The DOI matches its Crossref record; 186 of the 186 references it cites were found in a registry or an index.
Tumor Cell Infiltration into the Brain in Glioblastoma: From Mechanisms to Clinical Perspectives
Open accessAbstract
Glioblastoma is the most common and malignant primary brain tumor, defined by its highly aggressive nature. Despite the advances in diagnostic and surgical techniques, and the development of novel therapies in the last decade, the prognosis for glioblastoma is still extremely poor. One major factor for the failure of existing therapeutic approaches is the highly invasive nature of glioblastomas. The extreme infiltrating capacity of tumor cells into the brain parenchyma makes complete surgical removal difficult; glioblastomas almost inevitably recur in a more therapy-resistant state, sometimes at distant sites in the brain. Therefore, there are major efforts to understand the molecular mechanisms underpinning glioblastoma invasion; however, there is no approved therapy directed against the invasive phenotype as of now. Here, we review the major molecular mechanisms of glioblastoma cell invasion, including the routes followed by glioblastoma cells, the interaction of tumor cells within the brain environment and the extracellular matrix components, and the roles of tumor cell adhesion and extracellular matrix remodeling. We also include a perspective of high-throughput approaches utilized to discover novel players for invasion and clinical targeting of invasive glioblastoma cells.
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1 retracted
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Metadata
- Authors
- Seker-Polat, F., Pinarbasi Degirmenci, N., Solaroglu, I., & Bagci-Onder, T.
- Venue
- Cancers
- Publisher
- MDPI AG
- Published
- 2022-01-17
- Volume
- 14
- Issue
- 2
- Pages
- 443
- ISSN
- 2072-6694 (ISSN-L)
- OpenAlex
- W4206378965
- Cited by
- 253
- References
- 186
- FWCI
- 24.16
- Type
- journal article
- Language
- en
- Open access
- gold
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- Seker-Polat, F., Pinarbasi Degirmenci, N., Solaroglu, I., & Bagci-Onder, T. (2022). Tumor Cell Infiltration into the Brain in Glioblastoma: From Mechanisms to Clinical Perspectives. Cancers. https://doi.org/10.3390/cancers14020443
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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.
