Evidence map›Paper›PMID 30979371›Full record

ArticleMolecular cancer2019

Myeloid-derived suppressor cells endow stem-like qualities to multiple myeloma cells by inducing piRNA-823 expression and DNMT3B activation.

Lisha Ai, Shidai Mu, Chunyan Sun, Fengjuan Fan, Han Yan, You Qin, Guohui Cui, Yadan Wang, Tao Guo, Heng Mei and 2 more

Abstract read
In one paragraph

Article in Molecular cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed, 3 pooled it
–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

98 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  17. Chemically modified non-coding RNAs in cancer.Expert reviews in molecular medicine · 2025
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38 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

12 authors.

Lisha AiInstitute of Hematology, Union Hospital,Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Shidai MuInstitute of Hematology, Union Hospital,Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Chunyan SunInstitute of Hematology, Union Hospital,Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Fengjuan FanInstitute of Hematology, Union Hospital,Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Han YanInstitute of Hematology, Union Hospital,Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
You QinCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Guohui CuiInstitute of Hematology, Union Hospital,Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Yadan WangInstitute of Hematology, Union Hospital,Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Tao GuoInstitute of Hematology, Union Hospital,Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Heng MeiInstitute of Hematology, Union Hospital,Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Huafang WangInstitute of Hematology, Union Hospital,Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Yu HuInstitute of Hematology, Union Hospital,Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. dr_huyu@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMyeloid-derived suppressor cells (MDSCs) and cancer stem cells (CSCs) are two important cellular components in the tumor microenvironment, which may modify the cancer phenotype and affect patient survival. However, the crosstalk between MDSCs and multiple myeloma stem cells (MMSCs) are relatively poorly understood.

methodsThe frequencies of granulocytic-MDSCs (G-MDSCs) in MM patients were detected by flow cytometry and their association with the disease stage and patient survival were analyzed. RT-PCR, flow cytometry, western blot and sphere formation assays were performed to investigate the effects of G-MDSCs, piRNA-823 and DNA methylation on the maintenance of stemness in MM. Then a subcutaneous tumor mouse model was constructed to analyze tumor growth and angiogenesis after G-MDSCs induction and/or piRNA-823 knockdown in MM cells.

resultsOur clinical dataset validated the association between high G-MDSCs levels and poor overall survival in MM patients. In addition, for the first time we showed that G-MDSCs enhanced the side population, sphere formation and expression of CSCs core genes in MM cells. Moreover, the mechanism study showed that G-MDSCs triggered piRNA-823 expression, which then promoted DNA methylation and increased the tumorigenic potential of MM cells. Furthermore, silencing of piRNA-823 in MM cells reduced the stemness of MMSCs maintained by G-MDSCs, resulting in decreased tumor burden and angiogenesis in vivo.

conclusionAltogether, these data established a cellular, molecular, and clinical network among G-MDSCs, piRNA-823, DNA methylation and CSCs core genes, suggesting a new anti-cancer strategy targeting both G-MDSCs and CSCs in MM microenvironment.

Indexed as

Gene Expression Regulation, NeoplasticAnimalsAntagomirsCell CommunicationCell Line, TumorDNA (Cytosine-5-)-MethyltransferasesDNA MethylationDNA Methyltransferase 3BFemaleGranulocytesHumansMaleMiceMice, NudeMultiple MyelomaMyeloid-Derived Suppressor CellsAntagomirsDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3BNeoplasm ProteinsRNA, Small InterferingCancer stem cellsDNA methylationMultiple myelomaMyeloid-derived suppressor cellspiRNA

Identifiers

PMID30979371
PMCPMC6461814

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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.