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August 3, 2026LeukemiaOpen Access

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

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Authors

CMCarole MosnierCentre National de la Recherche ScientifiqueMCMC CopinCentre Hospitalier Universitaire d'AngersIQIsabelle Quintin‐RouéCentre National de la Recherche Scientifique

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Overview

Randomized trial evaluates non-invasive parameters to differentiate myelofibrosis types, suggesting diagnostic improvement.

Key Points

  • The study aims to evaluate non-invasive parameters that can differentiate essential thrombocythemia from various forms of myelofibrosis.
  • Prospective evaluation of non-invasive parameters in 128 patients (44 ET, 53 preMF, 21 PMF).
  • Used two-step Lasso regression strategy for patient classification with internal bootstrap validation.
  • Analyzed differential expression of inflammatory and immune activation markers.
  • Differential expression of inflammatory mediators was observed between ET and PMF with significant findings for IL-1RA, IL-1β, and others.
  • PMF identification achieved an AUC of 0.909 for diagnostic accuracy.
  • Distinction between ET and preMF showed reasonable discrimination with an AUC of 0.762.

Cite This Study

Mosnier et al. (2026) studied this question.

synapsesocial.com/papers/6a72ad3f84cc45bb7be0276dhttps://doi.org/10.1038/s41375-026-03088-w
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Also Consider

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  1. 1A Proteomics-Driven Machine Learning Tool for Distinguishing ET from pre-PMF2025
  2. 2A lasso and random forest model using flow cytometry data identifies primary myelofibrosis2024 · 1 citations
  3. 3Multi-omics differences in the bone marrow between essential thrombocythemia and prefibrotic primary myelofibrosis2024 · 1 citations
  4. 4Proteomic analysis identifying biomarkers in the progression from essential thrombocythemia to post-essential thrombocythemia myelofibrosis: A retrospective cohort study2025
  5. 5Prefibrotic myelofibrosis: recent updates in diagnosis, prognostication, and management 20262026