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Myelofibrosis Phase 3 Placebo-Controlled NCT04603495

MANIFEST-2: Complete Statistical Analysis of Pelabresib plus Ruxolitinib in Myelofibrosis

An independent statistical review of the randomized, quadruple-masked phase 3 MANIFEST-2 trial comparing pelabresib (CPI-0610) plus ruxolitinib with placebo plus ruxolitinib in primary, post-polycythemia vera and post-essential thrombocythemia myelofibrosis.

Study start: April 9, 2021  ·  Primary completion: August 23, 2023  ·  Status: Active, not recruiting  ·  Sponsor: Novartis Pharmaceuticals
About this analysis

This page provides an independent statistical analysis and educational interpretation of publicly reported results. ClinicalTrials.gov provides the official trial registry record. Reported estimates are kept separate from the interpretive commentary, which is labelled as such.

1. Trial at a Glance

MANIFEST-2 was a randomized, placebo-controlled phase 3 trial asking whether adding pelabresib, an investigational BET inhibitor, to the JAK inhibitor ruxolitinib increases the proportion of patients with myelofibrosis who achieve a spleen volume reduction of at least 35% (SVR35) at week 24.

430
Enrolled
Two parallel arms
30.4
SVR35 difference
95% CI 21.6–39.3 points
<0.001
Primary P-value
Stratified CMH test
−1.94
TSS LS mean diff.
95% CI −3.92 to 0.04
FeatureMANIFEST-2
PhasePhase 3
ConditionsMyelofibrosis; primary myelofibrosis; post-polycythemia vera myelofibrosis; post-essential thrombocythemia myelofibrosis
DesignRandomized, parallel-group, quadruple-masked, placebo-controlled, two arms
Enrollment430
Primary endpointSplenic response (SVR35) by blinded central radiology review at week 24
Key secondary endpointsAbsolute change from baseline in Total Symptom Score (TSS) at week 24; TSS50 response at week 24
Primary analysisCochran-Mantel-Haenszel (CMH) comparison, difference in proportions with stratum-adjusted 95% CI, ITT analysis set
StatusActive, not recruiting (start April 9, 2021; primary completion August 23, 2023)
ClinicalTrials.govNCT04603495
Lead sponsorNovartis Pharmaceuticals

2. Clinical Question

Ruxolitinib reduces spleen size and symptom burden in many patients with myelofibrosis, but responses are incomplete. MANIFEST-2 tested an add-on strategy: every participant received ruxolitinib, and randomization determined whether pelabresib or placebo was added. The contrast therefore isolates the incremental effect of pelabresib on top of a common active backbone.

Population

Patients with myelofibrosis, including primary myelofibrosis, post-polycythemia vera myelofibrosis and post-essential thrombocythemia myelofibrosis.

Intervention

Pelabresib (CPI-0610) plus ruxolitinib.

Comparator

Placebo plus ruxolitinib.

Primary question

Does adding pelabresib to ruxolitinib increase the proportion of participants achieving at least a 35% reduction in spleen volume from baseline at week 24, as assessed by blinded central radiology?

3. Trial Design

01
BaselineSpleen volume by MRI/CT; symptom score
02
Randomize430 enrolled; stratified
03
TreatRuxolitinib + pelabresib or placebo
04
Week 24SVR35, TSS, bone marrow
05
Continued follow-upTrial active, not recruiting
EXPERIMENTAL ARM · safety population n = 212

Pelabresib + Ruxolitinib

  • Pelabresib (CPI-0610)
  • Ruxolitinib
CONTROL ARM · safety population n = 214

Placebo + Ruxolitinib

  • Placebo matched to pelabresib
  • Ruxolitinib
Masking matters here. The registry classifies MANIFEST-2 as quadruple-masked, and the primary endpoint was read by blinded central radiology. Spleen volume from MRI or CT is an objective measurement, and central blinded review reduces both measurement variability and the risk of assessment bias. Symptom endpoints, which are patient-reported, benefit especially from masking because knowledge of assignment can shift how symptoms are perceived and reported.

4. Stratification and Analysis Populations

The posted analyses describe stratum-adjusted CMH estimates, with strata including baseline DIPSS category, platelet count and spleen volume. Because few participants fell into the DIPSS High category, it was merged with Intermediate-2 for analysis, a practical step that avoids strata too small to contribute stable information.

Analysis populationUsed for
Intent-to-Treat (ITT) analysis setPrimary SVR35 analysis; TSS change; TSS50 response; mTSS response
ITT analysis set, participants with available dataBone marrow fibrosis improvement at week 24 (only participants with data at that time point)
On-treatment safety populationSerious adverse events: 212 at risk with pelabresib + ruxolitinib; 214 with placebo + ruxolitinib

For binary response endpoints analyzed in the ITT set, participants without a week-24 assessment would normally be counted as non-responders, which keeps the full randomized denominator. The bone marrow fibrosis analysis instead used observed data only, so it does not carry the same protection: if the reasons for missing biopsies differed between arms, the comparison could be biased in either direction.

5. Endpoints

Primary endpoint

EndpointRegistry definitionTime frame
Number of participants with splenic response by central radiology reads at week 24Splenic response characterized by a reduction of at least 35% in spleen volume from baseline (SVR35), determined by MRI or CT and evaluated through a blinded central radiology review at week 24.Week 24

Secondary endpoints with posted analyses

EndpointTime frameMethod / effect measure
Key secondary: absolute change from baseline in Total Symptom Score (TSS)Baseline, week 24ANCOVA; least-squares (LS) mean difference
Key secondary: number of participants with TSS50 responseWeek 24CMH; difference in proportions
Improvement from baseline in bone marrow fibrosis of at least 1 gradeBaseline, week 24CMH; difference in proportions
Modified Total Symptom Score (mTSS) responseWeek 24CMH; difference in proportions (Wald 95% CI)

6. Primary Endpoint Result: SVR35 at Week 24

The registry reports the difference in the proportion of participants achieving SVR35, computed as experimental arm (pelabresib + ruxolitinib) minus control arm (placebo + ruxolitinib), with a CMH 95% confidence interval adjusted by strata in the ITT analysis set.

Difference in SVR35 response rate (percentage points)

30.4

95% CI: 21.6 to 39.3 (two-sided)   ·   P < 0.001

Pelabresib + ruxolitinib minus placebo + ruxolitinib · Cochran-Mantel-Haenszel · ITT analysis set

QuantityReported value
Effect measureDifference in proportion (experimental − control)
Estimate30.4
95% confidence interval (two-sided)21.6 to 39.3
P-value<0.001
MethodCMH test, CI adjusted by strata; Mehrotra-Railkar test used if the Breslow-Day test was significant; DIPSS High merged with Int-2
Analysis populationIntent-to-Treat (ITT) analysis set
Clinical Biostats interpretation

What the estimate means. A difference of 30.4 means that, after combining information across strata, the estimated proportion of participants achieving SVR35 at week 24 was 30.4 percentage points higher with pelabresib + ruxolitinib than with placebo + ruxolitinib. This is an absolute risk difference, which translates directly into how many additional responders one would expect per 100 patients treated under trial conditions.

What it does not mean. It is not a relative increase of 30.4%, and it does not describe how much any individual's spleen shrank. SVR35 is a dichotomy: a participant with a 34% reduction and one with no reduction are both non-responders. The difference also says nothing on its own about symptoms, survival or disease modification.

Precision. The 95% CI of 21.6 to 39.3 percentage points is well away from zero. Even its lower limit corresponds to a substantial absolute difference, so the direction and approximate size of the effect on this endpoint are well determined.

The P-value. P < 0.001 indicates the observed difference would be very unlikely if pelabresib added nothing to response. The P-value itself does not convey the magnitude; the 30.4-point estimate and its interval do.

Cautions. The CMH estimate is a weighted average of stratum-specific differences and assumes a broadly common difference across strata; the prespecified switch to a Mehrotra-Railkar approach if Breslow-Day indicated heterogeneity addresses this. The endpoint is measured at a single time point, so it does not describe durability of response beyond week 24.

7. Key Secondary Results: Symptom Burden

The two key secondary endpoints address whether spleen responses were accompanied by symptom improvement.

EndpointEffect measureEstimate (95% CI)P-value
Absolute change from baseline in TSS, week 24LS mean difference (ANCOVA)−1.94 (−3.92 to 0.04)0.0545
TSS50 response, week 24Difference in proportions (CMH)6.0 (−3.4 to 15.5)0.216
Interpretation

TSS change. The LS mean difference of −1.94 points indicates a numerically larger mean reduction in symptom score in the pelabresib arm, after ANCOVA adjustment. The 95% CI (−3.92 to 0.04) just includes zero and P = 0.0545 lies just above 0.05. The data are compatible with a benefit of nearly 4 points and with essentially no difference. The registry does not report a minimal clinically important difference against which the size of −1.94 could be judged.

TSS50. The proportion achieving at least a 50% symptom reduction was 6.0 percentage points higher with pelabresib, but the interval (−3.4 to 15.5) is wide and includes both a small deficit and a moderate benefit.

A near-miss is not a hidden success. When a key secondary endpoint sits in a formal testing sequence, a P-value of 0.0545 against a 0.05 threshold is not significant, and later endpoints in the same sequence cannot be claimed as confirmatory. It is equally wrong to read the result as showing "no effect on symptoms"; the interval is what should be reported.

8. Other Secondary Results: Bone Marrow Fibrosis and mTSS

EndpointAnalysis populationDifference in proportions (95% CI)P-value
≥1-grade improvement in bone marrow fibrosis, week 24ITT, participants with available data7.63 (0.52 to 14.73)0.037
mTSS response, week 24ITT7.8 (−1.7 to 17.2)0.107

The bone marrow fibrosis result is nominally significant, with a lower confidence limit close to zero (0.52 percentage points). Given that this analysis was restricted to participants with an available week-24 biopsy, that its role in any testing hierarchy is not described in the registry, and that its interval barely excludes zero, it is best read as hypothesis-generating. The mTSS response difference of 7.8 points has an interval including zero; the registry notes that Wald 95% CIs were applied for this analysis.

Differences in proportions at a glance

Differences in response proportions with 95% CIs (percentage points, −10 to 45); vertical line marks zero; values above zero favour pelabresib + ruxolitinib
SVR35 (primary)
30.4
TSS50 (key sec.)
6
mTSS response
7.8
Marrow fibrosis ≥1 grade
7.63

9. Safety: Serious Adverse Events

Safety measurePelabresib + Ruxolitinib (on-treatment)Placebo + Ruxolitinib (on-treatment)
Participants with serious adverse events (affected / at risk)63 / 21263 / 214

The same number of participants (63) had a serious adverse event in each arm, against nearly identical denominators. No formal statistical comparison of serious adverse events is posted. A count of participants with any SAE is a coarse summary: it does not distinguish event types, severity, timing or relationship to treatment, and similar totals can conceal differences in specific events. It should be read as one component of the safety evidence, separate from the efficacy endpoints.

10. Statistical Methodology

Cochran-Mantel-Haenszel analysis of response proportions

The primary endpoint and three secondary response endpoints were analyzed with the CMH approach. Rather than pooling all participants into one 2×2 table, the CMH method computes the treatment difference within each stratum and combines those differences with weights, so that the comparison respects the stratified design.

Stratum-weighted risk difference
RDCMH = Σk wk (pE,k − pC,k) / Σk wk,   wk = nE,k nC,k / (nE,k + nC,k)

where pE,k and pC,k are the response proportions in the experimental and control arms within stratum k. Strata with more balanced and larger sample sizes receive more weight.

Breslow-Day test and the Mehrotra-Railkar alternative

The CMH summary is most interpretable when the treatment effect is similar across strata. The analysis plan used the Breslow-Day test to check for heterogeneity across strata and specified a switch to the Mehrotra-Railkar test if heterogeneity was significant. The Mehrotra-Railkar approach uses "minimum risk" weights designed to remain efficient when stratum-specific differences vary, making the overall comparison less dependent on the common-effect assumption.

ANCOVA for change in Total Symptom Score

The absolute change from baseline in TSS at week 24 was analyzed by analysis of covariance, and the effect is reported as a least-squares (LS) mean difference between arms.

General ANCOVA form
ΔTSSi = β0 + βtrt·Armi + β1·TSSbaseline,i + (stratification terms) + εi

βtrt is the LS mean difference, reported as −1.94. The registry does not list the model covariates; baseline score and stratification factors are the conventional choices for this type of analysis. Adjusting for baseline reduces residual variance and guards against chance baseline imbalance.

Wald confidence intervals

For mTSS response, the registry notes that Wald 95% CIs were applied: estimate ± 1.96 × standard error. Wald intervals are simple and generally adequate at the sample sizes of this trial, although they can be less accurate when proportions are near 0 or 1.

Intention-to-treat principle

The primary analysis used the ITT analysis set, so participants were analyzed according to their randomized arm. This preserves the comparability created by randomization even if some participants discontinued pelabresib or placebo before week 24.

11. Multiplicity and Endpoint Hierarchy

MANIFEST-2 had one primary endpoint and two endpoints labelled in the registry as key secondary. A "key secondary" designation usually indicates endpoints placed within a prespecified, multiplicity-controlled testing strategy, but the registry does not describe the testing order or alpha allocation.

AnalysisRoleInterpretation
SVR35 at week 24PrimaryConfirmatory comparison under the prespecified design
TSS change; TSS50 responseKey secondaryTested after the primary; neither reached P < 0.05
Bone marrow fibrosis improvement; mTSS responseSecondarySupportive; nominal P-values
SAE countsSafetyDescriptive; no formal test posted
Why the hierarchy matters: in a fixed-sequence design, once an endpoint fails to reach significance, endpoints lower in the sequence are no longer formally tested at the controlled error rate. If the key secondary endpoints preceded other secondaries in such a sequence, the nominal P = 0.037 for bone marrow fibrosis would not carry confirmatory weight, regardless of its value.

12. Statistical Methods Explained

Why was a CMH test used rather than a simple chi-squared test?

The analysis was stratified by prognostic factors (DIPSS category, platelet count and spleen volume). The CMH method compares arms within each stratum and then combines the results, matching the analysis to the design. This typically improves precision and avoids distortions that can arise when strata with different baseline response rates are pooled into a single table.

What does a difference in proportions of 30.4 mean?

It is an absolute difference: roughly 30 more participants per 100 achieved SVR35 at week 24 with pelabresib added than with placebo added. An absolute difference is often easier to relate to clinical practice than a relative measure, because it directly reflects the number of additional responders. Its reciprocal is the number needed to treat for one additional SVR35 response under trial conditions.

Why was DIPSS High merged with Intermediate-2?

Stratified estimators need enough participants, and enough responders and non-responders, in each stratum. A stratum with very few participants can produce unstable or undefined stratum-specific estimates. Merging the sparse High category with the adjacent Intermediate-2 category keeps the stratified analysis estimable while preserving most of the prognostic information.

Why was an ANCOVA used for symptom score change?

TSS change is a continuous outcome, and people with higher baseline symptoms have more room to improve. ANCOVA adjusts the comparison for baseline and other covariates, which reduces unexplained variability and produces a more precise estimate than comparing raw mean changes. The result is expressed as an LS mean difference, the adjusted between-arm difference in mean change.

How should P = 0.0545 for TSS change be read?

It is slightly above the conventional 0.05 threshold and the 95% CI (−3.92 to 0.04) just crosses zero. Under a prespecified hypothesis test, the endpoint did not meet statistical significance. The interval shows that the data are compatible with a modest symptom benefit and with no difference, so the appropriate conclusion is uncertainty, not equivalence.

Why can a large spleen response coexist with an inconclusive symptom result?

Both arms received ruxolitinib, which itself improves symptoms, so the room for an additional symptom effect may be smaller than for spleen volume. Symptom scores are also more variable than imaging measurements, which widens confidence intervals. A clear effect on one endpoint and an imprecise estimate on another are statistically compatible and do not contradict each other.

13. Clinical Interpretation vs Statistical Interpretation

Statistical interpretation

The primary SVR35 comparison produced a 30.4-percentage-point difference with a 95% CI well above zero. Neither key secondary symptom endpoint reached P < 0.05, and their intervals include zero.

Clinical interpretation

Adding pelabresib to ruxolitinib increased the proportion of patients with a substantial spleen volume reduction at week 24. Whether this translates into meaningful symptom relief was not established at the confirmatory level, and longer-term outcomes are not part of the registry's posted analyses.

14. Important Limitations and Interpretation Issues

15. Why This Trial Matters Statistically

MANIFEST-2 is a clear example of how binary response endpoints, stratified analysis and continuous patient-reported outcomes are combined in a modern add-on trial.

ConceptHow it appears in MANIFEST-2
Add-on placebo-controlled designBoth arms receive ruxolitinib; randomization isolates the effect of pelabresib
Risk differencePrimary effect expressed as a 30.4-percentage-point difference in SVR35
Cochran-Mantel-Haenszel testStratum-adjusted comparison of response proportions
Heterogeneity across strataBreslow-Day test with prespecified Mehrotra-Railkar alternative
Sparse strataDIPSS High merged with Int-2
ANCOVABaseline-adjusted LS mean difference in TSS change
Confidence intervalsSeparate a well-determined primary effect from imprecise symptom effects
Intention-to-treatPrimary and key secondary analyses in the ITT analysis set
MultiplicityPrimary, key secondary and other secondary endpoints carry different evidential weight

16. Related Tutorials

Learn more about the methods used in this trial:

17. Related Calculators

18. Sources

Explore the methods behind the results

Follow the endpoints and analyses used in this trial to tutorials and calculators that explain how they work.

19. Record Summary

MANIFEST-2 enrolled 430 participants with myelofibrosis and compared pelabresib + ruxolitinib with placebo + ruxolitinib. The stratified CMH analysis of the primary endpoint in the ITT analysis set showed a 30.4-percentage-point higher SVR35 rate at week 24 (95% CI 21.6 to 39.3; P < 0.001). The key secondary symptom endpoints did not reach significance: the TSS LS mean difference was −1.94 (95% CI −3.92 to 0.04; P = 0.0545) and the TSS50 difference was 6.0 (95% CI −3.4 to 15.5; P = 0.216). Serious adverse events occurred in 63 participants in each arm. The most useful reading combines the absolute effect on spleen response, the stratified design behind it, the uncertainty around symptom effects, and the testing hierarchy that determines which results are confirmatory.

Clinical Biostats methodology: a trial-results page should reconstruct the statistical story of a trial rather than repeat its summary, keeping reported estimates distinct from educational interpretation.