Glioblastoma
What's New
Last Posted: May 02, 2024
- Profiling the molecular and clinical landscape of glioblastoma utilizing the Oncology Research Information Exchange Network brain cancer database.
Alexandra N Demetriou et al. Neurooncol Adv 2024 6(1) vdae046 - Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques.
Samin Babaei Rikan et al. Sci Rep 2024 14(1) 2371 - Clinical Feature Ranking Based on Ensemble Machine Learning Reveals Top Survival Factors for Glioblastoma Multiforme.
Gabriel Cerono et al. J Healthc Inform Res 2024 8(1) 1-18 - The application value of deep learning in the background of precision medicine in glioblastoma.
Pengyu Chen et al. Sci Prog 2024 107(1) 368504231223353 - The Biological and Clinical Role of the Telomerase Reverse Transcriptase Gene in Glioblastoma: A Potential Therapeutic Target?
Vincenzo Di Nunno et al. Cells 2024 13(1) - Insights for precision oncology from the integration of genomic and clinical data of 13,880 tumors from the 100,000 Genomes Cancer Programme
A Sosinsky et al, Nature Medicine, January 11, 2024 - Actionable molecular alterations in newly diagnosed and recurrent IDH1/2 wild-type glioblastoma patients and therapeutic implications: a large mono-institutional experience using extensive next-generation sequencing analysis.
Marta Padovan et al. Eur J Cancer 2023 191112959 - Deep Learning Approaches for Glioblastoma Prognosis in Resource-Limited Settings: A Study using Basic Patient Demographic, Clinical, and Surgical Inputs.
Marc Ghanem et al. World Neurosurg - The Glioma-IRE project - Molecular profiling in patients with glioma: steps toward an individualized diagnostic and therapeutic approach.
Veronica Villani et al. Journal of translational medicine 2023 21(1) 215 - Integrated molecular and clinical analysis of BRAF-mutant glioma in adults.
Karisa C Schreck et al. NPJ precision oncology 2023 7(1) 23 - Differentiation of Glioblastoma and Brain Metastases by MRI-Based Oxygen Metabolomic Radiomics and Deep Learning.
Stadlbauer Andreas et al. Metabolites 2022 12(12) - Study protocol of the GLOW study: maximising treatment options for recurrent glioblastoma patients by whole genome sequencing-based diagnostics-a prospective multicenter cohort study.
van Opijnen Mark P et al. BMC medical genomics 2022 15(1) 233 - Classifying primary central nervous system lymphoma from glioblastoma using deep learning and radiomics based machine learning approach - a systematic review and meta-analysis.
Guha Amrita et al. Frontiers in oncology 2022 12884173 - Prognostic risk stratification of gliomas using deep learning in digital pathology images.
Chunduru Pranathi et al. Neuro-oncology advances 2022 4(1) vdac111 - Regional 18F-fluoromisonidazole PET images generated from multiple advanced MR images using neural networks in glioblastoma.
Qin Jianhua et al. Medicine 2022 101(30) e29572 - Inherited genetics of adult diffuse glioma and polygenic risk scores-a review.
Eckel-Passow Jeanette E et al. Neuro-oncology practice 2022 9(4) 259-270 - Clinical Application of Comprehensive Genomic Profiling Tests for Diffuse Gliomas.
Omura Takaki et al. Cancers 2022 14(10) - The Utility of Conventional Amino Acid PET Radiotracers in the Evaluation of Glioma Recurrence also in Comparison with MRI.
Santo Giulia et al. Diagnostics (Basel, Switzerland) 2022 12(4) - Genomic Analysis of Tumors from Patients with Glioblastoma with Long-Term Response to Afatinib.
Owen Scott et al. OncoTargets and therapy 2022 15367-380 - Integrated analysis of single-cell RNA-seq dataset and bulk RNA-seq dataset constructs a prognostic model for predicting survival in human glioblastoma.
Lai Wenwen et al. Brain and behavior 2022 e2575 - A Deep Learning-Based Framework for Supporting Clinical Diagnosis of Glioblastoma Subtypes.
Munquad Sana et al. Frontiers in genetics 2022 13855420 - A Comparative and Summative Study of Radiomics-based Overall Survival Prediction in Glioblastoma Patients.
Ruan Zhuoying et al. Journal of computer assisted tomography 2022 - Prospective genomically-guided identification of 'early/evolving' and 'undersampled' IDH-wildtype glioblastoma leads to improved clinical outcomes.
Zhang Yalan et al. Neuro-oncology 2022 - Detection of TERT Promoter Mutations as a Prognostic Biomarker in Gliomas: Methodology, Prospects, and Advances.
Hasanau Tsimur et al. Biomedicines 2022 10(3) - Genome-Wide Analysis for the Regulation of Gene Alternative Splicing by DNA Methylation Level in Glioma and its Prognostic Implications.
Yang Zeyuan et al. Frontiers in genetics 2022 13799913 - Clinical utility of targeted next generation sequencing assay in IDH-wildtype glioblastoma for therapy decision-making.
Lim-Fat Mary Jane et al. Neuro-oncology 2021 - Radiomics signature for temporal evolution and recurrence patterns of glioblastoma using multimodal magnetic resonance imaging.
Chougule Tanay et al. NMR in biomedicine 2021 e4647 - Molecular profile to guide personalized medicine in adult patients with primary brain tumors: results from the ProfiLER trial.
Bonneville-Levard Alice et al. Medical oncology (Northwood, London, England) 2021 39(1) 4 - MRI radiomics to differentiate between low grade glioma and glioblastoma peritumoral region.
Malik Nauman et al. Journal of neuro-oncology 2021 - Prognostic implications of epidermal and platelet-derived growth factor receptor alterations in 2 cohorts of IDHwt glioblastoma.
Alnahhas Iyad et al. Neuro-oncology advances 2021 3(1) vdab127 - Ensemble based machine learning approach for prediction of glioma and multi-grade classification.
Chandra Joshi Rakesh et al. Computers in biology and medicine 2021 137104829 - Fully automated analysis combining [F]-FET-PET and multiparametric MRI including DSC perfusion and APTw imaging: a promising tool for objective evaluation of glioma progression.
Paprottka K J et al. European journal of nuclear medicine and molecular imaging 2021 - Combination chemotherapy versus temozolomide for patients with methylated MGMT (m-MGMT) glioblastoma: results of computational biological modeling to predict the magnitude of treatment benefit.
Castro Michael et al. Journal of neuro-oncology 2021 - Differential Predictors and Clinical Implications Associated With Long-Term Survivors in IDH Wildtype and Mutant Glioblastoma.
Jiang Haihui et al. Frontiers in oncology 2021 11632663 - Predictive Role of the Apparent Diffusion Coefficient and MRI Morphologic Features on IDH Status in Patients With Diffuse Glioma: A Retrospective Cross-Sectional Study.
Zhang Jun et al. Frontiers in oncology 2021 11640738 - Deep Neural Network for Differentiation of Brain Tumor Tissue Displayed by Confocal Laser Endomicroscopy.
Ziebart Andreas et al. Frontiers in oncology 2021 11668273 - BRAF more frequently co-occurs with IDH1/2 mutations in adult patients with gliomas than in patients harboring BRAF but without a survival advantage.
Wang Wei et al. BMC neurology 2021 21(1) 195 - Deep Radiogenomics of Lower-Grade Gliomas: Convolutional Neural Networks Predict Tumor Genomic Subtypes Using MR Images.
Buda Mateusz et al. Radiology. Artificial intelligence 2020 2(1) e180050 - Machine learning-based radiomic evaluation of treatment response prediction in glioblastoma.
Patel M et al. Clinical radiology 2021 - The Role of Mismatch Repair in Glioblastoma Multiforme Treatment Response and Resistance.
Leelatian Nalin et al. Neurosurgery clinics of North America 2021 32(2) 171-180 - The Nomogram of MRI-based Radiomics with Complementary Visual Features by Machine Learning Improves Stratification of Glioblastoma Patients: A Multicenter Study.
Xu Yuyun et al. Journal of magnetic resonance imaging : JMRI 2021 Feb - GLIMPSE: a glioblastoma prognostication model using ensemble learning-a surveillance, epidemiology, and end results study.
Samara Kamel A et al. Health information science and systems 2021 Dec 9(1) 5 - Evaluation of an Assay for MGMT Gene Promoter Methylation in Glioblastoma Samples.
Filipits Martin et al. Anticancer research 2020 Nov 40(11) 6229-6236 - Utility of methylthioadenosine phosphorylase immunohistochemical deficiency as a surrogate for CDKN2A homozygous deletion in the assessment of adult-type infiltrating astrocytoma.
Satomi Kaishi et al. Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc 2020 Oct - Novel Molecular Markers in Glioblastoma-Benefits of Liquid Biopsy.
Birkó Zsuzsanna et al. International journal of molecular sciences 2020 Oct 21(20) - Incorporating genomic signatures into surgical and medical decision-making for elderly glioblastoma patients.
Ene Chibawanye I et al. Neurosurgical focus 2020 Oct 49(4) E11 - Development of a Nomogram With Alternative Splicing Signatures for Predicting the Prognosis of Glioblastoma: A Study Based on Large-Scale Sequencing Data.
Wang Zihao et al. Frontiers in oncology 2020 101257 - Diffusion Histology Imaging Combining Diffusion Basis Spectrum Imaging (DBSI) and Machine Learning Improves Detection and Classification of Glioblastoma Pathology.
Ye Zezhong et al. Clinical cancer research : an official journal of the American Association for Cancer Research 2020 Jul - Targeted next-generation sequencing of adult gliomas for retrospective prognostic evaluation and up-front diagnostics.
Petersen Jeanette K et al. Neuropathology and applied neurobiology 2020 Jul - A fully automated artificial intelligence method for non-invasive, imaging-based identification of genetic alterations in glioblastomas.
Calabrese Evan et al. Scientific reports 2020 Jul 10(1) 11852
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Rare Disease PHGKB is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other information that address the public health impact and translation of genomic and other precision health discoveries into improved health outcomes related to rare diseases...more
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Selected Rare Diseases
- Alpha-1 Antitrypsin Deficiency
- Amyotrophic Lateral Sclerosis
- Brugada Syndrome
- Cerebral Palsy
- Cystic Fibrosis
- Duchenne Muscular Dystrophy
- Eclampsia
- Erythema Multiforme
- Familial Mediterranean Fever
- Fragile X Syndrome
- Gaucher Disease
- Glomerulonephritis
- Graves Disease
- Hemophilia
- Huntington Disease
- Microcephaly
- Myasthenia Gravis
- Phenylketonuria
- Retinitis Pigmentosa
- Severe Combined Immunodeficiency
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
- Page last updated:May 09, 2024
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