Evidence map›Paper›PMID 28943904›Full record

ArticleOncology letters2017

Identification of candidate biomarkers for epithelial ovarian cancer metastasis using microarray data.

Su Li, Hua Li, Ying Xu, Xiaomei Lv

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.3field-weighted citation impact, top 9% 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

26 citing papers in PubMed, 37 citations in OpenAlex.

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  14. Collagen XI alpha 1 chain, a potential therapeutic target for cancer.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021
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  16. Silencing of miR-20b-5p Exerts Inhibitory Effect on Diabetic Retinopathy via Inactivation ofDiabetes, metabolic syndrome and obesity : targets and therapy · 2021
    Article
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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

4 authors at 2 institutions in 1 country.

Su LiDepartment of Obstetrics and Gynecology, Jinan Central Hospital Affiliated to Shandong University, Jinan, Shandong 250014, P.R. China.
Hua LiDepartment of Obstetrics and Gynecology, The People's Hospital of Zhangqiu, Zhangqiu, Shandong 250014, P.R. China.
Ying XuDepartment of Obstetrics and Gynecology, Shandong Coal Taishan Sanatorium, Taian, Shandong 271000, P.R. China.
Xiaomei LvDepartment of Obstetrics and Gynecology, Jinan Central Hospital Affiliated to Shandong University, Jinan, Shandong 250014, P.R. China.
Shandong University · CNZhangqiu City People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial ovarian cancer (EOC) is a common cancer in women worldwide. The present study assessed effective biomarkers for the prognosis of EOC metastasis. The GSE30587 dataset, containing 9 EOC primary tumor samples and 9 matched omental metastasis samples, was analyzed. Following normalization, the differentially expressed genes (DEGs) between these samples were identified using the limma package for R. Subsequently, pathway enrichment analysis was performed using ClueGO, and a protein-protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes database. The microRNA (mRNA/miR)-target network was established using the multiMiR package. A set of 272 DEGs was identified in metastatic EOC samples, including 189 upregulated and 83 downregulated genes. Collagen type I α 1 chain (

Indexed as

cell adhesionepithelial ovarian cancermetastasismicroRNAphosphoinositide 3-kinase/protein kinase B

Identifiers

PMID28943904
PMCPMC5604128
OpenAlexW2740464202

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.