Evidence map›Paper›PMID 33104706›Full record

ArticlePloS one2020

Three-gene prognostic biomarkers for seminoma identified by weighted gene co-expression network analysis.

Hualin Chen, Gang Chen, Yang Pan, Xiaoxiang Jin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Hualin ChenDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Gang ChenDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID 0000-0002-9901-1927
Yang PanDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xiaoxiang JinDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
The Affiliated Yongchuan Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Testicular germ cell tumors (TGCTs) are common in young males, and seminoma accounts for a large proportion of TGCTs. However, there are limited records on the exploration of novel biomarkers for seminoma. Hence, we aimed to identify new biomarkers associated with overall survival in seminoma. mRNA-seq and clinical traits of TGCTs were downloaded from UCSC XENA and analyzed by weighted gene co-expression network analysis. After intersection with differentially expressed genes in GSE8607, common genes were subjected to protein-protein interaction (PPI) network construction and enrichment analyses. Then, the top 10 common genes were investigated by Kaplan-Meier (KM) survival analyses and univariate Cox regression analyses. Ultimately, TYROBP, CD68, and ITGAM were considered three prognostic biomarkers in seminoma. Based on correlation analysis between these genes and immune infiltrates, we suggest that the three biomarkers influence the survival of seminoma patients, possibly through regulating the infiltration of immune cells. In conclusion, our study demonstrated that TYROBP, CD68, and ITGAM could be regarded as prognostic biomarkers and therapeutic targets for seminoma patients.

Indexed as

Adaptor Proteins, Signal TransducingAntigens, CDAntigens, Differentiation, MyelomonocyticBiomarkers, TumorCD11b AntigenCD68 MoleculeComputational BiologyDatabases, GeneticGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMembrane ProteinsPrognosisSeminomaSequence Analysis, RNAAdaptor Proteins, Signal TransducingAntigens, CDAntigens, Differentiation, MyelomonocyticBiomarkers, TumorCD11b AntigenCD68 antigen, humanCD68 MoleculeITGAM protein, humanMembrane ProteinsTYROBP protein, human

Identifiers

PMID33104706
PMCPMC7588113
OpenAlexW3094548240

What OpenQuestion holds

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LicenceCC BY
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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.