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Locally Advanced Pancreatic Cancer Phase 2 Single Group NCT02301143

LAPACT: Complete Statistical Analysis of Nab-Paclitaxel Plus Gemcitabine in Locally Advanced Pancreatic Cancer

An independent statistical review of the phase 2 LAPACT study evaluating nab-paclitaxel plus gemcitabine in subjects with locally advanced pancreatic cancer, with particular attention to the registry-defined time to treatment failure endpoint and its Kaplan-Meier analysis.

Phase 2  ·  Completed  ·  Enrollment 107  ·  Primary completion: November 21, 2017
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

LAPACT was a phase 2, single-group treatment study enrolling subjects with locally advanced pancreatic cancer. The registry describes nab-paclitaxel plus gemcitabine as the study treatment, with chemoradiation, capecitabine, and surgery also listed as interventions. The primary registered endpoint was Kaplan-Meier estimation of time to treatment failure.

107
Enrollment
Phase 2
1
Study Arm
Single group
2
Primary Drugs
Nab-paclitaxel + gemcitabine
28.75
Maximum Follow-Up
Months in endpoint frame
FeatureLAPACT
PhasePhase 2
ConditionPancreatic Neoplasms
Study populationSubjects with locally advanced pancreatic cancer (LAPC)
DesignSingle-group
AllocationNot applicable
MaskingNone
Primary purposeTreatment
Enrollment107
Number of arms1
StatusCompleted
Start dateApril 21, 2015
Primary completion dateNovember 21, 2017
Lead sponsorCelgene
Sponsor typeIndustry
ClinicalTrials.govNCT02301143

2. Clinical Question

The study addresses the treatment of subjects with locally advanced pancreatic cancer. Its design evaluates a single treatment strategy rather than comparing two randomized groups. The central statistical question is therefore different from that of a conventional randomized controlled trial: the analysis describes the time until treatment failure following initiation of the study treatment rather than estimating a between-group treatment effect.

Population

Subjects with locally advanced pancreatic cancer, within the broader registry condition of pancreatic neoplasms.

Study treatment

Nab-paclitaxel plus gemcitabine.

Additional interventions

Chemoradiation, capecitabine, and surgery are also listed in the registry as interventions.

Primary statistical question

How is time to treatment failure distributed after the first dose of study therapy, using Kaplan-Meier estimation?

3. Trial Design

01
Enroll107 subjects
02
TreatNab-paclitaxel + gemcitabine
03
AssessTumor evaluation by CT or MRI
04
TrackTreatment failure events
05
EstimateKaplan-Meier TTF
Design model
Single-group phase 2 study.
Masking
None.
Allocation
Not applicable to the single-group design.
Primary purpose
Treatment.

The absence of a comparator is central to the interpretation of LAPACT. A Kaplan-Meier estimate can describe the observed distribution of treatment-failure times within the study group, but it does not by itself provide a randomized estimate of how the treatment changes treatment failure relative to another therapy.

Single-group design: The study enrolled 107 subjects into one study arm. Consequently, a treatment-versus-control hazard ratio is not part of the registered primary analysis described here. The principal statistical object is the estimated time-to-treatment-failure distribution.

4. Interventions

SINGLE STUDY GROUP · N = 107

Nab-Paclitaxel Plus Gemcitabine

  • Nab-paclitaxel
  • Gemcitabine
OTHER REGISTERED INTERVENTIONS

Subsequent or Associated Interventions

  • Chemoradiation
  • Capecitabine
  • Surgery

The registry lists all five interventions under the study: nab-paclitaxel, gemcitabine, chemoradiation, capecitabine, and surgery. The primary endpoint definition explicitly treats the start of a new non-protocol-defined anticancer therapy or surgery as a treatment-failure event.

5. Primary Endpoint

EndpointRegistry definitionTime frameStatistical method
Kaplan-Meier Estimates for Time to Treatment Failure (TTF) Time after the first dose of study therapy to discontinuation of study therapy due to disease progression, death by any cause, or the start of a new non-protocol-defined anticancer therapy/surgery. If a participant does not progress, die or start a new non-protocol-defined anticancer therapy, the participant was censored on the last tumor assessment date. Day 1 of study treatment up to 28.75 months; maximum time for the last tumor assessment Kaplan-Meier estimation; median and 90% CI estimated using the method of Brookmeyer and Crowley

How TTF is defined

Time to treatment failure begins at the first dose of study therapy. A participant reaches the endpoint when study therapy is discontinued because of disease progression, death from any cause, or initiation of a new non-protocol-defined anticancer therapy or surgery.

This definition is broader than a progression-only endpoint. A participant can therefore experience TTF through several clinically distinct pathways. Death is an event, disease progression is an event, and treatment changes meeting the registry definition are also events.

Tumor assessment and progression

Tumor evaluations were performed using CT or MRI scans at the investigative sites, with response determined according to RECIST guidelines, version 1.1. Progressive disease was defined as a ≥ 20% increase in the sum of diameters of target lesions from nadir, with an absolute increase of ≥ 5 mm; progression of a non-target lesion or appearance of any new lesions was also considered progression.

TTF event structure
TTF event = progression  or  death  or  new non-protocol-defined anticancer therapy/surgery

Participants who had not experienced one of these events were censored at their last tumor assessment date.

6. Statistical Methodology

Kaplan-Meier estimation

The registered primary endpoint is explicitly a Kaplan-Meier estimate of TTF. Kaplan-Meier analysis is designed for time-to-event data in which some participants may not experience the event during the observation period. Those participants contribute information until the time at which they are censored.

Kaplan-Meier estimator
S(t) = ∏ti ≤ t (1 − di/ni)

Here, di represents the number of treatment-failure events at time ti, while ni represents the number of subjects at risk immediately before that time.

The Kaplan-Meier curve estimates the probability of remaining free of the defined treatment-failure event over time. For TTF, this can be understood as the estimated probability that a participant has not yet experienced progression, death, or the specified treatment-change event by a given time.

Median TTF

The median TTF is the point at which the estimated Kaplan-Meier treatment-failure-free probability reaches 0.50. In a single-group study, this is a descriptive summary of the observed treatment-failure distribution rather than a comparison between treatment strategies.

Brookmeyer and Crowley confidence interval

The registry specifies that the median and its 90% confidence interval were estimated using the method of Brookmeyer and Crowley. This method uses the Kaplan-Meier survival function to construct an interval for the median time-to-event quantity.

Why a 90% confidence interval matters

A 90% confidence interval describes statistical uncertainty around the estimated median under the specified analysis framework. It does not describe the range of TTF values for individual participants, and it does not mean that 90% of participants have TTF values inside the interval.

Censoring

Censoring is explicitly incorporated into the endpoint definition. When a participant does not progress, die, or begin a new non-protocol-defined anticancer therapy, the participant is censored at the last tumor assessment date. Kaplan-Meier estimation allows those participants to contribute information up to that time without treating the censoring time itself as a treatment failure.

Censoring is not the same as treatment success. A censored participant is not counted as having experienced treatment failure at the censoring date. The statistical interpretation depends on the time-to-event framework and the assumptions underlying censoring.

7. Planned Analysis

The registry specifies a Kaplan-Meier analysis of TTF from Day 1 of study treatment through 28.75 months, corresponding to the maximum time for the last tumor assessment. The primary summary is the median TTF with a 90% confidence interval estimated using the Brookmeyer and Crowley method.

Analysis componentRegistry specification
Starting pointFirst dose of study therapy
Event definitionDisease progression, death by any cause, or start of a new non-protocol-defined anticancer therapy/surgery
CensoringLast tumor assessment date for participants without a defined treatment-failure event
Tumor assessmentCT or MRI; response determined according to RECIST version 1.1
PD definition≥ 20% increase in the sum of diameters of target lesions from nadir with an absolute increase of ≥ 5 mm, or progression of a non-target lesion or appearance of any new lesions
Primary estimatorKaplan-Meier
Summary measureMedian TTF
Confidence interval90% CI for the median using Brookmeyer and Crowley
Analysis windowDay 1 of study treatment up to 28.75 months
Registry reporting: Results are posted in the ClinicalTrials.gov record, but no formal statistical analyses are posted there for the registered primary endpoint. The record therefore identifies the endpoint, its definition, time frame, and planned estimator without providing a posted formal statistical result for TTF.

8. Statistical Methods Explained

Why was Kaplan-Meier estimation used?

TTF is a time-to-event endpoint. Participants can have different lengths of follow-up, and some may reach the end of observation without experiencing the defined event. Kaplan-Meier estimation is designed for exactly this structure because it uses each participant's available event or censoring time rather than requiring every participant to experience treatment failure.

What does the Kaplan-Meier curve represent for TTF?

For this endpoint, the Kaplan-Meier function represents the estimated probability of remaining free of treatment failure through each point in time. Because TTF includes progression, death, and specified treatment changes, the curve is specifically a measure of freedom from that composite treatment-failure definition.

Why is death included as a TTF event?

The registry explicitly defines death by any cause as a treatment-failure event. Including death prevents a participant who dies before documented progression from being treated as if treatment remained successful simply because radiographic progression was not recorded first.

Why can starting another therapy or surgery count as treatment failure?

The endpoint is intended to capture discontinuation of the study treatment for several clinically meaningful reasons. The registry therefore includes initiation of a new non-protocol-defined anticancer therapy or surgery as an event rather than treating the participant as event-free indefinitely after changing treatment.

What does censoring at the last tumor assessment mean?

Suppose a participant has no qualifying TTF event by the last tumor assessment. That participant contributes information showing that treatment failure had not occurred through the assessment date. After that date, the participant's TTF status is not observed within the defined follow-up, so the observation is censored.

Why is the confidence interval for the median 90% rather than 95%?

The registry specifically states that the median and its 90% confidence interval were estimated using Brookmeyer and Crowley. A confidence interval quantifies uncertainty around the estimated median under the stated statistical procedure; its level is a property of the prespecified analysis rather than a measure of clinical importance.

Can TTF from this study be interpreted as a treatment effect?

Not by itself. LAPACT is a single-group study, so its Kaplan-Meier TTF estimate describes the experience of the enrolled study group. Without a randomized comparator, the estimate does not isolate a causal difference between nab-paclitaxel plus gemcitabine and another treatment strategy.

9. Results Reporting

The ClinicalTrials.gov record indicates that results have been posted for LAPACT. However, no formal statistical analyses are posted for the registered primary endpoint in the record. The available registry information therefore establishes the analysis framework for TTF but does not provide a posted formal statistical estimate, confidence interval, or p-value for that endpoint.

What is specified

The endpoint definition, observation window, censoring rule, Kaplan-Meier estimator, median summary, and 90% Brookmeyer-Crowley confidence interval are specified.

What is not formally analyzed in the record

No posted formal statistical analysis is available for the primary TTF endpoint, including a reported p-value or treatment-effect estimate.

This distinction is particularly important for a single-group study. The absence of a comparator means that the natural inferential target is the estimated TTF distribution itself rather than a hazard ratio comparing two randomized treatment groups.

10. Safety Results

The registry reports serious adverse events by study arm. Because LAPACT has one study arm, the safety information is reported for the nab-paclitaxel plus gemcitabine group rather than as a randomized treatment comparison.

Study armSerious adverse events affectedAt risk
Nab-Paclitaxel Plus Gemcitabine (Inducti38106
Nab-Paclitaxel Plus Gemcitabine (Overall39106

Serious adverse events

38/106 · 39/106

These are the affected/at-risk counts reported by the registry for the two listed nab-paclitaxel plus gemcitabine safety entries.

The denominators in the safety reporting are 106, whereas overall study enrollment was 107. The registry therefore distinguishes the population contributing to these serious-adverse-event summaries from the enrolled population.

How to interpret single-group safety data

A serious-adverse-event count in a single-group study describes the observed frequency within the treated study population. It does not establish how that frequency compares with another therapy, because there is no randomized comparator in the study design.

11. Understanding the Endpoint More Deeply

TTF is broader than progression-free survival

TTF and progression-free survival can look superficially similar because both are time-to-event outcomes and can incorporate progression and death. Their definitions are not necessarily interchangeable. Here, the registry explicitly includes discontinuation of study therapy due to the start of a new non-protocol-defined anticancer therapy or surgery as a TTF event.

That distinction changes the estimand. The question is not simply whether the tumor progressed or the participant died. It is whether the participant remained free from the broader set of events that the registry defines as treatment failure.

The starting point matters

The clock begins at the first dose of study therapy. Consequently, TTF is measured from treatment initiation rather than from diagnosis, enrollment alone, or a later tumor assessment. Defining time zero precisely is essential because changing the origin of a survival analysis changes the quantity being estimated.

The observation window matters

The registered time frame extends from Day 1 of study treatment up to 28.75 months, described as the maximum time for the last tumor assessment. The analysis therefore has a defined observation horizon rather than an unrestricted claim about treatment failure at any future point.

12. Why This Trial Matters Statistically

LAPACT is a useful teaching example because its statistical structure differs substantially from a randomized phase 3 comparison. The central analysis is not a treatment-effect estimate between arms but a carefully defined time-to-event description within a single treatment group.

ConceptHow it appears in LAPACT
Single-group designOne study arm with 107 enrolled subjects.
Time-to-event analysisTTF is measured from the first dose of study therapy.
Kaplan-Meier estimationUsed to estimate the TTF distribution.
Composite event definitionProgression, death, or specified new treatment/surgery can define treatment failure.
CensoringParticipants without a qualifying event are censored at the last tumor assessment date.
RECIST assessmentTumor evaluations use CT or MRI and RECIST version 1.1 criteria.
Median time-to-eventThe registered summary measure is median TTF.
Brookmeyer-Crowley intervalThe registry specifies this method for the 90% confidence interval around the median.
Single-arm interpretationTTF describes the observed study population rather than a randomized treatment contrast.
Safety denominatorsSerious-adverse-event summaries use 106 as the at-risk denominator.

13. Limitations

Interpretation principle: A median TTF from a single-group study should not be converted into a claim that the treatment is superior to another therapy. A comparative conclusion requires a suitable comparator and an analysis designed to estimate a treatment contrast.

14. Statistical Interpretation vs Clinical Interpretation

Statistical interpretation

The primary endpoint is a right-censored time-to-event quantity analyzed using Kaplan-Meier estimation. The registry specifies median TTF and a 90% confidence interval calculated using Brookmeyer and Crowley.

Clinical interpretation

TTF summarizes how long subjects remained free from the registry-defined combination of progression, death, and specified treatment changes. Because the study is single-group, that observation is not a randomized comparison with another treatment strategy.

15. What Kaplan-Meier TTF Does — and Does Not — Mean

What the estimate means

A Kaplan-Meier TTF estimate describes the estimated probability of remaining free of the defined treatment-failure event through a particular time. The event definition includes progression, death, and initiation of a new non-protocol-defined anticancer therapy or surgery.

What it does not mean

A Kaplan-Meier TTF estimate is not a probability that an individual patient will necessarily experience treatment failure at that exact time. It is also not a randomized estimate of benefit relative to another treatment.

Why the median is useful

The median gives a single summary of the time-to-treatment-failure distribution. It is especially useful when the mean is difficult to interpret because of censoring or because the event-time distribution is skewed.

Why the confidence interval matters

The 90% confidence interval expresses uncertainty around the estimated median. A wider interval indicates less precision in the median estimate, while a narrower interval indicates greater statistical precision under the stated analysis framework.

16. Censoring and Follow-Up

Participants who do not experience disease progression, death, or a qualifying new anticancer therapy or surgery are censored at the last tumor assessment date. This means their exact subsequent TTF is not observed within the defined analysis window, but their observed follow-up remains informative through the censoring date.

Participant status at last observationTTF treatment
Progression occursCounted as a TTF event.
Death occursCounted as a TTF event.
New non-protocol-defined anticancer therapy or surgery beginsCounted as a TTF event.
No qualifying event by last tumor assessmentCensored at the last tumor assessment date.

This structure is why simple averages of observed treatment durations would not reproduce the registered analysis. Kaplan-Meier estimation explicitly incorporates the timing of events and censoring.

17. RECIST and the Definition of Progression

Progression within the TTF definition is based on tumor evaluation by CT or MRI and response determination according to RECIST version 1.1. The registry specifies a target-lesion progression threshold of a ≥ 20% increase in the sum of diameters from nadir together with an absolute increase of ≥ 5 mm.

Registry-defined progressive disease
Target-lesion PD = ≥ 20% increase from nadir + absolute increase ≥ 5 mm

Progression of a non-target lesion or appearance of any new lesions is also considered progression.

Because progression is one of the pathways to TTF, the radiologic definition is directly connected to the primary statistical endpoint. The statistical analysis therefore depends not only on the survival-analysis method but also on the clinical rules used to classify progression.

18. Trial Timeline

April 21, 2015

Study start

The LAPACT study began.

November 21, 2017

Primary completion

The registry records November 21, 2017 as the primary completion date.

Maximum endpoint window

28.75 months

The registered TTF time frame extends from Day 1 of study treatment up to 28.75 months, identified as the maximum time for the last tumor assessment.

19. How to Read the Safety Data Alongside TTF

Safety and TTF answer different questions. TTF describes time until a predefined treatment-failure event, while serious-adverse-event reporting describes an important category of adverse safety outcomes.

TTF

A time-to-event endpoint incorporating progression, death, and specified treatment changes.

Serious adverse events

A safety outcome reported using affected and at-risk counts for the study group.

Different denominators

Enrollment was 107, while the reported serious-adverse-event entries use 106 as the at-risk denominator.

No randomized safety contrast

Because the study has one arm, the reported serious-adverse-event counts do not provide a randomized treatment comparison.

20. What a Formal TTF Analysis Would Usually Report

For a Kaplan-Meier time-to-event endpoint such as TTF, a complete formal statistical presentation would ordinarily describe the number of events and censored observations, provide the Kaplan-Meier estimate over time, report the median when estimable, and provide the confidence interval around the median. The registry specifies the median and 90% confidence interval as the principal summary quantities for LAPACT.

A Kaplan-Meier analysis is more informative than a simple count of treatment failures because the timing of each event matters. Two studies could have the same number of events but very different treatment-failure curves if the events occurred at different points in follow-up.

Single-group perspective: In LAPACT, these analyses characterize the treatment-failure experience of the study group. They should not be interpreted as a hazard-ratio comparison because there is only one study arm.

21. Why the Absence of a Comparator Changes the Statistics

In a randomized trial, a hazard ratio can summarize the relative difference in event hazards between treatment groups. In a single-group study, there is no second randomized risk set against which to calculate such a treatment contrast.

The statistical emphasis consequently shifts from comparative inference to time-to-event estimation. The Kaplan-Meier curve describes the observed event-free experience, while the median and its confidence interval summarize the distribution without requiring an external control group.

QuestionWhat the LAPACT design can addressWhat requires a comparator
When does treatment failure occur?Kaplan-Meier TTF estimation.Not required.
What is the median TTF?Kaplan-Meier median with the specified 90% CI.Not required.
Is TTF different from another treatment?Not established by the single-group design.Requires an appropriate comparator.
What is the hazard ratio versus another treatment?Not a registered single-group comparison.Requires event-time data from a comparison group and an appropriate model.

22. Important Interpretation Issues

23. Sources

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24. Record Summary

LAPACT is a phase 2, single-group study of nab-paclitaxel plus gemcitabine in subjects with locally advanced pancreatic cancer. Its registered primary endpoint, Kaplan-Meier Estimates for Time to Treatment Failure, illustrates the statistical structure of a single-arm survival analysis: time begins at the first dose of study therapy, treatment failure includes disease progression, death, or specified initiation of new anticancer therapy or surgery, and participants without such an event are censored at their last tumor assessment date.

The registry specifies Kaplan-Meier estimation, with the median TTF and its 90% confidence interval estimated using the Brookmeyer and Crowley method. Tumor progression is determined using CT or MRI assessment and RECIST version 1.1 criteria, including the specified target-lesion increase from nadir and the other registry-defined progression criteria.

The key statistical distinction is that LAPACT does not contain a randomized comparator. Its primary analysis therefore describes the time-to-treatment-failure experience of the enrolled study group rather than estimating a treatment effect between randomized groups. The serious-adverse-event summaries likewise describe the single study group, with 38/106 and 39/106 affected/at-risk counts reported for the two listed nab-paclitaxel plus gemcitabine entries.

Clinical Biostats methodology: The most informative reading of a single-group time-to-event study combines the endpoint definition, censoring rules, Kaplan-Meier estimator, median summary, confidence interval, and study design. The statistical meaning of the estimate depends on all of these components together.