Related Experiment Video
Updated: Jul 12, 2025

miRNA Expression Analyses in Prostate Cancer Clinical Tissues
Published on: September 8, 2015
The relationship between DNA methyltransferase 3B (DNMT3B) and miR 124-3pa expressions in bladder cancer tissues
Mohammed S Fawzy1, Abdel Rahman M El Faiomy2, Ansam M Z El Desoky1
1Medical Biochemistry & Molecular Biology Department, Faculty of Medicine, Zagazig University, Zagazig, Egypt.
Background:
Cancer bladder is the most common malignant tumor affecting the urinary tract. Genetic alterations are tightly associated with the development of cancer bladder. MicroRNAs (miRNA) are small, noncoding single-stranded RNA molecules that have been linked to bladder cancer. miR-124-3pa exhibits altered expression in various types of human malignancies. DNA methyltransferase 3B (DNMT3B) is responsible for de novo DNA methylation which is a fundamental epigenetic process in carcinogenesis. This work was performed to study the expression of DNMT3B and miR 124-3pa in bladder cancer tissues, and investigate their significance in the diagnosis and prognosis of the disease.
Subjects & Methods:
This case-control study included one hundred and six tissue samples of patients with primary urothelial bladder cancer. The tissues were separated into two parts. The first part was immediately frozen and kept at - 80 °C for total RNA extraction with subsequent detection of miR 124-3pa and DNMT3B expressions. The other part was preserved in formalin solution for histopathological examination.
Results:
There was a highly statistically significant difference between the cancerous and the normal tissues as regarding miRNA-124-3pa and DNMT3B expression (P < 0.001) for each. Also, there was a highly statistically significant strong negative correlation between miRNA-124-3pa and DNMT3B expression (r=-0.750, P < 0.001). The combined performance of miR-124-3pa and DNMT3B revealed that the cutoff point of ≥ 3.3 can be used as a predictor of the presence of cancer bladder with sensitivity of 98.1% and specificity of 80%.
Conclusion:
miR-124-3pa and DNMT3B can be used as predictors of the presence of cancer bladder.
Insights
Altered expression of microRNA-124-3pa and DNA methyltransferase 3B (DNMT3B) are significant indicators for bladder cancer. These biomarkers show a strong negative correlation and can predict the presence of bladder cancer.
Area of Science:
- Oncology
- Molecular Biology
- Epigenetics
Background:
- Bladder cancer is a prevalent urinary tract malignancy.
- Genetic alterations and epigenetic modifications, including DNA methylation, are key drivers of bladder cancer development.
- MicroRNAs (miRNAs), such as miR-124-3pa, and DNA methyltransferase 3B (DNMT3B) are implicated in various human cancers.
Purpose of the Study:
- To investigate the expression levels of DNMT3B and miR-124-3pa in bladder cancer tissues.
- To determine the diagnostic and prognostic significance of these biomarkers in bladder cancer.
Main Methods:
- A case-control study involving 106 primary urothelial bladder cancer tissue samples.
- Analysis of miR-124-3pa and DNMT3B expression using total RNA extracted from frozen tissues.
- Histopathological examination of formalin-preserved tissues.
Main Results:
- Significant differences in miR-124-3pa and DNMT3B expression were observed between cancerous and normal bladder tissues (P < 0.001).
- A strong negative correlation was found between miR-124-3pa and DNMT3B expression (r = -0.750, P < 0.001).
- Combined analysis of miR-124-3pa and DNMT3B demonstrated high predictive value for bladder cancer presence (98.1% sensitivity, 80% specificity at a cutoff of ≥3.3).
Conclusions:
- miR-124-3pa and DNMT3B serve as valuable predictive biomarkers for the presence of bladder cancer.
- The combined assessment of these biomarkers offers a promising approach for bladder cancer diagnosis.
More Related Videos
09:40Author Spotlight: Unveiling the Role of TMOD3 in Platinum Resistance and Immune Infiltration in Ovarian Cancer
Published on: August 2, 2024
09:40Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy
Published on: October 4, 2019