Prognostic scoring model based on multi-drug resistance status and cytogenetics in adult patients with acute myeloid leukemia

Leuk Lymphoma. 2006 Mar;47(3):461-7. doi: 10.1080/10428190500331626.

Abstract

Clinical heterogenicity exists within an acute myeloid leukemia (AML) patient group with the same cytogenetic risk. Multi-drug resistance (MDR) is also regarded as one of the potential prognostic factors for AML. Accordingly, the prognostic scoring model can be generated based on both consideration of cytogenetic risk and the MDR status for AML. The CR rate, event-free (EFS) and overall survival (OS) were analysed according to cytogenetic risk, MDR status and clinical factors. Prognostic score was calculated by the sum of MDR status (0 for negative, 1 for positive) and dichotomized scoring for cytogenetic risk (0 for favorable/intermediate and 1 for unfavorable cytogenetics). MDR expression was noted in 36.6% of the patients and associated with a lower CR rate (p = 0.037). MDR, cytogenetics and the use of SCT were identified as independent prognostic factors for EFS and OS. The CR rate of the group scored with 0, 1 and 2 was 81.4, 66.7, and 44.4%, respectively (p = 0.050). The prognostic scoring model depicted a discriminating role in terms of EFS (p < 0.0001) and OS (p = 0.0001). The prognostic scoring model based on cytogenetic risk and MDR provided an improved method for evaluating the prognosis in AML and helped to stratify the risk of patients with the same cytogenetic risk.

Publication types

  • Clinical Trial

MeSH terms

  • Acute Disease
  • Adolescent
  • Adult
  • Aged
  • Antineoplastic Combined Chemotherapy Protocols / therapeutic use*
  • Cytogenetic Analysis
  • Drug Resistance, Multiple*
  • Drug Resistance, Neoplasm*
  • Female
  • Humans
  • Leukemia, Myeloid / diagnosis*
  • Leukemia, Myeloid / drug therapy*
  • Leukemia, Myeloid / genetics
  • Male
  • Middle Aged
  • Models, Statistical*
  • Multivariate Analysis
  • Predictive Value of Tests
  • Prognosis
  • Recurrence
  • Remission Induction
  • Risk Factors
  • Severity of Illness Index
  • Survival Analysis
  • Treatment Outcome