Evidence map›Paper›PMID 41959062›Full record

ArticlebioRxiv : the preprint server for biology2026

Platelets Outperform Leukocytes in Transcriptomic Liquid Biopsy Profiling of Myeloproliferative Neoplasms.

Zhu Shen, Abhishek Sawalkar, Jason Wu, Vanita Natu, Jesse Rowley, Matthew Rondina, Anandi Krishnan

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

7 authors.

Zhu ShenDepartment of Biostatistics, Harvard University, Cambridge, MA, USA.ORCID 0000-0003-4564-5438
Abhishek SawalkarDepartment of Biomedical Engineering and Rutgers Cancer Institute, Rutgers University, Piscataway, NJ, USA.ORCID 0009-0000-6030-424X
Jason WuInstitute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, USA.
Vanita NatuInstitute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, USA.
Jesse RowleyDepartment of Internal Medicine and Molecular Medicine Program, University of Utah, Salt Lake City, UT, USA.ORCID 0000-0003-4444-1724
Matthew RondinaDepartment of Internal Medicine and Molecular Medicine Program, University of Utah, Salt Lake City, UT, USA.ORCID 0000-0003-3455-3730
Anandi KrishnanInstitute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-0962-2215

Funding

Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
Translational Control of Megakaryocyte and Platelet Gene Expression in DiseaseR35HL145237 · NHLBI · UNIVERSITY OF UTAH · PI WEYRICH, ANDREW S · 2019 to 2025
$4.7M
Mitochondrial fusion protein MFN2 prevents platelet death and dysfunctionR01HL144957 · NHLBI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI JESSE ROWLEY · 2019 to 2026
$3.2M
Integrated Clinical and Transcriptomic Profiling to Characterize Disease PhenotypeK08HG010061 · NHGRI · STANFORD UNIVERSITY · PI KRISHNAN, ANANDI · 2018 to 2022
$955k
Platelet-Leukocyte Interactions in SepsisK24HL155856 · NHLBI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RONDINA, MATTHEW THOMAS · 2021 to 2025
$606k
Uncovering Cross-Disease Platelet Transcriptomic Signatures to Advance Precision MedicineR21HL181649 · NHLBI · RUTGERS, THE STATE UNIV OF N.J. · PI KRISHNAN, ANANDI · 2025 to 2025
$236k
NCATS NIH HHS UL1 TR001085NHGRI NIH HHS K08 HG010061NHLBI NIH HHS K24 HL155856NHLBI NIH HHS R01 HL144957NHLBI NIH HHS R21 HL181649NHLBI NIH HHS R35 HL145237
6 · The paper itself

Abstract

Myeloproliferative neoplasms (MPNs) are characterized by progressive myelofibrosis that drives morbidity and mortality. Liquid biopsy approaches to noninvasively monitor fibrotic progression remain limited. We performed comparative transcriptomic profiling of CD45-depleted platelet-enriched and CD45+ leukocyte-enriched fractions from matched peripheral blood samples of 76 individuals (27 primary myelofibrosis, 17 polycythemia vera, 14 essential thrombocythemia, 18 healthy controls). Platelet RNA sequencing was performed in 2018-2020 on Illumina HiSeq 4000, while WBC RNA sequencing was conducted in 2023 on Illumina NovaSeq 6000 from cryopreserved CD45+ enriched fractions of specimens obtained at the identical time and from the same blood sample as the platelet RNA. Despite comparable library preparation protocols and higher sequencing depth in WBC samples, platelet transcriptomes exhibited 5.1-fold more differential expression in myelofibrosis (3,453 versus 681 genes, adjusted p<0.05, |log2FC|>1). Platelet signatures were enriched for proteostasis pathways including endoplasmic reticulum stress and unfolded protein response, reflecting megakaryocyte dysfunction in the fibrotic bone marrow niche. WBC signatures predominantly featured immune activation and proliferative pathways, indicating systemic inflammatory responses. Multinomial LASSO classification demonstrated superior performance of platelet-based models for myelofibrosis diagnosis (AUROC 0.85) compared to WBC-based (AUROC 0.77) or clinical models (AUROC 0.59). Combined platelet+WBC models did not improve performance (AUROC 0.80), indicating complementary but non-additive information. These findings establish platelet transcriptomic profiling as a superior noninvasive biomarker platform for monitoring myelofibrosis in MPNs, capturing megakaryocyte-driven fibrogenesis with greater sensitivity than peripheral leukocyte-based approaches.

Identifiers

PMID41959062
PMCPMC13060154

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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.