Breast Cancer Invasive Nos
Conditions
Keywords
Genome-Wide, GWAS, microRNA, miRNA, Bevacizumab Response Predictors, Metastatic Breast Cancer
Brief summary
GEI-BEV-2011-01 is an Observational multicenter study. The study, involving 200 (100 non-responders and 100 best responders) metastatic breast cancer patients, will search for specific genetic variants (SNPs) and miRNA signatures associated with bevacizumab response. Only patients suffering from metastatic (disseminated at the time of diagnosis) breast cancer, treated with bevacizumab, will be included. 1. -To identify genetic variants as bevacizumab response predictors in metastatic breast cancer 2. To identify miRNA signatures in whole blood as bevacizumab response predictors in metastatic breast cancer patients. The main endpoint will be progression-free survival (PFS) The duration of the study will be approximately 18 months
Detailed description
In certain solid neoplasias, antiangiogenic therapies improve response rates and time to progression. However, treatment with antiangiogenic drugs do not improve patient´s overall survival, in addition to being quite toxic and expensive. It is therefore critical to identify reliable predictive factors for drug efficacy and potential toxicity. Pharmacogenomics and pharmacogenetics are emerging as important tools in the optimization of different therapeutic strategies against cancer. Thus, gene expression profiling and genome-wide association studies (GWAS) offer the promise to more effectively tailor individual cancer treatments by identifying new biomarkers for clinical efficacy. They likely represent a real progress in our understanding of cancer as a complex process and an improvement in patient management and treatment. This grant proposal is aimed at: i) identify genetic variants (SNPs) responsible for the different bevacizumab treatment response observed in metastatic breast cancer patients and ii) determine specific blood microRNA (miRNA) signatures associated with the bevacizumab response The reference endpoint for patient selection will be progression free survival (PFS). To increase the statistical significance of the study, patients will be categorized in two groups: non-responders (PFS\<12 weeks) and best responders (PFS\>52 weeks). Blood samples will be drawn prospectively from selected patients, they will be processed to obtain purified total DNA and RNA and, finally, they will be analyzed by next-gen GWAS and miRNA profiling, respectively. DNA samples will be hybridized to ultrahigh density Omni microarrays, containing 2.5 million genetic variants while RNA samples will be hybridized to Affymetrix microarrays containing an up-to-date collection of human miRNA sequences (miRBase v15, 1105 human miRNA probes). Standard computational analysis of both sets of microarray data will performed and the results will be correlated with the main endpoint of the study (PFS).
Interventions
None listed
Sponsors
Hoffmann-La Roche
Roche Farma, S.A
Spanish Breast Cancer Research Group
Study design
Observational model
CASE_ONLY
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
FEMALE
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* patients with breast cancer, at a disseminated stage * patients treated with bevacizumab in combination with weekly paclitaxel as first line chemotherapy and who have progressed * alive patients authorizing the extraction and analysis of their biological samples.
Exclusion criteria
* patients with a second neoplasia * deceased patients * patients who have not agreed to participate in the study * HER2 positive patients * patients with CNS metastases when first treated with bevacizumab in combination with paclitaxel * patients with local-regional recurrence only and * patients with status NED (resected metastases)
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Genome-Wide Association Study (GWAS) and microRNA (miRNA) profiling for identification of genetic variants and blood miRNA signatures predictors of bevacizumab response. | 18 months | Genome-Wide Association Study (GWAS) and microRNA profiling will be performed from DNA and microRNA obtained from blood samples of metastatic breast cancer patients treated with Bevacizumab. Next-generation microarray thecnologies will be performed. Patients will be categorized in two groups: non-responders and best responders. Results of standard computational analysis of microarrays will be correlated with progression free survival data for identification of genetic variants and microRNA signatures predictors of Bevacizumab response |
Countries
Spain
Outcome results
None listed