Evidence map›Paper›PMID 31322245›Full record

ArticleOncology reports2019

The analysis of miRNA expression profiling datasets reveals inverse microRNA patterns in glioblastoma and Alzheimer's disease.

Saverio Candido, Gabriella Lupo, Manuela Pennisi, Maria S Basile, Carmelina D Anfuso, Maria C Petralia, Giuseppe Gattuso, Silvia Vivarelli, Demetrios A Spandidos, Massimo Libra and 1 more

Abstract read
In one paragraph

Article in Oncology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 2 pooled it
–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

66 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  4. Role of Specific miRNA Expression and Nuclear Kappa B Gene Polymorphism as Potential Diagnostic Markers for Chronic Myeloid Leukemia.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2026
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6 more citing papers are in PubMed but not listed here.

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.

Saverio CandidoDepartment of Biomedical and Biotechnological Sciences, University of Catania, I‑95123 Catania, Italy.
Gabriella LupoDepartment of Biomedical and Biotechnological Sciences, University of Catania, I‑95123 Catania, Italy.
Manuela PennisiDepartment of Biomedical and Biotechnological Sciences, University of Catania, I‑95123 Catania, Italy.
Maria S BasileDepartment of Biomedical and Biotechnological Sciences, University of Catania, I‑95123 Catania, Italy.
Carmelina D AnfusoDepartment of Biomedical and Biotechnological Sciences, University of Catania, I‑95123 Catania, Italy.
Maria C PetraliaDepartment of Biomedical and Biotechnological Sciences, University of Catania, I‑95123 Catania, Italy.
Giuseppe GattusoDepartment of Biomedical and Biotechnological Sciences, University of Catania, I‑95123 Catania, Italy.
Silvia VivarelliDepartment of Biomedical and Biotechnological Sciences, University of Catania, I‑95123 Catania, Italy.
Demetrios A SpandidosLaboratory of Clinical Virology, Medical School, University of Crete, 71003 Heraklion, Greece.
Massimo LibraDepartment of Biomedical and Biotechnological Sciences, University of Catania, I‑95123 Catania, Italy.
Luca FalzoneDepartment of Biomedical and Biotechnological Sciences, University of Catania, I‑95123 Catania, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is recent evidence to indicate the existence of an inverse association between the incidence of neurological disorders and cancer development. Concurrently, the transcriptional pathways responsible for the onset of glioblastoma multiforme (GBM) and Alzheimer's disease (AD) have been found to be mutually exclusive between the two pathologies. Despite advancements being made concerning the knowledge of the molecular mechanisms responsible for the development of GBM and AD, little is known about the identity of the microRNA (miRNAs or miRs) involved in the development and progression of these two pathologies and their possible inverse expression patterns. On these bases, the aim of the present study was to identify a set of miRNAs significantly de‑regulated in both GBM and AD, and hence to determine whether the identified miRNAs exhibit an inverse association within the two pathologies. For this purpose, miRNA expression profiling datasets derived from the Gene Expression Omnibus (GEO) DataSets and relative to GBM and AD were used. Once the miRNAs significantly de‑regulated in both pathologies were identified, DIANA‑mirPath pathway prediction and STRING Gene Ontology enrichment analyses were performed to establish their functional roles in each of the pathologies. The results allowed the identification of a set of miRNAs found de‑regulated in both GBM and AD, whose expression levels were inversely associated in the two pathologies. In particular, a strong negative association was observed between the expression levels of miRNAs in GBM compared to AD, suggesting that although the molecular pathways behind the development of these two pathologies are the same, they appear to be inversely regulated by miRNAs. Despite the identification of this set of miRNAs which may be used for diagnostic, prognostic and therapeutic purposes, further functional in vitro and in vivo evaluations are warranted in order to validate the diagnostic and therapeutic potential of the identified miRNAs, as well as their involvement in the development of GBM and AD.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticAlzheimer DiseaseBiomarkersBrain NeoplasmsComputational BiologyDiagnosis, DifferentialGene Regulatory NetworksGlioblastomaHumansMicroRNAsPrognosisSignal TransductionBiomarkersMicroRNAs

Identifiers

PMID31322245
PMCPMC6682788

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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.