Research Silos in Cancer Disparities: Obstacles to Improving Clinical Outcomes for Underserved Patient Populations

Angelique Richardson1, Burcu Darst2, Genevieve Wojcik3

  • 1Department of Medicine, University of California San Diego, San Diego, California.

Insights

Racial disparities in cancer outcomes persist due to underrepresentation in research. Integrating socioeconomic and genetic factors can advance precision medicine equity for all cancer patients.

Area of Science:

  • Oncology
  • Health Disparities Research
  • Translational Medicine

Background:

  • Significant racial disparities persist in cancer outcomes, with non-White patients experiencing worse results compared to White patients.
  • Underrepresentation of non-White populations in clinical trials and research datasets contributes to these disparities.
  • Existing research often operates in silos, focusing separately on socioeconomic factors linked to racism and genetic ancestry's molecular impact.

Purpose of the Study:

  • To advocate for breaking down research silos in cancer disparities.
  • To promote an integrated understanding of how race and racism influence cancer development and outcomes.
  • To foster the development of equitable precision medicine and cancer therapeutics.

Main Methods:

  • This perspective reviews existing literature on racial disparities in cancer research.
  • It analyzes the limitations of siloed research approaches (socioeconomic vs. genetic).
  • It proposes an integrated framework for future cancer disparities research.

Main Results:

  • Current research paradigms inadequately address the multifaceted impact of race and racism on cancer.
  • Siloed approaches limit the development of universally applicable diagnostics and therapeutics.
  • An integrated approach is crucial for understanding the molecular biology of cancer influenced by stress and environment.

Conclusions:

  • Breaking down research silos is essential for achieving health equity in cancer care.
  • An integrated understanding of socioeconomic and genetic factors will accelerate progress in precision medicine.
  • This comprehensive approach will lead to improved cancer diagnostics and therapeutics for diverse patient populations.

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