PDTB-22. THE ROLE OF THE CHROMOSOME 19 microRNA CLUSTER (C19MC) IN EMBRYONAL TUMOR WITH MULTILAYERED ROSETTES (ETMR)
Bibliographic record
Abstract
Embryonal tumor with multilayered rosettes (ETMR) is an aggressive primitive neuroectodermal brain tumor that affects infants and children under the age of four. Histologically, the tumor is characterized by a growth pattern that includes sheets of primitive cells punctuated by zones of neuropil and multilayered rosettes that are reminiscent of embryonic neuroepithelium. Genetically, ETMR is characterized by a focal amplification of chromosome 19q13.42, encoding the chromosome 19 microRNA cluster (C19MC). Previous studies have suggested that overexpression of the microRNAs within this cluster, including miR-517a, miR-517c and miR-520g, can increase malignancy of cell lines derived from non-ETMR primitive neuroectodermal tumours. Here, we ask whether overexpression of selected miRNAs in the cluster is sufficient to alter the cell fate of normal embryonic neural stem cells in the developing cortex. Using in utero electroporation to overexpress selected C19MC microRNAs in embryonic ventricular zone progenitors during the neurogenic period, we found that transient overexpression of miR-520g or a construct containing miR-517,-519, and -520 resulted in focal lesions containing both stem-like cells and a collection of heterochronic differentiating neurons ectopically arrested in the intermediate zone. The ectopic cells showed increasing maturation with time. Similar overexpression at postnatal ages did not yield analogous lesions. Our results suggest that the embryonic neuroepithelial cells are the substrate for transformation in ETMR, and that miRNAs in the C19MC cluster can regulate the temporal identity of immature/embyonic neural progenitors. Additional studies are required to determine the effects of stable overexpression of C19MC miRNAs, and to discern the effects on cell fate upon C19MC miRNA overexpression.
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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) | 0.000 | 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".