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Hum Mutat ; 41(1): 332-341, 2020 01.
Artículo en Inglés | MEDLINE | ID: mdl-31471937

RESUMEN

Microsatellite instability (MSI) testing of colorectal cancers (CRCs) is used to screen for Lynch syndrome (LS), a hereditary cancer-predisposition, and can be used to predict response to immunotherapy. Here, we present a single-molecule molecular inversion probe and sequencing-based MSI assay and demonstrate its clinical validity according to existing guidelines. We amplified 24 microsatellites in multiplex and trained a classifier using 98 CRCs, which accommodates marker specific sensitivities to MSI. Sample classification achieved 100% concordance with the MSI Analysis System v1.2 (Promega) in three independent cohorts, totaling 220 CRCs. Backward-forward stepwise selection was used to identify a 6-marker subset of equal accuracy to the 24-marker panel. Assessment of assay detection limits showed that the 24-marker panel is marginally more robust to sample variables than the 6-marker subset, detecting as little as 3% high levels of MSI DNA in sample mixtures, and requiring a minimum of 10 template molecules to be sequenced per marker for >95% accuracy. BRAF c.1799 mutation analysis was also included to streamline LS testing, with all c.1799T>A variants being correctly identified. The assay, therefore, provides a cheap, robust, automatable, and scalable MSI test with internal quality controls, suitable for clinical cancer diagnostics.


Asunto(s)
Marcadores Genéticos , Predisposición Genética a la Enfermedad , Pruebas Genéticas , Ensayos Analíticos de Alto Rendimiento , Inestabilidad de Microsatélites , Repeticiones de Microsatélite , Alelos , Biomarcadores de Tumor , Línea Celular , Neoplasias Colorrectales/diagnóstico , Neoplasias Colorrectales/genética , Reparación de la Incompatibilidad de ADN , Estudios de Asociación Genética/métodos , Pruebas Genéticas/métodos , Pruebas Genéticas/normas , Genotipo , Secuenciación de Nucleótidos de Alto Rendimiento , Ensayos Analíticos de Alto Rendimiento/métodos , Ensayos Analíticos de Alto Rendimiento/normas , Humanos , Técnicas de Diagnóstico Molecular , Fosforilación , Reproducibilidad de los Resultados
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