Optimization of EGFR mutation detection by the fully-automated qPCR-based Idylla system on tumor tissue from patients with non-small cell lung cancer-Reference-Cited by-同舟云学术

Optimization of EGFR mutation detection by the fully-automated qPCR-based Idylla system on tumor tissue from patients with non-small cell lung cancer

Published:2017-10-04 Issue:61 Volume:8 Page:103055-103062
ISSN:1949-2553
Container-title:Oncotarget
language:en
Short-container-title:Oncotarget

Author:

Ilie Marius¹²³,Butori Catherine¹³,Lassalle Sandra¹²³,Heeke Simon²,Piton Nicolas⁴,Sabourin Jean-Christophe⁴,Tanga Virginie³,Washetine Kevin¹³,Long-Mira Elodie¹²³,Maitre Priscilla³,Yazbeck Nathalie²,Bordone Olivier³,Lespinet Virginie³,Leroy Sylvie⁵,Cohen Charlotte⁶,Mouroux Jérôme²⁶,Marquette Charles Hugo²⁵,Hofman Véronique¹²³,Hofman Paul¹²³

Affiliation:

1. Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, FHU OncoAge, University Côte d’Azur, Nice, France

2. IRCAN Inserm U1081/CNRS 7284, FHU OncoAge, University Côte d’Azur, Nice, France

3. Hospital-related Biobank (BB-0033-00025), Pasteur Hospital, FHU OncoAge, University Côte d’Azur, Nice, France

4. Department of Pathology, Rouen University Hospital, Rouen, France

5. Department of Pulmonary Medicine and Thoracic Oncology, Pasteur Hospital, FHU OncoAge, University Côte d’Azur, Nice, France

6. Department of Thoracic Surgery, Pasteur Hospital, FHU OncoAge, University Côte d’Azur, Nice, France

Publisher

Impact Journals, LLC

Subject

Oncology

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