Evidence map›Paper›PMID 32563270›Full record

ReviewJournal of experimental & clinical cancer research : CR2020

Non-coding RNAs in cancer: platforms and strategies for investigating the genomic "dark matter".

Katia Grillone, Caterina Riillo, Francesca Scionti, Roberta Rocca, Giuseppe Tradigo, Pietro Hiram Guzzi, Stefano Alcaro, Maria Teresa Di Martino, Pierosandro Tagliaferri, Pierfrancesco Tassone

Open access · goldAbstract readReview
In one paragraph

Review in Journal of experimental & clinical cancer research : CR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
127citing papers in PubMed, 2 pooled it
12.2field-weighted citation impact, top 1% 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

127 citing papers in PubMed, 2 syntheses or guidelines pooled it, 265 citations in OpenAlex.

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67 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

10 authors at 1 institution in 1 country.

Katia GrilloneLaboratory of Translational Medical Oncology, Department of Experimental and Clinical Medicine, Magna Graecia University, Salvatore Venuta University Campus, 88100, Catanzaro, Italy.
Caterina RiilloLaboratory of Translational Medical Oncology, Department of Experimental and Clinical Medicine, Magna Graecia University, Salvatore Venuta University Campus, 88100, Catanzaro, Italy.
Francesca SciontiLaboratory of Translational Medical Oncology, Department of Experimental and Clinical Medicine, Magna Graecia University, Salvatore Venuta University Campus, 88100, Catanzaro, Italy.
Roberta RoccaLaboratory of Translational Medical Oncology, Department of Experimental and Clinical Medicine, Magna Graecia University, Salvatore Venuta University Campus, 88100, Catanzaro, Italy.
Giuseppe TradigoLaboratory of Bioinformatics, Department of Medical and Surgical Sciences, Magna Graecia University, Salvatore Venuta University Campus, 88100, Catanzaro, Italy.
Pietro Hiram GuzziLaboratory of Bioinformatics, Department of Medical and Surgical Sciences, Magna Graecia University, Salvatore Venuta University Campus, 88100, Catanzaro, Italy.
Stefano AlcaroNet4science srl, Magna Graecia University, Salvatore Venuta University Campus, 88100, Catanzaro, Italy.
Maria Teresa Di MartinoLaboratory of Translational Medical Oncology, Department of Experimental and Clinical Medicine, Magna Graecia University, Salvatore Venuta University Campus, 88100, Catanzaro, Italy.
Pierosandro TagliaferriLaboratory of Translational Medical Oncology, Department of Experimental and Clinical Medicine, Magna Graecia University, Salvatore Venuta University Campus, 88100, Catanzaro, Italy. tagliaferri@unicz.it.
Pierfrancesco TassoneLaboratory of Translational Medical Oncology, Department of Experimental and Clinical Medicine, Magna Graecia University, Salvatore Venuta University Campus, 88100, Catanzaro, Italy. tassone@unicz.it.
Magna Graecia University · IT

Funding

Associazione Italiana per la Ricerca sul Cancro 21588Associazione Italiana per la Ricerca sul Cancro 9980CARICAL foundation 16695
6 · The paper itself

Abstract

The discovery of the role of non-coding RNAs (ncRNAs) in the onset and progression of malignancies is a promising frontier of cancer genetics. It is clear that ncRNAs are candidates for therapeutic intervention, since they may act as biomarkers or key regulators of cancer gene network. Recently, profiling and sequencing of ncRNAs disclosed deep deregulation in human cancers mostly due to aberrant mechanisms of ncRNAs biogenesis, such as amplification, deletion, abnormal epigenetic or transcriptional regulation. Although dysregulated ncRNAs may promote hallmarks of cancer as oncogenes or antagonize them as tumor suppressors, the mechanisms behind these events remain to be clarified. The development of new bioinformatic tools as well as novel molecular technologies is a challenging opportunity to disclose the role of the "dark matter" of the genome. In this review, we focus on currently available platforms, computational analyses and experimental strategies to investigate ncRNAs in cancer. We highlight the differences among experimental approaches aimed to dissect miRNAs and lncRNAs, which are the most studied ncRNAs. These two classes indeed need different investigation taking into account their intrinsic characteristics, such as length, structures and also the interacting molecules. Finally, we discuss the relevance of ncRNAs in clinical practice by considering promises and challenges behind the bench to bedside translation.

Indexed as

Gene Expression Regulation, NeoplasticAnimalsBiomarkers, TumorDisease ProgressionHumansNeoplasmsRNA, UntranslatedBiomarkers, TumorRNA, UntranslatedCancer geneticslncRNAsLong-non coding RNAsmicroRNAsmiRNAsncRNA functionsNon-coding RNAs

Identifiers

PMID32563270
PMCPMC7305591
OpenAlexW3036761984

What OpenQuestion holds

Textmetadata
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.