Evidence map›Paper›PMID 35117246›Full record

ArticleTranslational cancer research2020

Screening of potential genes and transcription factors involved in post-radiation cognitive dysfunction in mice via bioinformatics.

Shengjun Ji, Gang Wu, Rui Lou, Qingqing Chen, Yutian Zhao, Ke Gu, Jinming Yu, Ming Yang, Jiahao Zhu

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 80% 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

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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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Perturbations in the neuroactive ligand-receptor interaction and renin angiotensin system pathways are associated with cancer-related cognitive impairment.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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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

9 authors at 5 institutions in 1 country.

Shengjun JiSchool of Medicine, Shandong University, Jinan, China.
Gang WuDepartment of Radiotherapy and Oncology, Affiliated Hospital of Jiangnan University, Wuxi, China.
Rui LouDepartment of Radiotherapy and Oncology, Affiliated Hospital of Jiangnan University, Wuxi, China.
Qingqing ChenDepartment of Radiotherapy and Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China.
Yutian ZhaoDepartment of Radiotherapy and Oncology, Affiliated Hospital of Jiangnan University, Wuxi, China.
Ke GuDepartment of Radiotherapy and Oncology, Affiliated Hospital of Jiangnan University, Wuxi, China.
Jinming YuSchool of Medicine, Shandong University, Jinan, China.
Ming YangShandong Academy of Medical Sciences, Jinan, China.
Jiahao ZhuDepartment of Radiotherapy and Oncology, Affiliated Hospital of Jiangnan University, Wuxi, China.
Wuxi Fourth People's Hospital · CNJiangnan University · CNSuzhou Municipal Hospital · CNShandong First Medical University · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to identify potential genes and transcription factors involved in postradiation cognitive dysfunction using bioinformatics analysis.

methodsBioinformatics tools were used to identify differentially expressed mRNAs between postradiation cognitive dysfunctional and control tissue. The GSE115735 dataset containing mRNA expression profiles was downloaded from the Gene Expression Omnibus database. The mRNA expression data corresponded to three hippocampus and three brain lateral ventricles from postradiation cognitive dysfunctional mice and controls. The differentially expressed mRNAs between the two groups were identified, and protein-protein interaction network was constructed. This was followed by functional enrichment and pathway analysis with further prediction of transcription factors that targeted differentially expressed mRNAs. Network analysis was conducted between the differentially expressed mRNAs and these potential transcription factors.

resultsA total of 134 differentially expressed mRNAs were obtained, including 64 mRNAs in the hippocampus and 84 in the posterior lateral ventricles. Fourteen mRNAs were expressed differentially in both tissues. Furthermore, genes in the network were strongly enriched in neuroactive ligand-receptor interactions, regulation of calcium ion transport, mitotic spindle associated pathway, and TGF-beta signaling pathways. Six transcription factors associated with the regulation of target genes were identified.

conclusionsMost of the genes identified were involved in transcriptional regulation, including

Indexed as

Biological ontologiescentral nervous system (CNS)cognitive dissonancegeneticradiotherapytranscription

Identifiers

PMID35117246
PMCPMC8797852
OpenAlexW3093275567

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.