Glioblastoma multiforme (GBM) is the most prevalent, treatment-resistant, and fatal form of brain malignancy. It is characterized by genetic heterogeneity, and an infiltrative nature, and GBM treatment is highly challenging. Despite multimodal therapies, clinicians lack efficient prognostic and predictive markers. Therefore, new insights into GBM management are urgently needed to increase the chance of therapeutic success. Circulating miRNAs (miRs) are important regulators of cancer progression and are potentially useful for GBM diagnosis and treatment. This study investigated how miR-29a, miR-106a, and miR-200a affect the prognosis of GBM patients. This study was conducted on 25 GBM patients and 20 healthy volunteers as a control group. The expression levels of target miRs were analyzed pre- and post-treatment using qRT-PCR and evaluated in relation to both clinical GBM criteria and the patient's survival modes. The diagnostic efficacy of target miRs was assessed using the receiver operating characteristic (ROC) curve. MiRs levels showed significant differences among the enrolled participants. All investigated miRs were significantly elevated in GBM patients with non-frontal lesions. Only miR-200a showed a significant difference in GBM patients older than 60 years with a tumor size ≥ 5 mm. Regarding miR-106a, a significant difference was detected based on the surgical strategy and use of an Eastern Cooperative Oncology Group (ECOG) performance status equal to 2. For miR-29a, a significant upregulation was detected according to the surgical strategy. All post-treatment miRs levels in GBM patients were significantly downregulated. In conclusion, circulating miRs revealed a significant role in predicting GBM patient treatment outcomes providing valuable insights for personalized therapeutic strategies.
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http://dx.doi.org/10.1038/s41598-024-83800-x | DOI Listing |
Neuro Oncol
January 2025
Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, P.R. China.
Background: Glioblastoma stem cells (GSCs) and their exosomes (exos) are involved in shaping the immune microenvironment, which is important for tumor invasion and recurrence. However, studies involving GSC-derived exosomal circular RNAs (GDE-circRNAs) in regulating tumor microenvironment (TME) remain unknown. Here, we comprehensively evaluated the significance of a novel immune-related GDE-circRNA in glioma microenvironment.
View Article and Find Full Text PDFJ Vis Exp
January 2025
Division of Molecular Neurogenetics, German Cancer Research Center (DKFZ);
Glioblastoma (GBM) is described as a group of highly malignant primary brain tumors and stands as one of the most lethal malignancies. The genetic and cellular characteristics of GBM have been a focal point of ongoing research, revealing that it is a group of heterogeneous diseases with variations in RNA expression, DNA methylation, or cellular composition. Despite the wealth of molecular data available, the lack of transferable pre-clinic models has limited the application of this information to disease classification rather than treatment stratification.
View Article and Find Full Text PDFBiomark Med
January 2025
Department of Clinical Biochemistry, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Purpose: Glioblastoma multiforme (GBM) is an aggressive brain tumor. This meta-analysis investigates the association between HOTAIR expression levels and GBM.
Methods: We searched the literature for studies on HOTAIR expression in GBM patients.
Cureus
December 2024
Department of Neurosurgery, University of Tsukuba Hospital, Tsukuba, JPN.
Dysprosody affects rhythm and intonation in speech, resulting in the impairment of emotional or attitude expression, and usually presents as a negative symptom resulting in a monotonous tone. We herein report a rare case of recurrent glioblastoma (GBM) with dysprosody featuring sing-song speech. A 68-year-old man, formerly left-handed, with right temporal GBM underwent gross total resection.
View Article and Find Full Text PDFHeliyon
January 2025
Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Background: Previous studies mostly use single-type features to establish a prediction model. We aim to develop a comprehensive prediction model that effectively identify patients with poor prognosis for single hepatocellular carcinoma (HCC) based on artificial intelligence (AI). : 236 single HCC patients were studied to establish a comprehensive prediction model.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!