Evidence map›Paper›PMID 33425096›Full record

ArticleInternational journal of clinical and experimental pathology2020

Kelch-like protein 14 promotes proliferation and migration of ovarian cancer cells.

Zheng Chen, Miaoxing Wu, Jiahua Liu

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2020. 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
0.3field-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

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.

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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 1 institution in 1 country.

Zheng ChenDepartment of Gynecology, Shengli Clinical Medical College of Fujian Medical University & Fujian Provincial Hospital Fuzhou, Fujian, China.
Miaoxing WuDepartment of Gynecology, Shengli Clinical Medical College of Fujian Medical University & Fujian Provincial Hospital Fuzhou, Fujian, China.
Jiahua LiuDepartment of Gynecology, Shengli Clinical Medical College of Fujian Medical University & Fujian Provincial Hospital Fuzhou, Fujian, China.
Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kelch-like protein 14 (KLHL14) belongs to the Kelch gene family, which interacts with TorsinA and is associated with dystonia symptoms. However, the effect of KLHL14 on tumorigenesis remains unclear; thus, we aimed to explore the effects of KLHL14 on ovarian cancer cells. By analyzing information regarding ovarian cancer patients obtained from The Cancer Genome Atlas (TCGA)-Ovarian Cancer Database, we found that the KLHL14 gene is highly expressed in ovarian cancer, and patients with high KLHL14 expression had lower survival than those with low expression. qRT-PCR and western blot results revealed that the mRNA and protein levels of KLHL14 in ovarian cancer cells were higher in A-2780 cells than in KGN cells. After constructing cell lines with a knocked down KLHL14 gene, we used the MTT assay, flow cytometry with propidium iodide (PI), Annexin V-FITC/PI, and transwell assay and found that knockdown of KLHL14 gene inhibited proliferation of A-2780 cells, caused cell G0/G1 phase arrest, promoted apoptosis, and inhibited migration and invasiveness. In addition, Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis revealed that KLHL14 may promote development of ovarian cancer by regulating signaling pathways such as mTOR, WNT, and TGF-beta. In short, the KLHL14 gene plays an important role in ovarian cancer development and may be a target for ovarian cancer detection and treatment.

Indexed as

cell invasivenesscell migrationKelch-like protein 14ovarian cancerThe Cancer Genome Atlas

Identifiers

PMID33425096
PMCPMC7791369
OpenAlexW3118981155

What OpenQuestion holds

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Registered trials

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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.