Targeted Gene Next-Generation Sequencing Panel in Patients with Advanced Lung Adenocarcinoma: Paving the Way for

Maria Gabriela O Fernandes1,2,3, Maria Jacob4, Natália Martins4,5,6

  • 1Pulmonology Department, Centro Hospitalar Universitário de São João, Alameda Prof. Hernani Monteiro, 4200-319 Porto, Portugal. gfernandes@med.up.pt.

Cancers
|August 25, 2019
PubMed

Insights

Next-Generation Sequencing (NGS) is superior to traditional Sanger sequencing and FISH for detecting actionable genomic mutations in advanced lung adenocarcinoma. NGS significantly reduces the unclassifiable rate, improving treatment selection for patients.

Area of Science:

  • Oncology
  • Genomics
  • Molecular Diagnostics

Background:

  • Accurate molecular profiling is critical for targeted therapy selection in advanced lung adenocarcinoma.
  • Traditional methods like Sanger sequencing and FISH have limitations in comprehensive genomic mutation detection.

Purpose of the Study:

  • To compare the efficacy of Next-Generation Sequencing (NGS) against Sanger sequencing and Fluorescence In Situ Hybridization (FISH) for identifying actionable genomic alterations.
  • To evaluate the clinical utility of NGS in both experimental and real-world clinical settings for advanced lung adenocarcinoma.

Main Methods:

  • A sequential approach using Sanger sequencing and FISH was compared with a comprehensive NGS-based approach in an experimental cohort (EC) of 117 patients.
  • NGS was subsequently implemented in a clinical practice cohort (IC) of 123 patients using a combined DNA and RNA panel.
  • Assessment included identification of gene variants, translocations, and mutations, alongside concordance analysis and impact on clinical outcomes.

Main Results:

  • NGS identified at least one gene variant in 47.9% of the EC, significantly reducing the unclassifiable rate by 24.8% compared to Sanger/FISH.
  • In the EC, NGS detected various mutations including EGFR, KRAS, BRAF, ERBB2, STK11, TP53, and ALK, with 12% presenting synchronous alterations.
  • In the IC, NGS detected actionable genomic variants in 64.2% of patients, including EML4-ALK, KIF5B-RET, CD74-ROS1, TPM3-NTRK translocations, and MET mutations, with 36% being treatable alterations.

Conclusions:

  • Next-Generation Sequencing (NGS) demonstrates superior performance in detecting actionable genomic alterations in advanced lung adenocarcinoma.
  • NGS significantly improves the molecular classification of patients, thereby facilitating more precise and effective targeted therapy selection.
  • The study strongly supports the adoption of NGS as a first-line diagnostic tool for comprehensive genomic profiling in advanced lung adenocarcinoma.

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