Demographic Composition of Select Oncologic New Molecular Entities Approved by the FDA Between 2008 and 2017

Anuradha Ramamoorthy1, Todd C Knepper2, Christine Merenda3

  • 1Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research (CDER), U.S. Food and Drug Administration (FDA), Silver Spring, Maryland, USA.

Insights

Clinical trials for cancer drugs show under-representation of minority populations. Broader patient subgroup enrollment is crucial for understanding drug response variability and personalizing cancer treatment.

Area of Science:

  • Oncology
  • Clinical Pharmacology
  • Health Disparities

Background:

  • Demographic factors like race, ethnicity, sex, and age significantly impact drug efficacy and patient outcomes.
  • Certain cancers, including breast, colorectal, lung, and prostate cancer, exhibit varying morbidity and mortality rates across different demographic groups.

Purpose of the Study:

  • To analyze demographic subgroup enrollment patterns in new therapeutic products approved by the US Food and Drug Administration (FDA) for select cancers.
  • To identify potential under-representation of minority populations in pivotal clinical trials.

Main Methods:

  • Review of participant demographics (race, ethnicity, age, sex) in new cancer therapeutic product submissions to the FDA.
  • Analysis of enrollment data for products approved between 2008-2013 and 2014-2017.

Main Results:

  • Between 2008-2013, trials (n=22,481) comprised predominantly white (80%) and male (56%) participants, with most from outside the US (74%).
  • Between 2014-2017, trials (n=3,612) continued to show a majority of white (71%) and male (48-63%) participants, with under-representation of US minority populations.
  • Age distribution showed 59-61% of participants were between 17 and 64 years old.

Conclusions:

  • Clinical trials for major cancer therapeutics show persistent under-representation of US minority populations.
  • Increased diversity in patient subgroups within clinical trials is essential for a comprehensive understanding of drug exposure and response variability.
  • Broader demographic representation can facilitate personalized drug therapy and improve cancer treatment outcomes across diverse populations.

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