Targeted next-generation sequencing of 491 lung cancers in clinical practice: Implications for future detection

Xiao-Dan Liu1, Yan Zhang1, Hui-Ying He1

  • 1Department of Pathology, School of Basic Medical Sciences, Peking University Third Hospital, Peking University Health Science Center, Beijing, 100191, China.

Heliyon
|March 18, 2024
PubMed

Insights

This study analyzed lung cancer mutations, finding high rates of EGFR and TP53 alterations. Targeted next-generation sequencing (NGS) offers a comprehensive approach for identifying these key mutations in non-small cell lung cancer (NSCLC).

Area of Science:

  • Oncology
  • Genetics
  • Molecular Biology

Background:

  • Lung cancer is a leading cause of cancer mortality globally.
  • Advances in targeted therapies have improved treatment outcomes.
  • Identifying oncogenic driver alterations is crucial for personalized medicine.

Purpose of the Study:

  • To investigate the mutational landscape of lung cancer in a specific cohort.
  • To compare mutation profiles with existing databases like TCGA-LUAD.
  • To evaluate the efficacy of targeted next-generation sequencing (NGS) for mutation detection.

Main Methods:

  • Retrospective analysis of lung cancer samples.
  • Targeted sequencing of 25 key cancer-related genes.
  • Comparison of mutation frequencies with The Cancer Genome Atlas (TCGA-LUAD) data.
  • Evaluation of EGFR mutation detection concordance between NGS and ARMS-based tests.

Main Results:

  • 97.7% of samples harbored at least one mutation in the tested genes.
  • EGFR (53.6%) and TP53 (41.1%) were the most frequent mutations.
  • Significant differences in mutation rates (EGFR, KRAS, STK11, FGFR3, ERBB4) were observed compared to TCGA-LUAD data.
  • EGFR mutations increased with tumor invasiveness (AIS to IA), while ERBB2 mutations decreased.
  • Targeted NGS showed 94.6% consistency with ARMS for EGFR mutation detection.

Conclusions:

  • Targeted NGS provides a comprehensive mutational profile for lung cancer.
  • Distinct mutation patterns exist between different lung adenocarcinoma subtypes.
  • A specialized detection strategy is recommended for EGFR mutations in Asian populations due to high prevalence.