Elucidating molecularly stratified single agent, and combination, therapeutic strategies targeting MCL1 for lethal prostate cancer
Bibliographic record
Abstract
Metastatic castration-resistant prostate cancer (mCRPC) is a lethal disease requiring additional therapeutic strategies. MCL1, an anti-apoptotic BCL2 family member, promotes cancer-cell survival, but its role in mCRPC remains poorly understood. Here, we characterise MCL1 in multiple mCRPC biopsy cohorts and patient-derived models, assessing responses to MCL1 inhibition. MCL1 copy number gain (14%-34%) correlates with increased MCL1 expression and worse outcomes. MCL1 inhibition exhibits anti-tumour effects in MCL1-gained mCRPC models. Co-inhibition of MCL1 and AKT induces cancer-specific cell death in PTEN-loss/PI3K-activated models in vitro and in vivo, modulating BAD-BCLXL and BIM-MCL1 interactions, with durable anti-tumour activity in models with AKT inhibitor acquired resistance. Finally, CDK9-mediated MCL1 downregulation combined with AKT inhibition recapitulates these findings, providing further opportunities for clinical translation. These data support early phase clinical trials targeting MCL1, both as monotherapy for MCL1-gained mCRPC, and in combination with AKT inhibition for PTEN-loss/PI3K-activated mCRPC.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".