Evidence map›Paper›PMID 34482803›Full record

ArticleBioengineered2021

Centromere protein E as a novel biomarker and potential therapeutic target for retinoblastoma.

Ke Shi, Xinyue Zhu, Jiali Wu, Yuhong Chen, Jingfa Zhang, Xiaodong Sun

Open access · goldAbstract read
In one paragraph

Article in Bioengineered, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

10 citing papers in PubMed, 20 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

6 authors at 3 institutions in 3 countries.

Ke ShiDepartment of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Xinyue ZhuDepartment of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Jiali WuDepartment of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Yuhong ChenDepartment of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Jingfa ZhangDepartment of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Xiaodong SunDepartment of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
National Clinical Research · USCenter for Visual Communication (United States) · USUniversity of Lusaka · ZM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retinoblastoma is the most common intraocular malignancy during childhood. Currently, there is no effective treatment for metastatic retinoblastoma. We investigated potential biomarkers of retinoblastoma by utilizing three datasets from a public database. Functional enrichment analysis, including gene ontology, Kyoto encyclopedia of genes and genomes, gene set enrichment analysis and variation analysis, suggested that differentially expressed genes in retinoblastoma were enriched in accelerated cell cycle events. Protein-protein interaction analysis constructed a network consisting of six hub genes, including

Indexed as

Retinal NeoplasmsRetinoblastomaAntineoplastic AgentsBiomarkers, TumorCell Line, TumorChromosomal Proteins, Non-HistoneComputational BiologyDatabases, GeneticHumansProtein Interaction MapsTranscriptomeAntineoplastic AgentsBiomarkers, Tumorcentromere protein EChromosomal Proteins, Non-Histonebioinformaticsbiomarkercentromere protein E (CENPE)Gene Expression Omnibus (GEO)immunoblottingRetinoblastomaRT-qPCR

Identifiers

PMID34482803
PMCPMC8806431
OpenAlexW3198283109

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.