Contribution of extragonadal steroids to the androgen receptor activity and to the castration-resistance development in recurrent prostate cancers after primary therapy.
Bibliographic record
Abstract
148 Background: Beyond testosterone, several steroids contribute to the activation of the androgen receptor (AR) pathway, but their relative contributions in castrated prostate cancer (PCa) patients remain unknown. Methods: Serum levels of nine steroids were measured by mass spectrometry from continuously castrated patients of the PR.7 study (n=219) and from the PCA24 cohort (n=116). For each steroid, standard curves for dose-dependent prostate-specific antigen promoter activation were built in castration-sensitive (LAPC4) and resistant (VCaP) PCa models. Standard curves were used to determine the AR activation potency for each steroid measurement from patients. Results: In LAPC4 and VCaP cells, testosterone, dihydrotestosterone and androstenedione induced AR transcriptional activity, while dehydroepiandrosterone, 5alpha-androstan-3beta,17beta-diol, androstenediol, androsterone stimulated AR only in VCaP cells. Extragonadal steroids were responsible for 34% (LAPC4) and 88% (VCaP) of the serum total AR transcriptional activity found in castrated patients. The total AR transcriptional activity secondary to testosterone, dihydrotestosterone and androstenedione was associated with time to castration resistance in patients from the PR.7 study (HR=2.17; 95% CI: 1.12-4.23; p=0.02) in multivariate analysis using the castration-sensitive model (LAPC4). AR transcriptional activity of extragonadal androstenedione was the only steroid statistically associated with time to castration resistance in univariate analysis (HR=1.89; 95% CI: 1.04-3.44; p=0.036). Conclusions: Extragonadal steroids contribute significantly to the AR axis activation at testosterone castration levels in recurrent non-metastatic PCa and these sustain the development of castration resistance after primary local treatment.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".