Evidence map›Paper›PMID 26872371›Full record

ReviewOncotarget2016

Competing endogenous RNA networks in human cancer: hypothesis, validation, and perspectives.

Chao Yang, Di Wu, Lin Gao, Xi Liu, Yinji Jin, Dong Wang, Tianzhen Wang, Xiaobo Li

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers.

0numbers the graph read from it
0cells of the map it votes in
133citing 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

133 citing papers in PubMed.

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73 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

8 authors.

Chao YangDepartment of Pathology, Harbin Medical University, Harbin, China.
Di WuDepartment of Obstetrics and Gynecology, First Affiliated Hospital of Harbin Medical University, Harbin, China.
Lin GaoCenter for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, China.
Xi LiuDepartment of Cardiovascular Disease, Inner Mongolia People's Hospital, Hohhot, China.
Yinji JinDepartment of Pathology, Harbin Medical University, Harbin, China.
Dong WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Tianzhen WangDepartment of Pathology, Harbin Medical University, Harbin, China.
Xiaobo LiDepartment of Pathology, Harbin Medical University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-coding RNAs represent a majority of the human transcriptome. However, less is known about the functions and regulatory mechanisms of most non-coding species. Moreover, little is known about the potential non-coding functions of coding RNAs. The competing endogenous RNAs (ceRNAs) hypothesis is proposed recently. This hypothesis describes potential communication networks among all transcript RNA species mediated by miRNAs and miRNA-recognizing elements (MREs) within RNA transcripts. Here we review the evolution of the ceRNA hypothesis, summarize the validation experiments and discusses the significance and perspectives of this hypothesis in human cancer.

Indexed as

Gene Expression Regulation, NeoplasticGene Regulatory NetworksHumansNeoplasmsRNA, UntranslatedRNA, Untranslatedcancercompeting endogenous RNAlncRNAmiRNAspseudogene

Identifiers

PMID26872371
PMCPMC4924655

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.