Evidence map›Paper›PMID 29207054›Full record

ArticleInternational journal of molecular medicine2018

Use of methylation profiling to identify significant differentially methylated genes in bone marrow mesenchymal stromal cells from acute myeloid leukemia.

Jing Huang, Zhi Liu, Yufan Sun, Qi Zhong, Li Xu, Ruimin Ou, Cheng Li, Rui Chen, Mengdong Yao, Qing Zhang and 1 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in International journal of molecular medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.1field-weighted citation impact, top 48% 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, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Natural human genetic variation determines basal and inducible expression ofProceedings of the National Academy of Sciences of the United States of America · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Jing HuangDepartment of Hematology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong 510317, P.R. China.
Zhi LiuDepartment of Hematology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong 510317, P.R. China.
Yufan SunDepartment of Hematology, The First Hospital of Kashgar, Kashgar, Xinjiang 844000, P.R. China.
Qi ZhongDepartment of Hematology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong 510317, P.R. China.
Li XuDepartment of Hematology, The First Hospital of Kashgar, Kashgar, Xinjiang 844000, P.R. China.
Ruimin OuDepartment of Hematology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong 510317, P.R. China.
Cheng LiDepartment of Hematology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong 510317, P.R. China.
Rui ChenDepartment of Hematology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong 510317, P.R. China.
Mengdong YaoDepartment of Hematology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong 510317, P.R. China.
Qing ZhangDepartment of Hematology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong 510317, P.R. China.
Shuang LiuDepartment of Hematology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong 510317, P.R. China.
Guangdong Provincial People's Hospital · CNKashi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to characterize the epigenetic architecture by studying the DNA methylation signature in bone marrow mesenchymal stem cells (BM‑MSCs) from patients with acute myeloid leukemia (AML). Microarray dataset GSE79695 was downloaded from the Gene Expression Omnibus database. Differentially methylated sites and differentially methylated CpG islands were identified in BM‑MSC samples from patients with AML compared with controls. MicroRNAs (miRs) encoding genes covering differentially methylated sites were found and the regulation network was constructed. Pathway enrichment analysis of hypermethylated genes and hypomethylated genes was performed, followed by protein‑protein interaction (PPI) network construction. Moreover, the identified differentially methylated genes were compared with the leukemia‑related marker/therapeutic genes from the literature. Overall, 228 hypermethylated CpG site probes covering 183 gene symbols and 523 hypomethylated CpG sites probes covering 362 gene symbols were identified in the BM‑MSCs from AML patients. Furthermore, 4 genes with CpG island hypermethylation were identified, including peptidase M20 domain containing 1 (PM20D1). The hsa‑miR‑596‑encoding gene MIR596 was found to be hypermethylated and the regulation network based on hsa‑miR‑596 and its targets (such as cytochrome P450 family 1 subfamily B member 1) was constructed. Hypermethylated and hypomethylated genes were enriched in different Kyoto Encyclopedia of Genes and Genomes pathways, including 'hsa05221: Acute myeloid leukemia' and 'hsa05220: Chronic myeloid leukemia', which the hypomethylated gene mitogen‑activated protein kinase 3 (MAPK3) was involved in. In addition, MAPK3, lysine demethylase 2B and RAP1A, member of RAS oncogene family were hubs in the PPI network of methylated genes. In conclusion, PM20D1 with hypermethylation of CpG islands may be associated with the energy expenditure of patients with AML. Furthermore, the aberrantly hypermethylated miR‑159‑encoding gene MIR159 may be a potential biomarker of AML.

Indexed as

AmidohydrolasesBone Marrow CellsCpG IslandsDNA MethylationEpigenesis, GeneticFemaleGene Expression Regulation, NeoplasticHumansLeukemia, Myeloid, AcuteMaleMesenchymal Stem CellsMicroarray AnalysisMicroRNAsPromoter Regions, GeneticProtein Interaction MapsAmidohydrolasesMicroRNAs

Identifiers

PMID29207054
PMCPMC5752236
OpenAlexW2769144203

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.