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HER2-Expressing Colorectal Cancer Phase 2 Sequential Study NCT03384940

DESTINY-CRC01: Complete Statistical Analysis of DS-8201a in HER2-Expressing Colorectal Cancer

An independent statistical review of DESTINY-CRC01, a phase 2, non-randomized sequential study evaluating DS-8201a in participants with HER2-expressing advanced colorectal cancer, with best objective response and objective response rate assessed by independent central review.

Study start: 2018-02-23  ·  Primary completion: 2019-08-09  ·  Status: Completed
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

DESTINY-CRC01 was a phase 2 treatment study of DS-8201a in participants with HER2-expressing advanced colorectal cancer. The registry describes the study as non-randomized, sequential, unmasked, and consisting of 3 arms, with 86 participants enrolled.

86
Enrollment
Total participants
3
Arms
Cohorts A, B, and C
2
Primary Endpoints
Response measures
2
Phase
Phase 2
FeatureDESTINY-CRC01
Study acronymDESTINY-CRC01
ClinicalTrials.gov identifierNCT03384940
PhasePhase 2
StatusCompleted
ConditionColorectal Neoplasm
InterventionDS-8201a (drug)
AllocationNon-randomized
Design modelSequential
MaskingNone
Primary purposeTreatment
Enrollment86
Number of arms3
Lead sponsorDaiichi Sankyo Co., Ltd.
Sponsor typeIndustry

2. Clinical Question

The central clinical question was whether treatment with DS-8201a produced objective tumor responses in participants with HER2-expressing advanced colorectal cancer, with response assessed by independent central review.

Population

Participants with human epidermal growth factor receptor 2 (HER2)-expressing advanced colorectal cancer.

Intervention

DS-8201a.

Comparator

The registry identifies the study allocation as non-randomized. It does not identify a randomized comparator in the trial record summarized here.

Primary question

How many participants experienced a best objective response, and what was the objective response rate, based on independent central review?

3. Trial Design

DESTINY-CRC01 used a non-randomized, sequential phase 2 design. The registry identifies 3 arms and 86 enrolled participants. Because allocation was non-randomized, the study structure differs fundamentally from a parallel-group randomized controlled trial: there is no randomized treatment contrast from which a between-group causal effect can be estimated.

01
Enroll86 participants
02
Sequential designNon-randomized allocation
03
DS-8201aStudy intervention
04
Central reviewIndependent response assessment
05
ResponseBest response and ORR
Allocation
Non-randomized
Design model
Sequential
Masking
None
Primary purpose
Treatment

Study cohorts

COHORT A · 53 at risk for serious adverse events

DS-8201a Cohort A

The registry identifies Cohort A as one of the 3 DS-8201a cohorts. The serious-adverse-event summary reports 20 affected participants among 53 at risk.

COHORT B · 15 at risk for serious adverse events

DS-8201a Cohort B

The registry identifies Cohort B as one of the 3 DS-8201a cohorts. The serious-adverse-event summary reports 6 affected participants among 15 at risk.

COHORT C · 18 at risk for serious adverse events

DS-8201a Cohort C

The registry identifies Cohort C as one of the 3 DS-8201a cohorts. The serious-adverse-event summary reports 9 affected participants among 18 at risk.

Non-randomized design matters. The absence of randomization means that the primary response results should be interpreted as evidence describing tumor response under DS-8201a treatment rather than as a randomized estimate of the difference between DS-8201a and a control treatment.

4. Endpoints

The registry identifies 2 primary endpoints. Both evaluate tumor response from baseline through withdrawal of consent, progressive disease, or unacceptable toxicity, whichever occurs first, up to 18 months post-dose.

Primary endpointTime frameRegistry definition
Number of Participants With Best Objective Response Based on Independent Central Review (Confirmed and Unconfirmed) Following DS-8201a Treatment in Participants With Human Epidermal Growth Factor Receptor 2 (HER2)-Expressing Advanced Colorectal Cancer Baseline up to withdrawal of consent, progressive disease, or unacceptable toxicity (whichever occurs first), up to 18 months post-dose Best objective response was reported based on independent central review. Under RECIST version 1.1, CR was defined as disappearance of all target lesions; PR as at least a 30% decrease in the sum of diameters of target lesions; and SD as neither sufficient shrinkage for PR nor sufficient increase for PD, with PD defined as at least a 20% increase in the sum of diameters of target lesions.
Number of Participants With Objective Response Rate Based on Independent Central Review (Confirmed and Unconfirmed) Following DS-8201a Treatment in Participants With Human Epidermal Growth Factor Receptor 2 (HER2)-Expressing Advanced Colorectal Cancer Baseline up to withdrawal of consent, progressive disease, or unacceptable toxicity (whichever occurs first), up to 18 months post-dose Objective response rate was defined as CR+PR and reported based on independent central review. Under RECIST version 1.1, CR was disappearance of all target lesions and PR was at least a 30% decrease in the sum of diameters of target lesions.

Why two response endpoints?

The two primary endpoints describe closely related but distinct quantities. Best objective response describes the best response category achieved by a participant during the specified assessment period. Objective response rate summarizes the proportion of participants classified as having an objective response, with response defined as complete response or partial response.

The distinction matters statistically because a categorical response endpoint contains more information than a simple responder/non-responder indicator. A participant's best category can distinguish complete response, partial response, stable disease, and progressive disease, whereas ORR collapses complete and partial responses into a single response category.

5. Statistical Methodology

Independent central review

The primary response endpoints were assessed by independent central review. Central review is important because response classification can otherwise be influenced by knowledge of treatment, expectations, or differences in local radiologic interpretation. An independent assessment provides a standardized endpoint determination for the efficacy analysis.

RECIST version 1.1

The registry specifies Response Evaluation Criteria In Solid Tumors (RECIST) version 1.1 as the response framework. The definitions establish prespecified thresholds for classifying tumor response rather than relying on an unrestricted clinical judgment about whether a tumor has improved.

RECIST response framework
CR = disappearance of all target lesions
PR = ≥30% decrease in the sum of diameters of target lesions
PD = ≥20% increase in the sum of diameters of target lesions

Stable disease occupies the range in which shrinkage is insufficient for PR and increase is insufficient for PD.

Objective response rate

The registry defines ORR as CR + PR. Conceptually, if R denotes the number of participants achieving CR or PR and N denotes the relevant analysis population, then:

Conceptual response-rate calculation
ORR = R / N

The resulting proportion summarizes the fraction of participants who achieved an objective response during the specified assessment period.

Because the study is non-randomized, ORR is principally a measure of response observed under DS-8201a treatment. It does not by itself provide a randomized comparison with another therapy.

Best objective response

Best objective response is a longitudinal categorical outcome. Each participant can be classified according to the best response observed during the specified period, including confirmed and unconfirmed responses as described in the endpoint title. This approach uses repeated tumor assessments to determine the participant's best observed category rather than evaluating only one prespecified time point.

Time frame and censoring of assessment

The response endpoints were followed from baseline until withdrawal of consent, progressive disease, or unacceptable toxicity, whichever occurred first, with the registry specifying a maximum of 18 months post-dose. These stopping rules define the observation window for the endpoint and prevent the assessment period from being treated as indefinitely open-ended.

6. Planned Analysis

The registry reports that results are posted for both primary response endpoints, but no formal statistical analyses are posted in the record summarized here. The appropriate interpretation is therefore centered on the endpoint definitions and the response framework rather than on an independently reconstructed numerical treatment effect.

No formal statistical analyses were posted to ClinicalTrials.gov. The registry contains posted results for the primary endpoints, but the statistical-analysis field does not contain a formal statistical analysis.

How these endpoints are typically analysed

For objective response rate, the usual analysis is a binomial proportion: the number of participants with CR or PR is divided by the prespecified analysis population. A confidence interval for that proportion can then describe sampling uncertainty.

For best objective response, the usual descriptive analysis is a frequency distribution across the RECIST categories. The important statistical point is that response is categorical, so the complete distribution can be more informative than ORR alone.

In a single-arm or non-randomized phase 2 study, a response rate may also be compared with a prespecified benchmark or historical control rate when such a hypothesis and threshold are explicitly defined in the statistical analysis plan. The registry information summarized here does not provide such a benchmark, a null response rate, an alpha level, or a formal hypothesis-testing specification.

Statistical interpretation

A response endpoint answers a narrower question than overall survival or progression-free survival. It asks whether tumors met predefined radiologic criteria for response during the specified observation window. It does not by itself establish how long a response lasts, whether survival is prolonged, or how outcomes compare with another treatment in the absence of a randomized comparator.

7. Safety Results

The registry reports serious adverse events by DS-8201a cohort. The available safety measure is the number of participants affected among those at risk in each cohort.

CohortSerious adverse eventsAt risk
DS-8201a Cohort A20 affected53
DS-8201a Cohort B6 affected15
DS-8201a Cohort C9 affected18

These figures should be read as cohort-specific safety counts. They do not constitute a randomized safety comparison because the study allocation was non-randomized.

Safety denominator matters

The registry expresses the serious-adverse-event results as affected participants divided by the number at risk. The denominator differs across the 3 cohorts.

Safety and efficacy are distinct

Response endpoints describe tumor activity, whereas serious adverse events describe an important component of treatment safety. They should not be combined into a single numerical efficacy-safety measure.

8. Statistical Methods Explained

Why was independent central review used?

Radiologic tumor response requires classification against predefined imaging criteria. Independent central review provides a separate assessment of those images and reduces the influence that treatment knowledge or local assessment practices could otherwise have on endpoint classification.

What does RECIST 1.1 add to the analysis?

RECIST 1.1 turns tumor shrinkage into prespecified categories. A partial response requires at least a 30% decrease in the sum of diameters of target lesions, while progressive disease requires at least a 20% increase. These thresholds create reproducible rules for classifying response.

Why is ORR defined as CR+PR?

ORR focuses on objective tumor shrinkage. Complete response and partial response are both considered objective responses, so they are combined into a single responder category. Stable disease and progressive disease are not counted as objective responses.

Why does a non-randomized design change interpretation?

Without randomization, differences between patients who receive a treatment and an external population can reflect differences in patient characteristics rather than treatment itself. A response proportion can therefore describe activity in the studied population without providing the same causal comparison that a randomized trial can provide.

Why is the analysis population important for ORR?

The denominator determines the meaning of the reported response rate. A response proportion calculated among all enrolled participants answers a different question from one calculated among evaluable participants. The statistical analysis should therefore identify the prespecified analysis population rather than treating every possible denominator as interchangeable.

What does a confidence interval for ORR tell us?

A confidence interval around an observed response proportion describes statistical uncertainty about the underlying response proportion under the specified sampling framework. It does not describe the probability that an individual participant will respond, nor does it establish a comparative treatment effect.

9. Interpreting Response Endpoints Correctly

Best objective response

Best objective response is a categorical summary of the most favorable response category observed during the specified assessment period. It is useful for showing the distribution of tumor responses across participants.

Objective response rate

ORR reduces the response categories to a binary responder definition: CR or PR versus not an objective response. This makes ORR easy to summarize, but it necessarily discards some information contained in the full best-response distribution.

What ORR does not mean

ORR is not a measure of overall survival, progression-free survival, or duration of response. It also does not mean that every responder experienced the same magnitude or durability of benefit.

Why independent review matters

Because the primary endpoints were based on independent central review, the response classification has a defined external assessment process rather than relying solely on investigator-reported tumor response.

10. Clinical Interpretation vs Statistical Interpretation

Statistical interpretation

The study is a phase 2, non-randomized, sequential design with 3 arms and 86 enrolled participants. Its primary endpoints are categorical tumor-response measures assessed by independent central review using RECIST version 1.1.

Clinical interpretation

The trial was designed to characterize tumor response to DS-8201a in participants with HER2-expressing advanced colorectal cancer. The registry also reports serious adverse-event counts by cohort.

The distinction between these two interpretations is important. A statistical description focuses on how the endpoint was defined, measured, and analysed. A clinical interpretation considers what those response and safety measures mean in the context of treatment development. Neither response rate nor serious-adverse-event frequency, considered alone, captures the complete clinical experience of treatment.

11. Important Limitations and Interpretation Issues

12. Why This Trial Matters Statistically

DESTINY-CRC01 is a useful teaching example because it illustrates how a phase 2 non-randomized oncology study can be statistically informative without having the structure of a randomized comparative trial.

ConceptHow it appears in DESTINY-CRC01
Phase 2 developmentThe study is identified as phase 2 and has treatment as its primary purpose.
Non-randomized allocationParticipants were not allocated through randomization.
Sequential designThe registry identifies the design model as sequential.
Multiple cohortsThe study has 3 arms, identified in the safety data as Cohorts A, B, and C.
Independent central reviewThe primary response endpoints use independent central review.
RECIST 1.1Response categories are defined using prespecified RECIST version 1.1 criteria.
Best objective responseThe study evaluates each participant's best observed objective response category.
Objective response rateORR is defined as CR+PR.
Defined observation windowEndpoints are assessed from baseline through specified stopping events, up to 18 months post-dose.
Safety denominatorsSerious adverse events are reported as affected participants among those at risk within each cohort.

13. The Statistical Logic of a Single-Arm Response Study

For a non-randomized phase 2 study, the statistical objective is often different from that of a confirmatory randomized trial. The central question can be whether the observed response experience is sufficiently compelling to justify additional clinical development.

That logic places particular importance on three elements: the response definition, the analysis population, and the prespecified benchmark. The response definition determines what counts as success. The analysis population determines who contributes to the denominator. The benchmark determines what observed response level would constitute evidence beyond an assumed background rate.

In DESTINY-CRC01, the registry clearly specifies the first element through independent central review and RECIST version 1.1. It also specifies the response observation period. However, the registry information summarized here does not provide the prespecified statistical benchmark or formal hypothesis-testing parameters. Those details are therefore essential when interpreting any formal statistical claim about response beyond the descriptive endpoint itself.

Conceptual hypothesis-testing framework
H0: ORR ≤ p0     vs     H1: ORR > p0

Here p0 represents a prespecified benchmark response rate. A formal single-arm hypothesis test requires that benchmark and its associated statistical design to be specified in advance.

This framework also shows why an observed response proportion should not automatically be interpreted as statistically significant merely because it appears numerically large. Statistical evidence depends on the prespecified benchmark, sample size, variability, and analysis plan.

14. Understanding the Role of the Three Cohorts

The registry identifies 3 arms in a sequential, non-randomized study and reports serious adverse events separately for Cohorts A, B, and C. That structure is different from a randomized three-arm trial in which treatment assignment is randomized among 3 competing interventions.

In a randomized three-arm study, differences in baseline patient characteristics are balanced in expectation through randomization. In a sequential non-randomized study, cohort membership may be connected to the study sequence and eligibility or treatment-development decisions. Consequently, a numerical difference between cohorts should not automatically be interpreted as a treatment effect.

Cohort-level description

The cohort-specific safety counts describe what was observed among participants in each cohort and its corresponding at-risk population.

Comparative caution

Without randomization, numerical differences between cohorts do not have the same causal interpretation as differences between randomized treatment groups.

15. Primary Endpoint Interpretation

The primary endpoint structure emphasizes tumor activity. Best objective response records the most favorable RECIST category achieved during the assessment window, while ORR summarizes the CR and PR categories.

This makes the trial particularly useful for understanding the relationship between an underlying categorical endpoint and a derived binary summary. ORR is easier to communicate because it produces one proportion, but the complete best-response distribution retains information that ORR alone does not.

Endpoint conceptStatistical meaning
CRAll target lesions disappear.
PRThe sum of diameters of target lesions decreases by at least 30%.
SDShrinkage is insufficient for PR and increase is insufficient for PD.
PDThe sum of diameters of target lesions increases by at least 20%.
ORRCR + PR.
Best objective responseThe best response category observed during the specified assessment period.

16. Limitations of Response-Based Inference

Response endpoints are valuable because they can provide an early signal of antitumor activity. They are nevertheless narrower than time-to-event endpoints. A participant may experience tumor shrinkage without that response necessarily translating into a particular duration of disease control or survival experience.

The use of an independent central review improves consistency of response classification, but it does not transform a non-randomized study into a randomized comparison. Similarly, a precisely measured ORR can still be limited as evidence of comparative treatment efficacy when there is no randomized control group.

The appropriate statistical interpretation therefore depends on the question being asked. For “How frequently did predefined tumor responses occur?”, ORR is directly relevant. For “Did DS-8201a improve outcomes compared with another treatment?”, a non-randomized response proportion cannot answer the question with the same causal strength as a randomized comparative design.

17. Study Timeline

2018-02-23

Study start

The registry records 2018-02-23 as the study start date.

2019-08-09

Primary completion

The registry records 2019-08-09 as the primary completion date.

Completed

Study status

The registry identifies the study status as completed and reports that results have been posted.

18. Statistical Takeaways

Response is the central efficacy measure

The two primary endpoints focus on best objective response and objective response rate, both assessed by independent central review.

RECIST creates reproducibility

Prespecified thresholds for CR, PR, SD, and PD turn imaging observations into standardized categorical outcomes.

Non-randomization limits comparison

The study can characterize response under DS-8201a treatment, but cohort differences do not have the same causal interpretation as randomized treatment contrasts.

Safety needs its own denominator

Serious adverse events are reported separately by cohort using the number affected and the number at risk.

Bottom line for statistical readers

DESTINY-CRC01 illustrates a central principle of clinical-trial statistics: the strength of an inference depends on the design as well as the endpoint. Independent central review and RECIST 1.1 provide a structured way to measure tumor response, while the non-randomized sequential design determines how far those response observations can be taken when making comparative or causal claims.

19. Sources

Continue through the Clinical Biostats knowledge graph

Explore additional Clinical Biostats material on clinical-trial design, endpoint definition, statistical analysis, and interpretation.

20. Record Summary

DESTINY-CRC01 is a completed phase 2, non-randomized, sequential study of DS-8201a in participants with HER2-expressing advanced colorectal cancer. The registry identifies 86 enrolled participants, 3 arms, and 2 primary response endpoints. Both primary endpoints use independent central review and RECIST version 1.1, with assessment from baseline through withdrawal of consent, progressive disease, or unacceptable toxicity, whichever occurs first, up to 18 months post-dose.

The statistical structure is important to the interpretation. Best objective response preserves the categorical response information generated during follow-up, while ORR reduces that information to the proportion achieving CR or PR. Because allocation was non-randomized, these endpoints primarily describe observed antitumor activity rather than a randomized comparative treatment effect. The registry also reports serious adverse-event counts separately for the 3 cohorts: 20/53 in Cohort A, 6/15 in Cohort B, and 9/18 in Cohort C.

As a statistical teaching case, the study demonstrates how endpoint definition, independent assessment, RECIST thresholds, analysis denominators, cohort structure, and randomization status all shape the conclusions that can appropriately be drawn from a clinical trial.