ReviewBosnian journal of basic medical sciences2019
Genetic secrets of long-term glioblastoma survivors.
Review in Bosnian journal of basic medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
29 citing papers in PubMed, 54 citations in OpenAlex.
- Does Limited-Margin Radiotherapy Change the Recurrence Pattern and Survival of Patients With IDH-Wild-Type Glioblastoma? Analysis and Validation of a Different Approach.Asia-Pacific journal of clinical oncology · 2026Article
- Unrevealing the dual role of paired box and sex determining region Y related high mobility group box in glioblastoma.Discover oncology · 2026Review
- Identifying survival subtypes with autoencoder using multiple types of high-dimensional genomic data from studies of glioblastoma multiforme.Briefings in bioinformatics · 2025Article
- Response Assessment in Long-Term Glioblastoma Survivors Using a Multiparametric MRI-Based Prediction Model.Brain sciences · 2025Article
- Nanotechnology in brain cancer treatment: The role of gold nanoparticles as therapeutic enhancers.Ibrain · 2025Review
- Injectable Tumoricidal Neural Stem Cell-Laden Hydrogel for Treatment of Glioblastoma Multiforme-An In Vivo Safety, Persistence, and Efficacy Study.Pharmaceutics · 2024Article
- Unite and Conquer: Association of Two G-Quadruplex Aptamers Provides Antiproliferative and Antimigration Activity for Cells from High-Grade Glioma Patients.Pharmaceuticals (Basel, Switzerland) · 2024Article
- Estimating Progression-Free Survival in Patients with Primary High-Grade Glioma Using Machine Learning.Journal of clinical medicine · 2024Article
- Engineering Tumor-Specific Nanotheranostic Agent with MR Image-Guided NIR-II & -III Photodynamic Therapy to Combat Against Deeply Seated Orthotopic Glioblastoma.Small science · 2024Article
- Genetic Prognostic Factors in Adult Diffuse Gliomas: A 10-Year Experience at a Single Institution.Cancers · 2024Article
- Glioma Stem Cells-Features for New Therapy Design.Cancers · 2024Review
- Pyrosequencing Analysis of O-6-Methylguanine-DNA Methyltransferase Methylation at Different Cut-Offs of Positivity Associated with Treatment Response and Disease-Specific Survival in Isocitrate Dehydrogenase-Wildtype Grade 4 Glioblastoma.International journal of molecular sciences · 2024Article
- Generation and banking of patient-derived glioblastoma organoid and its application in cancer neuroscience.American journal of cancer research · 2024Article
- Epithelial Membrane Protein-3 and Chitinase-3-like Protein-1 as New Prognostic Predictors of Glioma, a Two-Gene Study.Current oncology (Toronto, Ont.) · 2023Article
- Imaging Spectrum of the Developing Glioblastoma: A Cross-Sectional Observation Study.Current oncology (Toronto, Ont.) · 2023Observational
- Regulation of Cancer Stem Cells and Epithelial-Mesenchymal Transition by CTNNAL1 in Lung Cancer and Glioblastoma.Biomedicines · 2023Article
- Interstitial Photodynamic Therapy of Glioblastomas: A Long-Term Follow-up Analysis of Survival and Volumetric MRI Data.Cancers · 2023Article
- Comparing tumor microRNA profiles of patients with long‑ and short‑term‑surviving glioblastoma.Molecular medicine reports · 2023Article
- Machine learning in metastatic cancer research: Potentials, possibilities, and prospects.Computational and structural biotechnology journal · 2023Review
- Glioblastoma multiforme: Diagnosis, treatment, and invasion.Journal of biomedical research · 2022Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glioblastomas are the most aggressive and lethal primary astrocytic tumors of the central nervous system. They account for 60% to 70% of all gliomas and the majority are diagnosed in Caucasian male patients at advanced age. Genetic analyses of glioblastoma show a great intra- and inter-tumor heterogeneity, which opens up a debate about its cellular origin. Different types of brain cells, including astrocytes, neural stem cells, oligodendrocyte precursor cells and glioblastoma stem cells are proposed to have a role in tumor initiation and spreading; however, data is still inconclusive. Due to short life expectancy, long-term glioblastoma survivors are defined as patients who live longer than two years post-diagnosis. Extreme survivors, living 10 years or more after diagnosis, comprise less than 1% of all patients. Molecular testing indicates genetic differences between short- and long-term survivors with glioblastoma. The most informative are IDH1/2 gene mutations and MGMT promoter methylation, which are associated with a better response to standard clinical care. Moreover, a decreased expression of the CHI3L1, FBLN4, EMP3, IGFBP2, IGFBP3, LGALS3, MAOB, PDPN, SERPING1 and TIMP1 genes has been associated with prolonged survival. In addition, emerging evidence suggests the role of different microRNAs in predicting patient survival. Other factors that may affect the survival of glioblastoma patients include clinical/demographic characteristics such as seizures at presentation, age at diagnosis, and the extent of surgical resection. Because of the small number of long-term survivors with glioblastoma, comparative studies on genetic differences between short- and long-term survivors are challenging. To improve patient management and clinical outcomes, a thorough "omics" approach is necessary for identifying differences between short- and long-term survivors with glioblastoma.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.