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Updated: Jan 28, 2026

Flow Cytometry to Estimate Leukemia Stem Cells in Primary Acute Myeloid Leukemia and in Patient-derived-xenografts, at Diagnosis and Follow Up
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Spectrum and Immunophenotypic Profile of Acute Leukemia: A Tertiary Center Flow Cytometry Experience

Nishit Gupta1, Ravikiran Pawar1, Sambhunath Banerjee1

  • 1Department of Laboratory Hematology, Tata Medical Center, Kolkata.

Mediterranean Journal of Hematology and Infectious Diseases
|March 13, 2019
PubMed

Insights

Flow cytometry is crucial for diagnosing and sub-categorizing acute leukemias (AL). This study analyzed 631 AL cases, detailing the immunophenotypic spectrum and genetic correlations, particularly for T-cell acute lymphoblastic leukemia (T-ALL).

Area of Science:

  • Hematology
  • Immunophenotyping
  • Flow Cytometry
  • Oncology

Background:

  • Flow cytometry-based immunophenotypic analysis is essential for the diagnosis, sub-categorization, and monitoring of acute leukemia (AL).
  • Accurate classification of AL subtypes is critical for appropriate treatment strategies and patient management.

Purpose of the Study:

  • To retrospectively analyze the immunophenotypic spectrum of acute leukemias.
  • To correlate immunophenotypic findings with cytogenetic and molecular genetic data.
  • To provide data on leukemia subtypes, with a specific focus on T-cell acute lymphoblastic leukemia (T-ALL) in the Indian population.

Main Methods:

  • Retrospective analysis of immunophenotypic data from 631 consecutive acute leukemia cases diagnosed between January 2014 and August 2017.
  • Integration of cytogenetic and molecular genetics data where available.
  • Utilized flow cytometry laboratory diagnostics.

Main Results:

  • Acute lymphoblastic leukemia (ALL) accounted for 52.9% of cases, followed by acute myeloid leukemia (AML) at 43.9%.
  • B-cell ALL (81.7%) showed common cross-lineage antigen expression, including CD13 and CD33.
  • T-ALL (18.3%) frequently expressed CD13 aberrantly; AML cases showed CD19 and CD56 aberrancy.

Conclusions:

  • The study documents the immunophenotypic spectrum of various acute leukemias.
  • Correlations between immunophenotype and genetic data were established.
  • Provides valuable insights into T-ALL, addressing a scarcity of data from India.
Abstract

Keywords:
AMLAULB-ALLFLT3/NPM1cMPALT-ALL

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