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Clinical performance evaluation of a sensitive, rapid low-throughput test for KRAS mutation analysis using formalin-fixed, paraffin-embedded tissue samples

BACKGROUND: Testing for KRAS mutations in metastatic colorectal cancer (mCRC) on formalin-fixed, paraffin embedded (FFPE) tumor tissue has become standard of care. Different molecular methods exist to determine hotspot KRAS mutations in exon 2, 3 and 4, but testing is often limited by the sensitivit...

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Detalles Bibliográficos
Autores principales: Weyn, Christine, Van Raemdonck, Sofie, Dendooven, Robina, Maes, Vincent, Zwaenepoel, Karen, Lambin, Suzan, Pauwels, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5312443/
https://www.ncbi.nlm.nih.gov/pubmed/28201998
http://dx.doi.org/10.1186/s12885-017-3112-0
Descripción
Sumario:BACKGROUND: Testing for KRAS mutations in metastatic colorectal cancer (mCRC) on formalin-fixed, paraffin embedded (FFPE) tumor tissue has become standard of care. Different molecular methods exist to determine hotspot KRAS mutations in exon 2, 3 and 4, but testing is often limited by the sensitivity and the speed of analysis. The aim of this retrospective study was to establish the clinical performance of the Idylla™ KRAS Mutation Test on FFPE tumor samples of patients with mCRC. METHODS: KRAS mutation analysis was performed using the therascreen KRAS on the RotorGene Q platform (CE-IVD; Qiagen) and results were subsequently compared to the Idylla™ KRAS Mutation Test. Discordant result testing was performed with massive parallel sequencing or alternative routine approaches. RESULTS: Data from 182 samples were used to show that the overall agreement between the two methods for mutation characterization was 96.7% [95%CI: 93.0%-98.5%]. Six out of 182 samples (3.3%) showed true discordant results. CONCLUSION: The Idylla™ KRAS Mutation Test allows for a fast and reliable analysis of FFPE samples with a turnaround-time of two hours without the need of molecular infrastructure or expertise in order to guide the personalized treatment of colorectal cancer patients.