Abstract B68: Spatial and temporal conditions for Smarcb1 deletion determines mouse AT/RT (atypical teratoid/rhabdoid tumor) subtype
Bibliographic record
Abstract
Abstract The cell(s) of origin of AT/RTs remain(s) unknown. We previously developed a mouse model consisting of tamoxifen inducible system in a Smarcb1Flox/Flox;Rosa26-CreERT2 background. We obtained two molecular subgroups of intracranial tumors, one with neuronal and the other with non-neuronal features, consistent with the diversity observed in human AT/RTs. To investigate the potential cell(s) of origin of these various AT/RTs, we first explored whether different time points of Smarcb1 inactivation correlated with anatomic location and/or molecular subgroups. We observed that the neuronal group, primarily developing from the subventricular zone and the spinal cord, was almost exclusively obtained with the earliest inactivation time points (E6-E7). In contrast, the non-neuronal group emerged upon Smarcb1 inactivation at any time point (E6-E10) and showed intracranial but extra-parenchymal/meningeal origins. High-resolution analysis of anatomic distribution of 55 human AT/RT and molecular subgroups is in progress. In order to more specifically identify the cell(s) of origin for the neuronal group, we next generated developmental stage-specific conditional knockout mice carrying Smarcb1 inactivation by restricting Cre expression with promoters characteristic for various neural stem cells/progenitors. While Smarcb1Flox/Flox;Atoh1CreERT2 showed ataxia but failed to give rise to any tumor at any embryonal time point, Smarcb1Flox/Flox;Ascl1CreERT2 did not show any phenotype. Targeting Nestin-expressing cells led to tumors with morphologic rhabdoid features; these tumors again showed molecular diversity as observed in human AT/RTs. In conclusion, we show that deletion of Smarcb1 determines mouse AT/RT subtypes depending on spatial and temporal factors. Our new mouse models not only give insight into the cell(s) of origin, but also provide interesting preclinical models of AT/RTs. Citation Format: Zhi-Yan Han, Mamy Andrianteranagna, Maria Jesus-Lobon-Iglesias, Arnault Tauziède-Espariat, Kevin Beccaria, Paul Fréneaux, Joshua J. Waterfall, Julien Masliah-Planchon, Christine Bourneix, Gaelle Pierron, Amaury Leruste, Céline Chauvin, Didier Surdez, Pascale Varlet, Christelle Dufour, Olivier Delattre, Volodia Dangouloff-Ros, Franck Bourdeaut. Spatial and temporal conditions for Smarcb1 deletion determines mouse AT/RT (atypical teratoid/rhabdoid tumor) subtype [abstract]. In: Proceedings of the AACR Special Conference on the Advances in Pediatric Cancer Research; 2019 Sep 17-20; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Res 2020;80(14 Suppl):Abstract nr B68.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".