ATRT-06. ETMR TUMORIGENESIS MIRRORS RADIAL GLIAL DEVELOPMENT
Bibliographic record
Abstract
Abstract Embryonal tumors with multilayered rosettes (ETMRs) are rare pediatric brain tumors defined primarily by overexpression of the C19MC microRNA cluster. These tumors affect mostly children under the age of 3. However, little is known about the origin and developmental contexts of ETMRs. We hypothesized that the early onset of these tumors suggests an embryonic tumorigenic event. To elucidate the embryonic contexts of which ETMRs arise, we curated three mouse embryogenesis datasets representing the full spectrum of murine embryonic development. We generated timepoint structure signatures of this atlas and projected them onto a single nuclei RNA sequencing dataset of 8 primary ETMRs. Consistent with existing literature, we discovered that ETMRs resemble a spectrum of radial glial, neuronal, and oligodendrocytic cell types. We also recapitulated potential ETMR driver mechanisms such as overexpression of WNT and SHH signaling by gene set enrichment analysis. We validated the enrichment of lineage and driver markers through GSEA and marker gene enrichment in a separate cohort of ETMRs characterized by bulk RNA sequencing. Taken together, the embryonic context of ETMR development may play crucial roles in the early identification and treatments of this lethal disease.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".