Evidence map›Paper›PMID 31545448›Full record

ArticleMolecular medicine reports2019

Identification of potential core genes and miRNAs in testicular seminoma via bioinformatics analysis.

Kai Wang, Yun Chen, Zhihong Zhao, Meiying Feng, Shouquan Zhang

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular medicine reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Functions and mechanisms of miR-650 in human diseases.Frontiers in molecular biosciences · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. Epigenetic Factors and ncRNAs in Testicular Cancer.International journal of molecular sciences · 2023
    Review
  6. Review
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Kai WangGuangdong Provincial Key Laboratory of Agro‑Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, P.R. China.
Yun ChenGuangdong Provincial Key Laboratory of Agro‑Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, P.R. China.
Zhihong ZhaoGuangdong Provincial Key Laboratory of Agro‑Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, P.R. China.
Meiying FengGuangdong Provincial Key Laboratory of Agro‑Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, P.R. China.
Shouquan ZhangGuangdong Provincial Key Laboratory of Agro‑Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, P.R. China.
South China Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Testicular seminoma is one of the most common tumours in the field of urology, and its aetiology is still unclear. The aim of the present study was to identify the factors responsible for the development of testicular cancer and to investigate whether mutations in these genes were primarily congenital or acquired. To identify the key genes and miRNAs linked to testicular seminoma, as well as their potential molecular mechanisms, the GSE15220, GSE1818 and GSE59520 microarray datasets were analysed. A total of 5,195 and 1,163 differentially expressed genes (DEGs) were identified after analysing the GSE15220 and GSE1818 datasets, respectively. Among them, 287 genes were common between the two datasets. Of these, 110 were upregulated and 177 were downregulated. Five differentially expressed microRNAs (miRs; DEMs) that were downregulated in seminoma were identified after analysing the GSE59520 dataset. Following protein‑protein interaction network and Gene Ontology analysis, the five nodes with the highest degrees were screened as hub genes. Among them, the high expression of hub genes, such as protein tyrosine phosphatase receptor type C (PTPRC), was associated with worse overall survival. We also predicted the potential target genes of the DEMs. DNA topoisomerase II α (TOP2A), marker of proliferation Ki‑67 (MKI67), PTPRC and ubiquitin conjugating enzyme E2 C were associated with the PI3K/AKT and Wnt/β‑catenin signalling pathways. In addition, hsa‑miR‑650 and hsa‑miR‑665 were associated with the PI3K/AKT and Wnt/β‑catenin signalling pathways. Additionally, TOP2A and MKI67 were strongly associated with the target genes hsa‑miR‑650 and hsa‑miR‑665, respectively. We proposed that the hub genes reported in the present study may have a certain impact on cellular proliferation and migration in testicular seminoma. The roles of these hub genes in seminoma may provide novel insight to improve the diagnosis and treatment of patients with seminoma.

Indexed as

Biomarkers, TumorComputational BiologyGene Expression Regulation, NeoplasticDatabases, GeneticGene Expression ProfilingGene OntologyHumansMaleMicroRNAsProtein Interaction MappingProtein Interaction MapsSeminomaTesticular NeoplasmsTranscriptomeBiomarkers, TumorMicroRNAs

Identifiers

PMID31545448
PMCPMC6797975
OpenAlexW2974492941

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.