Evidence map›Paper›PMID 41226393›Full record

ArticleInternational journal of molecular sciences2025

Normal Hematopoietic Stem Cells in Leukemic Bone Marrow Environment Undergo Morphological Changes Identifiable by Artificial Intelligence.

Dongguang Li, Athena Li, Ngoc DeSouza, Shaoguang Li

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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
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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

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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

4 authors.

Dongguang LiDivision of Hematology/Oncology, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA.
Athena LiSchool of Arts and Sciences, Tufts University, Medford, MA 02155, USA.
Ngoc DeSouzaDivision of Hematology/Oncology, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA.
Shaoguang LiDivision of Hematology/Oncology, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA.ORCID 0000-0002-8947-9614

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leukemia stem cells (LSCs) in numerous hematologic malignancies are generally believed to be responsible for disease initiation, progression/relapse and resistance to chemotherapy. It has been shown that non-leukemic hematopoietic cells are affected molecularly and biologically by leukemia cells in the same bone marrow environment where both non-leukemic hematopoietic stem cells (HSCs) and LSCs reside. We believe the molecular and biological changes of these non-leukemic HSCs should be accompanied by the morphological changes of these cells. On the other hand, the quantity of these non-leukemic HSCs with morphological changes should reflect disease severity, prognosis and therapy responses. Thus, identification of non-leukemic HSCs in the leukemia bone marrow environment and monitoring of their quantity before, during and after treatments will potentially provide valuable information for correctly handling treatment plans and predicting outcomes. However, we have known that these morphological changes at the stem cell level cannot be extracted and identified by microscopic visualization with human eyes. In this study, we chose polycythemia vera (PV) as a disease model (a type of human myeloproliferative neoplasms derived from a hematopoietic stem cell harboring the

Indexed as

Artificial IntelligenceBone MarrowHematopoietic Stem CellsLeukemiaNeoplastic Stem CellsAnimalsDeep LearningHumansJanus Kinase 2MiceJanus Kinase 2artificial intelligencehematopoietic stem cellsleukemia stem cellspolycythemia vera

Identifiers

PMID41226393
PMCPMC12609910

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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.