A Combined GWAS and miRNA for the Identification of Bevacizumab Response Predictors in Metastatic Breast Cancer
This trial is active, not recruiting.
|Condition||breast cancer invasive nos|
|Sponsor||Spanish Breast Cancer Research Group|
|Start date||May 2012|
|End date||October 2013|
|Trial size||200 participants|
|Trial identifier||NCT01598285, GEICAM/2011-07|
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
Genome-Wide Association Study (GWAS) and microRNA (miRNA) profiling for identification of genetic variants and blood miRNA signatures predictors of bevacizumab response.
time frame: 18 months
Female participants at least 18 years old.
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)
|Official title||A Combined Genome-Wide Association Study (GWAS) and microRNA (miRNA) Profiling Approach for the Identification of Bevacizumab Response Predictors in Metastatic Breast Cancer|
|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).|
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