scholarly journals Comparison of Two Methods to Extract DNA from Formalin-Fixed, Paraffin-Embedded Tissues and their Impact on EGFR Mutation Detection in Non-small Cell Lung Carcinoma

2014 ◽  
Vol 15 (6) ◽  
pp. 2733-2737 ◽  
Author(s):  
Yu-Chang Hu ◽  
Qian Zhang ◽  
Yan-Hua Huang ◽  
Yu-Fei Liu ◽  
Hong-Lei Chen
2020 ◽  
Author(s):  
Mercedes Delgado-Garcia ◽  
Birgit Weynand ◽  
Lourdes Gómez Izquierdo ◽  
María José Hernández Barrera ◽  
Ángela María Blanco Lobo ◽  
...  

Abstract Background: detection of epidermal growth factor receptor (EGFR) mutations in exons 18-21 is recommended in all patients with advanced Non-small-cell lung carcinoma due to the demonstrated efficiency of the standard therapy with tyrosine kinase inhibitors in EGFR-mutated patients. Therefore, choosing a suitable technique to test EGFR mutational status is crucial to warrant a valid result in a short turnaround time using the lowest possible amount of tissue material.The Idylla™ EGFR Mutation Test is a simple, fast and reliable method designed for the detection of EGFR mutations from formalin-fixed paraffin-embedded samples. The aim of this study was the Clinical Performace Evaluation of the Idylla™ EGFR Mutation Test on the Idylla™ System.Methods: EGFR mutational status was determined on 132 archived formalin-fixed paraffin-embedded tissue sections with Idylla™ technology. Results were compared with the results previously obtained by routine method in the reference lab (Therascreen® EGFR RGQ PCR v2, Qiagen in Molecular Pathology lab, Hospital Universitario Virgen del Rocío de Sevilla).Results: the overall agreement between results obtained with the Idylla™ EGFR Mutation Test and the Comparator test method was 95.38% (with 1-sided 95% lower limit of 91.7%) showing Positive Diagnostic Agreement of 93.22% and Negative Diagnostic Agreement of 97.18%, with a Limit Of Detection ≤5%. Conclusions: the Idylla™ EGFR Mutation Test passed its clinical validity performance characteristics for accuracy.


Oncogene ◽  
2019 ◽  
Vol 38 (48) ◽  
pp. 7366-7366
Author(s):  
Mohamed F. Salama ◽  
Mengling Liu ◽  
Christopher J. Clarke ◽  
Mel Pilar Espaillat ◽  
John D. Haley ◽  
...  

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