Recent advances in second-line treatment of castration-resistant prostate cancer
Bibliographic record
Abstract
PURPOSE OF REVIEW: Patients with metastatic castration-resistant prostate cancer (CRPC) no longer responsive to docetaxel have a poor prognosis, worsened quality-of-life, and traditionally few options for treatment. This review addresses promising and practice-changing developments for the treatment of CRPC in the second-line setting. RECENT FINDINGS: Recent data for cabazitaxel, a novel taxane chemotherapy, and abiraterone acetate, a novel inhibitor of androgen synthesis, demonstrate significant improvements in the survival of patients with docetaxel-refractory CRPC. We review the mechanisms of action of these agents and data from phase III clinical trials, contextualizing their place in therapy. We also update other areas of investigation, including oral platinum analogues, vascular-endothelial growth factor receptor targeted therapy, inhibitors of chaperone proteins, and androgen receptor antagonists. SUMMARY: Upon disease progression after first-line docetaxel chemotherapy, cabazitaxel and abiraterone improve survival of patients with CRPC and are important novel treatment options. Potential toxicity from cabazitaxel necessitates careful patient selection and supportive care. Both abiraterone and cabazitaxel are also being evaluated in the first-line setting, and therefore the optimal sequencing of therapies remains uncertain. Many other novel agents continue to be evaluated and promising classes of agents include antisense oligonucleotides against clusterin (custirsen) and androgen receptor antagonists (MDV3100).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".