EPCO-20. MUTANT IDH INHIBITORS INDUCE LINEAGE DIFFERENTIATION IN IDH-MUTANT OLIGODENDROGLIOMA
Bibliographic record
Abstract
Abstract IDH-mutant gliomas exhibit variable responses to mutant-IDH inhibitor (IDHi) therapy; yet, the molecular mechanisms underlying these responses remain poorly understood. Here, we investigate the cellular underpinnings of response by leveraging single cell/nuclei RNA-sequencing of on-treatment IDH-mutant oligodendroglioma tumor samples resected from three patients who benefited clinically from treatment. We integrate these findings with single cell and bulk RNA-seq data from independent cohorts and experimental models. We find that IDHi treatment promotes robust differentiation towards the astrocytic lineage, accompanied by stem-like cell depletion and reduced proliferation. Notably, NOTCH1 mutations are associated with impaired astrocytic differentiation, potentially negatively impacting response to IDHi. This study unveils the differentiating effects of IDHi on oligodendroglioma cellular hierarchies and identifies a potential genetic marker for optimizing patient selection. Paper was recently published in Cancer Cell (10.1016/j.ccell.2024.03.008).
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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 | 0.000 | 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) | 0.002 | 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 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".