Evidence map›Paper›PMID 39256662›Full record

ReviewCellular & molecular biology letters2024

MicroRNAs in metabolism for precision treatment of lung cancer.

Giovanna Carrà, Jessica Petiti, Federico Tolino, Rita Vacca, Francesca Orso

Abstract readReview
In one paragraph

Review in Cellular & molecular biology letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

5 authors.

Giovanna CarràDepartment of Clinical and Biological Sciences, University of Turin, Turin, Italy. giovanna.carra@unito.it.ORCID http://orcid.org/0000-0002-6263-6800
Jessica PetitiDivision of Advanced Materials Metrology and Life Sciences, Istituto Nazionale di Ricerca Metrologica (INRiM), 10135, Turin, Italy.
Federico TolinoDepartment of Translational Medicine (DIMET), University of Eastern Piedmont, Novara, Italy.
Rita VaccaMolecular Biotechnology Center "Guido Tarone", University of Torino, Turin, Italy.
Francesca OrsoDepartment of Translational Medicine (DIMET), University of Eastern Piedmont, Novara, Italy. francesca.orso@uniupo.it.

Funding

Horizon 2020 Framework Programme 101036702Ministero della Salute GR-2021-12374957Ministero dell'Istruzione, dell'Università e della Ricerca AGING ProjectMinistero dell'Istruzione, dell'Università e della Ricerca Program "Department of Excellence 2023-2027"
6 · The paper itself

Abstract

The dysregulation of miRNAs in lung cancer has been extensively documented, with specific miRNAs acting as both tumor suppressors and oncogenes, depending on their target genes. Recent research has unveiled the regulatory roles of miRNAs in key metabolic pathways, such as glycolysis, the tricarboxylic acid cycle, fatty acid metabolism, and autophagy, which collectively contribute to the aberrant energy metabolism characteristic of cancer cells. Furthermore, miRNAs are increasingly recognized as critical modulators of the tumor microenvironment, impacting immune response and angiogenesis. This review embarks on a comprehensive journey into the world of miRNAs, unraveling their multifaceted roles, and more notably, their emerging significance in the context of cancer, with a particular focus on lung cancer. As we navigate this extensive terrain, we will explore the fascinating realm of miRNA-mediated metabolic rewiring, a phenomenon that plays a pivotal role in the progression of lung cancer and holds promise in the development of novel therapeutic strategies.

Indexed as

Lung NeoplasmsMicroRNAsAnimalsAutophagyEnergy MetabolismGene Expression Regulation, NeoplasticHumansPrecision MedicineTumor MicroenvironmentMicroRNAsLung cancerMetabolic reprogrammingMetabolismmiRNAs

Identifiers

PMID39256662
PMCPMC11384722

What OpenQuestion holds

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Registered trials

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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.