Evidence map›Paper›PMID 28989535›Full record

ArticleOncology letters2017

Investigating the microRNA-mRNA regulatory network in acute myeloid leukemia.

Haiguo Zhang, Chengfang Zhang, Rui Feng, Haixia Zhang, Min Gao, Ling Ye

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Prognostic role of Wnt and Fzd gene families in acute myeloid leukaemia.Journal of cellular and molecular medicine · 2021
    Article
  7. Non-Coding RNA and Frizzled Receptors in Cancer.Frontiers in molecular biosciences · 2021
    Review
  8. Article
  9. Identification of Key Genes and Pathways Associated with RUNX1 Mutations in Acute Myeloid Leukemia Using Bioinformatics Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2018
    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

6 authors at 2 institutions in 1 country.

Haiguo ZhangDepartment of Hematology, Qilu Hospital, Shandong University, Jinan, Shandong 250012, P.R. China.
Chengfang ZhangDepartment of Clinical Laboratory, Jining No. 1 People's Hospital, Jining, Shandong 272011, P.R. China.
Rui FengDepartment of Hematology, Qilu Hospital, Shandong University, Jinan, Shandong 250012, P.R. China.
Haixia ZhangDepartment of Pharmacy, Yantai Yuhuangding Hospital, Yantai, Shandong 264000, P.R. China.
Min GaoDepartment of Clinical Laboratory, Jining No. 1 People's Hospital, Jining, Shandong 272011, P.R. China.
Ling YeDepartment of Hematology, Jining No. 1 People's Hospital, Jining, Shandong 272011, P.R. China.
Jining First People's Hospital · CNQilu Hospital of Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is a common myelogenous malignancy in adults that is often characterized by disease relapse. The pathophysiological mechanism of AML has not yet been elucidated. The present study aimed to identify the crucial microRNAs (miRNAs/miRs) and target genes in AML, and to uncover the potential oncogenic mechanism of AML. miRNA and mRNA expression-profiling microarray datasets were downloaded from the Gene Expression Omnibus database. Differential expression analysis was performed and a regulatory network between miRNAs and target genes was constructed. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were used to predict the biological functions of the differentially expressed genes. Reverse transcription-quantitative polymerase chain reaction analysis was employed to verify the expression levels of miRNAs and target genes in AML patient samples. A total of 86 differentially expressed miRNAs and 468 differentially expressed mRNAs between AML and healthy blood samples were identified. In total, 47 miRNAs and 401 mRNAs were found to be upregulated, and 39 miRNAs and 67 mRNAs were found to be downregulated in AML. A total of 223 miRNA-target genes pairs were subjected to the construction of a regulatory network. Differentially expressed target genes were significantly enriched in the Wnt signaling pathway (hsa04310), melanogenesis (hsa04916) and pathways in cancer (hsa05200). Significantly differentially expressed miRNAs and genes, including hsa-miR-155, hsa-miR-192, annexin A2 (

Indexed as

acute myeloid leukemiadifferential expressionmicroRNAregulatory networkreverse transcription-quantitative polymerase chain reactiontarget genes

Identifiers

PMID28989535
PMCPMC5620483
OpenAlexW2740765043

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.