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Quantitative cytology in leukemia research.

B Barlogie, A M Maddox, D A Johnston

    Blood Cells
    |January 1, 1983
    PubMed
    Summary
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    Flow cytometry of bone marrow cells offers objective diagnosis and prognosis for acute leukemia patients. Analyzing RNA content and cell cycle kinetics aids in classifying subtypes and predicting treatment response.

    Area of Science:

    • Hematology
    • Oncology
    • Biotechnology

    Background:

    • Flow cytometry provides objective analysis of bone marrow cells.
    • Accurate diagnosis, classification, and prognosis are crucial for acute leukemia management.
    • Traditional methods may have limitations in heterogeneous marrow samples.

    Purpose of the Study:

    • To evaluate flow cytometric analysis of bone marrow for leukemia diagnosis, classification, and prognosis.
    • To explore DNA content, RNA content, and cytokinetic parameters for leukemia assessment.
    • To correlate flow cytometry findings with patient response to treatment.

    Main Methods:

    • Flow cytometric analysis of bone marrow cells from 264 adult acute leukemia patients.
    • Assessment of DNA content, nucleolar antigen density, and RNA content (acridine orange staining).

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  • Evaluation of cell cycle distribution, traverse rate, and growth fraction.

    • Main Results:

    • Abnormal DNA content detected in 15% of acute leukemia patients.
    • Significantly higher mean RNA content in Acute Myeloid Leukemia (AML) vs. Acute Lymphoblastic/Undifferentiated Leukemia (ALL/AUL).
    • Pretreatment S phase proportion differed between responding and non-responding AML and ALL/AUL patients. Serial RNA content predicted AML treatment response.

    Conclusions:

    • Quantitative cytologic examination via flow cytometry provides valuable diagnostic and prognostic information in acute leukemia.
    • Flow cytometry aids in stratifying patients with poor prognosis for targeted therapies.
    • Cell cycle and RNA content analysis can predict treatment outcomes and remission.