Expression of the multidrug resistance P glycoprotein in newly diagnosed adult acute lymphoblastic leukemia: absence of correlation with response to treatment

Leukemia. 1995 Nov;9(11):1870-4.

Abstract

We analyzed P glycoprotein (PGP) expression and its correlation with hematological parameters and outcome in 50 cases of newly diagnosed adult acute lymphoblastic leukemia (ALL). PGP expression was evaluated by flow cytometry using MRK16 monoclonal antibody (MoAb) and/or immunocytochemistry on marrow slides, using JSB1 MoAb. Thirty-two of the 50 patients (64%) were PGP positive by at least one of the two methods, which gave concordant results in 15 of the 18 cases in which they were both used. No correlation between PGP expression and clinical and hematological parameters including WBC counts, immunophenotype and karyotype was seen, although there was a trend for more frequent CD34 expression in PGP-positive cases. All patients were treated with intensive chemotherapy. We found no difference in complete remission (CR) rate, actuarial disease-free survival and survival in PGP-positive and PGP-negative cases. Our findings suggest that the clinical significance of PGP expression is less clear in ALL than in AML. Wider use of functional techniques of evaluation of mdr1 gene expression, which assess the 'pumping' activity of PGP, and their correlation with quantitative analysis of mdr1 mRNA and protein, would probably improve knowledge of the role of PGP in ALL. Analysis of other mechanisms of drug resistance, especially multidrug resistance-associated protein (MRP) expression, would also be useful.

MeSH terms

  • ATP Binding Cassette Transporter, Subfamily B, Member 1 / metabolism*
  • Adult
  • Biomarkers
  • Female
  • Flow Cytometry
  • Humans
  • Immunoenzyme Techniques
  • Male
  • Precursor Cell Lymphoblastic Leukemia-Lymphoma / diagnosis
  • Precursor Cell Lymphoblastic Leukemia-Lymphoma / metabolism*
  • Prognosis
  • Survival Analysis

Substances

  • ATP Binding Cassette Transporter, Subfamily B, Member 1
  • Biomarkers