Multi-gene panel sequencing reveals the relationship between driver gene mutation and clinical characteristics in lung adenocarcinoma.

ABSTRACT:

Background

Testing of multiple cancer related genes using next-generation sequencing (NGS) has been widely used for personalized precision medicine of cancer. Integrated analysis of those NGS data and clinical data has offered new opportunities for investigating the relationship between driver genes' mutations and clinical characteristics in large cohorts. This study aims to explore the mutational landscape and its association with clinical features in a lung adenocarcinoma (LUAD) cohort.

Methods

Tumor tissues from 132 LUAD patients were subjected to customized 30 genes targeted next-generation sequencing. Somatic mutations of the 30 genes were identified and annotated. Statistical analysis was performed to determine the cooccurrence of mutations of different driver genes an

SUBMITTER: Li J 

PROVIDER: S-EPMC11889310 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature