Exploiting Clonal Evolution to Improve the Diagnosis and Treatment Efficacy Prediction in Pediatric AML

Salvatore Nicola Bertuccio1, Laura Anselmi1, Riccardo Masetti2

  • 1Pediatric Oncology and Hematology "Lalla Seràgnoli", Pediatric Unit-Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40126 Bologna, Italy.

Cancers
|April 30, 2021
PubMed

Insights

Pediatric acute myeloid leukemia (AML) shows significant genetic heterogeneity, influencing relapse risk. Understanding clonal evolution and utilizing innovative tools can improve diagnosis and guide targeted therapies for better outcomes.

Area of Science:

  • Pediatric Hematology Oncology
  • Cancer Genomics
  • Molecular Diagnostics

Background:

  • Acute myeloid leukemia (AML) is a primary cause of cancer-related death in children.
  • Despite treatment advances, approximately 30% of pediatric AML patients relapse, often with poor chemotherapy response.
  • Genetic heterogeneity in AML contributes to varying treatment susceptibility and relapse risk.

Purpose of the Study:

  • To review the genetic heterogeneity of pediatric AML and its link to relapse.
  • To highlight innovative tools for subclone characterization and preclinical drug screening.
  • To discuss the potential of targeted therapies for improving pediatric AML prognosis and reducing treatment toxicity.

Main Methods:

  • Review of current literature on pediatric AML genetics and clonal evolution.
  • Discussion of high-throughput techniques for molecular profiling.
  • Exploration of preclinical models for drug development.

Main Results:

  • Pediatric AML is characterized by significant genetic diversity, with distinct subclones.
  • Specific molecular profiles are associated with differential responses to conventional chemotherapy.
  • Clonal evolution plays a critical role in disease relapse.

Conclusions:

  • Understanding AML genetic heterogeneity is crucial for improving diagnosis and predicting treatment efficacy.
  • Innovative diagnostic tools and preclinical models can aid in developing more effective therapies.
  • Targeted therapies hold promise for improving survival rates and minimizing side effects in pediatric AML.