Evidence map›Paper›PMID 39242706›Full record

ArticleScientific reports2024

Prostate cancer subtyping and differential methylation analysis based on the ETS family of transcription factors fusion genes.

Wenkang Niu, Guifang Li, Tingting Zhang, Lei Ma

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

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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

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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.

Wenkang NiuCollege of Life Science, Shihezi University, Shihezi City, Xinjiang, China.
Guifang LiCollege of Life Science, Shihezi University, Shihezi City, Xinjiang, China.
Tingting ZhangCollege of Life Science, Shihezi University, Shihezi City, Xinjiang, China. zting@shzu.edu.cn.
Lei MaCollege of Life Science, Shihezi University, Shihezi City, Xinjiang, China. malei1979@hotmail.com.

Funding

National Natural Science Foundation of China 32060300the Science Foundation of Shihezi University RCZK201953
6 · The paper itself

Abstract

Prostate cancer (PCa) is a highly heterogeneous disease, encompassing various molecular and clinical pathological subtypes. Fusion genes play a facilitating role in the occurrence and progression of PCa. We categorized PCa samples into the ETS family of transcription factors fusion positive and fusion negative subtypes based on fusion genes. This subtyping method is closely related to the epigenomic DNA methylation profiles of PCa, with each sample cluster including more than 85% of the patients. We conducted an analysis of the distribution of the ETS family fusion genes on chromosomes, fusion modes within reading frames, and predictions of structural domains. Among these, the highest frequency of the ETS family related fusion genes occurred on chromosome 21. Compared to the parental genes, fusion genes exhibited new structural domains, such as IG_like, and the most common fusion mode was out-of-frame fusion. The correlation between the methylation levels of hypermethylated CpG sites and the expression levels of their corresponding mRNAs indicates that CD8A and B3GNT5 (with correlations of - 0.388 and - 0.253, respectively) could serve as potential prognostic markers for PCa.

Indexed as

DNA MethylationOncogene Proteins, FusionProstatic NeoplasmsProto-Oncogene Proteins c-etsBiomarkers, TumorCpG IslandsGene Expression Regulation, NeoplasticHumansMalePrognosisBiomarkers, TumorOncogene Proteins, FusionProto-Oncogene Proteins c-etsDNA methylationFusion genesProstate cancerThe ETS family of transcription factors

Identifiers

PMID39242706
PMCPMC11379718

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