A Comprehensive Analysis of Steroid Hormones and Progression of Localized High-Risk Prostate Cancer
Bibliographic record
Abstract
Abstract Background: In men with localized prostate cancer who are undergoing radical prostatectomy (RP), it is uncertain whether their systemic hormonal environment is associated with outcomes. The objective of the study was to examine the association between the circulating steroid metabolome with prognostic factors and progression. Methods: The prospective PROCURE cohort was recruited from 2007 to 2012, and comprises 1,766 patients with localized prostate cancer who provided blood samples prior to RP. The levels of 15 steroids were measured in plasma using mass spectrometry, and their association with prognostic factors and disease-free survival (DFS) was established with logistic regression and multivariable Cox proportional hazard models. Results: The median follow-up time after surgery was 73.2 months. Overall, 524 patients experienced biochemical failure and 75 developed metastatic disease. Testosterone and androsterone levels were higher in low-risk disease. Associations were observed between adrenal precursors and risk of cancer progression. In high-risk patients, a one-unit increment in log-transformed androstenediol (A5diol) and dehydroepiandrosterone-sulfate (DHEA-S) levels were linked to DFS with HR of 1.47 (P = 0.0017; q = 0.026) and 1.24 (P = 0.043; q = 0.323), respectively. Although the number of metastatic events was limited, trends with metastasis-free survival were observed for A5diol (HR = 1.51; P = 0.057) and DHEA-S levels (HR = 1.43; P = 0.054). Conclusions: In men with localized prostate cancer, our data suggest that the preoperative steroid metabolome is associated with the risk of recurrence of high-risk disease. Impact: The associations of adrenal androgens with progression of localized high-risk disease could help refine hormonal strategies for these patients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".