Three- and Seven-month Prostate-specific Antigen Levels as Prognostic Markers for Overall Survival in Metastatic Hormone-sensitive Prostate Cancer: Results from SWOG S1216, a Phase 3 Randomized Trial of Androgen Deprivation Plus Orteronel or Bicalutamide
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Summary
This summary is machine-generated.Prostate-specific antigen (PSA) levels at 3 and 7 months after treatment initiation for metastatic hormone-sensitive prostate cancer (mHSPC) strongly predict overall survival (OS). Early PSA response indicates better outcomes, aiding risk stratification and clinical trial design.
Area Of Science
- Oncology
- Clinical Trials
- Prognostic Biomarkers
Background
- Prostate-specific antigen (PSA) decrease is a known prognostic factor in metastatic hormone-sensitive prostate cancer (mHSPC).
- mHSPC treatment has evolved with intensified therapies beyond traditional androgen deprivation therapy (ADT).
Purpose Of The Study
- To assess the association between PSA levels at 3 and 7 months (PSA-3mo, PSA-7mo) and overall survival (OS).
- To evaluate PSA response in mHSPC patients treated with ADT plus bicalutamide or orteronel in the S1216 trial.
Main Methods
- Categorized PSA response: Complete Response (CR) ≤0.2 ng/ml, Partial Response >0.2-4 ng/ml, No Response (NR) >4 ng/ml.
- Utilized Cox analysis, adjusted for treatment arm and stratification factors, to assess OS association.
- Evaluated both PSA-7mo (prespecified) and PSA-3mo associations with OS.
Main Results
- A total of 1251 (PSA-3mo) and 1231 (PSA-7mo) patients were evaluable.
- PSA-7mo CR was linked to improved OS versus NR (HR: 0.20; p<0.0001).
- PSA-3mo CR also showed a significant association with improved OS versus NR (HR: 0.34; p<0.0001).
- Treatment arm did not influence the PSA response-survival association.
Conclusions
- PSA-3mo and PSA-7mo responses are strongly associated with overall survival in mHSPC.
- These PSA markers can aid in early identification of high-risk patients.
- PSA response data can inform patient counseling and future clinical trial designs targeting specific patient subgroups.

