcomes, indicating that these factors play a crucial role in the overall disparities observed.

How can the healthcare system and public health interventions address the socioeconomic and other unmeasured factors that contribute to these disparities?

To effectively address the socioeconomic and unmeasured factors contributing to racial disparities in breast cancer survival, a multifaceted approach is necessary. Improving Access to Care: Expanding access to healthcare services for underserved populations is critical. This can be achieved through community health programs, mobile clinics, and partnerships with local organizations to provide screenings and education in high-risk communities. Enhancing Education and Awareness: Public health campaigns aimed at increasing awareness of breast cancer risk factors, screening guidelines, and treatment options can empower Black women to seek timely care. Educational initiatives should be culturally tailored to resonate with the target population. Addressing Socioeconomic Barriers: Interventions that provide financial assistance for treatment, transportation services to medical appointments, and support for navigating the healthcare system can help mitigate the impact of socioeconomic disparities. Training Healthcare Providers: Implementing training programs to address implicit biases among healthcare providers can improve the quality of care received by Black women. Ensuring that providers are aware of the unique challenges faced by these patients can lead to more equitable treatment recommendations. Research and Data Collection: Continued research into the specific barriers faced by Black women in breast cancer care is essential. Collecting data on treatment completion rates, recurrence detection, and patient experiences can help identify gaps in care and inform targeted interventions.

What role can advancements in precision medicine and personalized cancer care play in reducing racial disparities in breast cancer outcomes?

Advancements in precision medicine and personalized cancer care hold significant potential for reducing racial disparities in breast cancer outcomes by tailoring treatment strategies to individual patient characteristics, including genetic, environmental, and lifestyle factors. Targeted Therapies: Precision medicine allows for the development of targeted therapies that are more effective for specific tumor subtypes. By identifying the molecular characteristics of tumors, healthcare providers can prescribe treatments that are more likely to succeed, particularly for Black women who may have different tumor biology. Genomic Profiling: Utilizing genomic profiling can help identify patients who are at higher risk for aggressive disease or who may benefit from specific treatment regimens. This approach can lead to earlier interventions and improved survival rates. Clinical Trials: Increasing the representation of Black women in clinical trials for new therapies can ensure that treatment protocols are effective across diverse populations. This inclusivity can lead to more equitable access to cutting-edge treatments and better understanding of how different populations respond to therapies. Personalized Care Plans: Developing personalized care plans that consider a patient’s unique background, including socioeconomic factors, can enhance adherence to treatment and follow-up care. This holistic approach can improve patient outcomes and reduce disparities. Data-Driven Insights: Leveraging big data and artificial intelligence in cancer research can uncover patterns and predictors of treatment response among different racial and ethnic groups. This information can inform public health strategies and clinical practices aimed at reducing disparities. In summary, precision medicine and personalized cancer care can play a transformative role in addressing the racial disparities in breast cancer outcomes by ensuring that treatments are tailored to the specific needs of diverse patient populations.
0
star