Actionable mutational profiling in solid tumors using hybrid-capture-based next-generation sequencing in a real-world

Sandra Zazo1,2, Sandra Pérez-Buira1, Nerea Carvajal1

  • 1Department of Pathology, Fundación Jiménez Díaz University Hospital, Madrid, Spain.

Cancer Medicine
|January 12, 2024
PubMed
Abstract

Insights

Next-generation sequencing (NGS) reliably detects genomic alterations in diverse Spanish cancer patients. This approach improves tumor characterization and identifies more actionable mutations, especially in lung cancer.

Area of Science:

  • Oncology
  • Genomics
  • Molecular Diagnostics

Background:

  • Next-generation sequencing (NGS) is crucial for identifying precise genomic alterations in cancer.
  • Implementing NGS in routine clinical practice requires evaluation of its performance and impact.

Purpose of the Study:

  • To assess the performance of an NGS panel for detecting genomic alterations in Spanish clinical practice.
  • To evaluate the influence of tumor characteristics on NGS informative and actionable mutation rates.

Main Methods:

  • A cross-sectional study analyzed 537 Formalin-Fixed Paraffin-Embedded (FFPE) solid tumor samples using the AVENIO Tumor Tissue Targeted Kit.
  • Descriptive analysis and multivariable logistic regression were used to assess NGS performance and mutation rates based on sample characteristics.

Main Results:

  • The NGS panel achieved a 75.2% informative rate across all tumors and 75.3% in lung cancer.
  • Surgical specimens yielded more informative results than diagnostic biopsies.
  • Single nucleotide variants were the most common alteration; actionable mutations were more frequent in non-smokers and specific lung cancer histologies.

Conclusions:

  • NGS routinely provides good informative rates and enhances tumor characterization in Spanish clinical practice.
  • This study represents the largest cohort in Spain to analyze tumor biopsies using NGS in routine settings.
  • NGS facilitates the identification of a greater number of actionable mutations for cancer treatment.

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