Evidence map›Paper›PMID 41892345›Full record

ReviewCells2026

Molecular and Functional Platelet Abnormalities in Myeloproliferative Neoplasms.

Ann X Wang, Belinda B Guo, Matthew D Linden

Abstract readReview
In one paragraph

Review in Cells, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ann X WangSchool of Biomedical Science, University of Western Australia, Perth, WA 6009, Australia.ORCID 0009-0000-4543-1646
Belinda B GuoSchool of Biomedical Science, University of Western Australia, Perth, WA 6009, Australia.ORCID 0000-0003-2146-8561
Matthew D LindenSchool of Biomedical Science, University of Western Australia, Perth, WA 6009, Australia.ORCID 0000-0002-9126-2166

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood platelets are derived from megakaryocytes with functions extending beyond hemostasis to inflammation, immunity, and cancer. Myeloproliferative neoplasms (MPNs) are clonal stem cell disorders driven by somatic mutations affecting JAK-STAT signaling, leading to excessive myeloid proliferation. Thrombosis affects approximately one-fifth of patients at diagnosis and remains elevated throughout the disease course, while the paradoxical coexistence of bleeding further complicates clinical management. In addition, MPNs may progress to advanced disease stages, including bone marrow fibrosis and transformation to acute myeloid leukemia, leading to ineffective hematopoiesis, worsening symptom burden, and poor clinical outcomes. This review outlines how peripherally circulating platelets provide a unique window into MPN pathophysiology, with emphasis on their functional and molecular abnormalities. We summarize current understanding of platelet-mediated hemostatic imbalance across MPN subtypes. We discuss the potential of platelet transcriptomics and proteomics to reveal disease-specific signatures. We further highlight emerging platelet-associated candidates with potential utility as dynamic biomarkers for both the pathological marrow niche and thrombotic and bleeding risk. Together, these insights underscore the potential of platelet-based approaches to complement existing diagnostic and prognostic strategies in MPNs.

Indexed as

Blood PlateletsMyeloproliferative DisordersAnimalsHumansMegakaryocytesbiomarkerhemostasismegakaryocytesmyelofibrosismyeloproliferative neoplasmsplatelet functionplatelet proteomeplateletsplatelet transcriptomethrombosis

Identifiers

PMID41892345
PMCPMC13024808

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.