Expression of aberrant CD markers in acute leukemia: a study of 100 cases with immunophenotyping by multiparameter

Anupam Sarma1, Munlima Hazarika2, Debabrata Das3

  • 1Department of Pathology, Dr. B. Borooah Cancer Institute, Guwahati, India.

Insights

Aberrant phenotypes are common in acute leukemia patients in North East India, affecting a majority of acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) cases. This highlights the importance of immunophenotyping for diagnosis and potential therapeutic targets.

Area of Science:

  • Hematology
  • Immunology
  • Oncology

Background:

  • Acute leukemia is a diverse group of blood cancers with varied phenotypes.
  • Immunophenotyping via flow cytometry is crucial for diagnosing myeloid and lymphoid subtypes.
  • The incidence of aberrant phenotypes in acute leukemia is debated, with inconsistent findings across studies.

Purpose of the Study:

  • To investigate the frequency of aberrant phenotypes in acute leukemia patients from North East India.
  • To contribute data on the diagnostic utility of immunophenotyping in this specific population.

Main Methods:

  • Analysis of 100 acute leukemia cases (36 AML, 61 ALL, 3 MPAL) using multiparametric flow cytometry.
  • Utilized an acute panel of monoclonal antibodies (MoAbs) to identify myeloid and lymphoid lineage antigens.
  • Focused on detecting differentiation-associated antigens.

Main Results:

  • Aberrant phenotypes were observed in 58.3% of AML, 59.2% of B-ALL, and 66.7% of T-ALL cases.
  • CD7 was the most frequent lymphoid antigen in AML (33%), while CD117 was the most common myeloid antigen in ALL (54%).
  • Aberrant CD117 expression in ALL showed high statistical significance (P<0.0001).

Conclusions:

  • A significant majority of acute leukemia patients in North East India exhibit aberrant phenotypes.
  • These findings underscore the prevalence of immunophenotypic variations in this population.
  • Future research will explore the correlation of these aberrant markers with prognosis and treatment outcomes.
Abstract

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