Evidence map›Paper›PMID 37389689›Full record

ArticleMetabolic brain disease2023

Sequencing and Bioinformatics analysis of lncRNA/circRNA-miRNA-mRNA in Glioblastoma multiforme.

Renjie Wang, Qi Li, Xiaolei Chu, Nan Li, Haiqian Liang, Feng He

Abstract read
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In one paragraph

Article in Metabolic brain disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Circular RNAs: the next level of gene regulation.American journal of translational research · 2023
    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.

Renjie Wang *Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China.
Qi Li *Tianjin Hospital, Tianjin University, Tianjin, 300050, China.
Xiaolei Chu *Tianjin Hospital, Tianjin University, Tianjin, 300050, China.
Nan LiDepartment of Neurosurgery, Characteristic Medical Center of Chinese People's Armed Police Force, Tianjin, 300162, China.
Haiqian LiangDepartment of Neurosurgery, Characteristic Medical Center of Chinese People's Armed Police Force, Tianjin, 300162, China. lianghaiqian711@163.com.ORCID 0000-0001-6842-3841
Feng HeAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China. heaven@tju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence suggests that non-coding RNAs have a role in glioblastoma multiforme (GBM), although the regulatory mechanisms controlled by competing endogenous RNAs (ceRNAs) in GBM are still poorly understood and infrequently described. This research extensively analyzed circRNA, lncRNA, miRNA, and mRNA expression changes in GBM patients. RNA-sequencing analyses were conducted to investigate differentially expressed genes (DEGs), lncRNAs (DELs), miRNAs (DEMs), and circRNAs (DECs) in the GBM. In this study, researchers found that GBM patients and healthy controls differed in the presence of 1224 DECs, 1406 DELs, 229 DEMs, and 2740 DEGs. PPI network analysis demonstrated that CEACAM5, CXCL17, FAM83A, TMPRSS4, and GGPRC5A were hub genes and enriched in modules. Then a ceRNA network was constructed with 8 circRNA, 7 lncRNAs, 16 miRNAs, and 17 mRNAs. Overall, the ceRNA interaction axes that were found may prove to be pivotal therapeutic targets for treating GBM.

Indexed as

GlioblastomaMicroRNAsRNA, Long NoncodingComputational BiologyGene Regulatory NetworksHumansNeoplasm ProteinsRNA, CircularRNA, MessengerFAM83A protein, humanMicroRNAsNeoplasm ProteinsRNA, CircularRNA, Long NoncodingRNA, MessengerBioinformaticsceRNAGBMlncRNA/circRNA-miRNA-mRNARNA-sequencing

Identifiers

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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.