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Cited by 269

The DOI matches its Crossref record; 91 of the 91 references it cites were found in a registry or an index.

Cell of Origin for Malignant Gliomas and Its Implication in Therapeutic Development

Open access
Zong, Hui, Parada, Luis F., Baker, Suzanne J.·2015·Cold Spring Harbor Perspectives in Biology

Abstract

Malignant glioma remains incurable despite tremendous advancement in basic research and clinical practice. The identification of the cell(s) of origin should provide deep insights into leverage points for one to halt disease progression. Here we summarize recent studies that support the notion that neural stem cell (NSC), astrocyte, and oligodendrocyte precursor cell (OPC) can all serve as the cell of origin. We also lay out important considerations on technical rigor for further exploring this subject. Finally, we share perspectives on how one could apply the knowledge of cell of origin to develop effective treatment methods. Although it will be a difficult battle, victory should be within reach as along as we continue to assimilate new information and facilitate the collaboration among basic scientists, translational researchers, and clinicians.

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Metadata

Authors
Zong, H., Parada, L. F., & Baker, S. J.
Venue
Cold Spring Harbor Perspectives in Biology
Published
2015-01-29
Volume
7
Issue
5
Pages
a020610
ISSN
1943-0264 (ISSN-L)
OpenAlex
W2012817412
Cited by
269
References
91
Type
posted content
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Cell of Origin for Malignant Gliomas and Its Implication in Therapeutic Development. https://app.cochat.ai/papers/10.1101/cshperspect.a020610
The paper
Zong, H., Parada, L. F., & Baker, S. J. (2015). Cell of Origin for Malignant Gliomas and Its Implication in Therapeutic Development. Cold Spring Harbor Perspectives in Biology. https://doi.org/10.1101/cshperspect.a020610

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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.