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Decentralization of Next-Generation RNA Sequencing-Based MammaPrint® and BluePrint® Kit at University Hospitals Leuven and Curie Institute Paris

Authors :
Laurence Slembrouck
Lauren Darrigues
Cecile Laurent
Lorenza Mittempergher
Leonie JMJ Delahaye
Isabelle Vanden Bempt
Sara Vander Borght
Liesbet Vliegen
Petra Sintubin
Virginie Raynal
Mylene Bohec
Cécile Reyes
Audrey Rapinat
Céline Helsmoortel
Lynn Jongen
Griet Hoste
Patrick Neven
Hans Wildiers
Ann Smeets
Ines Nevelsteen
Kevin Punie
Els Van Nieuwenhuysen
Sileny Han
Anne Vincent Salomon
Enora Laas Faron
Timothé Cynober
David Gentien
Sylvain Baulande
Mireille HJ Snel
Anke T Witteveen
Sari Neijenhuis
Annuska M Glas
Fabien Reyal
Giuseppe Floris
Source :
Translational Oncology, Vol 12, Iss 12, Pp 1557-1565 (2019)
Publication Year :
2019
Publisher :
Elsevier, 2019.

Abstract

A previously developed and centrally validated MammaPrint® (MP) and BluePrint® (BP) targeted RNA next-generation sequencing (NGS) kit was implemented and validated in two large academic European hospitals. Additionally, breast cancer molecular subtypes by MP and BP RNA sequencing were compared with immunohistochemistry (IHC). Patients with early breast cancer diagnosed at University Hospitals Leuven and Curie Institute Paris were prospectively included between September 2017 and January 2018. Formalin-fixed paraffin-embedded tissue sections were analyzed with MP and BP NGS technology at the beta sites and with both NGS and microarray technology at Agendia. Raw NGS data generated on Illumina MiSeq instruments at the beta sites were interpreted and compared with NGS and microarray data at Agendia. MP and BP NGS molecular subtypes were compared to surrogate IHC breast cancer subtypes. Equivalence of MP and BP indices was determined by Pearson's correlation coefficient. Acceptable limits were defined a priori, based on microarray data generated at Agendia between 2012 and 2016. The concordance, the Negative Percent Agreement and the Positive Percent Agreement were calculated based on the contingency tables and had to be equal to or higher than 90%. Out of 124 included samples, 48% were MP Low and 52% High Risk with microarray. Molecular subtypes were BP luminal, HER2 or basal in 82%, 8% and 10% respectively. Concordance between MP microarray at Agendia and MP NGS at the beta sites was 91.1%. Concordance of MP High and Low Risk classification between NGS at the beta sites and NGS at Agendia was 93.9%. Concordance of MP and BP molecular subtyping using NGS at the beta sites and microarray at Agendia was 89.5%. Concordance between MP and BP NGS subtyping, and IHC was 71.8% and 76.6%, for two IHC surrogate models. The MP/BP NGS kit was successfully validated in a decentralized setting.

Details

Language :
English
ISSN :
19365233
Volume :
12
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Translational Oncology
Publication Type :
Academic Journal
Accession number :
edsdoj.7dd90bdd8d2b401cbc180de9d3769d13
Document Type :
article
Full Text :
https://doi.org/10.1016/j.tranon.2019.08.008