Evidence map›Paper›PMID 30217221›Full record

ReviewJournal of experimental & clinical cancer research : CR2018

Regulation of PTEN expression by noncoding RNAs.

Wang Li, Ting Zhang, Lianying Guo, Lin Huang

Open access · goldAbstract readReview
In one paragraph

Review in Journal of experimental & clinical cancer research : CR, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

41 citing papers in PubMed, 74 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Wang LiDepartment of Pathophysiology, College of Basic Medical Sciences, Dalian Medical University, Dalian, Liaoning, 116044, People's Republic of China.
Ting ZhangDepartment of Pathophysiology, College of Basic Medical Sciences, Dalian Medical University, Dalian, Liaoning, 116044, People's Republic of China.
Lianying GuoDepartment of Pathophysiology, College of Basic Medical Sciences, Dalian Medical University, Dalian, Liaoning, 116044, People's Republic of China.
Lin HuangDepartment of Pathophysiology, College of Basic Medical Sciences, Dalian Medical University, Dalian, Liaoning, 116044, People's Republic of China. lhuang@dmu.edu.cn.
Dalian Medical University · CN

Funding

National Natural Science Foundation of China 81772971
6 · The paper itself

Abstract

Phosphatase and tensin homologue (PTEN) triggers a battery of intracellular signaling pathways, especially PI3K/Akt, playing important roles in the pathogenesis of multiple diseases, such as cancer, neurodevelopmental disorders, cardiovascular dysfunction and so on. Therefore PTEN might be a biomarker for various diseases, and targeting the abnormal expression level of PTEN is anticipated to offer novel therapeutic avenues. Recently, noncoding RNAs (ncRNAs) have been reported to regulate protein expression, and it is definite that PTEN expression is controlled by ncRNAs epigenetically or posttranscriptionally as well. Herein, we provide a review on current understandings of the regulation of PTEN by ncRNAs, which could contribute to the development of novel approaches to the diseases with abnormal expression of PTEN.

Indexed as

ApoptosisGene Expression Regulation, NeoplasticHumansMicroRNAsNeoplasmsPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktPTEN PhosphohydrolaseRNA, Long NoncodingSignal TransductionMicroRNAsPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktPTEN PhosphohydrolasePTEN protein, humanRNA, Long NoncodingceRNAlncRNAMethylationmiRNANoncoding RNAPTEN

Identifiers

PMID30217221
PMCPMC6138891
OpenAlexW2891861371

What OpenQuestion holds

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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.