BIOL-23. LOSS OF MICRORNAS COOPERATES WITH TUMOR SUPPRESSORS TO INITIATE MYC-DEPENDENT METASTATIC MEDULLOBLASTOMA
Bibliographic record
Abstract
Abstract To determine the role of microRNA regulation in brain tumor development, we incorporated a conditional allele of the microRNA processing enzyme Dicer to a glioma mouse model based on inactivation of the tumor suppressors Nf1, Trp53, and Pten using the Nestin-creERT2 transgene. Loss of Dicer and tumor suppressors at adult ages led to glioma development; however, mutant mice tamoxifen induced at early postnatal ages developed medulloblastoma (MB) instead of glioma. The switch in tumor spectrum occurred with 100% penetrance and the cerebellar tumors were histologically indistinguishable from human MB. The minimum genetic mutations required for MB formation were Dicer1 and Trp53, while additional loss of Pten produced more invasive tumors with leptomeningeal metastasis. Analysis of tumor transcriptome and MB subtype-specific markers show that Dicer tumors most resemble human Sonic Hedgehog (SHH) MB. The presence of leptomeningeal metastasis, Trp53 loss and upregulation of Mycn and Gli2 in the setting of activated Shh signaling suggests that this model phenocopies extremely high risk p53-mutated SHH MB, which carries poor prognosis and is associated with the majority of treatment failures in SHH MB. Analysis of pre-symptomatic mutant mice showed proliferative defects and retained cells in the external granule cell layer (EGL), suggesting that tumors may arise from cerebellar granule neuron precursors (CGNPs). However, targeting CGNPs using Math1-creERT2 did not lead to MB development, suggesting that an earlier EGL precursor may be required for tumorigenesis. Dicer tumors exhibit reduced microRNAs and RNA-induced silencing complexes consistent with loss of Dicer. One of these downregulated microRNAs, miR-101, is a regulator of Mycn and its overexpression leads to Mycn downregulation and inhibition of MB growth. Likewise, genetic and pharmacologic inhibition of Myc leads to inhibition of MB growth. These studies demonstrate a role for microRNAs in Myc-dependent MB development and show an alternative pathway for SHH MB tumorigenesis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".