Evidence map›Paper›PMID 40839490›Full record

ArticleJournal of cellular and molecular medicine2025

Comparative Analysis of miRNA Expression 106a-5p and 375-3p and Proteins ERK1/2, p38, β-Catenin and E-Cadherin in Prostate Cancer and Benign Prostatic Hyperplasia.

Magdalena Smereczańska, Natalia Domian, Grzegorz Młynarczyk, Irena Kasacka

Abstract readComparative Study
In one paragraph

Article in Journal of cellular and molecular medicine, 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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.

Magdalena SmereczańskaDepartment of Histology and Cytophysiology, Medical University of Bialystok, Bialystok, Poland.ORCID 0000-0002-3398-366X
Natalia DomianDepartment of Histology and Cytophysiology, Medical University of Bialystok, Bialystok, Poland.
Grzegorz MłynarczykDepartment of Urology, Medical University of Bialystok, Bialystok, Poland.
Irena KasackaDepartment of Histology and Cytophysiology, Medical University of Bialystok, Bialystok, Poland.ORCID 0000-0003-2954-942X

Funding

Uniwersytet Medyczny w Bialymstoku
6 · The paper itself

Abstract

Prostate cancer is the most frequently diagnosed cancer in men and the second most common cause of death. PSA is performed in men to detect prostate cancer early, but PSA levels increase in both cancer and BPH. Therefore, there is an important need to understand prostate-specific molecular signatures. Considering the importance of the MAPK and Wnt/β-catenin pathways in the progression of many cancers and the fact that the miRNA expression profile is unique in each cancer type, evaluation of 106a-5p and 375-3p miRNAs may be an important factor in cancer detection. The research was carried out on tissue fragments taken from 30 patients with BPH and 30 with cancer. IHC and qRT-PCR were used to identify the expression of tested proteins, while the expression of miRNAs was examined using dPCR. The results of the present study showed significantly higher fluorescence intensity of miRNAs 106a-5p and 375-3p, and lower immunoreactivity and the expression of genes encoding ERK1/2, p38, β-catenin and E-cadherin in prostate cancer compared to BPH. It is possible that thanks to miRNA 106a-5p and 375-3p, the proteins we studied belonging to the MAPK and Wnt/β-catenin pathways play a protective suppressor role in prostate cancer cells.

Indexed as

beta CateninCadherinsMicroRNAsProstatic HyperplasiaProstatic NeoplasmsAgedAntigens, CDGene Expression Regulation, NeoplasticHumansMaleMAP Kinase Signaling SystemMiddle AgedMitogen-Activated Protein Kinase 1p38 Mitogen-Activated Protein KinasesWnt Signaling PathwayAntigens, CDbeta CateninCadherinsCDH1 protein, humanCTNNB1 protein, humanMicroRNAsMIRN106 microRNA, humanMitogen-Activated Protein Kinase 1p38 Mitogen-Activated Protein KinasesE‐cadherinERK1/2microRNAp38prostate cancerβ‐catenin

Identifiers

PMID40839490
PMCPMC12369622

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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.