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Cited by 284

The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.

Hypoxia in the glioblastoma microenvironment: shaping the phenotype of cancer stem-like cells

Open access
Colwell, Nicole, Larion, Mioara, Giles, Amber J., Seldomridge, Ashlee N., Sizdahkhani, Saman, Gilbert, Mark R., Park, Deric M.·2017·Neuro-Oncology

Abstract

Glioblastoma is the most common and aggressive malignant primary brain tumor. Cellular heterogeneity is a characteristic feature of the disease and contributes to the difficulty in formulating effective therapies. Glioma stem-like cells (GSCs) have been identified as a subpopulation of tumor cells that are thought to be largely responsible for resistance to treatment. Intratumoral hypoxia contributes to maintenance of the GSCs by supporting the critical stem cell traits of multipotency, self-renewal, and tumorigenicity. This review highlights the interaction of GSCs with the hypoxic tumor microenvironment, exploring the mechanisms underlying the contribution of GSCs to tumor vessel dynamics, immune modulation, and metabolic alteration.

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Crossref · 10.1093/neuonc/now258

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Metadata

Authors
Colwell, N., Larion, M., Giles, A. J., Seldomridge, A. N., Sizdahkhani, S., Gilbert, M. R., & Park, D. M.
Venue
Neuro-Oncology
Published
2017-01-19
Volume
19
Issue
7
Pages
887-896
ISSN
  • 1522-8517 (ISSN-L)
  • 1523-5866
OpenAlex
W2624969848
Cited by
284
References
95
FWCI
4.95
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Hypoxia in the glioblastoma microenvironment: shaping the phenotype of cancer stem-like cells. https://app.cochat.ai/papers/10.1093/neuonc/now258
The paper
Colwell, N., Larion, M., Giles, A. J., Seldomridge, A. N., Sizdahkhani, S., Gilbert, M. R., & Park, D. M. (2017). Hypoxia in the glioblastoma microenvironment: shaping the phenotype of cancer stem-like cells. Neuro-Oncology. https://doi.org/10.1093/neuonc/now258

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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.