2014
DOI: 10.1016/j.cell.2013.12.029
|View full text |Cite
|
Sign up to set email alerts
|

Mathematical Modeling of PDGF-Driven Glioblastoma Reveals Optimized Radiation Dosing Schedules

Abstract: SUMMARY Glioblastomas (GBMs) are the most common and malignant primary brain tumors and are aggressively treated with surgery, chemotherapy, and radiotherapy. Despite this treatment, recurrence is inevitable and survival has improved minimally over the last 50 years. Recent studies have suggested that GBMs exhibit both heterogeneity and instability of differentiation states and varying sensitivities of these states to radiation. Here, we employed an iterative combined theoretical and experimental strategy that… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

8
242
0
8

Year Published

2014
2014
2023
2023

Publication Types

Select...
8
2

Relationship

1
9

Authors

Journals

citations
Cited by 252 publications
(264 citation statements)
references
References 61 publications
(81 reference statements)
8
242
0
8
Order By: Relevance
“…When mutations can be found in nearly all possible coding regions within a tumor, resistance to most drugs seems highly likely. Read et al (37) pointed out that aggressive strategies against cancerous cells are effective only in the absence of resistance at treatment and various strategies for administering drugs in the face of resistant clones have been proposed (38)(39)(40)(41)(42). Finally, a key feature of the non-Darwinian model is the rapidity with which mutations accrue.…”
Section: Discussionmentioning
confidence: 99%
“…When mutations can be found in nearly all possible coding regions within a tumor, resistance to most drugs seems highly likely. Read et al (37) pointed out that aggressive strategies against cancerous cells are effective only in the absence of resistance at treatment and various strategies for administering drugs in the face of resistant clones have been proposed (38)(39)(40)(41)(42). Finally, a key feature of the non-Darwinian model is the rapidity with which mutations accrue.…”
Section: Discussionmentioning
confidence: 99%
“…By use of a model that takes into account rates of proliferation and invasion in combination with imaging data, it has been proposed that IDH1 mutant tumors are actually less proliferative and more invasive (Baldock et al 2014). Clinically relevant parameters, such as identifying optimal radiation schedules, have also been modeled using genetically engineered mice (Leder et al 2014). Additionally, quantitative approaches have been developed to model the events leading to intertumoral and intratumoral heterogeneity in both human patient specimens (Sottoriva et al 2013) and mouse models (Cheng et al 2012).…”
Section: Reducing Complexity Through Mathematical Modelingmentioning
confidence: 99%
“…32,89 Oligodendrogenesis relies on platelet-derived growth factor (PDGF); increased PDGF signaling has been demonstrated to cause abnormal NSC proliferation and glioma formation. 40,44,56 Putative CSCs selected using common NSC markers have demonstrated the ability to form orthotopic tumors in nude mice that more closely resemble human GBM than could isolated cells lacking these markers. 22,91,92 Compared with the remaining tumor cells, CSCs are thought to be metabolically unique because of data demonstrating epigenetic DNA changes and a role for microRNAs in regulating gene expression.…”
Section: Glioblastoma and Cancer Stem Cellsmentioning
confidence: 99%