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Identification of Novel Molecular and Clinical Biomarkers of Survival in Glioblastoma Multiforme Patients: A Study Based on The Cancer Genome Atlas Data.
- Source :
-
BioMed Research International . 4/4/2024, Vol. 2024, p1-8. 8p. - Publication Year :
- 2024
-
Abstract
- Glioblastoma multiforme (GBM) is the most prevalent type of brain tumour; although advancements in treatment have been made, the median survival time for GBM patients has persisted at 15 months. This study is aimed at investigating the genetic alterations and clinical features of GBM patients to find predictors of survival. GBM patients' methylation and gene expression data along with clinical information from TCGA were retrieved. The most overrepresented pathways were identified independently for each omics dataset. From the genes found in at least 30% of these pathways, one gene that was identified in both sets was further examined using the Kaplan-Meier method for survival analysis. Additionally, three groups of patients who started radio and chemotherapy at different times were identified, and the influence of these variations in treatment modality on patient survival was evaluated. Four pathways that seemed to negatively impact survival and two with the opposite effect were identified. The methylation status of PRKCB was highlighted as a potential novel biomarker for patient survival. The study also found that treatment with chemotherapy prior to radiotherapy can have a significant impact on patient survival, which could lead to improvements in clinical management and therapeutic approaches for GBM patients. [ABSTRACT FROM AUTHOR]
- Subjects :
- *METHYLATION
*GLIOMAS
*MICROBIAL virulence
*CANCER patient medical care
*SYMPTOMS
*CELLULAR signal transduction
*DESCRIPTIVE statistics
*DECISION making in clinical medicine
*GENE expression
*KAPLAN-Meier estimator
*CANCER chemotherapy
*MESSENGER RNA
*GENETIC mutation
*TUMORS
*SURVIVAL analysis (Biometry)
*CONFIDENCE intervals
*MOLECULAR biology
*BIOMARKERS
*PROPORTIONAL hazards models
*REGRESSION analysis
*GENOMES
Subjects
Details
- Language :
- English
- ISSN :
- 23146133
- Volume :
- 2024
- Database :
- Academic Search Index
- Journal :
- BioMed Research International
- Publication Type :
- Academic Journal
- Accession number :
- 176466116
- Full Text :
- https://doi.org/10.1155/2024/5582424