Non-invasive multiparametric characterization of essential thrombocythemia, premyelofibrosis, and overt myelofibrosis

Carole Mosnier1,2, Marie-Christine Copin1,3, Isabelle Quintin-Roué4

  • 1Univ Angers, Nantes Université, CHU Angers, Inserm, CNRS, CRCI2NA, F-49000, Angers, France.

Leukemia
|August 4, 2026
PubMed

Insights

Non-invasive markers can differentiate myeloproliferative neoplasms (MPN). This study identified inflammatory and immune markers to distinguish primary overt myelofibrosis (PMF) from essential thrombocythemia (ET) and prefibrotic myelofibrosis (preMF).

Area of Science:

  • Hematology
  • Oncology
  • Molecular Biology

Background:

  • The 2016 World Health Organization (WHO) classification defined prefibrotic myelofibrosis (preMF) as distinct from essential thrombocythemia (ET) and primary overt myelofibrosis (PMF).
  • Accurate differentiation between these myeloproliferative neoplasms (MPN) can be challenging.
  • Non-invasive parameters have shown promise in distinguishing ET from PMF.

Purpose of the Study:

  • To prospectively evaluate non-invasive parameters for differentiating ET, preMF, and PMF.
  • To assess the diagnostic potential of inflammatory mediators, immune activation markers, and matrix regulators.

Main Methods:

  • Prospective evaluation of 128 patients (44 ET, 53 preMF, 21 PMF).
  • Analysis of mutational landscape complexity.
  • Measurement of differential expression of specific inflammatory mediators, immune markers, and matrix regulators.
  • Application of a two-step Lasso regression strategy with internal bootstrap validation.

Main Results:

  • Mutational landscape complexity increased from ET to preMF and PMF.
  • Significant differences in inflammatory mediators (e.g., IL-6, S100A8/S100A9), immune markers (e.g., CD25, CXCL10), and matrix regulators (e.g., YLK-40, TIMP1) were observed between ET and PMF, and similarly between preMF and PMF.
  • The Lasso regression model reliably identified PMF (AUC: 0.909) and showed reasonable discrimination between ET and preMF (AUC: 0.762).

Conclusions:

  • Non-invasive parameters effectively discriminate PMF and aid in distinguishing preMF from ET.
  • The findings support a pathophysiological continuum between these MPN entities.
  • These markers offer potential for improved non-invasive diagnosis of MPN subtypes.

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