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Updated: May 9, 2025

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1p and/or 19q polysomy is an adverse prognostic factor in oligodendrogliomas, and easy to detect by automated FISH.

Karine Michaud1, Peter Vincent Gould2, Myreille D'Astous1

  • 1Department of Neurosurgery, Centre Hospitalier Universitaire de Québec, Québec, Canada.

Plos One
|May 2, 2025
PubMed
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Automated FISH analysis accurately determines 1p and/or 19q polysomy in oligodendrogliomas, revealing it as a significant prognostic factor. This method offers a feasible and reliable approach for clinical assessment and multicenter studies.

Area of Science:

  • Neuro-oncology
  • Molecular Pathology
  • Genetics

Background:

  • Oligodendrogliomas (OGs) are primary brain tumors where 1p/19q codeletion is a key diagnostic and prognostic marker.
  • Traditional manual FISH analysis for chromosomal abnormalities can be time-consuming and subjective.
  • Automated analysis offers potential for improved efficiency and standardization in molecular diagnostics.

Purpose of the Study:

  • To evaluate the feasibility of automated FISH analysis for determining 1p and/or 19q polysomy in oligodendrogliomas.
  • To assess the prognostic value of 1p and/or 19q polysomy in OGs.
  • To compare the concordance between automated and manual FISH methods.

Main Methods:

  • Retrospective analysis of 145 oligodendrogliomas with IDH mutation and 1p/19q codeletion.

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  • Automated FISH analysis performed to assess 1p and/or 19q polysomy status.
  • Comparison of automated results with manual analysis, clinical data, and survival outcomes (EFS, OS).

    • Main Results:

    • Automated FISH analysis showed high concordance (96-98%) with manual methods.
    • 1p and/or 19q polysomy was found in 40% of OGs, significantly more frequent in high-grade tumors (grade 3 vs. grade 2).
    • Polysomy correlated with adverse histological features and predicted shorter event-free survival (EFS) and overall survival (OS).

    Conclusions:

    • 1p and/or 19q polysomy status is a significant prognostic factor in oligodendrogliomas.
    • Automated FISH analysis is a feasible, accurate, and efficient method for determining polysomy status.
    • Automated analysis facilitates easier implementation, better data archiving, and multicenter comparisons, supporting its clinical utility.