2023 World Conference on Lung Cancer (Posters)-P1.11. Clinical Implication of Multi-Genomic Analysis about Compound and Uncommon EGFR Mutations in the Non-small Cell Lung Cancer

P1.11. Clinical Implication of Multi-Genomic Analysis about Compound and Uncommon EGFR Mutations in the Non-small Cell Lung Cancer - PDF(Slides)

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In this study, researchers examined the clinical implications of multi-genomic analysis on compound and uncommon EGFR mutations in non-small cell lung cancer (NSCLC). They collected clinical data from patients with stage I-IIIA NSCLC who underwent surgical resection between 2014 and 2019. The data included patients' age, gender, smoking history, TNM stage, pathology information, and treatment schemes.<br /><br />The researchers analyzed the NGS data from the Foundation Medicine (FMI) database and collected medical information from Seoul St. Mary's Hospital. They also analyzed treatment results in stage IV NSCLC patients using EGFR TKIs from Böehringer Ingelheim (BI) open data access. RNA expression profiles were explored using multiplex IF and High-Plex Digital Spatial Profiling.<br /><br />The results showed that EGFR mutations were more common in East Asian patients compared to Caucasian patients. Uncommon and compound mutations were also observed in NSCLC patients, but their clinical relevance and TKI sensitivity were not well understood.<br /><br />Further analysis revealed significant differences in gene expression profiles and cell signaling pathways between common and uncommon/compound mutations. Uncommon/compound mutations were associated with lower expression of genes involved in inflammatory and immune response, and functional associations with chemokine production and oligopeptide transport.<br /><br />In conclusion, the study suggests that uncommon and compound EGFR mutations in NSCLC may have distinct characteristics and should be considered as separate disease entities rather than being grouped with common mutations. The researchers are now conducting further evaluation using an organoid model to better understand these mutations.

Asset Subtitle

Jaekyeong Lee

Meta Tag

Speaker Jaekyeong Lee

Topic Tumor Biology: Translational Biology - Omics and New Technologies

Keywords

multi-genomic analysis

EGFR mutations

non-small cell lung cancer

NSCLC

clinical implications

compound mutations

uncommon mutations

NGS data

RNA expression profiles

gene expression profiles