Evidence map›Paper›PMID 33419230›Full record

ArticleInternational journal of molecular sciences2021

Identifying the miRNA Signature Association with Aging-Related Senescence in Glioblastoma.

Mutharasu Gnanavel, Akshaya Murugesan, Saravanan Konda Mani, Olli Yli-Harja, Meenakshisundaram Kandhavelu

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

5 authors at 2 institutions in 3 countries.

Mutharasu GnanavelBioMediTech Institute, Faculty of Medicine and Health Technology, Tampere University, ArvoYlpönkatu 34, 33520 Tampere, Finland.
Akshaya MurugesanBioMediTech Institute, Faculty of Medicine and Health Technology, Tampere University, ArvoYlpönkatu 34, 33520 Tampere, Finland.
Saravanan Konda ManiCenter for High Performance Computing, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.ORCID 0000-0002-5541-234X
Olli Yli-HarjaBioMediTech Institute, Faculty of Medicine and Health Technology, Tampere University, ArvoYlpönkatu 34, 33520 Tampere, Finland.
Meenakshisundaram KandhaveluBioMediTech Institute, Faculty of Medicine and Health Technology, Tampere University, ArvoYlpönkatu 34, 33520 Tampere, Finland.
Tampere University · FIChinese Academy of Sciences · CN

Funding

Center for International Mobilit, Finland TM-13-8898, KM-14-9107 and TM-15-9720Finnish cultural foundation 0116947-3
6 · The paper itself

Abstract

Glioblastoma (GBM) is the most common malignant brain tumor and its malignant phenotypic characteristics are classified as grade IV tumors. Molecular interactions, such as protein-protein, protein-ncRNA, and protein-peptide interactions are crucial to transfer the signaling communications in cellular signaling pathways. Evidences suggest that signaling pathways of stem cells are also activated, which helps the propagation of GBM. Hence, it is important to identify a common signaling pathway that could be visible from multiple GBM gene expression data. microRNA signaling is considered important in GBM signaling, which needs further validation. We performed a high-throughput analysis using micro array expression profiles from 574 samples to explore the role of non-coding RNAs in the disease progression and unique signaling communication in GBM. A series of computational methods involving miRNA expression, gene ontology (GO) based gene enrichment, pathway mapping, and annotation from metabolic pathways databases, and network analysis were used for the analysis. Our study revealed the physiological roles of many known and novel miRNAs in cancer signaling, especially concerning signaling in cancer progression and proliferation. Overall, the results revealed a strong connection with stress induced senescence, significant miRNA targets for cell cycle arrest, and many common signaling pathways to GBM in the network.

Indexed as

Gene Expression Regulation, NeoplasticAgingAlgorithmsBrain NeoplasmsGene Expression ProfilingGene OntologyGene Regulatory NetworksGlioblastomaHumansMicroRNAsModels, GeneticSignal TransductionMicroRNAsbiochemical pathwaysglioblastomamicroRNAmolecular signalingsenescence

Identifiers

PMID33419230
PMCPMC7825621
OpenAlexW3120186424

What OpenQuestion holds

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LicenceCC BY
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.