Evidence map›Paper›PMID 34887922›Full record

ArticleJournal of oncology2021

circ_0075943 Dominates the miR-141-3p/AK2 Network to Support the Development of Breast Carcinoma.

Haixia Wang, Xuechun Zhao, Hui Wang

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. The role of the adenylate kinase 5 gene in various diseases and cancer.Journal of clinical and translational science · 2024
    Review
  2. Review
  3. 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.

Haixia WangDepartment of Surgery, Jinan Third People's Hospital, Jinan, Shandong 250101, China.ORCID https://orcid.org/0000-0003-3177-3885
Xuechun ZhaoDepartment of Surgery, Jinan Third People's Hospital, Jinan, Shandong 250101, China.
Hui WangDepartment of Surgery, Jinan Third People's Hospital, Jinan, Shandong 250101, China.
Fourth People’s Hospital of Jinan · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer (BC) progression is related to the disorder of circular RNAs (circRNAs). This study aims to characterize the role of circ_0075943 in BC.

methodsReal-time fluorescent quantitative PCR (real-time PCR) technology was implemented to investigate circ_0075943, AK2 mRNA, and microRNA-141-3p levels. MTT, colony formation method, Transwell, and flow cytometry technique were adopted to investigate cell function. The connection between miR-141-3p and circ_0075943 or AK2 was confirmed by the dual-luciferase reporter gene or RNA immunoprecipitation (RIP). The influence on circ_0075943 in vivo was confirmed by animal experiments.

resultscirc_0075943 was augmented in BC cell lines and tumor specimens. Dwindling of circ_0075943 could dramatically suppress the phenotype of BC cells and induce apoptosis. MiR-141-3p is a target of circ_0075943, and its repression largely reverses the influence of knocking down circ_0075943 on cell behavior. Moreover, AK2, as a target of miR-141-3p, is augmented in BC cells and specimens. AK2 overexpression could restore the phenotype of BC cells blocked by miR-141-3p redevelopment. Moreover, knocking down circ_0075943 could suppress the growth of tumors in vivo.

conclusionThe abnormal regulation of circ_0075943 participates in part of the expansion of BC by dominating the miR-141-3p/AK2 regulatory network.

Identifiers

PMID34887922
PMCPMC8651399
OpenAlexW3216607236

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.