LGG-59. Identifying hidden drivers of low-grade glioma tumor growth Article Swipe
Sean A. Misek
,
Aaron Fultineer
,
Alexandra L. Condurat
,
Kevin N. Zhou
,
David E. Root
,
Nicole S. Persky
,
Jesse S. Boehm
,
Pratiti Bandopadhayay
,
Rameen Beroukhim
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1093/neuonc/noac079.370
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1093/neuonc/noac079.370
Genomic drivers of pediatric low-grade gliomas (pLGGs) converge on alterations that activate the MAPK pathway. However, expression of individual driver oncogenes fails to induce tumor formation with high penetrance and, paradoxically, expression of these oncogenes suppresses growth in vitro. This, combined with the non-monotonic tumor growth rate in patients, suggests that there are “hidden drivers” beyond a single driver oncogene that are necessary to support tumor growth. The goal of this project is to leverage high-throughput functional genomics strategies to identify these hidden drivers of pLGG. Our preliminary data indicates that genes which modulate differentiation are required for the survival of LGG cells, suggesting that these genes may be hidden drivers of LGG tumor growth. Additionally, we hypothesize that secreted factors in the tumor microenvironment regulate pLGG tumor growth, potentially by modulating differentiation. In total, genes which cooperate with pLGG driver oncogenes to promote tumor growth may represent a new class of therapeutic targets and may explain the complex patterns of tumor growth that are observed in patients.
Related Topics
Concepts
Oncogene
Biology
Glioma
Cancer research
Penetrance
Gene
Tumor microenvironment
Phenotype
Tumor cells
Genetics
Cell cycle
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/neuonc/noac079.370
- https://academic.oup.com/neuro-oncology/article-pdf/24/Supplement_1/i102/43945943/noac079.370.pdf
- OA Status
- hybrid
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4282022531Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/neuonc/noac079.370Digital Object Identifier
- Title
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LGG-59. Identifying hidden drivers of low-grade glioma tumor growthWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-06-01Full publication date if available
- Authors
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Sean A. Misek, Aaron Fultineer, Alexandra L. Condurat, Kevin N. Zhou, David E. Root, Nicole S. Persky, Jesse S. Boehm, Pratiti Bandopadhayay, Rameen BeroukhimList of authors in order
- Landing page
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https://doi.org/10.1093/neuonc/noac079.370Publisher landing page
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https://academic.oup.com/neuro-oncology/article-pdf/24/Supplement_1/i102/43945943/noac079.370.pdfDirect link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://academic.oup.com/neuro-oncology/article-pdf/24/Supplement_1/i102/43945943/noac079.370.pdfDirect OA link when available
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Oncogene, Biology, Glioma, Cancer research, Penetrance, Gene, Tumor microenvironment, Phenotype, Tumor cells, Genetics, Cell cycleTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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