Combination niraparib and abiraterone for HRR-altered metastatic castration-resistant prostate cancer
Bibliographic record
Abstract
Metastatic prostate cancer remains incurable. Though significant progress has been made in the field, the search for agents that improve outcomes for patients is ongoing. Several clinical trials have explored the benefit of combining PARP inhibitors (PARPi) with androgen receptor pathway inhibitors (ARPIs) for metastatic castrate resistant prostate cancer (mCRPC), especially those cancers with alterations in homologous recombination repair (HRR) genes. Niraparib, a highly selective inhibitor of PARP1 and PARP2, has been shown to confer a radiographic progression-free survival benefit in the treatment of mCRPC with HRR-associated gene alterations, particularly BRCA1 and BRCA2 (BRCA1/2), when combined with abiraterone acetate plus prednisolone (AAP). This combination has recently been approved in the USA, Canada and Europe for patients with mCRPC and a BRCA1/2 gene mutation. This review summarizes the evidence with regards to the pharmacologic activity and clinical efficacy of niraparib with a specific focus on its efficacy in combination with AAP in mCRPC patients with HRR alterations.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".