Evidence map›Paper›PMID 33176595›Full record

ArticleTechnology in cancer research & treatment

DARS-AS1 Knockdown Inhibits the Growth of Cervical Cancer Cells via Downregulating HMGB1 via Sponging miR-188-5p.

Jinming Zhu, Shichao Han

Open access · goldAbstract read
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Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 43% 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

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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

5 citing papers in PubMed, 10 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.

Jinming ZhuDepartment of Oncology, Affiliated Zhongshan Hospital, Dalian University, Dalian, People's Republic of China.
Shichao HanDepartment of Gynecology, The 2nd Affiliated Hospital of Dalian Medical University, Dalian, People's Republic of China.ORCID 0000-0001-5404-7347
Affiliated Zhongshan Hospital of Dalian University · CNDalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence has been shown that long noncoding RNAs (lncRNAs) play an important role in the development of cervical cancer. Recently, lncRNA DARS-AS1 was shown to be dysregulated in several cancer types, but the role of DARS-AS1 in cervical cancer remains unclear.

methodsImmunofluorescence staining, flow cytometry and transwell invasion assays were used to determine proliferation, apoptosis and invasion in cervical cancer cells, respectively. The dual luciferase reporter system assay was performed to assess the interaction between DARS-AS1, miR-188-5p, and high mobility group box 1 (HMGB1) in cervical cancer cells.

resultsDownregulation of DARS-AS1 markedly inhibited the proliferation and invasion of cervical cancer cells. Moreover, DARS-AS1 knockdown obviously induced the apoptosis of SiHa and HeLa cells. Meanwhile, luciferase reporter assay identified that miR-188-5p was the potential miRNA binding of DARS-AS1, and HMGB1 was the potential binding target of miR-188-5p. Mechanistic analysis indicated that downregulation of DARS-AS1 decreased the expression of HMGB1 by acting as a competitive "sponge" of miR-188-5p.

conclusionIn this study, we found that DARS-AS1 knockdown suppressed the growth of cervical cancer cells via downregulating HMGB1 via sponging miR-188-5p. Therefore, DARS-AS1 might serve as a potential target for the treatment of cervical cancer.

Indexed as

Gene Expression Regulation, NeoplasticRNA Interference3' Untranslated RegionsApoptosisBiomarkers, TumorCell Line, TumorCell MovementFemaleFlow CytometryGenes, ReporterHMGB1 ProteinHumansMicroRNAsRNA, Long NoncodingUterine Cervical Neoplasms3' Untranslated RegionsBiomarkers, TumorHMGB1 ProteinMicroRNAsMIRN188 microRNA, humanRNA, Long Noncodingcervical cancerDARS-AS1high mobility group box 1lncRNAstumorigenesis

Identifiers

PMID33176595
PMCPMC7672739
OpenAlexW3103682808

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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.