MicroRNAs as Biomarkers of Brain Tumor.

Cancer Manag Res

Department of Biochemical Diagnostics, Medical University, Bialystok, Poland.

Published: October 2024

Brain tumors have been deadly cancers for years, and in most cases they are difficult to diagnose in their early stages. For this reason, researchers need to develop low-cost, sensitive methods for examining cancer biomarkers. Such biomarkers include microRNA. MicroRNA expression in various body fluids shows a high correlation with cancer. A number of studies have demonstrated changes in microRNA expression in cerebrospinal fluid and blood samples from patients with brain tumors. New biomarkers such as microRNAs may help diagnose brain tumors at the very beginning of the disease, enabling early treatment and increasing the chances of survival. This review describes the diagnostic role of microRNAs and the prospects for their use as biomarkers in patients with brain tumors.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11460272PMC
http://dx.doi.org/10.2147/CMAR.S484158DOI Listing

Publication Analysis

Top Keywords

brain tumors
16
microrna expression
8
patients brain
8
brain
5
micrornas biomarkers
4
biomarkers brain
4
brain tumor
4
tumor brain
4
tumors
4
tumors deadly
4

Similar Publications

Objective: To assist in the rapid clinical identification of brain tumor types while achieving segmentation detection, this study investigates the feasibility of applying the deep learning YOLOv5s algorithm model to the segmentation of brain tumor magnetic resonance images and optimizes and upgrades it on this basis.

Methods: The research institute utilized two public datasets of meningioma and glioma magnetic resonance imaging from Kaggle. Dataset 1 contains a total of 3,223 images, and Dataset 2 contains 216 images.

View Article and Find Full Text PDF

Applications of MR Finger printing derived T1 and T2 values in Adult brain: A Systematic review.

F1000Res

January 2025

Department of Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.

Introduction: Magnetic resonance imaging (MRI) is essential for brain imaging, but conventional methods rely on qualitative contrast, are time-intensive, and prone to variability. Magnetic resonance finger printing (MRF) addresses these limitations by enabling fast, simultaneous mapping of multiple tissue properties like T1, T2. Using dynamic acquisition parameters and a precomputed signal dictionary, MRF provides robust, qualitative maps, improving diagnostic precision and expanding clinical and research applications in brain imaging.

View Article and Find Full Text PDF

Preoperative mapping techniques for brain tumor surgery: a systematic review.

Front Oncol

January 2025

Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.

Accurate preoperative mapping is crucial for maximizing tumor removal while minimizing damage to critical brain functions during brain tumor surgery. Navigated transcranial magnetic stimulation (nTMS), magnetoencephalography (MEG), and functional magnetic resonance imaging (fMRI) are established methods for assessing motor and language function. Following PRISMA guidelines, this systematic review analyzes the reliability, clinical utility, and accessibility of these techniques.

View Article and Find Full Text PDF

BRAF inhibitor monotherapy in BRAFV600E-mutated pediatric low-grade glioma: a single center's experience.

Front Oncol

January 2025

Department of Pediatrics, Children's Healthcare of Atlanta, Atlanta, GA, United States.

Background: Pediatric low-grade gliomas (pLGGs) have an overall survival of over 90%; however, patients harboring a BRAF alteration may have worse outcomes, particularly when treated with classic chemotherapy. Combined BRAF/MEK inhibition following incomplete resection demonstrated improved outcome in BRAF altered pLGG compared to combined carboplatin/vincristine chemotherapy and is now considered the standard FDA-approved treatment for this group of tumors. The aim herein was to investigate the efficacy and tolerability of single agent BRAF inhibitor treatment in BRAF altered pLGG.

View Article and Find Full Text PDF

Purpose: We aimed to build a machine learning-based model to predict radiation-induced optic neuropathy in patients who had treated head and neck cancers with radiotherapy.

Materials And Methods: To measure radiation-induced optic neuropathy, the visual evoked potential values were obtained in both case and control groups and compared. Radiomics features were extracted from the area segmented which included the right and left optic nerves and chiasm.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!