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Cited by 269

The DOI matches its Crossref record; 196 of the 196 references it cites were found in a registry or an index.

Molecular Mechanisms of Treatment Resistance in Glioblastoma

Open access
Ou, Alexander, Yung, W. K. Alfred, Majd, Nazanin·2020·International Journal of Molecular Sciences

Abstract

Glioblastoma is the most common malignant primary brain tumor in adults and is almost invariably fatal. Despite our growing understanding of the various mechanisms underlying treatment failure, the standard-of-care therapy has not changed over the last two decades, signifying a great unmet need. The challenges of treating glioblastoma are many and include inadequate drug or agent delivery across the blood–brain barrier, abundant intra- and intertumoral heterogeneity, redundant signaling pathways, and an immunosuppressive microenvironment. Here, we review the innate and adaptive molecular mechanisms underlying glioblastoma’s treatment resistance, emphasizing the intrinsic challenges therapeutic interventions must overcome—namely, the blood–brain barrier, tumoral heterogeneity, and microenvironment—and the mechanisms of resistance to conventional treatments, targeted therapy, and immunotherapy.

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Crossref · 10.3390/ijms22010351

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Metadata

Authors
Ou, A., Yung, W. K. A., & Majd, N.
Venue
International Journal of Molecular Sciences
Publisher
MDPI AG
Published
2020-12-31
Volume
22
Issue
1
Pages
351
ISSN
1422-0067 (ISSN-L)
OpenAlex
W3114996910
Cited by
269
References
196
FWCI
12.13
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Molecular Mechanisms of Treatment Resistance in Glioblastoma. https://app.cochat.ai/papers/10.3390/ijms22010351
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Ou, A., Yung, W. K. A., & Majd, N. (2020). Molecular Mechanisms of Treatment Resistance in Glioblastoma. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms22010351

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.