How to read a next-generation sequencing report-what oncologists need to know

S Schmid1, W Jochum2, B Padberg2

  • 1Division of Medical Oncology and Hematology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland; Inselspital Berne, University of Berne, Bern, Switzerland.

ESMO Open
|October 2, 2022
PubMed

Insights

Next-generation sequencing (NGS) is vital for identifying cancer-driving genomic alterations. This review guides oncologists in interpreting NGS reports to personalize cancer treatment effectively.

Area of Science:

  • Oncology
  • Genomics
  • Molecular Pathology

Background:

  • Next-generation sequencing (NGS) is integral to modern oncology for detecting targetable genomic alterations in tumors.
  • NGS testing strategies are tailored to cancer type, stage, and treatment implications.
  • The European Society for Medical Oncology (ESMO) has released guidelines for NGS use in advanced cancer.

Purpose of the Study:

  • To provide a practical guide for oncologists on reading and interpreting NGS reports.
  • To complement existing ESMO recommendations with actionable insights for clinical practice.
  • To emphasize the importance of understanding NGS results for informed treatment decisions.

Main Methods:

  • Review of current practices and literature on NGS report interpretation.
  • Analysis of key components of a comprehensive NGS report.
  • Discussion of collaborative interpretation involving molecular pathologists, tumor biologists, and clinicians.

Main Results:

  • Effective NGS reports detail tumor sample information, technology, actionable results, and variants of unknown significance.
  • Oncologists require foundational knowledge to interpret NGS reports beyond simply relying on provided information.
  • Annotated databases and molecular tumor boards facilitate accurate interpretation and continuing medical education.

Conclusions:

  • Interpreting NGS reports is a collaborative process essential for precision oncology.
  • Empowering oncologists with NGS interpretation skills enhances personalized cancer care.
  • Leveraging resources like databases and tumor boards optimizes the clinical utility of NGS.