Evidence map›Paper›PMID 32629683›Full record

ArticleMedicine2020

Microarray analysis of differentially expressed microRNAs in myelodysplastic syndromes.

Chengyao Wan, Jing Wen, Ying Huang, Hongying Li, Wenqi Wu, Qiongni Xie, Xiaolin Liang, Zhongyuan Tang, Weihua Zhao, Peng Cheng and 1 more

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 41% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Single-Nucleotide Polymorphisms in the 3' Untranslated Region ofFrontiers in cardiovascular medicine · 2021
    Article
  5. Potential Roles of miRNA-1245a Regulatory Networks in Sarcopenia.International journal of general medicine · 2021
    Article
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

11 authors at 3 institutions in 1 country.

Chengyao WanDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi.
Jing WenDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi.
Ying HuangDepartment of Hematology, Hainan General Hospital, Haikou, Hainan.
Hongying LiDepartment of Hematology, The First People's Hospital of Nanning, Nanning, Guangxi, China.
Wenqi WuDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi.
Qiongni XieDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi.
Xiaolin LiangDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi.
Zhongyuan TangDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi.
Weihua ZhaoDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi.
Peng ChengDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi.
Zhenfang LiuDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi.
First Affiliated Hospital of GuangXi Medical University · CNGuangxi Medical University · CNHainan General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur study aimed to analyze differential microRNA expression between myelodysplastic syndromes (MDS) and normal bone marrow, and to identify novel microRNAs relevant to MDS pathogenesis.

methodsMiRNA microarray analysis was used to profile microRNA expression levels in MDS and normal bone marrow. Quantitative real-time polymerase chain reaction was employed to verify differentially expressed microRNAs.

resultsMiRNA microarray analysis showed 96 significantly upregulated (eg, miR-146a-5p, miR-151a-3p, miR-125b-5p) and 198 significantly downregulated (eg, miR-181a-2-3p, miR-124-3p, miR-550a-3p) microRNAs in MDS compared with normal bone marrow. The quantitative real-time polymerase chain reaction confirmed the microarray analysis: expression of six microRNAs (miR-155-5p, miR-146a-5p, miR-151a-3p, miR-221-3p, miR-125b-5p, and miR-10a-5p) was significantly higher in MDS, while 3 microRNAs (miR-181a-2-3p, miR-124-3p, and miR-550a-3p) were significantly downregulated in MDS. Bioinformatics analysis demonstrated that differentially expressed microRNAs might participate in MDS pathogenesis by regulating hematopoiesis, leukocyte migration, leukocyte apoptotic process, and hematopoietic cell lineage.

conclusionsOur study indicates that differentially expressed microRNAs might play a key role in MDS pathogenesis by regulating potential relevant functional and signaling pathways. Targeting these microRNAs may provide new treatment modalities for MDS.

Indexed as

AdultAsian PeopleBone MarrowChinaFemaleGene Expression ProfilingHumansMaleMicroarray AnalysisMicroRNAsMiddle AgedMyelodysplastic SyndromesReal-Time Polymerase Chain ReactionMicroRNAs

Identifiers

PMID32629683
PMCPMC7337584
OpenAlexW3038934969

What OpenQuestion holds

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LicenceCC BY
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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.