Evidence map›Paper›PMID 36093523›Full record

ArticleTranslational cancer research2022

Bioinformatics analysis and identification of genes and pathways involved in patients with Wilms tumor.

Yufeng Li, Haizhou Tang, Zhenwen Huang, Huaxing Qin, Qin Cen, Fei Meng, Liang Huang, Lifang Lin, Jian Pu, Di Yang

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2022. 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
0.8field-weighted citation impact, top 31% 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, 10 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

10 authors at 1 institution in 1 country.

Yufeng Li *Department of Pediatric Surgery, Guilin Maternal and Child Health Hospital, Guilin, China.
Haizhou Tang *Department of Pediatric Surgery, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Zhenwen Huang *Department of Pediatric Surgery, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Huaxing QinDepartment of General Surgery, Baidong Branch of the Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Qin CenDepartment of General Surgery, Baidong Branch of the Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Fei MengDepartment of Pediatric Surgery, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Liang HuangDepartment of Pediatric Surgery, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Lifang LinDepartment of Pediatric Surgery, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Jian PuDepartment of Hepatobiliary Surgery, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Di YangDepartment of Pediatric Surgery, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Affiliated Hospital of Youjiang Medical University for Nationalities · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Wilms tumor is the most common childhood kidney malignant tumor. However, the genes and signaling pathways associated with the disease remain incompletely understood. Methods: GSE66405, GSE73209, and GSE11151 were collected from the Gene Expression Omnibus (GEO) database, and differentially expressed genes (DEGs) were detected using R software. A protein-protein interaction (PPI) network was constructed using the STRING database, and the clustering modules and hub genes were analyzed with the Cytoscape software. Genes functional enrichment analyses were performed using the package "clusterProfiler" in R software, and the gene set enrichment analysis (GSEA) analysis was performed using GSEA v4.1.0 software. Results: Respectively, 3,092, 620, and 3,567 DEGs were screened in GSE66405, GSE73209, and GSE11151, with a total of 474 common DEGs detected in three expression profiles. For the common DEGs, the top 30 significant results of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways enrichment analyses were presented. Furthermore, five modules were found as the most related modules to Wilms tumor. GO term and KEGG pathway enrichment analyses of the genes in all the modules identified 10 GO terms and 5 KEGG pathways as significantly enriched. The top 10 hub DEGs of the PPI network were Conclusions: Our study revealed robust gene signatures in Wilms tumor. Dysregulations of the signaling pathways were associated with the development and progression of the Wilms tumor, and 10 hub genes may play important roles in its diagnosis and therapy.

Indexed as

differentially expressed genes (DEGs)hub genespathwaysWilms tumor

Identifiers

PMID36093523
PMCPMC9459508
OpenAlexW4292168357

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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.