WCLC 2025 - Posters & ePosters-EP.01.11 Impact of Demographics and Smoking on Driver Gene Mutations Development in Non-Small Cell Lung Cancer (NSCLC)

EP.01.11 Impact of Demographics and Smoking on Driver Gene Mutations Development in Non-Small Cell Lung Cancer (NSCLC)

Pdf Summary

This study investigated how demographic factors (sex, race, ethnicity) and smoking influence the development of key driver gene mutations—KRAS, EGFR, ERBB2, and ALK—in non-small cell lung cancer (NSCLC). Using the AACR Project GENIE BPC NSCLC v2.0 dataset, researchers analyzed 537 patients diagnosed with stage I-III NSCLC, with a median age of 68 years. The cohort was predominantly female (56%), white (87%), and non-Hispanic (94%), with stage III being the most common diagnosis stage (45%).<br /><br />Results showed a moderate association between smoking and EGFR mutations (p=0.001), but not with KRAS, ALK, or ERBB2 mutations. Female sex was also significantly linked to EGFR mutations (p=0.006), whereas no significant associations with sex were observed for the other genes. White race was associated with increased frequency of EGFR (p=0.001) and ERBB2 mutations (p=0.003), exhibiting small effects, but race was not linked to KRAS or ALK mutations. Ethnicity showed no significant correlation with any of the studied driver gene mutations.<br /><br />The findings underline that smoking, female sex, and white race contribute notably to the presence of EGFR mutations in NSCLC patients, while ethnicity does not appear to influence driver mutation development. These results highlight the importance of considering demographic and lifestyle factors in personalized risk assessment and targeted treatment approaches for NSCLC. Personalized strategies should incorporate these factors to improve accuracy in predicting mutation presence and guide therapeutic decisions.

Asset Subtitle

Tasneem Khallad

Meta Tag

Speaker Tasneem Khallad

Topic Risk Factors, Risk Reduction & Tobacco Control

Keywords

non-small cell lung cancer

NSCLC

driver gene mutations

KRAS

EGFR

ERBB2

ALK

demographic factors

smoking

personalized treatment