Abstract 84P
Background
Lung cancer is the leading cause of cancer-related deaths worldwide and disproportionately affects racial and ethnic minorities. We aimed to assess the enrollment of minorities in phase I clinical trials for lung cancer.
Methods
We searched the clinicaltrials.gov database for completed phase I clinical trials conducted in adult patients from 2010 to 2022. To ensure the relevance and generalizability of our findings, we included trials conducted in North America, Europe, and Australia, while excluding those restricted to Southeast Asia or focused on radiation or screening interventions. We manually abstracted data on the racial distribution of enrollees, tumor histology, therapeutics, and year of trial reporting. To quantify the enrollment of each racial group, we calculated the enrollment fraction for each subgroup as the number of trial enrollees within that subgroup divided by the estimated number of incident cases in that subgroup during a given period. We used the Z test for proportions to compare enrollment fractions between racial groups, with Whites as the comparator group.
Results
We identified 193 phase I clinical trials, and 132 met our inclusion criteria for analysis. Racial data was available in 89 studies (67.5%) that included 11,359 participants: 9439 White (83%), 508 African American (4.5%), 898 Asian (8%), and 513 other participants (4.5%). The frequency of race reporting increased over time, with racial data included in 37% of studies in 2010-2014, 51% in 2015-2019, and 93% in 2020-2022. Comparison of enrollment fractions between 2015-2019 showed that African Americans were significantly underrepresented compared to Whites (z=5.2, p<0.00001). Table: 84P
White | African American | Asians | Other | |
Proportion of Trial Enrollment, % | 87.8 | 4.4 | 5.5 | 2.3 |
Enrollment fraction, % | 0.34 | 0.14 | 0.62 | 0.65 |
Conclusions
Our study highlights the continued underrepresentation of minorities in phase I clinical trials for lung cancer. To ensure equity in trial participation and the generalizability of developmental therapeutic trials in lung cancer, it is necessary to implement multilevel, culturally, and linguistically tailored strategies.
Clinical trial identification
Editorial acknowledgement
No assistance
Legal entity responsible for the study
R. Singh.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
73P - Automated detection of typical and atypical mitotic figures for improving survival prediction in breast cancer
Presenter: Saima Ben Hadj
Session: Cocktail & Poster Display session
Resources:
Abstract
74P - Tumor agnostic comparison of immunohistochemistry and next-generation sequencing in detecting ALK fusions and assessment of ALK tyrosine kinase inhibitor efficacy
Presenter: Monica Chen
Session: Cocktail & Poster Display session
Resources:
Abstract
75P - Target identification by TIME phenotypes
Presenter: Robert Seitz
Session: Cocktail & Poster Display session
Resources:
Abstract
76P - Prediction of response to palliative chemotherapy by circulating tumor DNA (ctDNA) kinetics in metastatic pancreatic cancer
Presenter: Patrick Kirchweger
Session: Cocktail & Poster Display session
Resources:
Abstract
77P - Impact of germline HLA genotypes on clinical outcomes in patients (pts) with solid tumors treated with immunotherapy
Presenter: Katerin Rojas Laimito
Session: Cocktail & Poster Display session
Resources:
Abstract
78P - High resolution in situ analysis reveals phenotypic and functional diversification within single pancreatic tumour ducts
Presenter: Ellis Michiels
Session: Cocktail & Poster Display session
Resources:
Abstract
81P - Implementing genomic profiling as standard-of-care for glioblastoma patients
Presenter: Vincent Fougner
Session: Cocktail & Poster Display session
Resources:
Abstract
82P - Cyclic fasting-mimicking diet as a strategy to improve the efficacy of standard antitumor therapies in cancer patients
Presenter: Filippo Guglielmo Maria De Braud
Session: Cocktail & Poster Display session
Resources:
Abstract
83P - Evaluation of response-predictive biomarkers for lisavanbulin: A phase II study in patients with recurrent glioblastoma
Presenter: Juanita Lopez
Session: Cocktail & Poster Display session
Resources:
Abstract
85P - Stereotactic radiotherapy improves disease control in oligoprogressive patients included in early clinical trials
Presenter: Antoine Mavrikios
Session: Cocktail & Poster Display session
Resources:
Abstract