Evidence map›Paper›PMID 30405778›Full record

ArticleOncology letters2018

Aclidinium inhibits proliferation and metastasis of ovarian cancer SKOV3 cells via downregulating PI3K/AKT/mTOR signaling pathway.

Juan Qiao, Wei-Jing Wang, Yuan Zhang

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

6 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

3 authors at 2 institutions in 1 country.

Juan QiaoDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400010, P.R. China.
Wei-Jing WangGynecology Department Five of The Harbin Red Cross Center Hospital, Harbin, Heilongjiang 150076, P.R. China.
Yuan ZhangDepartment of Gynecology and Obstetrics, The Second Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570203, P.R. China.
First Affiliated Hospital of Chongqing Medical University · CNHainan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aclidinium, a muscarinic antagonist, is generally used to treat the respiratory system diseases whereas it is not clear whether aclidinium has therapeutic effect in ovarian cancer (OC). The aim of this study was to investigate the impact of aclidinium on OC and its potential mechanism. CCK-8 was employed to test the potential effect of aclidinium on SKOV3 cell proliferation. Transwell migration and invasion assay was performed to assess the influence of aclidinium on SKOV3 cell metastasis and invasion. Furthermore, flow cytometry apoptotic analysis was used to evaluate the effect of aclidinium on cell apoptosis. Finally, western blotting was applied to determine the changes of key proteins in apoptosis and PI3K/AKT/mTOR signaling pathway induced by aclidinium. The study showed that aclidinium had antiproliferative activity on SKOV3 cells. Simultaneously, aclidinium could significantly inhibit the number of migrated and invaded SKOV3 cells and markedly increased the SKOV3 cell apoptosis rate. Mechanistically, the expression of PI3K/AKT/mTOR signaling pathway related proteins were significantly inhibited in aclidinium treated SKOV3 cells. Our findings proposed a clue for further OC studies in preclinical and clinical treatment and aclidinium may be useful for the treatment of OC in the future.

Indexed as

aclidiniumovarian cancerPI3K/AKT/mTOR signaling pathwayproliferation

Identifiers

PMID30405778
PMCPMC6202542
OpenAlexW2890212991

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.