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Validation of a Modular Gene Expression Assay for Risk Stratification and Subtyping Lymphomas.

Peter J B Sabatini1, Josh Bridgers2, Shujun Huang2

  • 1Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada; Advanced Molecular Diagnostic Laboratory, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

The Journal of Molecular Diagnostics : JMD
|October 12, 2025
PubMed
Summary
This summary is machine-generated.

A new 120-gene expression panel, LExA120, offers a rapid and accurate method for classifying lymphoma subtypes. This molecular approach enhances diagnostic efficiency and prognostication for lymphoid malignancies.

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Area of Science:

  • Hematology
  • Molecular Diagnostics
  • Oncology

Background:

  • Traditional methods for classifying lymphoid malignancies, such as immunohistochemistry and fluorescence in situ hybridization, are labor-intensive and can lead to misclassification.
  • Accurate subtyping of lymphomas is crucial for effective prognostication and treatment selection.

Purpose of the Study:

  • To develop and validate a rapid, modular RNA expression panel, LExA120, for classifying lymphoma subtypes.
  • To assess the diagnostic accuracy and reproducibility of the LExA120 panel for evaluating aggressive B-cell lymphomas and Epstein-Barr virus (EBV) status.

Main Methods:

  • Development of the LExA120 120-gene expression panel utilizing the NanoString platform.
  • Testing of 54 formalin-fixed, paraffin-embedded tissue samples with known diagnoses and 51 samples with known EBV status.
  • Evaluation of concordance with validated methods using Pearson correlation coefficients and assessment of assay reproducibility.

Main Results:

  • The LExA120 panel demonstrated high concordance with previously validated methods for lymphoma classification.
  • The assay showed high reproducibility across repeated tests and different clinical laboratories.
  • The panel accurately stratified EBV-positive and EBV-negative lymphomas with high diagnostic certainty.

Conclusions:

  • The LExA120 gene expression panel provides a multiplexed and efficient approach for lymphoma classification.
  • This molecular diagnostic tool enhances accuracy and speed in subtyping lymphomas, potentially improving patient prognostication.
  • Synergy with traditional techniques can further optimize diagnostic workflows for cost-effectiveness and speed.