MicroRNA Analysis in Meningiomas with Different Degrees of Tissue Stiffness: A Potential Tool for Effective Preoperative Planning.


Journal

Neurosurgery
ISSN: 1524-4040
Titre abrégé: Neurosurgery
Pays: United States
ID NLM: 7802914

Informations de publication

Date de publication:
01 Nov 2024
Historique:
received: 05 03 2024
accepted: 26 08 2024
medline: 1 11 2024
pubmed: 1 11 2024
entrez: 1 11 2024
Statut: aheadofprint

Résumé

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. 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. 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%). 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.

Sections du résumé

BACKGROUND AND OBJECTIVES OBJECTIVE
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 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 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 CONCLUSIONS
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.

Identifiants

pubmed: 39485054
doi: 10.1227/neu.0000000000003222
pii: 00006123-990000000-01413
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Ministerstvo ZdravotnictvÃ- Ceské Republiky
ID : NV19-03-00559

Informations de copyright

Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Congress of Neurological Surgeons.

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Auteurs

Milos Duba (M)

Department of Neurosurgery, University Hospital Brno, Brno, Czech Republic.

Dagmar Al Tukmachi (D)

Central European Institute of Technology, Masaryk University, Brno, Czech Republic.

Tetiana Samoilenko (T)

Central European Institute of Technology, Masaryk University, Brno, Czech Republic.

Marek Vecera (M)

Central European Institute of Technology, Masaryk University, Brno, Czech Republic.

Michaela Ruckova (M)

Central European Institute of Technology, Masaryk University, Brno, Czech Republic.

Tereza Vankova (T)

Central European Institute of Technology, Masaryk University, Brno, Czech Republic.

Lenka Radova (L)

Central European Institute of Technology, Masaryk University, Brno, Czech Republic.

Milos Kerkovsky (M)

Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic.

Marek Dostal (M)

Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic.
Department of Biophysics, Faculty of Medicine, Masaryk University, Brno, Czech Republic.

Tereza Koprivova (T)

Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic.

Ivana Roskova (I)

Department of Neurosurgery, University Hospital Brno, Brno, Czech Republic.

Andrej Mrlian (A)

Department of Neurosurgery, University Hospital Brno, Brno, Czech Republic.

Ondrej Hrdy (O)

Department of Anesthesiology, Resuscitation and Intensive Care, University Hospital Brno, Brno, Czech Republic.

Jaroslav Duba (J)

Department of Anesthesiology, Resuscitation and Intensive Care, University Hospital Brno, Brno, Czech Republic.

Leos Kren (L)

Department of Pathology, University Hospital Brno, Brno, Czech Republic.

Martin Smrcka (M)

Department of Neurosurgery, University Hospital Brno, Brno, Czech Republic.

Ondrej Slaby (O)

Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
Department of Pathology, University Hospital Brno, Brno, Czech Republic.
Department of Biology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.

Pavel Fadrus (P)

Department of Neurosurgery, University Hospital Brno, Brno, Czech Republic.

Jiri Sana (J)

Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
Department of Biology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Department of Comprehensive Cancer Care, Masaryk Memorial Cancer Institute, Brno, Czech Republic.

Classifications MeSH