Evidence map›Paper›PMID 37591615›Full record

ArticleCancer science2023

Single-cell RNA-seq reveals a microenvironment and an exhaustion state of T/NK cells in acute myeloid leukemia.

Zhiyong Zhang, Cong Deng, Pei Zhu, Danlin Yao, Jinlong Shi, Tiansheng Zeng, Wenhui Huang, Zeyong Huang, Zhihua Wu, Junyi Li and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
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  6. CAR-T cell therapy for cancer: current challenges and future directions.Signal transduction and targeted therapy · 2025
    Review
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  11. A CD8International journal of genomics · 2025
    Article
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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.

Zhiyong ZhangDepartment of Hematology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China.
Cong DengDepartment of Hematology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China.
Pei ZhuDepartment of Hematology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China.
Danlin YaoDepartment of Hematology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China.
Jinlong ShiKey Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, People's Republic of China.
Tiansheng ZengDepartment of Hematology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China.
Wenhui HuangDepartment of Hematology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China.
Zeyong HuangDepartment of Hematology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China.
Zhihua WuDepartment of Hematology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China.
Junyi LiDepartment of Hematology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China.
Min XiaoDepartment of Hematology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China.
Lin FuDepartment of Hematology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China.ORCID https://orcid.org/0000-0002-2416-7572
Second Affiliated Hospital of Guangzhou Medical University · CNChinese PLA General Hospital · CN

Funding

National Natural Science Foundation of China-Xinjiang Joint Fund U1903117
6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is a heterogeneous blood cancer. Effective immunotherapies for AML are hindered by a lack of understanding of the tumor microenvironment (TME). Here, we retrieved published single-cell RNA sequencing data for 128,688 cells derived from 29 bone marrow aspirates, including 21 AML patients and eight healthy donors. We established a global tumor ecosystem including nine main cell types. Myeloid, T, and NK cells were further re-clustered and annotated. Developmental trajectory analysis indicated that exhausted CD8

Indexed as

Killer Cells, NaturalLeukemia, Myeloid, AcuteTumor MicroenvironmentCD8-Positive T-LymphocytesFemaleHumansMaleMiddle AgedRNA-SeqSingle-Cell AnalysisSingle-Cell Gene Expression Analysisacute myeloid leukemiaNK-cell exhaustionsingle-cell RNA sequencingT-cell exhaustiontumor microenvironment

Identifiers

PMID37591615
PMCPMC10551605
OpenAlexW4385968990

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.