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).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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) | 0.001 | 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 teacher head, 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".