WCLC 2025 - Posters & ePosters-P3.01.09 Survival Determinants and Socio-Demographic Disparities in Early Onset Lung Cancer in Young Adults: Insights From AI Modeling

P3.01.09 Survival Determinants and Socio-Demographic Disparities in Early Onset Lung Cancer in Young Adults: Insights From AI Modeling

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This study analyzed survival determinants and socio-demographic disparities in early-onset non–small cell lung cancer (NSCLC), focusing on patients aged 18 to 50 diagnosed between 2010 and 2021 using the SEER database. Employing Cox proportional hazards regression and random survival forest models enhanced by SHAP (SHapley Additive exPlanations) values, the researchers identified and interpreted factors influencing overall survival. The SHAP methodology provided a nuanced understanding by quantifying each variable's impact on survival predictions.<br /><br />Key findings revealed that both clinical and modifiable socio-demographic factors significantly shaped outcomes. Advanced cancer stage at diagnosis was the strongest predictor of poor survival. Beyond clinical factors, socio-demographic variables such as rural residence, lower household income, and delays between diagnosis and initiation of treatment markedly influenced survival, particularly in early-stage disease. The analyses underscored the importance of radiation therapy and timely treatment initiation as critical survival predictors.<br /><br />Kaplan-Meier survival curves stratified by stage and socio-demographic attributes further illustrated disparities in survival outcomes. This machine learning approach highlighted the complex interplay between clinical severity and social determinants in this relatively understudied, younger NSCLC population.<br /><br />The study concludes that addressing socio-economic barriers and improving access to timely, effective treatments are essential to improving survival in early-onset NSCLC. Findings advocate for risk-adapted screening protocols, enhanced healthcare resource allocation, and policy measures aimed at mitigating disparities linked to income and geographic location. Overall, this work emphasizes the need for integrated clinical and socio-economic strategies to optimize outcomes in this underserved group.

Asset Subtitle

Maroun Bou Zerdan

Meta Tag

Speaker Maroun Bou Zerdan

Topic Risk Factors, Risk Reduction & Tobacco Control

Keywords

early-onset non-small cell lung cancer

NSCLC survival determinants

SEER database analysis

Cox proportional hazards regression

random survival forest

SHAP values

socio-demographic disparities

cancer stage prognosis

radiation therapy impact

timely treatment initiation