The DOI matches its Crossref record; 106 of the 106 references it cites were found in a registry or an index.
Malignant Glioma: Lessons from Genomics, Mouse Models, and Stem Cells
Open accessAbstract
Eighty percent of malignant tumors that develop in the central nervous system are malignant gliomas, which are essentially incurable. Here, we discuss how recent sequencing studies are identifying unexpected drivers of gliomagenesis, including mutations in isocitrate dehydrogenase 1 and the NF-κB pathway, and how genome-wide analyses are reshaping the classification schemes for tumors and enhancing prognostic value of molecular markers. We discuss the controversies surrounding glioma stem cells and explore how the integration of new molecular data allows for the generation of more informative animal models to advance our knowledge of glioma's origin, progression, and treatment.
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Cites
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Cited by
A restricted cell population propagates glioblastoma growth after chemotherapy
Chen, J., Li, Y., Yu, T.-S., McKay, R. M., Burns, D. K., Kernie, S. G., & Parada, L. F. (2012) · Nature · doi:10.1038/nature11287 · Cited by 2,354
Self-citationGlioblastoma: Overview of Disease and Treatment
Davis, M. (2016) · Clinical Journal of Oncology Nursing · doi:10.1188/16.cjon.s1.2-8 · Cited by 1,205
Hol, E. M., & Pekny, M. (2015) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2015.02.004 · Cited by 917
A neurocentric perspective on glioma invasion
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Heterogeneity of epidermal growth factor receptor signalling networks in glioblastoma
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Metadata
- Authors
- Chen, J., McKay, R. M., & Parada, L. F.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2012-03
- Volume
- 149
- Issue
- 1
- Pages
- 36-47
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2037173620
- Cited by
- 527
- References
- 106
- FWCI
- 25.68
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.