CNL and aCML should be considered as a single entity based on molecular profiles and outcomes

Gonzalo Carreño-Tarragona1, Alberto Álvarez-Larrán2, Claire Harrison3

  • 1Hematology Department, Hospital Universitario 12 de Octubre, I+12, Centro Nacional de Investigaciones Oncológicas, Complutense University, Centro de Investigación Biomédica en Red de Oncología, Madrid, Spain.

Blood Advances
|November 14, 2022
PubMed

Insights

Chronic neutrophilic leukemia (CNL) and atypical chronic myeloid leukemia (aCML) are similar rare myeloid disorders. Molecular profiles suggest they are a disease continuum, with specific gene mutations impacting patient risk.

Area of Science:

  • Hematology
  • Oncology
  • Molecular Biology

Background:

  • Chronic neutrophilic leukemia (CNL) and atypical chronic myeloid leukemia (aCML) are rare myeloid neoplasms presenting diagnostic and management challenges.
  • Understanding their relationship is crucial for accurate classification and treatment strategies.

Purpose of the Study:

  • To investigate the clinical and molecular similarities and differences between CNL and aCML.
  • To identify prognostic molecular markers for risk stratification in these disorders.

Main Methods:

  • A multicenter international study analyzing a large case series of CNL (n=24) and aCML (n=37).
  • Comprehensive clinical data collection and mutational profiling of 53 cases.
  • Multivariate analysis to identify high-risk mutated genes.

Main Results:

  • No significant differences were observed in clinical presentation or outcomes between CNL and aCML.
  • Both entities share complex mutational profiles involving epigenetic, splicing, and signaling pathways.
  • CSF3R mutations are important, with CEBPA, EZH2, NRAS, and U2AF1 identified as high-risk mutations.

Conclusions:

  • CNL and aCML represent a disease continuum within myelodysplastic/myeloproliferative neoplasms.
  • Molecular profiling, particularly of CSF3R, CEBPA, EZH2, NRAS, and U2AF1, is essential for risk stratification.
  • Findings support a molecular-based classification for improved management of these rare leukemias.