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| Status |
Public on Jan 01, 2021 |
| Title |
Enhancer landscape of meningioma [ChIP-seq] |
| Organism |
Homo sapiens |
| Experiment type |
Genome binding/occupancy profiling by high throughput sequencing
|
| Summary |
Meningiomas are the most common primary intracranial tumor. However, surgical resection and radiation frequently fail to eliminate high grade tumors, leading to significant morbidity and mortality. Predicting which tumors will recur rapidly is critical to effective treatment strategies. To address the prognostic challenges and dearth of therapeutic targets, we interrogated the enhancer landscape of a diverse cohort of meningiomas. Enhancers robustly stratified meningiomas into three biologically distinct groups and identified a subset of tumors with a poor prognosis, independent of histological grading. Integrating enhancer networks with transcriptional profiles revealed unique lineage transcriptional regulators associated with each subgroup. A strong hormonal epidemiologic association is well-characterized in meningiomas, but mechanistic insight remains lacking. We identified differential hormonal regulators that stratified between subgroups, and implicated progesterone receptor in maintaining the super enhancer network of a subset of tumors. Super enhancers marked critical and druggable dependencies across a panel of meningioma models.
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| Overall design |
33 samples from snap frozen meningioma tissue and 3 arachnoid granulation models were analyzed with H3K27ac ChIP-seq with matching input sequencing. 13 samples have matched RNA-seq.
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| Contributor(s) |
Prager B, Rich J |
| Citation(s) |
32703768 |
| Submission date |
Oct 31, 2019 |
| Last update date |
Apr 18, 2021 |
| Contact name |
Briana Prager |
| E-mail(s) |
briana.prager@gmail.com
|
| Organization name |
Cleveland Clinic
|
| Street address |
9500 Euclid Ave.
|
| City |
Cleveland |
| State/province |
OH |
| ZIP/Postal code |
44195 |
| Country |
USA |
| |
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| Platforms (1) |
| GPL16791 |
Illumina HiSeq 2500 (Homo sapiens) |
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| Samples (72)
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| This SubSeries is part of SuperSeries: |
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| Relations |
| BioProject |
PRJNA586822 |
| SRA |
SRP227790 |
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