Institut Jules Bordet
Brussels, 1000, Belgium
NCT Number: NCT01916837
In this prospective study the investigators sought to evaluate the feasibility of using the genomic signature - Genomic Grade Index (GGI) - in routine clinical practice and its impact on treatment recommendations.
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Notify Me18 year and older
All sexes
Observational
Brussels, 1000, Belgium
The primary objective of this study was to evaluate the feasibility of implementing Genomic Grade Index (GGI) in community hospitals in Belgium for breast cancer patients with node negative and 1-3 node positive early breast cancer. GGI would be considered a feasible genomic test if results were obtained in > 70% of evaluated patients.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Histologically confirmed invasive breast cancer meeting the following criteria:
Exclusion criteria
Fresh tumor specimens were sampled prior to adding any fixative and within one hour of breast cancer surgery
Fresh tumor specimens were sampled prior to adding any fixative and within one hour of breast cancer surgery
Fresh tumor specimens were sampled prior to adding any fixative and within one hour of surgery
Time frame: 12 months
To evaluate the feasibility of implementing Genomic Grade Index in community hospitals in Belgium for breast cancer patients diagnosed with node negative and 1-3 node positive early-stage invasive breast cancer
Time frame: 12 months
The secondary objective was to evaluate the impact of Genomic Grade Index on adjuvant treatment decisions for patients with early breast cancer. This was done by comparing physicians' treatment recommendations before having knowledge of the GGI test results to recommendations with a hypothetical GG-1 and GG-3 result and to the treatment ultimately administered after discussion with the patient.
Time frame: 12 months
To test the success rate of reporting GGI, a minimum sample size of 137 was calculated to have a power of 90% at a one-sided significance level of 5% using an empirical estimate of variance (null hypothesis H0: p ≤ 0.70 vs. alternative hypothesis HA: p ≥ 0.80).
Jules Bordet Institute
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