Evidence map›Paper›PMID 41187218›Full record

ArticlePloS one2025

Identification and validation of stage-specific microRNAs and target genes for prostate cancer: Utilizing bioinformatics tools for diagnostic marker discovery.

Mahsa Yaghobinejad, Mohammad Naji, Ali Mohammad Alizadeh, Soheib Aryanezhad, Solmaz Khalighfard, Parisa Asadollahi, Nasrin Takzare, Tayebeh Rastegar

Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07255729 (Machine Learning-Based Exosomal microRNA Signature for Preoperative Staging and Chemotherapy Eligibility in Colon Cancer), which is not on this map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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.

NCT07255729 recruitingnot on this map

Machine Learning-Based Exosomal microRNA Signature for Preoperative Staging and Chemotherapy Eligibility in Colon Cancer

TypeobservationalSponsorCity of Hope Medical CenterRan2025 to 2028Enrolled400ConditionsColon CancerArmsDiagnostic Test: EXPOSE assay(Small RNA-seq of exosomal miRNAs), Diagnostic Test: EXPOSE RT-qPCR panel
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Mahsa YaghobinejadDepartment of Anatomy, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad NajiUrology and Nephrology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Ali Mohammad AlizadehCancer Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.
Soheib AryanezhadUro-oncology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Solmaz KhalighfardResearch Center for Developement of Advanced Technologies, Tehran, Iran.
Parisa AsadollahiDepartment of Microbiology, Ilam University of Medical Sciences, Ilam, Iran.
Nasrin TakzareDepartment of Anatomy, Tehran University of Medical Sciences, Tehran, Iran.
Tayebeh RastegarDepartment of Anatomy, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-6515-9974

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the urgent need for more specific, sensitive, and non-invasive markers for prostate cancer screening and differential diagnosis, circulating miRNAs have emerged as valuable candidates. Sixty seven prostate cancer subjects in different stages were included in this study. The participants were categorized into groups based on their pathological characteristics as local, biochemical relapse and metastatic. We retrieved eligible datasets from GEO database to identify stage-specific differentially expressed up/down-regulated genes. Cytohubba, built-in application of Cytoscape software, and Reactome pathway database were applied to select hub genes. To select upstream miRNAs, we utilized the MiRWalk and miRNet online tools. To construct the miRNA-mRNA regulatory networks, we employed rna22. Finally, three miRNAs and five target genes were validated in peripheral blood mononuclear cells of PCa patients compared with benign prostate hyperplasia. PSA level was also measured using ELISA. Our findings revealed the potential role of PRC1 and UBA52 to be used as biomarkers for the metastatic stage, RCC1 for both biochemical relapse, and metastatic subjects. Furthermore, elevated levels of miR-124-3p and downregulation of miR-133a-3p can be introduced as biochemical relapse stage identifier. We also identified the tumor suppressor role of miR-17-5p, which was associated with higher Gleason scores. We propose PRC1, UBA52, RCC1, miR-124-3p and miR133a-3p as stage-specific PCa identifiers.

Indexed as

Biomarkers, TumorComputational BiologyMicroRNAsProstatic NeoplasmsAgedGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMaleMiddle AgedNeoplasm StagingBiomarkers, TumorMicroRNAs

Identifiers

PMID41187218
PMCPMC12585097

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Registered trials

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.