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MicroRNA Analysis in Meningiomas with Different Degrees of Tissue Stiffness: A Potential Tool for Effective
Milos Duba1, Dagmar Al Tukmachi2, Tetiana Samoilenko2
1Department of Neurosurgery, University Hospital Brno, Brno , Czech Republic.
Background And Objectives:
Meningioma, the most common primary intracranial tumor, presents challenges in surgical treatment because of varying tissue stiffness. This study explores the molecular background of meningioma stiffness, a critical factor in surgical planning and prognosis, focusing on the utility of microRNAs (miRNAs) as diagnostic biomarkers of tissue stiffness.
Methods:
Patients with meningiomas treated surgically at the University Hospital Brno were included in this study. Total RNA, isolated from tumor tissue samples, underwent quality control and small RNA sequencing to analyze miRNA expression. Differentially expressed miRNAs were identified, and their association with tumor stiffness was assessed.
Results:
This study identified specific miRNAs differentially expressed in meningiomas with different stiffness levels. Key miRNAs, such as miR-31-5p and miR-34b-5p, showed significant upregulation in stiffer meningiomas. These findings were validated using reverse transcription-quantitative polymerase chain reaction, revealing a potential link between miRNA expression and tumor consistency. The expression of miR-31-5p was most notably associated with the stiffness of the tumor tissue (sensitivity = 71% and specificity = 83%).
Conclusion:
This research highlights the potential of miRNAs as biomarkers for determining meningioma tissue stiffness. Identifying specific miRNAs associated with tumor consistency could improve preoperative planning and patient prognosis. These findings pave the way for further exploration of miRNAs in the clinical assessment of meningiomas.
Insights
Specific microRNAs (miRNAs) can indicate meningioma tissue stiffness, aiding surgical planning. Upregulated miRNAs like miR-31-5p are linked to stiffer tumors, offering potential diagnostic biomarkers.
Area of Science:
- Neurosurgery
- Molecular Biology
- Oncology
Background:
- Meningiomas, the most common primary intracranial tumors, exhibit variable tissue stiffness.
- Tumor stiffness poses challenges for surgical planning and impacts patient prognosis.
- MicroRNAs (miRNAs) are explored as potential diagnostic biomarkers for tissue stiffness.
Purpose of the Study:
- To investigate the molecular basis of meningioma stiffness.
- To identify specific microRNAs (miRNAs) associated with meningioma tissue stiffness.
- To evaluate the utility of miRNAs as diagnostic biomarkers for tumor consistency.
Main Methods:
- Analysis of miRNA expression in surgically treated meningioma samples.
- Utilizing small RNA sequencing for miRNA profiling.
- Assessing the association between differentially expressed miRNAs and tumor stiffness.
Main Results:
- Specific miRNAs were found to be differentially expressed in meningiomas of varying stiffness.
- Upregulation of miR-31-5p and miR-34b-5p was observed in stiffer meningiomas.
- miR-31-5p demonstrated significant association with tumor stiffness (71% sensitivity, 83% specificity).
Conclusions:
- MicroRNAs show potential as biomarkers for meningioma tissue stiffness.
- Identifying stiffness-associated miRNAs can enhance preoperative planning.
- These findings support further research into miRNAs for clinical meningioma assessment.
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