Evidence map›Paper›PMID 40972808›Full record

ArticleExperimental hematology2025

A 30-gene classifier distinguishes low-risk MDS HSPCs from healthy HSPCs.

Pawan Bhat, Joseph C Van Amburg, Chad R Potts, Thomas J Gracie, Justin A Cartailler, Alyssa C Parker, Michael R Savona, Rui Lu, Stanley C Lee, Robert S Welner and 2 more

Abstract read
In one paragraph

Article in Experimental hematology, 2025. 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

12 authors.

Pawan BhatProgram in Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN.
Joseph C Van AmburgHuman Genetics Program, Vanderbilt University School of Medicine, Nashville, TN.
Chad R PottsDivision of Hematology/Oncology & Vanderbilt-Ingram Cancer Center, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.
Thomas J GracieDivision of Hematology/Oncology & Vanderbilt-Ingram Cancer Center, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.
Justin A CartaillerDivision of Hematology/Oncology & Vanderbilt-Ingram Cancer Center, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.
Alyssa C ParkerHuman Genetics Program, Vanderbilt University School of Medicine, Nashville, TN.
Michael R SavonaDivision of Hematology/Oncology & Vanderbilt-Ingram Cancer Center, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.
Rui LuDivision of Hematology/Oncology and O'Neal Comprehensive Cancer Center at the University of Alabama at Birmingham, Birmingham, AL.
Stanley C LeeTranslational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA.
Robert S WelnerDivision of Hematology/Oncology and O'Neal Comprehensive Cancer Center at the University of Alabama at Birmingham, Birmingham, AL.
Alexander G BickDivision of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.
Paul Brent FerrellDivision of Hematology/Oncology & Vanderbilt-Ingram Cancer Center, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN; Department of Veterans Affairs, Nashville Veterans Affairs Hospital, Tennessee Valley Health Care, Nashville, TN. Electronic address: brent.ferrell@vumc.org.

Funding

Vanderbilt Stimulating Access to Research in Residency (V-StARR)R38HL167237 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Michael R. DeBaun, Christopher S. Williams · 2023 to 2026
$1.8M
MEF2D-Mediated Transcriptional Control of Acute Myeloid LeukemiaR01CA259480 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Rui Lu · 2022 to 2026
$1.7M
Training Program on Genetic Variation and Human PhenotypesT32GM145734 · NIGMS · VANDERBILT UNIVERSITY · PI Jennifer Below, DAVID C SAMUELS · 2022 to 2026
$1.6M
Delineating Drivers of Inflammation and Progression in Clonal HematopoiesisR56DK138826 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI FERRELL, PAUL B · 2023 to 2023
$150k
BLRD VA I01 BX005991NCI NIH HHS R01 CA259480NHLBI NIH HHS R38 HL167237NIDDK NIH HHS R56 DK138826NIGMS NIH HHS T32 GM145734
6 · The paper itself

Abstract

Myelodysplastic syndromes (MDS) are a group of malignant clonal disorders that are characterized by functional impairment of hematopoiesis, morphologic dysplasia, and genetic heterogeneity. While less likely to transform to acute leukemia, lower-risk MDS (LR-MDS) include patients with IPSS-M moderate low risk, low risk, and very low risk patients and have a limited median survival of 3 to 10 years. Further, there is growing interest in discovering translational targets of LR-MDS pathophysiology. Clonal populations within the hematopoietic stem and progenitor (HSPC) to myeloid differentiation spectrum are widely considered to be a major contributor to MDS pathophysiology. A granular assessment of cell-type and lineage-specific states that contribute to LR-MDS pathophysiology remains to be elucidated. Here, we leverage single-cell transcriptomics to characterize cell states across the HSPC-myeloid differentiation landscape in LR-MDS. We develop a 30-gene score to classify LR-MDS HSPCs and identify novel molecular features of LR-MDS. The genes in our score suggest dysfunction in vesicular trafficking, which we further resolve across the myeloid differentiation axis. The gene products of vesicular trafficking-related pathways may be suitable translational targets for LR-MDS.

Indexed as

Hematopoietic Stem CellsMyelodysplastic SyndromesTranscriptomeAgedCell DifferentiationFemaleGene Expression ProfilingHumansMale

Identifiers

PMID40972808
PMCPMC12560787

What Socratic 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 Socratic graph.