Prostate‐specific antigen kinetics in Asian patients with metastatic castration‐sensitive prostate cancer treated with apalutamide in the <scp>TITAN</scp> trial: A post hoc analysis
Bibliographic record
Abstract
OBJECTIVE: In the TITAN trial of patients with metastatic castration-sensitive prostate cancer (mCSPC), deep and rapid prostate-specific antigen (PSA) decline with apalutamide plus androgen deprivation therapy (ADT) was associated with longer overall survival (OS), radiographic progression-free survival (rPFS), time to PSA progression (TTPP), and time to castration resistance (TTCR) compared with no decline (all p < 0.0001). This post hoc analysis evaluated PSA kinetics in the Asian subpopulation. METHODS: Data were analyzed for patients enrolled in China, Japan, and Korea and treated with apalutamide (n = 111) or placebo (n = 110) plus ADT. Examined were depth of PSA response, rates of PSA decline, and associations between a deep PSA response and clinical outcomes in apalutamide-treated patients. RESULTS: Confirmed PSA response rates were higher with apalutamide than placebo: 73.9% versus 33.6% for PSA ≤0.2 ng/mL, 90.1% versus 58.2% for PSA reduction ≥50% [PSA50], and 74.8% versus 25.5% for PSA reduction ≥90% [PSA90]. Median (Q1; Q3) time to PSA ≤0.2 ng/mL, PSA50 and PSA90 response in the apalutamide group was 1.9 (1.0; 3.7), 1.0 (1.0; 1.0), and 1.8 (1.0; 1.9) months, respectively. PSA responses with apalutamide or placebo were consistent irrespective of high- or low-volume disease. Achievement of confirmed PSA ≤0.2 ng/mL or PSA90 response with apalutamide at landmark 3 months was associated with significantly (nominal p-values) longer OS (hazard ratio: 0.23; p = 0.0009), TTPP (0.16; p = 0.0001), TTCR (0.20; p < 0.0001), and time to progression on first subsequent therapy or death (0.19; p < 0.0001) compared with no decline. CONCLUSION: PSA kinetics have applications for early prognostic evaluation in Asian patients with mCSPC.
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) | 0.000 | 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) | 0.000 | 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".