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Updated: Jul 5, 2025

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors
Published on: September 20, 2016
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.
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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