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Correlation between apoptosis microarray gene expression profiling and histopathological lymph node lesions.

J P Dales1, J Plumas, F Palmerini

  • 1INSERM U 119, Institut Paoli-Calmettes, IFR 57 and Université de la Méditerranée, Marseille, France.

Molecular Pathology : MP
|February 24, 2001
PubMed
Summary
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Ready-made apoptosis macroarrays show promise for diagnosing non-Hodgkin's lymphomas. Gene expression profiles from sorted lymphoma cells correlated with histological features, suggesting a potential diagnostic tool in haematopathology.

Area of Science:

  • Haematopathology
  • Molecular diagnostics
  • Apoptosis research

Background:

  • Microarray technology has identified molecular prognostic subgroups in non-Hodgkin's lymphomas.
  • Apoptosis-related genes, including caspases, are crucial in lymphoma pathogenesis.

Purpose of the Study:

  • To evaluate the utility of ready-made macroarrays as routine diagnostic tools in haematopathology.
  • To analyze gene expression profiles of apoptosis-related genes in lymphoma biopsies.

Main Methods:

  • Analysis of nine biopsy specimens (follicular lymphoma, diffuse large cell lymphoma, benign lymphadenitis) using cDNA macroarrays.
  • Sorting of various cell populations (malignant B cells, reactive B/T cells, virgin B cells, germinal centre B cells).
  • Immunohistochemistry (IHC) for caspases 2, 3, 4, 7, 8, and 9 localization.

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Main Results:

  • Clustered array data grouped sorted cells with similar histological lesions.
  • Correlation between array and IHC methods for most caspases and samples.
  • Less satisfactory array/histology correlation for whole tissues compared to sorted cells.

Conclusions:

  • Variations in macroarray profiles of sorted cell populations correlate with specific histological features.
  • Ready-made apoptosis macroarrays show potential for diagnostic applications in haematopathology.
  • Further validation is needed to establish macroarrays as routine diagnostic tools.