Evidence map›Paper›PMID 32985327›Full record

ArticleCancer biology & therapy2020

Long non-coding RNA ARAP1-AS1 promotes the proliferation and migration in cervical cancer through epigenetic regulation of DUSP5.

Han Min, Wenjing He

Open access · greenAbstract read
In one paragraph

Article in Cancer biology & therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 22 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

2 authors at 2 institutions in 1 country.

Han MinDepartment of Obstetrics and Gynecology, Mianyang Central Hospital , Mianyang, Sichuan, China.
Wenjing HeDepartment of Gynecology, Sichuan Academy of Medical Science and Sichuan Provincial People's Hospital , Chengdu, Sichuan, China.
Mianyang Central Hospital · CNSichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging reports have indicated that long non-coding RNAs (lncRNAs) play pivotal roles in multiple cancers, containing cervical cancer. LncRNA ARAP1 antisense RNA 1 (ARAP1-AS1) was previously identified as a tumor-promoter in bladder cancer. However, the expression profile and possible modulation mechanism of ARAP1-AS1 in cervical cancer need to be further studied. In the current research, ARAP1-AS1 was discovered to exhibit a high level in cervical cancer cells. Besides, the knockdown of ARAP1-AS1 repressed cell proliferative and migratory capacities in cervical cancer, as detected by loss-of-function assays including CCK-8, EdU, colony formation, and transwell assays. Additionally, dual-specificity phosphatase 5 (DUSP5), lowly expressed in cervical cancer cells, was found to be negatively modulated by ARAP1-AS1. In subsequence, mechanism experiments proved that ARAP1-AS1 recruited enhancer of zeste 2 polycomb repressive complex 2 subunit (EZH2) to regulate DUSP5 expression. Finally, rescue assays certified the oncogenic function of ARAP1-AS1/EZH2/DUSP5 axis in cervical cancer. This research probed the expression level and regulatory mechanism of ARAP1-AS1 underlying cervical cancer, which might shed novel lights into the exploration on cervical cancer treatment.

Indexed as

Cell MovementCell ProliferationDual-Specificity PhosphatasesEpigenesis, GeneticFemaleHumansRNA, Long NoncodingTransfectionUterine Cervical NeoplasmsDual-Specificity PhosphatasesDUSP5 protein, humanRNA, Long NoncodingARAP1-AS1Cervical cancerDUSP5EZH2

Identifiers

PMID32985327
PMCPMC7583511
OpenAlexW3088082994

What OpenQuestion holds

Textmetadata
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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.