Genomic Grade Index (GGI): feasibility in routine practice and impact on treatment decisions in early breast cancer.
prospective_cohort · Level II
Where this comes from
- Record sourced from PubMed, PMID 23990869.
- Also identified by DOI 10.1371/journal.pone.0066848 and PMC identifier 3747186.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
PURPOSE: Genomic Grade Index (GGI) is a 97-gene signature that improves histologic grade (HG) classification in invasive breast carcinoma. In this prospective study we sought to evaluate the feasibility of performing GGI in routine clinical practice and its impact on treatment recommendations. METHODS: Patients with pT1pT2 or operable pT3, N0-3 invasive breast carcinoma were recruited from 8 centers in Belgium. Fresh surgical samples were sent at room temperature in the MapQuant Dx™ PathKit for centralized genomic analysis. Genomic profiles were determined using Affymetrix U133 Plus 2.0 and GGI calculated using the MapQuant Dx® protocol, which defines tumors as low or high Genomic Grade (GG-1 and GG-3 respectively). RESULTS: 180 pts were recruited and 155 were eligible. The MapQuant test was performed in 142 cases and GGI was obtained in 78% of cases (n=111). Reasons for failures were 15 samples with <30% of invasive tumor cells (11%), 15 with insufficient RNA quality (10%), and 1 failed hybridization (<1%). For tumors with an available representative sample (≥ 30% inv. tumor cells) (n=127), the success rate was 87.5%. GGI reclassified 69% of the 54 HG2 tumors as GG-1 (54%) or GG-3 (46%). Changes in treatment recommendations occurred mainly in the subset of HG2 tumors reclassified into GG-3, with increased use of chemotherapy in this subset. CONCLUSION: The use of GGI is feasible in routine clinical practice and impacts treatment decisions in early-stage breast cancer. TRIAL REGISTRATION: ClinicalTrials.gov NCT01916837, http://clinicaltrials.gov/ct2/show/NCT01916837.
Medical subject headings
- Breast Neoplasms
- Carcinoma
- Comparative Genomic Hybridization
- Decision Making
- Neoplasm Grading