Comparison of Large, Medium, and Small Solid Tumor Gene Panels for Detection of Clinically Actionable Mutations in

Eric Vail1,2, Jianbo Song3, Jing Xu3

  • 1Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Eric.Vail@cshs.org.

Targeted Oncology
|August 10, 2020
PubMed
Abstract

Insights

A medium-sized gene panel effectively identifies actionable cancer variants, comparable to larger panels. This finding supports the use of medium panels in molecular pathology labs for cancer diagnostics.

Area of Science:

  • Oncology
  • Molecular Diagnostics
  • Genomics

Background:

  • Next-generation sequencing (NGS) gene panels are increasingly used for cancer molecular diagnostics, replacing single-gene tests.
  • The optimal gene panel size is crucial and depends on the specific diagnostic application.

Purpose of the Study:

  • To determine the ideal size of gene panels for identifying clinically actionable variants in solid tumors.
  • To compare the performance of different-sized gene panels (small, medium, large) in detecting actionable mutations.

Main Methods:

  • Sequencing data from 480 patients using a large 315-gene panel were analyzed.
  • The coverage and variant detection of the large panel were compared against a 161-gene medium panel and a 50-gene small panel.

Main Results:

  • The large panel identified 2072 variants; 12.7% had FDA-approved therapies, 18.5% had off-label therapy associations, and 65.0% were eligible for clinical trials.
  • A medium-sized panel detected 65.3% of variants found by the large panel and would have identified all patients with actionable variants.
  • A small panel identified only 35.5% of variants and missed a significant number of actionable mutations.

Conclusions:

  • A well-designed medium-sized gene panel is as effective as a large panel for detecting clinically actionable variants in solid tumors.
  • Medium-sized gene panels are practical for implementation in most molecular pathology laboratories, offering a balance of comprehensive detection and efficiency.

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