High 11-Ketotestosterone Linked to Shorter Time to Castration Resistance in Recurrent Nonmetastatic Prostate Cancer
Bibliographic record
Abstract
PURPOSE: The contribution of 11-oxygenated androgens to the progression of lethal prostate cancer (PCa) remains unresolved. We hypothesized that evaluating circulating levels of 11-oxygenated androgens, such as the androgen receptor agonist 11-ketotestosterone (11KT), could serve as a potential predictor of the onset of castration-resistant PCa (CRPC). MATERIALS AND METHODS: We used mass spectrometry to quantify 11-oxygenated androgens in postoperative plasma samples acquired from 145 patients who subsequently received androgen deprivation therapy for biochemical recurrence and achieved castrated testosterone levels. Kaplan-Meier survival analyses and multivariable Cox models were used to investigate relationships between steroids and CRPC. RESULTS: .05). CONCLUSIONS: 11KT is a key component of the hormonal profile predictive of earlier onset of CRPC. Enhancing our understanding of the specific role of 11KT in the progression to CRPC could help optimize hormonal therapy for castration-sensitive patients with PCa and CRPC.
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 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 | 0.001 |
| 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) | 0.001 | 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 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".