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Updated: Jul 1, 2025

Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy
Published on: October 4, 2019
Use of microRNAs as Diagnostic, Prognostic, and Therapeutic Tools for Glioblastoma
David Valle-Garcia1, Verónica Pérez de la Cruz2, Itamar Flores1
1Laboratorio de Neuroinmunología, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez (INNNMVS), Mexico City 14269, Mexico.
Abstract:
Glioblastoma (GB) is the most aggressive and common type of cancer within the central nervous system (CNS). Despite the vast knowledge of its physiopathology and histology, its etiology at the molecular level has not been completely understood. Thus, attaining a cure has not been possible yet and it remains one of the deadliest types of cancer. Usually, GB is diagnosed when some symptoms have already been presented by the patient. This diagnosis is commonly based on a physical exam and imaging studies, such as computed tomography (CT) and magnetic resonance imaging (MRI), together with or followed by a surgical biopsy. As these diagnostic procedures are very invasive and often result only in the confirmation of GB presence, it is necessary to develop less invasive diagnostic and prognostic tools that lead to earlier treatment to increase GB patients' quality of life. Therefore, blood-based biomarkers (BBBs) represent excellent candidates in this context. microRNAs (miRNAs) are small, non-coding RNAs that have been demonstrated to be very stable in almost all body fluids, including saliva, serum, plasma, urine, cerebrospinal fluid (CFS), semen, and breast milk. In addition, serum-circulating and exosome-contained miRNAs have been successfully used to better classify subtypes of cancer at the molecular level and make better choices regarding the best treatment for specific cases. Moreover, as miRNAs regulate multiple target genes and can also act as tumor suppressors and oncogenes, they are involved in the appearance, progression, and even chemoresistance of most tumors. Thus, in this review, we discuss how dysregulated miRNAs in GB can be used as early diagnosis and prognosis biomarkers as well as molecular markers to subclassify GB cases and provide more personalized treatments, which may have a better response against GB. In addition, we discuss the therapeutic potential of miRNAs, the current challenges to their clinical application, and future directions in the field.
Insights
MicroRNAs (miRNAs) in blood show promise as less invasive biomarkers for early glioblastoma (GB) diagnosis, prognosis, and personalized treatment strategies. Further research is needed for clinical application.
Area of Science:
- Neuro-oncology
- Molecular Biology
- Biomarker Discovery
Background:
- Glioblastoma (GB) is an aggressive brain cancer with poor prognosis.
- Current diagnostic methods are invasive and often confirm the disease at a late stage.
- There is a critical need for less invasive diagnostic and prognostic tools for earlier intervention.
Purpose of the Study:
- To review the potential of microRNAs (miRNAs) as blood-based biomarkers for glioblastoma.
- To explore miRNAs' role in early diagnosis, prognosis, and personalized treatment of GB.
- To discuss the therapeutic potential and challenges of miRNA clinical application.
Main Methods:
- Literature review of studies on miRNAs in glioblastoma.
- Analysis of miRNA stability and presence in various body fluids.
- Examination of miRNA dysregulation in GB and their functional roles.
Main Results:
- MicroRNAs (miRNAs) are stable in body fluids and can serve as blood-based biomarkers.
- Dysregulated miRNAs are implicated in glioblastoma development, progression, and chemoresistance.
- miRNAs can potentially classify GB subtypes for tailored therapies.
Conclusions:
- Serum-circulating and exosome-contained miRNAs show potential for early glioblastoma diagnosis and prognosis.
- miRNAs offer a promising avenue for developing personalized treatment strategies for glioblastoma.
- Further research is essential to overcome challenges and translate miRNA-based approaches into clinical practice.

