Investigation of the Correlation Between Selected miRNAs, Proinflammatory Cytokines, and Serum Trace Elements in Bladder Cancer Development and Progression

In our study, we aimed to investigate the relationship between miRNA-21, miRNA-155, miRNA-34a, IL-6, TGF-β, and TNF-α expression levels and serum trace element levels in the development and progression of bladder cancer. RT-PCR was used to establish miRNA-21, miRNA-155, and miRNA-34a expression levels while serum IL-6, TGF-β, and TNF-α levels were determined using the ELISA and measured with an atomic absorption spectrophotometer. In the patient group, miRNA-21 and miRNA-155 expression levels were significantly higher compared with the healthy control group (<i>p</i> < 0.001). Furthermore, in the patient group, miRNA-34a expression was significantly lower compared with the control group (<i>p</i> < 0.001). IL-6, TNF-α, TGF-β, copper levels, and the copper to zinc ratio were significantly higher in the patient group (<i>p</i> < 0.001). Serum iron and zinc levels in the patient group were significantly lower compared with the control group (<i>p</i> < 0.001). There was a significant positive correlation between miRNA-155 and IL-6 and TNF-α (r = 0.279, <i>p</i> = 0.015*; r = 0.325**, <i>p</i> = 0.004). A significant positive correlation was detected between miRNA-34a and IL-6 and TGF-β (r = 0.294*, <i>p</i> = 0.010; r = 0.447**, <i>p</i> < 0.001). By evaluating these important biomarkers together, it might be possible to implement clinical applications for bladder cancer treatment and develop individual therapeutic strategies.

Authors

Institutions

Publication Details

Journal
Current Issues in Molecular Biology
Published
2025-12-31
DOI
https://doi.org/10.3390/cimb48010053
Primary Topic
MicroRNA in disease regulation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation of the Correlation Between Selected miRNAs, Proinflammatory Cytokines, and Serum Trace Elements in Bladder Cancer Development and Progression

Necdet Süt, H. Hakan Gürkan, H.C. Kuvan, Muhidin Hassan İbrahim et al.
Current Issues in Molecular Biology
MicroRNA in disease regulation
article

Investigation of the Correlation Between Selected miRNAs, Proinflammatory Cytokines, and Serum Trace Elements in Bladder Cancer Development and Progression

Necdet Süt, H. Hakan Gürkan, H.C. Kuvan, Muhidin Hassan İbrahim, Arzu Ay, Engin Atli, Pinar Koroglu, Gokhan Cevik, Nevra Alkanli
article en

Abstract

In our study, we aimed to investigate the relationship between miRNA-21, miRNA-155, miRNA-34a, IL-6, TGF-β, and TNF-α expression levels and serum trace element levels in the development and progression of bladder cancer. RT-PCR was used to establish miRNA-21, miRNA-155, and miRNA-34a expression levels while serum IL-6, TGF-β, and TNF-α levels were determined using the ELISA and measured with an atomic absorption spectrophotometer. In the patient group, miRNA-21 and miRNA-155 expression levels were significantly higher compared with the healthy control group (<i>p</i> < 0.001). Furthermore, in the patient group, miRNA-34a expression was significantly lower compared with the control group (<i>p</i> < 0.001). IL-6, TNF-α, TGF-β, copper levels, and the copper to zinc ratio were significantly higher in the patient group (<i>p</i> < 0.001). Serum iron and zinc levels in the patient group were significantly lower compared with the control group (<i>p</i> < 0.001). There was a significant positive correlation between miRNA-155 and IL-6 and TNF-α (r = 0.279, <i>p</i> = 0.015*; r = 0.325**, <i>p</i> = 0.004). A significant positive correlation was detected between miRNA-34a and IL-6 and TGF-β (r = 0.294*, <i>p</i> = 0.010; r = 0.447**, <i>p</i> < 0.001). By evaluating these important biomarkers together, it might be possible to implement clinical applications for bladder cancer treatment and develop individual therapeutic strategies.

Current Issues in Molecular BiologyVol. 48(1)
Trakya University (TR), Haliç University (TR)
Trakya Üniversitesi
Good health and well-being
Openalex Percentile: Top 32%
MicroRNA in disease regulation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.