Genomic Grade Index (GGI): Feasibility in Routine Practice and Impact on Treatment Decisions in Early Breast Cancer

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.

DOI: 10.1371/journal.pone.0066848
View Slides

Extracted Key Phrases

5 Figures and Tables

050100201520162017
Citations per Year

Citation Velocity: 12

Averaging 12 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.

Cite this paper

@inproceedings{MetzgerFilho2013GenomicGI, title={Genomic Grade Index (GGI): Feasibility in Routine Practice and Impact on Treatment Decisions in Early Breast Cancer}, author={Otto Metzger-Filho and Aur{\'e}lie Catteau and Stefan Michiels and Marc Buyse and Michail G Ignatiadis and Kamal Saini and Evandro de Azambuja and Virginie Fasolo and Sihem Naji and Jean Luc Canon and Paul Delr{\'e}e and Michel Coibion and Pino G. Cusumano and V{\'e}ronique Jossa and Jean Pierre Kains and Denis P Larsimont and Vincent Richard and Daniel Faverly and Nathalie Cornez and Peter Vuylsteke and Brigitte Vanderschueren and H{\'e}l{\`e}ne Peyro-Saint-Paul and Martine J. Piccart and Christos Sotiriou}, booktitle={PloS one}, year={2013} }