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Updated: Sep 2, 2025

Pre-clinical Evaluation of Tyrosine Kinase Inhibitors for Treatment of Acute Leukemia
Published on: September 18, 2013
Are Pivotal Clinical Trials for Drugs Approved for Leukemias and Multiple Myeloma Representative of the Population at
Mycal Casey1, Lorriane Odhiambo2, Nidhi Aggarwal3
1Internal Medicine, Medical College of Georgia at Augusta University, Augusta, GA.
Purpose:
There are significant disparities in care and outcomes for patients with leukemias and multiple myeloma (MM). To evaluate the extent to which clinical trials (CTs) match the demographic and geographic diversity of populations affected by leukemias and MM.
Methods:
CTs leading to drug approval were identified from the US Food and Drug Administration databases. Demographic and geographic data were collected from ClinicalTrials.gov and primary manuscripts. Standard descriptive statistics were used to summarize the data in frequencies and proportions, including 95% CIs, by race, ethnicity, sex, and malignancy subtypes.
Results:
A total of 41 (67.2%) trials leading to drug approval reported data on race and 20 (48.8%) on ethnicity. These trials included 13,731 patients, of whom 11,209 (81.6%) were White. Among minorities, Asian-Pacific Islanders and Blacks had the highest representation in chronic myeloid leukemia, 147 (12.7%) and 61 (5.3%), and lowest in chronic lymphocytic leukemia, 55 (3%) and 20 (1.1%), respectively. Proportions for Blacks, Native Americans, and Hispanics were significantly low, reflecting under-representation in trials compared with the proportion in the general population. Females were also under-represented in acute myeloid leukemia (44.7% v 60.5%, P < .0001), and males in MM (55.3% v 60.2%, P < .0001) and chronic myeloid leukemia (55.2% v 62.9%, P < .0001). The geographic distribution of trials showed inadequate regional and state participation compared with mortality for all malignancies except MM.
Conclusion:
There are significant demographic and geographic under-representation and imbalances in pivotal CTs leading to drug approvals for leukemias and MM compared with the population affected. These disparities need to be addressed to make results applicable to all relevant populations.
Insights
Clinical trials for leukemias and multiple myeloma (MM) show significant demographic and geographic under-representation. These disparities mean trial results may not apply to all affected populations, highlighting a need for broader inclusion in cancer research.
Area of Science:
- Hematology
- Clinical Trials Research
- Health Disparities
Background:
- Significant disparities exist in the care and outcomes for patients diagnosed with leukemias and multiple myeloma (MM).
- The representativeness of clinical trials (CTs) in reflecting the diversity of affected populations is crucial for generalizability.
Purpose of the Study:
- To evaluate the extent to which clinical trials leading to drug approval for leukemias and MM match the demographic and geographic diversity of the populations impacted by these diseases.
- To identify imbalances in patient representation within pivotal clinical trials.
Main Methods:
- Identified CTs leading to drug approval using US Food and Drug Administration databases.
- Collected demographic and geographic data from ClinicalTrials.gov and primary manuscripts.
- Summarized data using descriptive statistics, analyzing representation by race, ethnicity, sex, and malignancy subtypes.
Main Results:
- Of 41 trials reporting race and 20 reporting ethnicity, most patients (81.6%) were White.
- Minority groups, including Asian-Pacific Islanders and Blacks, showed varied representation across leukemia subtypes, with overall low proportions for Blacks, Native Americans, and Hispanics compared to the general population.
- Females were under-represented in acute myeloid leukemia trials, while males were under-represented in multiple myeloma and chronic myeloid leukemia trials. Geographic distribution also showed inadequate participation relative to mortality rates.
Conclusions:
- Pivotal CTs for leukemias and MM demonstrate significant demographic and geographic under-representation and imbalances when compared to the affected populations.
- Addressing these disparities is essential to ensure that clinical trial outcomes are applicable to all relevant patient groups.
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