Skip to main navigation Skip to search Skip to main content

Non-invasive detection of bone marrow fibrosis in myeloproliferative neoplasms using cell-free RNA

  • Universitätsklinikum Aachen
  • Oncode Institute Rotterdam
  • University Hospital RWTH Aachen
  • West Cancer Center and Research Institute
  • University Hospital Essen
  • University Hospital Heidelberg

Research output: Contribution to journalArticleAcademicpeer-review

4 Downloads (Pure)

Abstract

Myeloproliferative neoplasms (MPNs), particularly with myelofibrosis (MF), involve a disrupted perivascular hematopoietic niche, ultimately leading to bone marrow fibrosis. We asked if the transcriptome in cell-free RNA (cf-RNA) from the peripheral blood of patients with MPN (with JAK2V617F mutation) can detect bone marrow fibrosis. Transcriptomic profiling revealed significant gene expression changes correlating with reticulin fibrosis grades. Advanced reticulin fibrosis grades (2–3) showed upregulation of TGF-β pathways and extracellular matrix (ECM) remodeling markers, with decreased hematopoietic support. Grade 3 fibrosis was associated with increased proliferation signals and elevated inflammatory markers (S100A8/9). RUNX1 was identified as a key transcription factor in fibrosis, with its overexpression driving myofibroblast differentiation in mesenchymal stromal cells. IL-18 emerged as a critical inflammatory mediator, with elevated plasma levels correlating with the transformation to high-grade fibrosis (reticulin grades 2–3). Functional assays confirmed that the IL-18 stimulation of mesenchymal stromal cells induced fibrotic transformation, emphasizing its role as a biomarker and target.

Original languageEnglish
Article number114325
JournaliScience
Volume29
Issue number1
DOIs
Publication statusPublished - 16 Jan 2026

Bibliographical note

Publisher Copyright:
© 2025 The Author(s)

Fingerprint

Dive into the research topics of 'Non-invasive detection of bone marrow fibrosis in myeloproliferative neoplasms using cell-free RNA'. Together they form a unique fingerprint.

Cite this