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Prostate Cancer Phase 2 Stratified Cox Model NCT01664923

STRIVE: Complete Statistical Analysis of Enzalutamide Versus Bicalutamide in Prostate Cancer

A statistical review of the randomized, triple-masked phase 2 STRIVE trial comparing the androgen-receptor inhibitors enzalutamide and bicalutamide in men with prostate cancer, with progression-free survival as the primary endpoint.

Sponsor: Pfizer  ·  Start: 2012-08  ·  Primary completion: 2015-02  ·  Data cut-off: 09 February 2015
Scope of this record

This page provides an independent statistical analysis and educational interpretation of publicly reported results. ClinicalTrials.gov provides the official trial registry record.

1. Trial at a Glance

STRIVE was a randomized, triple-masked, parallel-group phase 2 trial comparing enzalutamide with bicalutamide in men with prostate cancer. Its primary endpoint was progression-free survival defined by the earliest of PSA progression, radiographic progression or death.

396
Enrollment
Registry-reported
0.240
PFS hazard ratio
95% CI 0.181–0.320
0.190
PSA progression HR
95% CI 0.137–0.264
50
PSA response ≥50% difference
Percentage points, 95% CI 41.4–58.5
FeatureSTRIVE
Official titleSafety and Efficacy Study of Enzalutamide Versus Bicalutamide in Men With Prostate Cancer
PhasePhase 2
ConditionProstate cancer
DesignRandomized, parallel-group, triple-masked; primary purpose treatment
Arms2: enzalutamide and bicalutamide
Enrollment396
Primary endpointProgression-free survival (PSA progression, radiographic progression or death)
Analysis stratificationDisease stage at study entry
Start / primary completion2012-08 / 2015-02
StatusCompleted; results posted
ClinicalTrials.govNCT01664923
Lead sponsorPfizer (industry)

2. Clinical Question

Enzalutamide and bicalutamide both block the androgen receptor, but differ in potency and mechanism. STRIVE was a head-to-head comparison: rather than testing a new agent against placebo, it asked whether enzalutamide delayed disease progression more than an established active comparator.

Population

Men with prostate cancer, including participants with and without metastatic disease at study entry; disease stage was used as a stratification factor.

Intervention

Enzalutamide, administered under triple masking.

Comparator

Bicalutamide, an active androgen-receptor inhibitor comparator.

Primary question

Does enzalutamide prolong progression-free survival, defined by PSA progression, radiographic progression or death, relative to bicalutamide?

3. Trial Design

01
EnterDisease stage recorded at study entry
02
Randomize396 enrolled
03
Masked treatmentEnzalutamide or bicalutamide
04
AssessmentPSA, bone scan, CT/MRI
05
Data cut-off09 February 2015
ARM A · safety at risk 197

Enzalutamide

  • Androgen-receptor inhibitor
  • Administered under triple masking
  • Median duration of treatment 14.7 months at the data cut-off
ARM B · safety at risk 198 (double-blind phase)

Bicalutamide

  • Active comparator androgen-receptor inhibitor
  • Same masking as the enzalutamide arm
  • Median duration of treatment 8.4 months at the data cut-off
Open-label phase. In addition to the double-blind (DB) phase, the registry's adverse-event data include an open-label phase group labelled "Bicalutamide Crossover", with 37 participants at risk. Efficacy analyses are by randomized assignment in the intent-to-treat population, so any post-randomization switching does not change the group in which a participant is analyzed.
Unequal treatment exposure. Median duration of treatment was 14.7 months with enzalutamide and 8.4 months with bicalutamide. Longer exposure partly reflects later progression, but it also means that participants on enzalutamide had more time on drug in which adverse events could occur. Safety counts should be read with this in mind.

4. Randomization, Stratification, and Analysis Populations

The primary analysis was stratified by disease stage at study entry. The stratified Cox model and stratified log-rank test compare treatments within each stage stratum and then combine the within-stratum information, so that differences in prognosis between stages do not blur the treatment comparison.

Analysis populationDefinitionUsed for
Intent-to-treatAll participants randomly assigned to study treatmentPFS, time to PSA progression, FACT-P degradation
Evaluable intent-to-treatRandomized participants with a baseline and at least 1 post-baseline PSA measurementPSA response ≥50%
Metastatic subsetRandomized participants with metastatic disease at study entryRadiographic PFS
Measurable soft-tissue subsetRandomized participants with metastatic and measurable soft tissue disease at screeningBest overall soft tissue response

Only the primary PFS analysis and the time-based secondary endpoints use the full randomized population. The radiographic PFS and soft-tissue response analyses are restricted to baseline-defined subsets; because those subsets are defined by characteristics measured before randomization, the comparisons remain randomized, but they are smaller and less precise.

5. Endpoints

For every endpoint, the registry time frame is: from randomization until the data cut-off date of 09 February 2015 (median duration of treatment 14.7 months in the enzalutamide arm and 8.4 months in the bicalutamide arm).

EndpointRoleType
Progression Free Survival (PFS)PrimaryTime-to-event
Time to PSA ProgressionSecondaryTime-to-event
Percentage of Participants With a PSA Response ≥ 50%SecondaryBinary
Duration of Radiographic PFSSecondaryTime-to-event (metastatic subset)
Quality of Life: Time to Degradation of FACT-PSecondaryTime-to-event
Best Overall Soft Tissue ResponseSecondaryBinary (measurable-disease subset)

Primary endpoint definition

The registry defines PFS as time from randomization to earliest objective evidence of prostate-specific antigen (PSA) progression, radiographic progression, or death on study.

This is a composite endpoint. Because PSA typically rises before imaging changes, PSA progression is likely to drive many events, which is why the separate time-to-PSA-progression and radiographic PFS analyses are useful for understanding which component carries the effect.

6. Primary Result: Progression-Free Survival

Hazard ratio for progression or death, enzalutamide vs bicalutamide

0.240

95% CI (two-sided): 0.181–0.320   ·   P < 0.0001 (log-rank)

Cox regression stratified by disease stage at study entry · Intent-to-treat · Superiority

Clinical Biostats interpretation

What the estimate means. An HR of 0.240 means that, over the observed follow-up and under the stratified Cox model, the estimated instantaneous rate of PSA progression, radiographic progression or death with enzalutamide was about one quarter of that with bicalutamide, a 76% lower estimated hazard.

What it does not mean. It does not mean 76% of patients avoided progression, nor that median PFS was four times longer. The registry analysis record does not report median PFS or event counts by arm, and the hazard ratio alone cannot be translated into absolute time gained.

Precision. The 95% CI of 0.181 to 0.320 is narrow and lies far below 1. Even the upper limit corresponds to a 68% lower estimated hazard, so the direction and approximate magnitude of the effect are well determined.

The p-value. P < 0.0001 from the log-rank test indicates the survival curves are very unlikely to be identical; it does not quantify how far apart they are. The HR and its interval carry the magnitude.

Cautions. A single HR assumes roughly proportional hazards across follow-up. Local, not central, radiologic reading introduces some risk of assessment variability, though triple masking limits systematic bias. The endpoint is a composite heavily informed by PSA, which is a biomarker rather than a direct measure of clinical benefit. Censoring at last assessment assumes that censored participants have the same future progression risk as those still followed.

7. Secondary Results

Time-to-event secondary endpoints

EndpointPopulationHR (95% CI)P-valueModel
Time to PSA progressionITT0.190 (0.137–0.264)<0.0001Cox stratified by disease stage
Radiographic PFSMetastatic at entry0.324 (0.211–0.497)<0.0001Unstratified Cox; unstratified log-rank
Time to FACT-P degradationITT0.910 (0.695–1.192)0.4945Cox and log-rank stratified by disease stage
Hazard ratios, enzalutamide vs bicalutamide (lower favours enzalutamide; full bar = 1.0)
Time to PSA progression
0.190
PFS (primary)
0.240
Radiographic PFS
0.324
FACT-P degradation
0.910

The PSA-based endpoint shows the strongest relative effect (HR 0.190), and radiographic PFS in the metastatic subset also favours enzalutamide (HR 0.324), with a wider interval reflecting the smaller population. The consistency of direction between the PSA and imaging components supports the conclusion that the primary composite was not driven solely by a biomarker signal.

Time to FACT-P degradation behaves differently. The HR of 0.910 with a 95% CI of 0.695 to 1.192 includes 1, and P = 0.4945. The trial did not show a difference in time to quality-of-life deterioration. The interval is compatible with a modest benefit or a modest harm, so this is an inconclusive rather than a demonstrated null result.

Response endpoints

EndpointPopulationEffect measureEstimate (95% CI)P-valueTest
PSA response ≥50%Evaluable ITTDifference in rates (enzalutamide − bicalutamide)50.0 (41.4 to 58.5)<0.0001CMH mean score, stratified by disease stage
Best overall soft tissue responseMetastatic, measurable soft tissue diseaseDifference in objective response rate46.05 (26.79 to 65.30)<0.0001Unstratified CMH mean score

Both response differences are expressed in percentage points. The PSA response difference of 50.0 points has a relatively tight interval; the soft-tissue response difference of 46.05 points has a much wider interval (26.79 to 65.30), as expected from the smaller subset with measurable soft-tissue disease. The registry analysis records do not list the arm-specific response rates alongside these differences.

Multiplicity. The registry does not describe a hierarchical or alpha-adjusted testing procedure for the secondary endpoints. Their p-values are best read as unadjusted; with several secondary comparisons, the strength of each individual p-value matters less than the consistency and precision of the effects.

8. Safety: Serious Adverse Events

GroupParticipants with serious adverse events / at risk
Enzalutamide76 / 197
DB phase: bicalutamide60 / 198
Open-label phase: bicalutamide crossover16 / 37

Serious adverse events were reported for 76 of 197 enzalutamide-treated participants and 60 of 198 bicalutamide-treated participants in the double-blind phase. Because median treatment duration was 14.7 versus 8.4 months, crude proportions compare groups with different exposure time; exposure-adjusted rates would be needed for a fairer comparison. The open-label crossover group is small and not randomized, so it should not be compared directly with either double-blind arm. The registry does not post a formal statistical comparison of serious adverse events.

9. Statistical Methodology

Kaplan-Meier estimation and censoring

Time-to-event endpoints (PFS, time to PSA progression, radiographic PFS, time to FACT-P degradation) are summarized with Kaplan-Meier methods, which accommodate participants censored at their last assessment before the 09 February 2015 cut-off.

Conceptual form
S(t) = ∏ti ≤ t (1 − di/ni)

where di is the number of events at time ti and ni is the number at risk just before it.

Stratified log-rank test

The primary p-value comes from a log-rank test. For PFS, time to PSA progression and FACT-P degradation, the comparison is stratified by disease stage at study entry: observed-minus-expected events are computed within each stratum and summed. Radiographic PFS, analyzed only in participants with metastatic disease, used an unstratified test.

Stratified Cox proportional-hazards model

Hazard ratios were estimated from a Cox regression with treatment as the only covariate, stratified by disease stage at study entry. Stratification allows each stage to have its own baseline hazard while assuming a common treatment HR across strata.

Stratified Cox model
hs(t | Z) = h0s(t) · exp(β·Z),   HR = exp(β)

where s indexes disease-stage strata, h0s is the stratum-specific baseline hazard and Z = 1 for enzalutamide. An HR below 1 favours enzalutamide.

Cochran-Mantel-Haenszel test for response

Binary response endpoints were compared with the Cochran-Mantel-Haenszel mean score test, stratified by disease stage for PSA response and unstratified for soft-tissue response. The effect is reported as a difference in response rates (enzalutamide minus bicalutamide).

Intention-to-treat

The primary analysis included all randomized participants, analyzed by assigned treatment. This preserves randomization regardless of treatment discontinuation or later switching.

10. Statistical Methods Explained

What does a PFS hazard ratio of 0.240 mean?

Under the stratified Cox model, the estimated hazard of progression or death with enzalutamide was 0.240 times that with bicalutamide, a 76% lower estimated hazard, averaged over follow-up. It is a relative rate, not a probability or a ratio of median times.

Why stratify the Cox model and log-rank test by disease stage?

Participants with and without metastatic disease have different underlying progression risks. Stratification gives each stage its own baseline hazard, avoiding the need to model how stage affects risk while still pooling the treatment effect.

Why was radiographic PFS analyzed unstratified?

It was restricted to participants with metastatic disease at entry. Within that subset, disease stage no longer varies in the way it does in the full population, so a stratified analysis offers little benefit.

What is a Cochran-Mantel-Haenszel mean score test?

It compares response between treatments within strata and combines the evidence across strata, protecting against confounding by stage. The accompanying effect estimate here is a risk difference: 50.0 percentage points more participants achieved a ≥50% PSA decline with enzalutamide.

How can PFS be strongly positive while FACT-P degradation shows no difference?

They measure different things. PFS captures biomarker and imaging progression; FACT-P captures participant-reported function and well-being. A treatment can delay measured progression without a detectable difference in time to quality-of-life decline, especially over a limited follow-up and when both arms receive active therapy.

Why does triple masking matter for PFS here?

Progression was read locally rather than centrally. Masking of multiple parties involved in the trial reduces the risk that knowledge of treatment influences when scans are ordered or how equivocal findings are called, a key protection for an assessor-dependent endpoint.

11. Important Limitations and Interpretation Issues

12. Why This Trial Matters Statistically

STRIVE is a clear example of an active-comparator oncology trial in which stratified survival methods, composite endpoints and response-rate differences each answer a different question.

ConceptHow it appears in STRIVE
Time-to-event endpointsPFS, time to PSA progression, radiographic PFS, FACT-P degradation
Kaplan-Meier estimationHandles censoring at last assessment before the data cut-off
Log-rank testStratified by disease stage for primary PFS; unstratified for radiographic PFS
Hazard ratioPrimary PFS HR 0.240 (95% CI 0.181–0.320)
Cochran-Mantel-Haenszel testPSA and soft-tissue response comparisons
Risk differencePSA response difference 50.0; soft-tissue response difference 46.05 percentage points
Intention-to-treatAll randomized participants for the primary analysis
Confidence intervalsContrast between precise PFS effects and the inconclusive FACT-P result

13. Related Tutorials

Learn more about the methods used in this trial:

14. Related Calculators

15. Sources

Continue exploring clinical trial statistics

Each trial page connects its endpoints and methods to deeper statistical tutorials and to calculators for the same analyses.

16. Record Summary

STRIVE randomized 396 men with prostate cancer to enzalutamide or bicalutamide under triple masking. In the intent-to-treat population, the stratified Cox HR for progression-free survival was 0.240 (95% CI 0.181–0.320; log-rank P < 0.0001). Time to PSA progression (HR 0.190), radiographic PFS in metastatic participants (HR 0.324), PSA response ≥50% (difference 50.0 percentage points) and soft-tissue response (difference 46.05 percentage points) all favoured enzalutamide, whereas time to FACT-P degradation showed no clear difference (HR 0.910, 95% CI 0.695–1.192). Serious adverse events occurred in 76/197 enzalutamide and 60/198 double-blind bicalutamide participants, against a background of longer median exposure to enzalutamide. Interpretation should weigh the PSA-weighted composite endpoint, local radiologic reading and the phase 2 setting.

Clinical Biostats methodology: A trial-results page should not merely repeat the registry entry. The goal is to reconstruct the statistical story of the trial in a standardized format while clearly separating reported evidence from educational interpretation.