DIPG-13. NEW IMMUNOCOMPETENT GENETICALLY-ENGINEERED MOUSE MODELS OF PEDIATRIC-TYPE DIFFUSE HIGH-GRADE GLIOMAS REVEAL MECHANISMS OF TUMOR INITIATION AND PROGRESSION
Bibliographic record
Abstract
Abstract Pediatric-type diffuse high-grade gliomas (pHGGs) form a group of aggressive brain tumors with very poor prognosis. Recurrent driver mutations in TP53 and histone H3-encoding genes, most commonly H3F3A, are observed in a large proportion of these tumors. H3-K27M substitutions are particularly prevalent in midline gliomas, and H3-G34R mutations occur in supratentorial tumors. To better understand the molecular mechanisms driving pHGG emergence and progression, we set out to develop immunocompetent mouse models recapitulating the oncogenic lesions observed in human tumors. Given that oligodendrocyte progenitor cells (OPCs) may be the cells of origin of some pHGGs, we investigated the effect of mutation induction in the OLIG2-expressing cell lineage, using the Olig2Cre driver. Interestingly, deletion of the P53-encoding gene, Trp53, in Trp53flox/flox;Olig2Cre/+ mice led to the development of diffuse gliomas in nearly all animals. Latency to humane endpoint was relatively long (>1 year), and tumors developed throughout the brain with a mild preference for infratentorial (e.g. brainstem) localization. The gliomas diffusely infiltrated the brain parenchyma, and were heterogeneously immuno-reactive for OPC, astrocytic, and neural progenitor cell (NPC) markers. Based on RNA sequencing, the tumors segregated in two groups: one enriched in expression of OPC genes, and another with a prominent NPC-like signature. Whole exome sequencing revealed frequent Ccnd1 and Kras/Hras copy number gains in advanced tumors. To model additional oncogenic lesions, we generated knock-in mice in which the H3f3aK27M or the H3f3aG34R mutations can be induced in any cell type with Cre recombinase, and extinguished with Flp recombinase. These were combined with conditional Trp53 loss-of-function alleles in various cell lineages, and their effect on tumor initiation and progression was monitored. Collectively, our studies provide new reagents for accurate disease modeling of pHGG in mice, opening opportunities to better understand tumor initiation and progression at high resolution, and for pre-clinical therapeutic testing.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| 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".