Evidence map›Paper›PMID 29042600›Full record

ArticleScientific reports2017

Dynamic and Modularized MicroRNA Regulation and Its Implication in Human Cancers.

Jiang Shu, Bruno Vieira Resende E Silva, Tian Gao, Zheng Xu, Juan Cui

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

54 citing papers in PubMed, 1 synthesis or guideline pooled it, 87 citations in OpenAlex.

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  14. Irradiation alters extracellular vesicle microRNA load in the serum of patients with leukaemia.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2025
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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 at 1 institution in 1 country.

Jiang ShuSystems Biology and Biomedical Informatics (SBBI) Laboratory, Department of Computer Science and Engineering, Lincoln, NE, 68588, USA.
Bruno Vieira Resende E SilvaSystems Biology and Biomedical Informatics (SBBI) Laboratory, Department of Computer Science and Engineering, Lincoln, NE, 68588, USA.
Tian GaoSystems Biology and Biomedical Informatics (SBBI) Laboratory, Department of Computer Science and Engineering, Lincoln, NE, 68588, USA.
Zheng XuDepartment of Statistics, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA.
Juan CuiSystems Biology and Biomedical Informatics (SBBI) Laboratory, Department of Computer Science and Engineering, Lincoln, NE, 68588, USA. jcui@unl.edu.
University of Nebraska–Lincoln · US

Funding

The role of stress in the fetal origin of obesity and metabolic dysfunctionP20GM104320 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI ZEMPLENI, JANOS · 2014 to 2024
$24.9M
NIGMS NIH HHS P20 GM104320
6 · The paper itself

Abstract

MicroRNA is responsible for the fine-tuning of fundamental cellular activities and human disease development. The altered availability of microRNAs, target mRNAs, and other types of endogenous RNAs competing for microRNA interactions reflects the dynamic and conditional property of microRNA-mediated gene regulation that remains under-investigated. Here we propose a new integrative method to study this dynamic process by considering both competing and cooperative mechanisms and identifying functional modules where different microRNAs co-regulate the same functional process. Specifically, a new pipeline was built based on a meta-Lasso regression model and the proof-of-concept study was performed using a large-scale genomic dataset from ~4,200 patients with 9 cancer types. In the analysis, 10,726 microRNA-mRNA interactions were identified to be associated with a specific stage and/or type of cancer, which demonstrated the dynamic and conditional miRNA regulation during cancer progression. On the other hands, we detected 4,134 regulatory modules that exhibit high fidelity of microRNA function through selective microRNA-mRNA binding and modulation. For example, miR-18a-3p, -320a, -193b-3p, and -92b-3p co-regulate the glycolysis/gluconeogenesis and focal adhesion in cancers of kidney, liver, lung, and uterus. Furthermore, several new insights into dynamic microRNA regulation in cancers have been discovered in this study.

Indexed as

Gene Expression Regulation, NeoplasticComputational BiologyDatabases, GeneticGene Expression ProfilingGene Regulatory NetworksHumansMicroRNAsNeoplasmsReproducibility of ResultsRNA, MessengerSoftwareMicroRNAsRNA, Messenger

Identifiers

PMID29042600
PMCPMC5645395
OpenAlexW2764036216

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.