Evidence map›Paper›PMID 35465017›Full record

ArticleComputational and mathematical methods in medicine2022

Linc00261 Inhibited High-Grade Serous Ovarian Cancer Progression through miR-552-ATG10-EMT Axis.

Lin Wang, Hongcai Wang, Jiuwei Chen

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. 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 44% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. The Role of EMT-Related lncRNAs in Ovarian Cancer.International journal of molecular sciences · 2023
    Review
  5. Article
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

3 authors at 1 institution in 1 country.

Lin WangGynecology Department, Zibo Maternal and Child Health Hospital, NO.66 North Tianjin Road, Zibo, Shandong Province 255000, China.
Hongcai WangGynecology Department, Zibo Maternal and Child Health Hospital, NO.66 North Tianjin Road, Zibo, Shandong Province 255000, China.
Jiuwei ChenGynecology Department, Zibo Maternal and Child Health Hospital, NO.66 North Tianjin Road, Zibo, Shandong Province 255000, China.ORCID https://orcid.org/0000-0002-1007-6338
The Fourth People's Hospital of Zibo City · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, long non-coding RNAs (lncRNAs) play an important role in a multitude of pathways across species; however, their functions are still unknown. In this study, we demonstrate that Linc00261 is downregulation in high-grade serous ovarian cancer (HGSOC) and can inhibit cell proliferation and migration of high-grade serous ovarian cancer cells. We further validate the targeting interactions among Linc00261, miR-552, and ATG10. Interestingly, they all play important roles for regulating epithelial-mesenchymal transition (EMT) progression. Collectively, these findings suggest that Linc00261, a mediator of EMT progression, can target oncogenic miR-552, elevating ATG10 expression, to prevent high-grade serous ovarian cancer tumorigenesis and may serve as a potential novel therapeutic target.

Indexed as

MicroRNAsOvarian NeoplasmsRNA, Long NoncodingAutophagy-Related ProteinsCarcinogenesisCell Line, TumorCell MovementCell ProliferationEpithelial-Mesenchymal TransitionFemaleGene Expression Regulation, NeoplasticHumansVesicular Transport ProteinsATG10 protein, humanAutophagy-Related ProteinsMicroRNAsMIRN552 microRNA, humanRNA, Long NoncodingVesicular Transport Proteins

Identifiers

PMID35465017
PMCPMC9019445
OpenAlexW4223492515

What OpenQuestion holds

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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.