Evidence map›Paper›PMID 33648605›Full record

ArticleBiomarker research2021

Single-cell map of diverse immune phenotypes in the acute myeloid leukemia microenvironment.

Rongqun Guo, Mengdie Lü, Fujiao Cao, Guanghua Wu, Fengcai Gao, Haili Pang, Yadan Li, Yinyin Zhang, Haizhou Xing, Chunyan Liang and 9 more

Abstract read
In one paragraph

Article in Biomarker research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing 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

71 citing papers in PubMed.

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  14. Abnormal metabolic activation of CD8Journal of translational medicine · 2025
    Article
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  17. Review
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11 more citing papers are in PubMed but not listed here.

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

19 authors.

Rongqun GuoDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.ORCID http://orcid.org/0000-0002-1238-4772
Mengdie LüJoint National Laboratory for Antibody Drug Engineering, Key Laboratory of Cellular and Molecular Immunology of Henan Province, Institute of Translational Medicine, School of Basic Medicine, Henan University, Kaifeng, Henan, China.
Fujiao CaoDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Guanghua WuThe Academy of Medical Science, College of Medical, Zhengzhou University, Zhengzhou, Henan, China.
Fengcai GaoDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Haili PangDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yadan LiThe Academy of Medical Science, College of Medical, Zhengzhou University, Zhengzhou, Henan, China.
Yinyin ZhangDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Haizhou XingDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Chunyan LiangDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Tianxin LyuThe Academy of Medical Science, College of Medical, Zhengzhou University, Zhengzhou, Henan, China.
Chunyan DuLaboratory Animal Center, School of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China.
Yingmei LiDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Rong GuoDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Xinsheng XieDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Wei LiDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China. zlyylw3028@zzu.edu.cn.
Delong LiuDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China. delong_liu@nymc.edu.
Yongping SongDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China. songyongping001@163.com.
Zhongxing JiangDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China. jiangzx@zzu.edu.cn.

Funding

Key Research and Development and Promotion Project of Henan province NoPostdoctoral Research Start-up Funding of Henan Province NoPostdoctoral Research Start-up Funding of the First Affiliated Hospital of Zhengzhou University NoScience and Technology Department of Henan Province (CN) No. 201701004
6 · The paper itself

Abstract

backgroundKnowledge of immune cell phenotypes, function, and developmental trajectory in acute myeloid leukemia (AML) microenvironment is essential for understanding mechanisms of evading immune surveillance and immunotherapy response of targeting special microenvironment components.

methodsUsing a single-cell RNA sequencing (scRNA-seq) dataset, we analyzed the immune cell phenotypes, function, and developmental trajectory of bone marrow (BM) samples from 16 AML patients and 4 healthy donors, but not AML blasts.

resultsWe observed a significant difference between normal and AML BM immune cells. Here, we defined the diversity of dendritic cells (DC) and macrophages in different AML patients. We also identified several unique immune cell types including T helper cell 17 (TH17)-like intermediate population, cytotoxic CD4

conclusionOur results provide a comprehensive AML BM immune cell census, which can help to select pinpoint targeted drug and predict efficacy of immunotherapy.

Indexed as

Acute myeloid leukemiaBone marrowImmune cellsImmune phenotypesMicroenvironmentMyeloid cellsSingle-cell RNA sequencingT lymphocytes

Identifiers

PMID33648605
PMCPMC7919996

What OpenQuestion holds

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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.