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Abstract Introduction: Racial disparities in lung cancer remains a persistent and challenging problem, with African Americans experiencing the highest mortality of any race or ethnic group. Emerging evidence suggests that multiple biological factors affect the development and progression of lung cancer. Three-dimensional organoid culture models have become important instruments to use for biomarker analysis and drug sensitivity screening. Despite this strong rationale and potential, there is a lack of representative preclinical models from African American patients with lung cancer. Furthermore, there are no studies evaluating the ability to create organoids successfully using samples from different races. As such, our goal was to establish a diverse biobank of organoid models and determine the rate of successful development based on race and other factors. Methods: Patients with lung cancer from a large urban medical center were recruited to participate in the study from 2021 to 2024. Specimens were collected from surgical pulmonary resection or endobronchial biopsy. Each tissue specimen was divided into 3 pieces and allocated for genomic, transcriptomic and organoid development. Once collected, specimens allocated for organoid development were processed within 8 hours. Cells were isolated from tissues by mechanical and enzymatic dissociation and plated in Matrigel drops overlayed with optimized organoid media. Patient demographics, tumor characteristics and method of specimen collection were recorded. Results: A total of 29 patients consented to the study and had evaluable specimens collected. Mean age was 67 years. Fifty-five percent of patients (16/29) were female. White patients were 55 percent of cohort (16/29), while Black patients made up 45% (13/29). Approximately 62 (18/29) percent of patients were diagnosed with adenocarcinoma, followed by squamous cell carcinoma in 28 percent (8/29) of patients. Tumor stage was 55%, 28%, 3% and 14% for stages I, II, III and IV respectively. Overall, there was a successful organoid development rate of 69 percent (20/29). There was a strong trend toward higher success rates in Black patients compared to White patients (85% vs. 56%, p = 0.10). There were no significant differences in successful organoid development based on gender (p = 0.43), histology (p = 0.18) or tumor stage (p = 0.84). Conclusions: Establishment of a racially diverse set of organoid models will be an invaluable tool for biomarker discovery and for screening novel therapeutic agents. Black patients appear to have similar to improved propensity for successful organoid development. Future efforts should be focused on creating diverse biobanks to strengthen precision oncology efforts for Black patients, collectively helping to reduce racial outcomes disparities in patients with lung cancer. Citation Format: Amanda Pilling, Hollis Hutchings, Avi Cohen, Shirish Gadgeel, Ikenna Okereke. Diversifying translational research models to address outcomes disparities in lung cancer abstract. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr C172.
Pilling et al. (Sat,) studied this question.