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Recurrent / Metastatic Solid Tumors Phase 2 Crossover Design NCT01771458

SHIVA: Complete Statistical Analysis of Molecular Profiling-Based Therapy in Refractory Cancer

An independent statistical review of the randomized phase II SHIVA trial comparing therapy based on tumor molecular profiling with conventional therapy in patients with refractory cancer.

Institut Curie · Start date 2012-10 · Primary completion date 2016-10
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

SHIVA was a randomized phase II treatment trial evaluating whether therapy selected according to tumor molecular profiling improved progression-free survival compared with conventional chemotherapy in patients with recurrent or metastatic solid tumor disease.

742
Enrollment
2
Arms
Phase 2
Study Phase
Crossover
Design Model
FeatureSHIVA
TitleA Randomized Phase II Trial Comparing Therapy Based on Tumor Molecular Profiling Versus Conventional Therapy in Patients With Refractory Cancer
PopulationPatients with recurrent/metastatic solid tumor disease
AllocationRandomized
MaskingNone
Primary purposeTreatment
SponsorInstitut Curie

2. Clinical Question

Population

Patients with recurrent or metastatic solid tumor disease.

Intervention

Targeted therapy based on molecular profiling, including therapies selected according to tumor biopsy findings.

Comparator

Conventional chemotherapy.

Primary question

Does molecular profiling-based targeted therapy improve progression-free survival compared with conventional therapy?

3. Trial Design

Randomization

Patients were assigned in a randomized phase II design.

Crossover

The registry identifies the design model as crossover.

Assessment

Tumor evaluation was performed according to RECIST 1.1 criteria every 2 months.

Arms

The study included two treatment arms.

4. Endpoints

EndpointDefinition
Patient's progression free survivalProgression free survival according to RECIST 1.1 of targeted therapy based on molecular profiling versus conventional chemotherapy.
Tumor evaluationTumor evaluation according to RECIST 1.1 criteria every 2 months.

5. Planned Analysis

The registry identifies progression-free survival according to RECIST 1.1 as the primary endpoint. Progression-free survival is generally analyzed as a time-to-event outcome, using methods such as Kaplan-Meier estimation to describe event timing and comparative methods such as log-rank testing or Cox regression when prespecified.

No formal statistical analyses were posted to ClinicalTrials.gov. Results have not been posted on ClinicalTrials.gov.

6. Statistical Methodology

Progression-free survival

Progression-free survival measures the time from a defined starting point until disease progression or death. Because not every patient experiences an event during follow-up, censoring methods are used to incorporate available follow-up information.

RECIST 1.1 assessment

The primary endpoint was based on tumor evaluation using RECIST 1.1 criteria. Imaging-based response criteria provide a standardized framework for determining disease progression.

Crossover design considerations

Crossover designs allow treatment pathways to change after predefined circumstances. Statistical interpretation must account for the timing and consequences of treatment switching when comparing randomized groups.

7. Statistical Methods Explained

Why is progression-free survival a time-to-event endpoint?

Patients experience progression at different times. A time-to-event framework uses the timing of events rather than only whether an event occurred.

Why use Kaplan-Meier estimation?

Kaplan-Meier methods estimate event-free probability over time while accounting for patients whose outcomes are not yet observed.

Why does censoring matter?

Censored observations still contribute information until the last time they were known to be event-free.

Why does crossover affect interpretation?

If patients receive another treatment after assignment, the comparison may reflect both the initial assignment and later treatment pathways.

8. Limitations

9. Why This Trial Matters Statistically

ConceptHow it appears in SHIVA
RandomizationRandomized phase II comparison of two treatment strategies.
Personalized treatmentTherapy selection based on tumor molecular profiling.
Time-to-event analysisPrimary endpoint based on progression-free survival.
RECIST assessmentTumor evaluation framework for progression assessment.
CrossoverDesign model identified by the registry.

10. Related Tutorials

Learn more about the methods used in this trial:

11. Related Calculators

12. Sources