Evidence map›Paper›PMID 35741808›Full record

ArticleGenes2022

miRNAs Copy Number Variations Repertoire as Hallmark Indicator of Cancer Species Predisposition.

Chiara Vischioni, Fabio Bove, Matteo De Chiara, Federica Mandreoli, Riccardo Martoglia, Valentino Pisi, Gianni Liti, Cristian Taccioli

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Hypertrophic cardiomyopathy inThe journal of cardiovascular aging · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Consequences of genetic variants in miRNA genes.Computational and structural biotechnology journal · 2022
    Review
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

8 authors at 3 institutions in 2 countries.

Chiara VischioniDepartment of Animal Medicine, Production and Health, University of Padova, 35020 Legnaro, Italy.
Fabio BoveDepartment of Physics, Informatics and Mathematics, University of Modena and Reggio Emilia, 41125 Modena, Italy.ORCID 0000-0001-6056-9424
Matteo De ChiaraIRCAN, CNRS, INSERM, Université Côte d'Azur, 06107 Nice, France.
Federica MandreoliDepartment of Physics, Informatics and Mathematics, University of Modena and Reggio Emilia, 41125 Modena, Italy.ORCID 0000-0002-8043-8787
Riccardo MartogliaDepartment of Physics, Informatics and Mathematics, University of Modena and Reggio Emilia, 41125 Modena, Italy.
Valentino PisiDepartment of Physics, Informatics and Mathematics, University of Modena and Reggio Emilia, 41125 Modena, Italy.ORCID 0000-0002-9045-4959
Gianni LitiIRCAN, CNRS, INSERM, Université Côte d'Azur, 06107 Nice, France.
Cristian TaccioliDepartment of Animal Medicine, Production and Health, University of Padova, 35020 Legnaro, Italy.ORCID 0000-0003-2995-5612
University of Modena and Reggio Emilia · ITCentre National de la Recherche Scientifique · FRUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging is one of the hallmarks of multiple human diseases, including cancer. We hypothesized that variations in the number of copies (CNVs) of specific genes may protect some long-living organisms theoretically more susceptible to tumorigenesis from the onset of cancer. Based on the statistical comparison of gene copy numbers within the genomes of both cancer-prone and -resistant species, we identified novel gene targets linked to tumor predisposition, such as CD52, SAT1 and SUMO. Moreover, considering their genome-wide copy number landscape, we discovered that microRNAs (miRNAs) are among the most significant gene families enriched for cancer progression and predisposition. Through bioinformatics analyses, we identified several alterations in miRNAs copy number patterns, involving miR-221, miR-222, miR-21, miR-372, miR-30b, miR-30d and miR-31, among others. Therefore, our analyses provide the first evidence that an altered miRNAs copy number signature can statistically discriminate species more susceptible to cancer from those that are tumor resistant, paving the way for further investigations.

Indexed as

DNA Copy Number VariationsGenetic Predisposition to DiseaseMicroRNAsNeoplasmsDisease SusceptibilityGene DosageGenomeHumansMicroRNAscomparative studyDNA copy number variationmiRNAs

Identifiers

PMID35741808
PMCPMC9223155
OpenAlexW4281737214

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.