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(Abstract)

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This presentation at the WCLC 2023 conference investigates the clinical implications of multi-genomic analysis of compound and uncommon EGFR mutations in non-small cell lung cancer (NSCLC). The study collected medical information from NSCLC patients with stage I-IIIA mEGFR who underwent surgical resection. RNA expression profiles were explored using multiplex IF and High-Plex Digital Spatial Profiling. The results showed that uncommon and compound mEGFR subtypes had shorter median relapse-free survival compared to common mEGFR subtypes. However, overall survival did not differ significantly between the groups. The rates of central nervous system recurrence were higher in the uncommon and compound mEGFR subtypes compared to the common mEGFR subtype. Spatial RNA-seq data revealed that genes involved in inflammatory and immune response were relatively lower in the uncommon and compound mEGFR subtypes. Gene ontology analysis showed that the RNA expression of genes in compound mEGFR was associated with chemokine production, electron transfer activity, and T cell selection. On the other hand, the RNA expression in uncommon mEGFRs was associated with the regulation of oligopeptide transport, hypermethylation of CpG island, and T cell lineage commitment. The study concludes that uncommon and compound mEGFR subtypes have distinct RNA expression profiles and may not be the same disease entity as the common mEGFR subtype. Further evaluation using an organoid model is planned based on these findings.

Asset Subtitle

Jaekyeong Lee

Meta Tag

Speaker Jaekyeong Lee

Topic Tumor Biology: Translational Biology - Omics and New Technologies

Keywords

WCLC 2023 conference

multi-genomic analysis

compound EGFR mutations

uncommon EGFR mutations

non-small cell lung cancer

RNA expression profiles

relapse-free survival

central nervous system recurrence

inflammatory response

organoid model