MPS1 kinase as a potential therapeutic target in medulloblastoma
Bibliographic record
Abstract
Medulloblastoma is the most common type of malignant brain tumor that affects children. Although recent advances in chemotherapy and radiation have improved outcomes, high-risk patients perform poorly with significant morbidity. Gene expression profiling has revealed that monopolar spindle 1 (MPS1) (TTK1) is highly expressed in medulloblastoma patient samples compared to that noted in normal cerebellum. MPS1 is a key regulator of the spindle assembly checkpoint (SAC), a mitotic mechanism specifically required for proper chromosomal alignment and segregation. The SAC can be activated in aneuploid cancer cells and MPS1 is overexpressed in many types of cancers. A previous study has demonstrated the effectiveness of inhibiting MPS1 with small-molecule inhibitors, but the role of MPS1 in medulloblastoma is unknown. In the present study, we demonstrated that MPS1 inhibition by shRNA or with a small-molecule drug, NMS-P715, resulted in decreased cell growth, inhibition of clonogenic potential and induction of apoptosis in cells belonging to both the Shh and group 3 medulloblastoma genomic signature. These findings highlight MPS1 as a rational therapeutic target for medulloblastoma.
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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 | 0.001 |
| 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".