The DOI matches its Crossref record; 236 of the 236 references it cites were found in a registry or an index.
Mechanisms of temozolomide resistance in glioblastoma - a comprehensive review
Open accessAbstract
Glioblastoma (GBM) is the most common primary malignant brain tumor in adults and has an exceedingly low median overall survival of only 15 months. Current standard-of-care for GBM consists of gross total surgical resection followed by radiation with concurrent and adjuvant chemotherapy. Temozolomide (TMZ) is the first-choice chemotherapeutic agent in GBM; however, the development of resistance to TMZ often becomes the limiting factor in effective treatment. While O6-methylguanine-DNA methyltransferase repair activity and uniquely resistant populations of glioma stem cells are the most well-known contributors to TMZ resistance, many other molecular mechanisms have come to light in recent years. Key emerging mechanisms include the involvement of other DNA repair systems, aberrant signaling pathways, autophagy, epigenetic modifications, microRNAs, and extracellular vesicle production. This review aims to provide a comprehensive overview of the clinically relevant molecular mechanisms and their extensive interconnections to better inform efforts to combat TMZ resistance.
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1 retracted
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Cited by
Tomar, M. S., Kumar, A., Srivastava, C., & Shrivastava, A. (2021) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2021.188616 · Cited by 325
Glioblastoma Therapy: Past, Present and Future
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Metadata
- Authors
- Singh, N., Miner, A., Hennis, L., & Mittal, S.
- Venue
- Cancer Drug Resistance
- Publisher
- OAE Publishing Inc.
- Published
- 2020
- Volume
- 4
- Pages
- 17-43
- ISSN
- 2578-532X (ISSN-L)
- OpenAlex
- W3109004754
- Cited by
- 398
- References
- 236
- FWCI
- 16.28
- Type
- journal article
- Language
- en
- Open access
- diamond
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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.
