Colorectal cancer (CRC) remains the third most commonly diagnosed malignancy and the second leading cause of cancer-related mortality worldwide

Background: Lung adenocarcinoma (LUAD) is the most prevalent histologic subtype of non-small cell lung cancer (NSCLC) and exhibits considerable molecular heterogeneity. Among the most clinically significant driver alterations are mutations in EGFR and KRAS, both of which influence treatment selection and oncologic outcomes. The prevalence of these mutations varies by race, yet racial minority populations remain underrepresented in genomic studies. EGFR alterations are more frequently observed in Asian patients, while KRAS mutations predominate in non-Asian cohorts. This study aimed to characterize race-associated differences in driver mutation prevalence among Asian, Black, and White patients with LUAD. Methods: A retrospective secondary cohort analysis was performed using publicly available clinicogenomic data from the Lung Adenocarcinoma Met Organotropism cohort, accessed via cBioPortal, comprising 2653 tumor samples. Patients were stratified by self-reported race into Asian, Black, and White cohorts; cases with missing race data were denoted as either other or unknown. Mutation frequencies for EGFR, KRAS, and TP53 were extracted from OncoPrint cohort study views and compared descriptively across groups. Results: Distinct race-associated differences in driver mutation prevalence were observed. Asian patients exhibited the highest frequency of EGFR alterations (64%), compared with Black (41%) and White (28%) cohorts. In contrast, KRAS mutations were least prevalent in Asian patients (10%) and more frequent in White (33%) and Black (23%) cohorts, indicating an inverse distribution between Asian and non-Asian populations. TP53 mutation prevalence was similar in Asian (52%) and White (53%) cohorts but was notably higher in Black patients (65%). Conclusions: Asian patients with LUAD exhibit a distinct molecular profile characterized by EGFR predominance, with direct implications for eligibility for EGFR-targeted tyrosine kinase inhibitor therapy. Black patients may also benefit from EGFR-based targeted therapies, but lack of large genomic data on Black populations warrants further investigation. White cohorts display a KRAS-dominant mutation pattern, suggesting divergent tumorigenic pathways and the potential need for alternative therapeutic strategies. The elevated TP53 frequency in Black patients remains to be further characterized. These findings support integrating race-associated genomic profiling into precision oncology frameworks to improve treatment selection and reduce disparities in outcomes.