Evidence map›Paper›PMID 31757209›Full record

ArticleBMC bioinformatics2019

MiRNA therapeutics based on logic circuits of biological pathways.

Valeria Boscaino, Antonino Fiannaca, Laura La Paglia, Massimo La Rosa, Riccardo Rizzo, Alfonso Urso

Abstract read
In one paragraph

Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. MicroRNAs and Sepsis-Induced Cardiac Dysfunction: A Systematic Review.International journal of molecular sciences · 2020
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. MicroRNA-21 facilitates osteoblast activity.Biochemistry and biophysics reports · 2021
    Article
  8. 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

6 authors.

Valeria BoscainoCNR-ICAR, National Research Council of Italy, via Ugo La Malfa 153, Palermo, 90146, Italy.
Antonino FiannacaCNR-ICAR, National Research Council of Italy, via Ugo La Malfa 153, Palermo, 90146, Italy.
Laura La PagliaCNR-ICAR, National Research Council of Italy, via Ugo La Malfa 153, Palermo, 90146, Italy.
Massimo La RosaCNR-ICAR, National Research Council of Italy, via Ugo La Malfa 153, Palermo, 90146, Italy. massimo.larosa@icar.cnr.it.ORCID http://orcid.org/0000-0001-6718-7269
Riccardo RizzoCNR-ICAR, National Research Council of Italy, via Ugo La Malfa 153, Palermo, 90146, Italy.
Alfonso UrsoCNR-ICAR, National Research Council of Italy, via Ugo La Malfa 153, Palermo, 90146, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn silico experiments, with the aid of computer simulation, speed up the process of in vitro or in vivo experiments. Cancer therapy design is often based on signalling pathway. MicroRNAs (miRNA) are small non-coding RNA molecules. In several kinds of diseases, including cancer, hepatitis and cardiovascular diseases, they are often deregulated, acting as oncogenes or tumor suppressors. miRNA therapeutics is based on two main kinds of molecules injection: miRNA mimics, which consists of injection of molecules that mimic the targeted miRNA, and antagomiR, which consists of injection of molecules inhibiting the targeted miRNA. Nowadays, the research is focused on miRNA therapeutics. This paper addresses cancer related signalling pathways to investigate miRNA therapeutics.

resultsIn order to prove our approach, we present two different case studies: non-small cell lung cancer and melanoma. KEGG signalling pathways are modelled by a digital circuit. A logic value of 1 is linked to the expression of the corresponding gene. A logic value of 0 is linked to the absence (not expressed) gene. All possible relationships provided by a signalling pathway are modelled by logic gates. Mutations, derived according to the literature, are introduced and modelled as well. The modelling approach and analysis are widely discussed within the paper. MiRNA therapeutics is investigated by the digital circuit analysis. The most effective miRNA and combination of miRNAs, in terms of reduction of pathogenic conditions, are obtained. A discussion of obtained results in comparison with literature data is provided. Results are confirmed by existing data.

conclusionsThe proposed study is based on drug discovery and miRNA therapeutics and uses a digital circuit simulation of a cancer pathway. Using this simulation, the most effective combination of drugs and miRNAs for mutated cancer therapy design are obtained and these results were validated by the literature. The proposed modelling and analysis approach can be applied to each human disease, starting from the corresponding signalling pathway.

Indexed as

LogicCarcinoma, Non-Small-Cell LungComputer SimulationGene Expression Regulation, NeoplasticHumansLung NeoplasmsMicroRNAsMutationSignal TransductionMicroRNAsBoolean networkCancer pathwayDrug discoveryLogic circuitmiRNA therapeutics

Identifiers

PMID31757209
PMCPMC6873406

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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.