Anticancer Res. 2018 May;38(5):2909-2914.
First French Pilot Quality Assessment of the EndoPredict Test for Early Luminal Breast Carcinoma.
Lehmann-Che J1,2, Miquel C3,4, Wong J1,2, Callens C5, Rouleau E6, Quillien V7,8, Lozano N9, Cayre A10, Lacroix L6, Bieche I5,11, Bertheau P3,4, Teixeira L2,12, Llorca FP10,13, Lamy PJ9, DE Cremoux P14,2; GFCO GROUP.
Genomic signatures are needed for the determination of prognosis in patients with early stage, estrogen receptor (ER)-positive, human epidermal growth factor receptor 2 (HER2)-negative breast cancers. EndoPredict test is a RNA-based multigene assay that assesses the risk of 10-year relapse in this context. Quality assessment is a mandatory requirement for a laboratory to address the analytical quality of these molecular analyses. The aim of the study was to demonstrate the robustness of this prognostic test, its usefulness for the patient's treatment strategy, at the national level.
MATERIALS AND METHODS:
This study presents a pilot quality assessment (QA) of the EndoPredict test using composite design, including the follow-up of internal control values (qREF) of the 12 genes of the assay for 151 independent tests and one formalin-fixed paraffin embedded (FFPE) breast cancer sample. The evaluation of the test was performed by comparing the results of six independent medical laboratories.
All measures were highly reproducible and quantification of the qREF showed a standard deviation of less than 0.50 and a coefficient of variation always of <2%. All laboratories found concordant results for the breast cancer samples. The mean EndoPredict (EP) score for the breast cancer sample was 4.97±0.24. The mean of EPclin score was 3.07±0.05.
This first French independent reported QA assessed the robustness and reproducibility of the EndoPredict test. Such a simple composite design could represent an adapted QA for an expensive diagnostic test.
Copyright© 2018, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.
EndoPredict test; Luminal breast cancer; Quality Assessment; prognosis molecular signature