← Clinical Trials
Stage II-III Breast Cancer Phase 2 Single Group NCT02907918

PALTAN: Complete Statistical Analysis of Palbociclib, Letrozole and Trastuzumab in Stage II-III ER+ HER2+ Breast Cancer

An independent statistical review of the PALTAN phase 2 neoadjuvant study evaluating palbociclib in combination with letrozole and trastuzumab in patients with stage II-III ER+ HER2+ breast cancer.

Washington University School of Medicine  ·  Phase 2  ·  Enrollment 26  ·  Status: Terminated
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

PALTAN was a phase 2, single-group, unmasked treatment study of neoadjuvant palbociclib in combination with letrozole and trastuzumab in stage II-III ER+ HER2+ breast cancer. The registry records an enrollment of 26 participants, one study arm, and a primary endpoint of pathologic complete response after completion of 4 cycles of treatment, approximately 16 weeks.

26
Enrollment
Participants
1
Study arm
Single group
2
Phase
Phase 2
pCR
Primary endpoint
After 4 cycles
FeaturePALTAN
Study acronymPALTAN
ClinicalTrials.gov identifierNCT02907918
PhasePhase 2
StatusTerminated
Start date2017-06-30
Primary completion date2020-08-24
Lead sponsorWashington University School of Medicine
ConditionBreast Cancer; Cancer of Breast; Breast Carcinoma
Population described in study titleStage II-III ER+ HER2+ breast cancer
AllocationNA
Design modelSingle group
MaskingNone
Primary purposeTreatment
Enrollment26
Number of arms1

2. Clinical Question

The clinical question represented by the registry is whether a neoadjuvant treatment regimen combining palbociclib, letrozole, and trastuzumab can be evaluated in patients with stage II-III ER+ HER2+ breast cancer using pathologic complete response after treatment as the primary endpoint.

Population

Patients with stage II-III ER+ HER2+ breast cancer, as specified in the study title.

Intervention

Palbociclib in combination with letrozole and trastuzumab, with additional procedures and research sampling specified in the intervention record.

Comparator

The study is registered as a single-group design with one arm; there is therefore no randomized comparator arm.

Primary question

How many participants have a pathologic complete response after completion of 4 cycles of treatment, approximately 16 weeks?

3. Trial Design

The registry describes PALTAN as a phase 2, single-group, unmasked treatment study. Allocation is recorded as NA, and the design model is SINGLE_GROUP. With one treatment arm, the principal statistical structure differs substantially from a randomized controlled trial: there is no between-arm treatment effect estimate to calculate.

01
Enroll26 participants
02
TreatPalbociclib + letrozole + trastuzumab
03
4 cyclesApproximately 16 weeks
04
SurgerySurgical breast specimen and nodes assessed
05
Assess pCRPathologic complete response
Design model
Single group
Masking
None
Allocation
NA
Primary purpose
Treatment

Treatment and study procedures

The registry lists palbociclib, letrozole, trastuzumab, and goserelin as drug or biologic interventions. It also lists breast surgery, research tumor biopsy, optional research bone marrow, research blood sample, blood for germline DNA, and blood for detection of circulating tumor cells as study procedures or research activities.

ARM · n = 26 enrolled

Single treatment group

  • Palbociclib
  • Letrozole
  • Trastuzumab
  • Goserelin
  • Breast surgery
  • Research tumor biopsy
RESEARCH PROCEDURES

Biologic and translational assessments

  • Research bone marrow, optional
  • Research blood sample
  • Blood for germline DNA
  • Blood for detection of circulating tumor cells

4. Primary Endpoint

EndpointRegistry definitionTime frame
Number of Participants With Pathologic Complete Response (pCR)A pathologic complete response (pCR) is defined as no histology evidence of invasive tumor cells in the surgical breast specimen and sentinel or axillary lymph nodes.Completion of 4 cycles of treatment (approximately 16 weeks)

The endpoint is a binary pathologic outcome at a defined treatment milestone. Each participant can be classified according to whether the registry's pCR definition is met after the specified treatment period and surgical assessment.

Statistical structure of the endpoint
pCR proportion = number with pCR / number evaluated

For a single-group study, the central descriptive quantity is the observed proportion of participants meeting the pCR definition. A confidence interval for that proportion can then quantify sampling uncertainty. The appropriate denominator must be defined by the prespecified analysis population and endpoint assessment rules.

5. Statistical Methodology

Single-group binary endpoint analysis

Because PALTAN is registered as a single-group study, the primary endpoint is naturally expressed as a proportion rather than a treatment-versus-control effect estimate. The observed pCR rate describes the fraction of participants satisfying the pathologic definition at the specified assessment.

For a binary endpoint with a relatively small study population, an exact binomial confidence interval is often preferable to relying on a large-sample normal approximation. With 26 enrolled participants, the distinction between an exact and approximate interval can be material, particularly when the observed number of responses is close to zero or close to the total.

Binomial framework

Conceptual model
X ~ Binomial(n, p)

Here, X represents the number of participants achieving pCR, n represents the number of participants contributing to the endpoint analysis, and p represents the underlying probability of pCR under the population represented by the study.

The registry records enrollment of 26 participants, but the information available in the record does not provide a posted statistical analysis identifying the number with pCR, the analyzed denominator, a confidence interval, or a p-value. Those quantities therefore cannot be treated as reported results.

What a confidence interval would contribute

A confidence interval around a single-group response proportion would describe the statistical precision of the observed pCR estimate. This is particularly important in a small phase 2 study, because the observed proportion can change substantially when only a small number of participants contribute to the endpoint.

A confidence interval is not a prediction interval for individual patients. It describes uncertainty around the population parameter under the statistical model and sampling framework used to construct it.

No between-group hazard or risk comparison

PALTAN's single-group structure means that concepts such as a hazard ratio, randomized risk ratio, between-arm risk difference, or stratified log-rank comparison are not the primary statistical tools for this endpoint. Those methods require a comparative structure that is not present in the registered design.

6. Planned Analysis

The registry identifies pCR as the primary endpoint and defines the endpoint as the number of participants with pathologic complete response after completion of 4 cycles of treatment, approximately 16 weeks. For this type of single-group binary endpoint, the usual analysis would report the number and proportion achieving pCR, together with an appropriate confidence interval for the proportion.

ClinicalTrials.gov reporting status: Results are posted on the ClinicalTrials.gov record, but no formal statistical analyses are posted in the record. The registry information available here reports the study design, endpoint definition, and serious adverse event count, but does not provide a pCR estimate, confidence interval, or p-value.

Why the distinction matters

A registry can indicate that results have been posted without necessarily supplying a formal inferential analysis for every registered endpoint. For a binary single-group endpoint, the distinction is important because a raw count, an observed proportion, and a hypothesis test answer different statistical questions.

Descriptive question

What proportion of evaluated participants achieved the registered definition of pCR?

Precision question

How much statistical uncertainty surrounds that observed proportion?

Inferential question

Is the observed pCR proportion sufficiently different from a prespecified reference value?

Comparative question

Would the pCR proportion differ between treatment groups? This question is not represented by the registered single-group design.

7. Statistical Methods Explained

Why is pCR analysed as a binary endpoint?

The registry defines pCR categorically: a participant either meets the definition of no histology evidence of invasive tumor cells in the surgical breast specimen and sentinel or axillary lymph nodes, or does not. That structure makes a binomial model a natural statistical framework.

What does a single-group pCR proportion mean?

The pCR proportion is the fraction of participants in the defined analysis population who satisfy the pCR criterion. It describes the observed experience of the treatment group; it is not itself a randomized estimate of comparative treatment efficacy.

Why is the denominator important?

A proportion depends on both the numerator and denominator. Enrollment is 26, but endpoint analysis can require an explicitly defined evaluable population depending on prespecified rules for surgery, pathology assessment, withdrawal, or other endpoint-related circumstances. The registry information available here does not provide the analyzed denominator.

Why use an exact binomial confidence interval?

With a small study population, the normal approximation to a binomial distribution can perform poorly, especially for proportions near 0 or 1. An exact binomial interval avoids relying on that approximation and is commonly used for small single-arm phase 2 studies.

What would a p-value mean in a single-group study?

A p-value would require a null hypothesis specifying a reference pCR probability. It would answer whether the observed data are inconsistent with that particular null value under the chosen statistical model. It would not measure the magnitude of the pCR rate and would not establish superiority over a randomized comparator.

Why is a hazard ratio not appropriate for the primary endpoint?

The registered primary endpoint is a pathologic response assessed after a defined treatment period, not a time-to-event endpoint. A hazard ratio is designed for comparing event rates over time and therefore does not correspond naturally to the primary pCR analysis.

8. Results

The ClinicalTrials.gov record indicates that results are posted, but no formal statistical analyses are posted for the registered primary endpoint. The numerical pCR result, confidence interval, and p-value are not reported in the statistical-analysis information represented here.

Primary endpoint: Number of Participants With Pathologic Complete Response (pCR). The registry defines pCR as no histology evidence of invasive tumor cells in the surgical breast specimen and sentinel or axillary lymph nodes, assessed after completion of 4 cycles of treatment (approximately 16 weeks).

Accordingly, the statistically meaningful information available from the registry is the endpoint definition and its timing rather than an estimated treatment effect. A pCR count or percentage cannot be substituted for a formal comparative effect because the study has no randomized comparator arm.

9. Safety Results

The registry reports serious adverse events by arm as 2/26 for the single treatment group identified as Palbociclib + Letrozole + Trastuzumab +/.

Serious adverse events

2/26

Affected participants / participants at risk

Single registered treatment group

Safety measureSingle treatment group
Serious adverse events2/26
Clinical Biostats interpretation

The reported 2/26 means that 2 participants were identified as affected by a serious adverse event among 26 participants at risk in the registered arm. It does not describe the number of individual serious adverse events, their severity distribution, causality, timing, or clinical outcomes.

Because there is only one registered treatment group, the figure cannot be interpreted as a randomized treatment-group difference. It is a descriptive safety count within the study population.

10. Statistical Interpretation of the Single-Group Design

The design determines what conclusions the statistical analysis can support. In a randomized trial, treatment groups can be compared because randomization creates a framework for estimating a causal contrast between assigned treatments. In PALTAN, the registry identifies one treatment group, so the principal statistical question is descriptive or single-arm inferential rather than comparative.

Statistical quantityRole in PALTAN
pCR countDescribes the number meeting the registered pathologic definition.
pCR proportionDescribes the fraction meeting the definition among the specified analysis population.
Confidence intervalQuantifies uncertainty around the estimated single-group pCR probability.
Reference-value hypothesis testCould be used if a prespecified null pCR probability were defined.
Risk ratioNot a primary quantity for a single-group design without a comparator.
Hazard ratioNot appropriate for the registered binary pCR endpoint.
Log-rank testNot appropriate for the registered primary endpoint.

Why the enrollment size matters

With 26 enrolled participants, each observed participant represents a substantial portion of the study population. This makes the precision of any single-group response estimate especially important. A high or low observed proportion in a small study should therefore be distinguished from the uncertainty surrounding the corresponding underlying population probability.

This is one reason phase 2 single-arm studies often function as screening or signal-detection studies rather than definitive comparative efficacy trials. The design can characterize whether a treatment regimen produces an outcome at a potentially meaningful frequency, while a randomized study is generally required when the question is whether that outcome is better than an alternative treatment.

11. Pathologic Complete Response as an Endpoint

pCR is a pathology-based endpoint assessed after neoadjuvant treatment and surgery. The PALTAN registry definition is specific: no histology evidence of invasive tumor cells in the surgical breast specimen and sentinel or axillary lymph nodes.

Timing

The endpoint is assessed after completion of 4 cycles of treatment, approximately 16 weeks.

Breast specimen

The registry definition requires no histology evidence of invasive tumor cells in the surgical breast specimen.

Lymph nodes

The definition also incorporates the sentinel or axillary lymph nodes.

Binary classification

The endpoint creates a categorical response assessment suitable for a binomial statistical framework.

The precise endpoint definition is statistically important because small changes in the response definition can change the numerator of the pCR proportion. Preserving the registry wording therefore matters when interpreting or comparing pCR results across studies.

12. Study Timeline

2017-06-30

Study start

The registry lists June 30, 2017 as the start date.

Phase 2

Single-group treatment study

The study evaluates neoadjuvant palbociclib in combination with letrozole and trastuzumab in stage II-III ER+ HER2+ breast cancer.

Approximately 16 weeks

Primary endpoint assessment

The registered pCR endpoint is assessed after completion of 4 cycles of treatment.

2020-08-24

Primary completion

The registry lists August 24, 2020 as the primary completion date.

Current registry status

Terminated

The ClinicalTrials.gov record lists the study status as terminated.

13. Research Procedures and Translational Measurements

In addition to the therapeutic interventions, the registry lists several procedures and biological samples. These include research tumor biopsy, optional research bone marrow, research blood sample, blood for germline DNA, and blood for detection of circulating tumor cells.

Research activityRegistry-listed role
Research tumor biopsyProcedure
Research bone marrowOptional procedure
Research blood sampleProcedure
Blood for germline DNAGenetic assessment
Blood for detection of circulating tumor cellsProcedure

These measurements broaden the study beyond the primary pCR endpoint, but the registry information represented here does not provide numerical statistical results for these research measurements. They should therefore be viewed as study procedures rather than as reported efficacy estimates.

14. What the Single-Arm Analysis Does — and Does Not — Mean

Statistical interpretation

A single-group pCR estimate describes the observed frequency of pathologic complete response in the treated study population. It does not, by itself, quantify how much better or worse the regimen is than another treatment.

Without randomization to a comparator, differences between the study population and another population can reflect differences in patient characteristics, disease characteristics, eligibility, treatment pathways, pathology assessment, or other factors rather than treatment effects.

Why a confidence interval matters

A confidence interval around a single-group proportion would quantify uncertainty around the estimated underlying pCR probability. In a study with 26 enrolled participants, that uncertainty is an important part of the statistical interpretation.

Why a p-value does not measure effect size

If a single-arm study tests its response rate against a prespecified reference value, the resulting p-value measures the compatibility of the data with that null hypothesis. It does not measure the size of the observed pCR rate and does not establish comparative superiority without a randomized comparator.

15. Limitations

16. Why This Trial Matters Statistically

PALTAN is a useful statistical teaching case because it illustrates a fundamentally different analysis problem from the large randomized trials that dominate clinical-trial reporting. The key issue is not how to estimate a hazard ratio between treatment groups, but how to interpret a small single-group binary endpoint with an explicitly defined pathologic criterion.

ConceptHow it appears in PALTAN
Single-arm designOne registered treatment group
Binary endpointpCR is defined according to a yes/no pathologic criterion
Fixed assessment timeAfter completion of 4 cycles, approximately 16 weeks
Binomial inferenceNatural framework for a single-group response proportion
Confidence intervalImportant for quantifying uncertainty in a small study
Reference-value testingRequires a prespecified null pCR probability
Absence of randomized comparatorPrevents a randomized treatment-effect contrast
Safety descriptionSerious adverse events reported as 2/26
Translational researchIncludes tumor, blood, germline DNA, circulating tumor cell, and optional bone-marrow procedures

17. Statistical Interpretation vs Clinical Interpretation

Statistical interpretation

The registered design supports a single-group analysis of a binary pathologic endpoint. The principal descriptive measure is the pCR proportion, with a confidence interval providing information about precision.

Clinical interpretation

The study evaluates a neoadjuvant regimen consisting of palbociclib, letrozole, and trastuzumab in stage II-III ER+ HER2+ breast cancer, with pathologic response assessed after approximately 16 weeks.

These perspectives should remain separate. Statistical estimation describes what was observed and how precisely it was estimated. Clinical interpretation considers what the endpoint represents in the context of the treatment strategy and disease setting. Neither perspective converts a single-group result into a randomized comparative treatment effect.

18. Serious Adverse Events: Statistical Perspective

The registry reports 2/26 serious adverse events for the single treatment group. The simplest interpretation is a descriptive count: two affected participants among 26 participants at risk.

Descriptive safety quantity
SAE-affected participants / participants at risk = 2 / 26

This quantity describes affected participants rather than necessarily counting every adverse-event episode. The registry wording posted on ClinicalTrials.gov for the safety field is "affected / at risk."

Because no second randomized group exists, there is no internal estimate of a treatment-associated excess risk. External comparisons would require careful consideration of differences in patient populations, follow-up, event definitions, ascertainment, and treatment exposure.

19. Sources

Continue through the Clinical Biostats knowledge graph

Clinical trial analysis connects study design, endpoint definition, statistical estimation, uncertainty, and interpretation into a coherent statistical framework.

20. Record Summary

PALTAN is registered as a phase 2, single-group, unmasked treatment study with an enrollment of 26 participants and one treatment arm evaluating palbociclib, letrozole, and trastuzumab in stage II-III ER+ HER2+ breast cancer. Its primary endpoint is the number of participants with pathologic complete response, defined as no histology evidence of invasive tumor cells in the surgical breast specimen and sentinel or axillary lymph nodes, assessed after completion of 4 cycles of treatment, approximately 16 weeks.

The statistical structure is therefore centered on a single-group binary endpoint rather than a randomized treatment comparison. The natural framework is a binomial response analysis, with the pCR proportion providing the descriptive estimate and a confidence interval providing information about precision. The registry indicates that results are posted, but no formal statistical analyses are posted for the primary endpoint in the statistical-analysis information represented here. The safety record reports 2/26 participants affected by serious adverse events in the single treatment group.

For statistical interpretation, the most important feature of PALTAN is the distinction between observing a response rate in one treatment group and estimating a randomized treatment effect. The former is supported by the registered design; the latter requires a comparative framework that is not present in this study.