Chronic myelogenous leukemia in blast crisis: retrospective analysis of prognostic factors in 90 patients

M Griesshammer1, B Heinze, A Hellmann

  • 1Department of Clinical Physiology, University of Ulm, Germany.

Annals of Hematology
|November 1, 1996
PubMed

Insights

Prognostic factors in Philadelphia chromosome-positive chronic myelogenous leukemia blast crisis were identified. Response to therapy and trisomy 8 were key predictors of survival in this aggressive leukemia subtype.

Area of Science:

  • Hematology
  • Oncology
  • Leukemia Research

Background:

  • Philadelphia chromosome-positive chronic myelogenous leukemia (Ph+ CML) in blast crisis has a poor prognosis.
  • Identifying prognostic factors is crucial for guiding treatment strategies.

Purpose of the Study:

  • To identify significant prognostic factors associated with survival in patients with Ph+ CML in blast crisis.
  • To evaluate the impact of clinical, laboratory, and cytogenetic data on patient outcomes.

Main Methods:

  • Retrospective review of 90 patients diagnosed with Ph+ CML in blast crisis.
  • Univariate and multivariate analyses of clinical, laboratory, and cytogenetic data.
  • Evaluation of patient response to therapy as a prognostic indicator.

Main Results:

  • Median survival was 11 weeks. Significant univariate prognostic factors for shorter survival included thrombocythemia, high leukocyte count, low Karnofsky index, nonlymphoid morphology, clonal evolution, specific cytogenetic abnormalities (double Philadelphia chromosome, trisomy 8), and lack of response to therapy.
  • Achieving remission significantly improved median survival (25 weeks vs. 9 weeks).
  • Multivariate analysis identified response to therapy and trisomy 8 as independent prognostic factors.

Conclusions:

  • Response to therapy and trisomy 8 are significant independent prognostic factors in Ph+ CML blast crisis.
  • Prognostic factor determination aids clinicians in planning therapy, particularly novel treatment approaches.
  • Despite poor overall survival, these factors can inform clinical decision-making.

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