<scp>A</scp>urora Kinase <scp>B</scp> Is a Potential Therapeutic Target in Pediatric Diffuse Intrinsic Pontine Glioma
Bibliographic record
Abstract
Pediatric high-grade astrocytomas (HGAs) account for 15-20% of all pediatric central nervous system tumors. These neoplasms predominantly involve the supratentorial hemispheres or the pons--diffuse intrinsic pontine gliomas (DIPG). Assumptions that pediatric HGAs are biologically similar to adult HGAs have recently been challenged, and the development of effective therapeutic modalities for DIPG and supratentorial HGA hinges on a better understanding of their biological properties. Here, 20 pediatric HGAs (9 DIPGs and 11 supratentorial HGAs) were subject to gene expression profiling following approval by the research ethics board at our institution. Many of these tumors showed expression signatures composed of genes that promote G1/S and G2/M cell cycle progression. In particular, Aurora kinase B (AURKB) was consistently and highly overexpressed in 6/9 DIPGs and 8/11 HGAs. Array data were validated using quantitative real-time PCR and immunohistochemistry, as well as cross-validation of our data set with previously published series. Inhibition of Aurora B activity in DIPG and in pediatric HGA cell lines resulted in growth arrest accompanied by morphological changes, cell cycle aberrations, nuclear fractionation and polyploidy as well as a reduction in colony formation. Our data highlight Aurora B as a potential therapeutic target in DIPG.
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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) | 0.001 | 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".