Abstract A072: Serum sex steroids as prognostic biomarkers in patients receiving androgen-deprivation therapy for recurrent prostate cancer post-radiotherapy: A post hoc analysis of the PR.7 trial
Bibliographic record
Abstract
Abstract Background and Objective: Nadir testosterone values following initiation of androgen deprivation therapy have been shown in several studies to be prognostic for outcome, including time to castration-resistant prostate cancer (TTCRPC) and cancer specific survival (CSS). The biologic reasons for this remain unclear. Using cryopreserved serum from the PR.7 trial of intermittent vs. continuous androgen deprivation therapy(ADT), we determined to assess the role of related sex steroids as prognostic biomarkers in men on androgen deprivation therapy for recurrent cancer post-radiotherapy. Patients and Methods: Canadian patients in the PR.7 trial randomized to the continuous arm were included. Patients were excluded who did not receive ADT(n=3), had <2 years of follow-up (n=2), received exogenous estrogens or glucocorticoids(n=5), or samples were unavailable(n=36). LC-MS/MS was performed using a validated method to simultaneously analyze ten steroids: dehydroepiandrosterone (DHEA), testosterone (T), dihydrotestosterone (DHT), androst-5-ene-β,17β-diol (5-diol), androstenedione (4-dione), androsterone (AD), estrone (E1), estradiol (E2), progesterone, and androstane-3β,17β-diol (3βdiol). Descriptive statistics and correlation analyses were performed, with longitudinal changes categorized as stable, increasing, decreasing, or mixed. The prognostic value of individual steroid tertiles as well as E1:E2, E2:T, and DHT:T ratios were assessed by Kaplan-Meier analysis and Cox proportional hazards adjusted for baseline clinical variables. Outcomes assessed were TTCRPC, CSS, and overall survival (OS). Results: A total of 219 patients were included in the analysis who had a cryopreserved serum available within 2 years of randomization, with 104 patients having 2 subsequent annual samples available for measurement. Values for DHT, T, 4-dione, AD, DHEA, and 5-diol tended to be correlated among samples. Lower DHEA and AD values were significant associated with older age as was lower DHEA and DHT values with poorer performance status. Higher tertiles of E1 and E2 were associated with sooner TTCRP (log-rank, p=0.03, p=0.02, respectively). Similar trends were seen for 4-dione in predicting TTCRPC (log-rank, p=0.07). Upon adjustment, the highest tertile of E2:T had increased hazard ratios (HR) for CSS (HR=2.36, 95% CI I: 0.90-6.21; p=0.08) and TTCRPC (HR=1.70, 95% CI: 0.90-3.23; p=0.10) relative to the lowest tertile. In an analysis of the subset of patients with longitudinal values, increasing levels of AD over time were associated with poorer CSS and OS (log-rank: p=0.04 and p <0.01, respectively). On adjusted analysis, increasing AD levels had a HR for CSS of 3.43 (95% CI: 0.63-18.67; p=0.15) and a HR for OS of 4.75 (95% CI: 1.49-15.17; p <0.01). Limitations include the number of events for some groups. Conclusions: Increased levels of E1, E2, and AD during ADT correlated with adverse TTCRPC and CSS. Serum sex steroids, including both androgens and estrogens, may act as prognostic biomarkers in men receiving ADT for recurrent prostate cancer. Further investigation is warranted to support clinical use. Citation Format: Paul Toren, Azik Hoffman, Keyue Ding, France-Hélène Joncas, Frédéric Pouliot, Yves Fradet, Éric Lévesque, Chantal Guillemette, Laurence Klotz. Serum sex steroids as prognostic biomarkers in patients receiving androgen-deprivation therapy for recurrent prostate cancer post-radiotherapy: A post hoc analysis of the PR.7 trial [abstract]. In: Proceedings of the AACR Special Conference: Prostate Cancer: Advances in Basic, Translational, and Clinical Research; 2017 Dec 2-5; Orlando, Florida. Philadelphia (PA): AACR; Cancer Res 2018;78(16 Suppl):Abstract nr A072.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".