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High Throughput Technologies to Drive Breast Cancer Patients to Specific Phase I/II Trials of Targeted Agents

High Throughput Technologies to Drive Breast Cancer Patients to Specific Phase I/II Trials of Targeted Agents

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT01414933
Acronym
SAFIR-01
Enrollment
423
Registered
2011-08-11
Start date
2011-05-31
Completion date
2013-05-31
Last updated
2017-05-04

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Metastatic Breast Cancer

Brief summary

High sensitivity to targeted agents has been observed in patients whose tumor cells present a genetic/genomic deregulation of the target (Kit mutation, ERBB2 amplification, EGFR mutations) together with addiction to the given target. More recently, activation of alternative pathways (Kras mutation, PI3K mutations) have been reported as a common resistance mechanism to single agent tyrosine kinase inhibitors (trastuzumab, cetuximab). From these data has emerged the hypothesis that identification of the deregulated pathway through new molecular tools could allow to propose a more tailored targeted regimen. Based on these concepts, numbers of phase I/II trials enrich their populations in patients presenting specific molecular alterations. High throughput technologies (array CGH, sequencing, gene expression array) identify deregulated genes. In addition, these technologies determine whether such genomic alterations are single (expected efficacy of single agent) or multiple (rationale for combination). In a pilot study that included 135 patients, we recently performed a combination of array CGH and hot spot mutation array in order to drive patients into phase I/II clinical trials. This study led to the conclusions that high throughput technologies i. are feasible (80%) and robust, ii. identify targetable genomic alterations in around 40% of samples. In the present study, the investigators will perform high throughput technologies to drive 400 metastatic breast cancer patients into specific phase I/II trials.

Interventions

OTHERBiopsy

Breast metastases biopsy

Sponsors

Ministry of Health, France
CollaboratorOTHER_GOV
Gustave Roussy, Cancer Campus, Grand Paris
CollaboratorOTHER
UNICANCER
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 70 Years
Healthy volunteers
No

Inclusion criteria

* Men and Women with histologically diagnosed breast cancer * Metastatic relapse or stage IV breast cancer at diagnosis * Metastases amenable to biopsy * Age \<70 years old * PS 0/1 * No restriction regarding the number of previous chemotherapy or endocrine therapies

Exclusion criteria

* Age \<18 * Life expectancy \<3 months * Symptomatic or progressing brain metastases * Progressive patients at the time of biopsy * LVEF \<50% (MUGA or ultrasonography) * Inadequate bone marrow reserve or organ function as demonstrated by any of the following laboratory values: * Absolute neutrophil count \< 1.5 x 109/L * Platelet count \< 100 x 109/L * Haemoglobin \< 90 g/L * ASAT/ALAT \> 2.5 times the upper limit of normal (ULN) if no demonstrable liver metastases or \> 5 times ULN in the presence of liver metastases * Total bilirubin \> 1.5 times ULN * Creatinine \>1.5 times ULN * Corrected calcium \> ULN * Phosphate \> ULN * Abnormal blood coagulation that contra-indicates biopsy * Patients deprived of liberty or placed under the authority of a tutor

Design outcomes

Primary

MeasureTime frameDescription
number of patients included in early phase trials evaluating targeted drugsone year after obtaining the molecular profileTo use whole genome / integrated biology approach to drive patients in early clinical trials. The goal is to include at least 30% of the patients in a clinical trial evaluating targeted agent, according to the molecular alteration detected on high throughput technologies

Secondary

MeasureTime frameDescription
overall survival3 years after inclusion in SAFIRTo evaluate the efficacy of such patient selection in terms of survival
Progression free survival3 years after inclusion in SAFIRTo evaluate the efficacy of such patient selection in terms of progression free survival
To evaluate the efficacy of such patient selection in terms of survival response rate3 years after inclusion in SAFIRTo evaluate the efficacy of such patient selection in terms of best response rate

Countries

France

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 21, 2026