Evidence map›Paper›PMID 37653425›Full record

ArticleGenome biology2023

Single-cell transcriptomics reveals multiple chemoresistant properties in leukemic stem and progenitor cells in pediatric AML.

Yongping Zhang, Shuting Jiang, Fuhong He, Yuanyuan Tian, Haiyang Hu, Li Gao, Lin Zhang, Aili Chen, Yixin Hu, Liyan Fan and 12 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
15.4field-weighted citation impact, top 1% 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

37 citing papers in PubMed, 53 citations in OpenAlex.

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  16. A Network-Driven Framework for Drug Response Precision Prediction of Acute Myeloid Leukemia.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 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

22 authors at 4 institutions in 1 country.

Yongping Zhang *Department of Hematology and Oncology, Children's Hospital of Soochow University, Suzhou, 215025, China.
Shuting Jiang *CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
Fuhong He *CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
Yuanyuan Tian *Department of Hematology and Oncology, Children's Hospital of Soochow University, Suzhou, 215025, China.
Haiyang HuCAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
Li GaoDepartment of Hematology and Oncology, Children's Hospital of Soochow University, Suzhou, 215025, China.
Lin ZhangCAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
Aili ChenCAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
Yixin HuDepartment of Hematology and Oncology, Children's Hospital of Soochow University, Suzhou, 215025, China.
Liyan FanDepartment of Hematology and Oncology, Children's Hospital of Soochow University, Suzhou, 215025, China.
Chun YangInstitute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215025, China.
Bi ZhouSuZhou Hospital of Anhui Medical University, Suzhou, China.
Dan LiuCAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
Zihan ZhouCAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
Yanxun SuCAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
Lei QinCAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
Yi WangDepartment of Hematology and Oncology, Children's Hospital of Soochow University, Suzhou, 215025, China.
Hailong HeDepartment of Hematology and Oncology, Children's Hospital of Soochow University, Suzhou, 215025, China.
Jun LuDepartment of Hematology and Oncology, Children's Hospital of Soochow University, Suzhou, 215025, China.
Peifang XiaoDepartment of Hematology and Oncology, Children's Hospital of Soochow University, Suzhou, 215025, China.
Shaoyan HuDepartment of Hematology and Oncology, Children's Hospital of Soochow University, Suzhou, 215025, China. hsy139@126.com.
Qian-Fei WangCAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China. wangqf@big.ac.cn.ORCID http://orcid.org/0000-0002-0086-2626
Soochow University · CNChinese Academy of Sciences · CNAnhui Medical University · CNBeijing Institute of Genomics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer patients can achieve dramatic responses to chemotherapy yet retain resistant tumor cells, which ultimately results in relapse. Although xenograft model studies have identified several cellular and molecular features that are associated with chemoresistance in acute myeloid leukemia (AML), to what extent AML patients exhibit these properties remains largely unknown.

resultsWe apply single-cell RNA sequencing to paired pre- and post-chemotherapy whole bone marrow samples obtained from 13 pediatric AML patients who had achieved disease remission, and distinguish AML clusters from normal cells based on their unique transcriptomic profiles. Approximately 50% of leukemic stem and progenitor populations actively express leukemia stem cell (LSC) and oxidative phosphorylation (OXPHOS) signatures, respectively. These clusters have a higher chance of tolerating therapy and exhibit an enhanced metabolic program in response to treatment. Interestingly, the transmembrane receptor CD69 is highly expressed in chemoresistant hematopoietic stem cell (HSC)-like populations (named the CD69

conclusionsOur analysis reveals leukemia stem cell and OXPHOS as two major chemoresistant features in human AML patients. CD69 may serve as a potential biomarker in defining a subpopulation of chemoresistant leukemia stem cells. These findings have important implications for targeting residual chemo-surviving AML cells.

Indexed as

Leukemia, MyeloidTranscriptomeAdultChildGene Expression ProfilingHematopoietic Stem CellsHumansSignal TransductionAMLCD69Chemotherapy resistanceHSC-likeLeukemia stem cellOxidative phosphorylationResidual tumor cellSingle-cell RNA sequencing

Identifiers

PMID37653425
PMCPMC10472599
OpenAlexW4386331814

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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.