Abstract 233: OTX2 copy number gain is a driver event in Shh-independent medulloblastomas
Bibliographic record
Abstract
Abstract Medulloblastoma is the most common malignant brain tumor in children. With the exception of the Sonic Hedgehog (Shh) and Wnt pathways, the molecular events contributing to medulloblastoma tumorigenesis are poorly understood. In this study, we performed DNA copy number analysis upon a large cohort (n=201) of primary medulloblastomas to identify recurrent copy number events of these tumors. The most commonly gained region of the medulloblastoma genome (gained in 21% of tumors) contains the single gene OTX2, which encodes a developmental transcription factor involved in regionalization of the neural tube and specification of various CNS lineages. We found that OTX2 is also commonly overexpressed (74%, n=103) in these tumors. Molecular classification of medulloblastomas identified four distinct subtypes based on gene expression signature. OTX2 overexpression and copy number gain was limited to tumors not exhibiting a signature of Shh pathway activation. We found that OTX2 is necessary for intracranial xenograft formation by medulloblastoma cells and that its expression promotes xenograft tumor formation by immortalized primary cells. Finally, we determined that OTX2 regulates the medulloblastoma oncogene MYC. As a transcription factor, targeting OTX2 function with small molecules presents a challenge. However, retinoids can reduce OTX2 expression and inhibit medulloblastoma growth in vitro, and we have demonstrated that OTX2 silencing is required for this effect. In sum, these studies identify OTX2 as a common but targetable oncogene in Shh-independent medulloblastomas. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 233.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".