Halving Time of BCR-ABL1 in Chronic Myeloid Leukemia: Is It Better Than Day-90 Value-A Multicenter Study From South

Shashidhar V Karpurmath1, Arun Seshachalam2, Kalaiselvi Selvaraj3

  • 1Department of Medical Oncology, Vydehi Institute of Medical Sciences and Research Centre, Bengaluru, India.

Insights

The rate of decline in BCR-ABL1 levels, measured as halving time, is a more accurate predictor of molecular response in chronic myeloid leukemia (CML) patients than single 90-day values. This finding supports halving time as a promising prognostic tool for CML outcomes.

Area of Science:

  • Hematology
  • Oncology
  • Molecular Diagnostics

Background:

  • The 90-day BCR-ABL1 level is a standard milestone for predicting molecular response in chronic myeloid leukemia (CML).
  • The rate of BCR-ABL1 decline is a potentially better, yet less accepted, predictor.
  • Evidence for the rate of decline's accuracy in the Indian context is limited.

Purpose of the Study:

  • To evaluate the accuracy of BCR-ABL1 decline rate in predicting molecular response in CML patients.
  • To compare the predictive accuracy of BCR-ABL1 halving time versus single 90-day BCR-ABL1 values.
  • To assess the utility of BCR-ABL1 decline rate in the Indian population.

Main Methods:

  • Retrospective cohort study of CML patients diagnosed between 2013-2018.
  • Serial BCR-ABL1 levels measured at 0, 45, 90 days, 6 months, and 1 year.
  • Halving time calculated via log reduction and compared with 90-day BCR-ABL1 values using ROC curve analysis.

Main Results:

  • The rate of BCR-ABL1 decline demonstrated higher predictive accuracy (AUC 0.83) than 90-day values (AUC 0.80).
  • A halving time < 20 days identified 95% of patients achieving major molecular response at 12 months.
  • This contrasts with 80% identification rate using the single 90-day BCR-ABL1 response.

Conclusions:

  • BCR-ABL1 halving time shows significant promise as a predictor of treatment outcomes in CML.
  • This metric offers a more accurate assessment of molecular response compared to static 90-day levels.
  • Further validation in diverse populations is warranted.
Abstract

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