Evidence map›Paper›PMID 39809819›Full record

ArticleScientific reports2025

Networks of pre-diagnostic circulating RNA in testicular germ cell tumour.

Joshua Burton, Trine B Rounge, Trine B Haugen, Marcin W Wojewodzic

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Joshua BurtonDepartment of Life Sciences and Health, OsloMet - Oslo Metropolitan University, Oslo, Norway.
Trine B RoungeDepartment of Pharmacy, University of Oslo, Oslo, Norway.
Trine B HaugenDepartment of Life Sciences and Health, OsloMet - Oslo Metropolitan University, Oslo, Norway.
Marcin W WojewodzicDepartment of Research, Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway. Marcin.Wojewodzic@kreftregisteret.no.ORCID https://orcid.org/0000-0003-2501-5201

Funding

Research Council of Norway's program Human Biobanks and Health Data 229621
6 · The paper itself

Abstract

Testicular germ cell tumour (TGCT) is a malignancy with known inherited risk factors, affecting young men. We have previously identified several hundred differentially abundant circulating RNAs in pre-diagnostic serum from TGCT cases compared to healthy controls. In this study, we performed Weighted Gene Co-expression Network Analysis (WGCNA) on mRNA and miRNA data from these samples. Central genes (hub genes) enriched functional pathways, and regulatory feature prediction were identified for all TGCT subtypes together and according to histology. The TGCT susceptibility genes TEX14, NARS2, and G3BP2, were identified as hub genes in both seminoma and non-seminoma networks. We also identified UBCA1, RCC1, FMR1, OAS3, and UBE2W as hub genes associated with TGCT. The genes OAS3 and UBE2W have previously been associated with testicular dysgenesis. Furthermore, network module analysis indicated transcription factors for oestrogen-related receptors to have a potential role during development of TGCT. The overlap between mRNA network hub genes and TGCT susceptibility genes indicates a common role in TGCT development.

Indexed as

Gene Regulatory NetworksNeoplasms, Germ Cell and EmbryonalTesticular NeoplasmsBiomarkers, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseHumansMaleMicroRNAsRNA, MessengerBiomarkers, TumorMicroRNAsRNA, MessengerNetwork analysisPre-diagnosticRNATesticular cancerTGCTWGCNA

Identifiers

PMID39809819
PMCPMC11733264

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.