Evidence map›Paper›PMID 33765954›Full record

ArticleBMC cancer2021

Identification of the potential novel biomarkers as susceptibility gene for Wilms tumor.

Li Liu, Zhe Song, Xu-Dong Gao, Xian Chen, Xiao-Bin Wu, Mi Wang, Yu-De Hong

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. BMJ paediatrics open · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Journal of Cancer · 2023
    Article
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

7 authors at 2 institutions in 1 country.

Li LiuDepartment of Urology, The Second Hospital, University of South China, Hengyang, 421001, Hunan, China.
Zhe SongDepartment of Urology, The Second Hospital, University of South China, Hengyang, 421001, Hunan, China. songzhe_USC@163.com.
Xu-Dong GaoCollege of Health Science and Nursing, Wuhan Polytechnic University, Wuhan, 420000, China.
Xian ChenDepartment of Urology, The Second Hospital, University of South China, Hengyang, 421001, Hunan, China.
Xiao-Bin WuDepartment of Urology, The Second Hospital, University of South China, Hengyang, 421001, Hunan, China.
Mi WangDepartment of Urology, The Second Hospital, University of South China, Hengyang, 421001, Hunan, China.
Yu-De HongDepartment of Urology, The Second Hospital, University of South China, Hengyang, 421001, Hunan, China.
University of South China · CNWuhan Polytechnic University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWilms tumor (WT) is the most common malignant renal tumor in children. The aim of this study was to identify potential susceptibility gene of WT for better prognosis.

methodsWeighted gene coexpression network analysis is used for the detection of clinically important biomarkers associated with WT.

resultsIn the study, 59 tissue samples from National Cancer Institute were pretreated for constructing gene co-expression network, while 224 samples also downloaded from National Cancer Institute were used for hub gene validation and module preservation analysis. Three modules were found to be highly correlated with WT, and 44 top hub genes were identified in these key modules eventually. In addition, both the module preservation analysis and gene validation showed ideal results based on other dataset with 224 samples. Meanwhile, Functional enrichment analysis showed that genes in module were enriched to sister chromatid cohesion, cell cycle, oocyte meiosis.

conclusionIn summary, we established a gene co-expression network to identify 44 hub genes are closely to recurrence and staging of WT, and 6 of these hub genes was closely related to the poor prognosis of patients. Our findings revealed that those hub genes may be used as potential susceptibility gene for clinical diagnosis and prognosis of this tumor.

Indexed as

Gene Regulatory NetworksBiomarkers, TumorChildComputational BiologyDatasets as TopicGene Expression ProfilingGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseGenetic TestingHumansKidney NeoplasmsNeoplasm Recurrence, LocalNeoplasm StagingPrognosisRisk AssessmentWilms TumorBiomarkers, TumorBiomarkersOverall survivalRecurrenceWilms tumor

Identifiers

PMID33765954
PMCPMC7992941
OpenAlexW3136815582

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.