2019
DOI: 10.1002/cnr2.1216
|View full text |Cite
|
Sign up to set email alerts
|

Current clinical management of patients with glioblastoma

Abstract: BackgroundGlioblastoma (GB) is the most aggressive primary brain tumor, historically resistant to treatment, and with overall fatal outcome.Recent findingsRecently, several molecular subgroups and rare genetic alterations have been described in GB. In this review article, we will describe the current clinical management of patients with GB in the United States, discuss selected next‐generation molecular‐targeted therapies in GB, and present ongoing clinical trials for patients with GB. This review is intended … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
14
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 11 publications
(16 citation statements)
references
References 111 publications
0
14
0
Order By: Relevance
“…In addition, while glioblastoma tumors are highly heterogeneous, it is likely that glioblastoma patients will be classified, based on their response to different treatments and metadata information, only into a small number of “responder” groups. For example, thus far only three tumor subtypes, four cancer stem cell transcriptional states and a few biomarker-based predictors of therapy response ( MGMT methylation and IDH1 mutation) have been described [ 37 ]. Thus, it is possible that using patient-derived in vitro models to screen a small and carefully selected list of compounds that inhibit key molecular targets across different glioblastoma subtypes can increase feasibility and efficiency for its rapid implementation in precision neuro-oncology [ 37 ].…”
Section: Resultsmentioning
confidence: 99%
See 4 more Smart Citations
“…In addition, while glioblastoma tumors are highly heterogeneous, it is likely that glioblastoma patients will be classified, based on their response to different treatments and metadata information, only into a small number of “responder” groups. For example, thus far only three tumor subtypes, four cancer stem cell transcriptional states and a few biomarker-based predictors of therapy response ( MGMT methylation and IDH1 mutation) have been described [ 37 ]. Thus, it is possible that using patient-derived in vitro models to screen a small and carefully selected list of compounds that inhibit key molecular targets across different glioblastoma subtypes can increase feasibility and efficiency for its rapid implementation in precision neuro-oncology [ 37 ].…”
Section: Resultsmentioning
confidence: 99%
“…For example, thus far only three tumor subtypes, four cancer stem cell transcriptional states and a few biomarker-based predictors of therapy response ( MGMT methylation and IDH1 mutation) have been described [ 37 ]. Thus, it is possible that using patient-derived in vitro models to screen a small and carefully selected list of compounds that inhibit key molecular targets across different glioblastoma subtypes can increase feasibility and efficiency for its rapid implementation in precision neuro-oncology [ 37 ]. With this in mind, we first focused on the identification of molecular targets that contribute to different biological processes in glioblastoma (invasion, cell death resistance, transition between transcriptional states, cell–ECM adhesion, cell–cell adhesion, tumor metabolism, etc.)…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations