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Flow Cytometry Based MRD and Its Impact on Survival Outcome in Children and Young Adults with ALL: A Prospective

Soumya Surath Panda1, Venkatraman Radhakrishnan2, Prasanth Ganesan2

  • 12Department of Medical Oncology, IMS and SUM Hospital, Siksha O Anusandhan University, Bhubaneswar, Odisha India.

Insights

Minimal residual disease (MRD) detection post-chemotherapy in acute lymphoblastic leukemia (ALL) is crucial. This study established a flow cytometry assay in India, finding MRD correlates with prognostic factors, though survival outcomes were not statistically significant in this cohort.

Area of Science:

  • Hematology
  • Oncology
  • Immunology

Background:

  • Minimal residual disease (MRD) is a key predictor of relapse in acute lymphoblastic leukemia (ALL).
  • Data on MRD and outcomes in Indian ALL patients are limited.
  • Establishing reliable MRD detection methods is vital for patient management.

Purpose of the Study:

  • To establish a flow cytometry-based MRD assay for ALL in India.
  • To determine the frequency of MRD on day 35 of induction therapy.
  • To correlate MRD status with patient outcomes and prognostic factors.

Main Methods:

  • Prospective study of 92 ALL patients (<25 years) achieving complete remission.
  • Bone marrow samples analyzed on day 35 using six-color flow cytometry.
  • MRD detection based on leukemia-associated immunophenotypes.

Main Results:

  • 40.2% of patients (37/92) had detectable MRD on day 35.
  • MRD presence was significantly associated with T-cell phenotype (p<0.001).
  • No significant association found between MRD and age, gender, hyperleukocytosis, or day 8 blast clearance.
  • 5-year event-free survival (EFS) and overall survival (OS) were lower in MRD-positive patients, but not statistically significant.

Conclusions:

  • Flow cytometry is effective for monitoring MRD in ALL patients.
  • MRD detection on day 35 correlates with specific prognostic factors in ALL.
  • While trends suggest poorer outcomes for MRD-positive patients, larger studies are needed to confirm statistical significance.

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