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Image analysis in multiple myeloma at diagnosis. Correlation with cytogenetic study
M Zandecki1, F Bernardi, J L Laï
1Laboratoire d'Hématologie, Hôpital Calmette, Lille, France.
Cancer Genetics and Cytogenetics
|June 1, 1994
Summary
Aneuploidy, indicated by DNA content variations, is prevalent in most multiple myeloma patients at diagnosis. Image analysis confirms aneuploidy, aiding in understanding disease pathogenesis.
Area of Science:
- Hematology
- Oncology
- Cytogenetics
Background:
- Multiple myeloma (MM) is a plasma cell malignancy.
- Accurate diagnosis and staging are crucial for treatment planning.
- Understanding cellular abnormalities like aneuploidy is key to MM pathogenesis.
Purpose of the Study:
- To determine the DNA content (DNA Index or DI) of plasma cells in multiple myeloma patients at diagnosis.
- To assess the prevalence and patterns of aneuploidy using computed image analysis.
- To correlate aneuploidy with cytogenetic findings and disease stage.
Main Methods:
- Feulgen reaction staining of plasma cells.
- Computed image analysis for DNA content determination (DNA Index).
- Cytogenetic studies to analyze mitosis abnormalities.
Main Results:
- Aneuploidy was detected in 87.0% of 46 multiple myeloma patients.
- Hyperdiploidy (58.7%) and hypodiploidy (24.0%) were the most common aneuploidies.
- Aneuploidy was observed in all patients (100%) in stage I, and in 55.6% (stage II) and 54.5% (stage III) of patients.
Conclusions:
- Computed image analysis is a sensitive method for detecting aneuploidy in multiple myeloma.
- Aneuploidy is common in MM patients at diagnosis across all stages.
- Further research is needed to establish the independent prognostic value of aneuploidy in MM.