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2023 World Conference on Lung Cancer (Posters)
EP07.04. Construction of Genome Atlas for lung Nod ...
EP07.04. Construction of Genome Atlas for lung Nodule and Molecular Insight into Lung Adenocarcinoma Development in Chinese Population - PDF(Slides)
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Researchers from the First Affiliated Hospital of Guangzhou Medical University in China have conducted a study to understand the molecular pathogenesis of lung adenocarcinoma (LUAD) development. The study aimed to identify potential biomarkers for early detection of lung cancer and drug targets for treatment. The researchers collected 465 tissue samples from Chinese patients with benign lung nodules to invasive adenocarcinoma (IA) and subjected them to whole exome sequencing, transcriptome sequencing, and DNA methylation sequencing. They found that EGFR and TP53 mutations were key drivers for early lung cancer development, with EGFR mutations increasing in frequency from benign nodules to the invasive stage. They also identified four distinct molecular groups based on gene expression and mutation patterns: an EGFR-driven group, an EGFR/TP53 co-mutation group, an inflamed group, and a stem-like group. The immune cell infiltration appeared more prominent in the inflamed and stem-like groups. DNA methylation patterns were different in each pathology subtype, with some markers being hypermethylated or hypomethylated in benign and IA nodules. The researchers integrated gene expression and DNA methylation data and identified potential biomarkers including BDNF, CD48, COX7A1, IKZF1, TNFRSF1B, CDC6, CLDN4, EGF, EGFR, ESRP2, GRB7, KRT8, SFN, and SLC22A18. The study provides valuable insights into the genomic landscape of lung nodules and offers a resource for understanding cancer evolution and developing interception solutions. The research was supported by various grants from funding organizations.
Asset Subtitle
Wenhua Liang
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Speaker
Wenhua Liang
Topic
Early-Stage NSCLC: Progress in Pathology
Keywords
lung adenocarcinoma
molecular pathogenesis
early detection
lung cancer
EGFR mutations
TP53 mutations
gene expression
DNA methylation
potential biomarkers
interception solutions
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