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December 8, 2025BloodOpen Access

Peripheral blood-based single-cell and genomic profiling of hematopoietic stem and progenitor cells enables accurate diagnosis and risk stratification in myeloproliferative neoplasms

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STSigal Tavor

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Overview

Transcriptomic profiling predicts severity of myeloproliferative neoplasms, suggesting a non-invasive diagnostic advance.

Key Points

  • Accurate diagnosis of myeloproliferative neoplasms hinges on myeloproliferative biomarkers, with implications for clinical management.
  • Sensitivity at 92.6% and specificity of 95.4% highlight robust diagnostic performance in myeloproliferative neoplasms.
  • The observational analysis integrates single-cell RNA sequencing with genomic profiling in myeloproliferative neoplasms cases.
  • This new approach may enable precise risk stratification in myeloproliferative neoplasms, supporting timely interventions.

Cite This Study

Sigal Tavor (2025) studied this question.

synapsesocial.com/papers/69362f7f4fa91c937236e594https://doi.org/10.1182/blood-2025-5532
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Also Consider

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  1. 1Interim Results of the CMML scrna-seq atlas: GMP skewing is independently associated with overall survival in CMML.2025
  2. 2Functional annotation of MPN clones reveals mutation-specific fitness and fate bias2025
  3. 3Single cell long-read genotyping of transcriptomes reveals discrete mechanisms of clonal evolution in post-myeloproliferative neoplasm acute myeloid leukemia.2025 · 2 citations
  4. 4Beyond mutations: RNA editing deaminase activation as a dynamic marker to track stem cell fitness and MPN progression2025
  5. 5Exploring molecular heterogeneity and clonal evolution in chronic myelomonocytic leukemia via single-cell transcriptome sequencing2025