Evidence map›Paper›PMID 32509065›Full record

ArticleInternational journal of clinical and experimental pathology2020

High expression of ZNF93 promotes proliferation and migration of ovarian cancer cells and relates to poor prognosis.

Xiao-Xiao Cui, Chen Zhou, Huan Lu, Yan-Li Han, Feng-Mian Wang, Wei-Rong Fan, Yuan Ren, Rong Zhang

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
0.5field-weighted citation impact, top 38% 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, 11 citations in OpenAlex.

  1. Article
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  4. Transcriptome Patterns ofInternational journal of molecular sciences · 2021
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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

8 authors at 1 institution in 1 country.

Xiao-Xiao CuiAnhui University of Science and Technology Huainan, P. R. China.
Chen ZhouDepartment of Gynecology, Changzhou No. 2 People's Hospital Jiangsu, P. R. China.
Huan LuDepartment of Obstetrics and Gynecology, Health Sciences Affiliated Sixth People's Hospital South Campus Shanghai, P. R. China.
Yan-Li HanAnhui University of Science and Technology Huainan, P. R. China.
Feng-Mian WangDepartment of Obstetrics and Gynecology, Health Sciences Affiliated Sixth People's Hospital South Campus Shanghai, P. R. China.
Wei-Rong FanDepartment of Obstetrics and Gynecology, Health Sciences Affiliated Sixth People's Hospital South Campus Shanghai, P. R. China.
Yuan RenAnhui University of Science and Technology Huainan, P. R. China.
Rong ZhangAnhui University of Science and Technology Huainan, P. R. China.
Anhui University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer (OC) is most common type of gynecologic cancer and is frequently lethal. It is important to determine the pathologic mechanisms underlying OC. ZNF93 is a member of the zinc finger protein family. Abnormal expression of ZNF93 has been observed in various tumor cells. However, its clinical significance and biologic function in ovarian cancer remain unclear. In the present study, we established that ZNF93 expression was highly up-regulated in OC samples and was closely correlated with clinical stage, indicating poor prognosis. We then established that ZNF93 promoted OC cell proliferation and migration. The results of our study may provide insight into the use of ZNF93 as a marker of clinical outcome and as a potential therapeutic target in OC.

Indexed as

cell migrationcell proliferationOvarian cancersmall interfering siRNAtranscription factor ZNF93

Identifiers

PMID32509065
PMCPMC7270678
OpenAlexW3033131074

What OpenQuestion holds

Textmetadata
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.