Evidence map›Paper›PMID 40519905›Full record

ArticleFrontiers in immunology2025

Investigation of GPR137C as a promising novel marker for the progression of prostate cancer through G4 screen and bioinformatics analyses.

Yue Hou, Haowen Lu, Saisai Chen, Likai Mao, Xuan Huang, Feng Xu, Chuanjun Shu

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

7 authors.

Yue Hou *Military Medical Innovation Center, Fourth Military Medical University, Xi'an, China.
Haowen Lu *Department of Urology, Affiliated Zhongda Hospital of Southeast University, Nanjing, Jiangsu, China.
Saisai ChenDepartment of Urology, Affiliated Zhongda Hospital of Southeast University, Nanjing, Jiangsu, China.
Likai MaoDepartment of Urology, Affiliated Zhongda Hospital of Southeast University, Nanjing, Jiangsu, China.
Xuan HuangReproductive Medical Center, Jinling Hospital Affiliated to Medical School of Nanjing University, Nanjing, Jiangsu, China.
Feng XuDepartment of Urology, Jinhu County Peoples Hospital, Huai'an, Jiangsu, China.
Chuanjun Shu *Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Prostate cancer (PCa) remains the fifth leading cause of male cancer mortality, necessitating novel biomarkers and therapeutic targets. Methods: Through BG4 ChIP-seq profiling in PCa cells, we identified promoter G-quadruplex (G4) structures in prognosis-associated genes, with GPR137C exhibiting a functional G4 in its promoter. Results: This G4 structure facilitates promoter hypomethylation to activate GPR137C transcription. Moreover, GPR137C promotes tumor microenvironment remodeling by enhancing immune cell infiltration, thereby driving PCa progression. Disscussion: This study establishes promoter G4s as epigenetic regulators in PCa while proposing GPR137C as both a prognostic biomarker and a therapeutic nexus for GPCR-targeted drug development.

Indexed as

Biomarkers, TumorG-QuadruplexesProstatic NeoplasmsReceptors, G-Protein-CoupledAnimalsCell Line, TumorComputational BiologyDisease ProgressionDNA MethylationEpigenesis, GeneticGene Expression Regulation, NeoplasticHumansMalePrognosisPromoter Regions, GeneticTumor MicroenvironmentBiomarkers, TumorReceptors, G-Protein-CoupleddrugsGPCRs de-orphanizationGPR137CG-quadruplexprostate cancer

Identifiers

PMID40519905
PMCPMC12162501

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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.