Evidence map›Paper›PMID 36879313›Full record

ArticleExperimental hematology & oncology2023

Characterization of bone marrow heterogeneity in NK-AML (M4/M5) based on single-cell RNA sequencing.

Wenqi Wu, Zeyan Shi, Zhongyuan Tang, Huiqun Li, Xiaoke Huang, Xiaolin Liang, Jing Li, Yibin Yao, Weihua Zhao, Meiqing Wu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Experimental hematology & oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.2field-weighted citation impact, top 4% of its field
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

7 citing papers in PubMed, 16 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Wenqi Wu *Department of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Zeyan Shi *Department of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Zhongyuan TangDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Huiqun LiDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Xiaoke HuangDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Xiaolin LiangDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Jing LiDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Yibin YaoDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Weihua ZhaoDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Meiqing WuDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Jun LuoDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Zhenfang LiuDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China. liuzhenfang@gxmu.edu.cn.
First Affiliated Hospital of GuangXi Medical University · CNGuangxi Medical University · CN

Funding

National Natural Science Foundation of China 82160039Scientific Research and Technology Development Program of Guangxi 2020055
6 · The paper itself

Abstract

Normal karyotype acute myeloid leukemia (NK-AML) is a heterogeneous hematological malignancy that contains a minor population of self-renewing leukemia stem cells (LSCs), which complicate efforts to achieve long-term survival. We performed single-cell RNA sequencing to profile 39,288 cells from 6 bone marrow (BM) aspirates including 5 NK-AML (M4/M5) patients and 1 healthy donor. The single-cell transcriptome atlas and gene expression characteristics of each cell population in NK-AML (M4/M5) and healthy BM were obtained. In addition, we identified a distinct LSC-like cluster with possible biomarkers in NK-AML (M4/M5) and verified 6 genes using qRT‒PCR and bioinformatic analyses. In conclusion, we utilized single-cell technologies to provide an atlas of NK-AML (M4/M5) cell heterogeneity, composition, and biomarkers with implications for precision medicine and targeted therapies.

Indexed as

HeterogeneityLeukemia stem cellNormal karyotype acute myeloid leukemiaSingle-cell RNA sequencing

Identifiers

PMID36879313
PMCPMC9987113
OpenAlexW4323314250

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Registered trials

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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.