Molecular characterization and biomarker identification in paediatric B-cell acute lymphoblastic leukaemia

Yu Du1, Xiankai Zhang2, Ming Sun3

  • 1Department of Hematology, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.

Insights

This study reveals that analyzing circulating tumor DNA (ctDNA) alongside bone marrow (BM) in pediatric B-cell acute lymphoblastic leukemia (B-ALL) can predict treatment response and prognosis, aiding in better patient management.

Area of Science:

  • Pediatric Oncology
  • Hematologic Malignancies
  • Molecular Diagnostics

Background:

  • B-cell acute lymphoblastic leukemia (B-ALL) is a major childhood cancer with significant heterogeneity and relapse rates.
  • Effective management strategies are crucial for improving outcomes in pediatric B-ALL patients.

Purpose of the Study:

  • To characterize the molecular landscape of pediatric B-ALL.
  • To evaluate the clinical utility of circulating tumor DNA (ctDNA) for prognosis and treatment monitoring.
  • To identify novel genetic alterations and their clinical implications.

Main Methods:

  • Next-generation sequencing (NGS) of bone marrow (BM) and plasma samples from 146 pediatric B-ALL patients.
  • RNA sequencing to identify gene fusions.
  • Minimal residual disease (MRD) assessment on day 19 of induction therapy.

Main Results:

  • Identified 37 novel gene fusions, including KMT2A-TRIM29, in 61% of patients.
  • Higher mutation counts and variant allele frequency in baseline BM correlated with poorer chemotherapy response.
  • MRD-negative status was linked to immune pathway activation and increased CD8+ T cell infiltration.
  • Plasma ctDNA showed high concordance with BM mutations and predicted chemotherapy efficacy.

Conclusions:

  • ctDNA analysis provides valuable prognostic information in pediatric B-ALL.
  • Combined ctDNA and BM profiling can enhance treatment strategy and patient management.
  • Molecular characterization aids in understanding B-ALL heterogeneity and relapse risk.

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