CDC20 determines the sensitivity to spindle assembly checkpoint (SAC) inhibitors
Bibliographic record
Abstract
Abstract Spindle assembly checkpoint (SAC) inhibitors are a recently developed class of drugs that perturb the regulation of chromosome segregation during division, induce chromosomal instability (CIN), and eventually lead to cell death. While they are currently in clinical trials for solid cancers, biomarkers to predict the response to SAC inhibitors are still lacking. We recently reported that aneuploid cancer cells are preferentially sensitive to SAC inhibition. Here, we investigated the molecular determinants of the response to SAC inhibition that underlies the differential sensitivity of aneuploid cells to these drugs. We found that this response was largely driven by the expression of CDC20, a main activator of the anaphase-promoting complex (APC/C), rather than by APC/C itself. Mechanistically, we discovered that CDC20 depletion prolonged metaphase duration, diminished mitotic errors, and reduced sensitivity to SAC inhibition. Aneuploid cells expressed high levels of CDC20 and experienced shorter metaphases and multiple mitotic errors, resulting in increased long-term sensitivity to SAC inhibition. Our findings propose high CDC20 expression as a favorable biomarker for SAC inhibition therapy and as an aneuploidy-induced therapeutic vulnerability.
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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".