Prospective Evaluation of Single Nucleotide Variants by Two Different Technologies in Paraffin Samples of Advanced Non-Small Cell Lung Cancer Patients

Autor: Karmele Saez de Gordoa, Elena Gonzalvo, Roxana Reyes, Laura Mezquita, Elba Marin, Cristina Teixidó, Ainara Arcocha, Pedro Jares, Nuria Viñolas, Noemi Reguart
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Diagnostics
Volume 10
Issue 11
Diagnostics, Vol 10, Iss 902, p 902 (2020)
ISSN: 2075-4418
DOI: 10.3390/diagnostics10110902
Popis: Targeted therapies are a new paradigm in lung cancer management. Next-generation sequencing (NGS) techniques have allowed for simultaneous testing of several genes in a rapid and efficient manner
however, there are other molecular diagnostic tools such as the nCounter®
Vantage 3D single nucleotide variants (SNVs) solid tumour panel which also offer important benefits regarding sample input and time-to-response, making them very attractive for daily clinical use. This study aimed to test the performance of the Vantage panel in the routine workup of advanced non-squamous non-small cell lung cancer (NSCLC) patients and to validate and compare its outputs with the Oncomine Solid Tumor (OST) panel DNA kit, the standard technique in our institution. Two parallel multiplexed approaches were performed based on DNA NGS and direct digital detection of DNA with nCounter®
technology to evaluate SNVs. A total of 42 advanced non-squamous NSCLC patients were prospectively included in the study. Overall, 95% of samples were successfully characterized by both technologies. The Vantage panel accounted for a sensitivity of 95% and a specificity of 82%. In terms of predictive values, the probability of truly presenting the SNV variant when it is detected by the nCounter panel was 82%, whereas the probability of not presenting the SNV variant when it is not detected by the platform was 95%. Finally, Cohen&rsquo
s Kappa coefficient was 0.76, indicating a substantial correlation grade between OST and Vantage panels. Our results make nCounter an analytically sensitive, practical and cost-effective tool.
Databáze: OpenAIRE
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