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• W2885364756 abstract "Abstract Background Clinical guidelines recommend microsatellite instability (MSI) and BRAF V600E testing of all colorectal cancers (CRCs) to screen for Lynch syndrome (LS), a hereditary predisposition to cancer. MSI is also associated with response to immunotherapy. However, uptake of MSI testing is poor and current assays are not suitable for high throughput diagnostics. We aimed to develop a cheap and scalable sequencing assay for MSI classification, which is robust to variables in clinical samples and simultaneously tests for BRAF V600E to streamline the LS screening pipeline. Methods 24 short (7-12bp) microsatellites and the BRAF V600E locus were amplified in multiplex using single molecule molecular inversion probes (smMIPs) and sequenced using the Illumina MiSeq platform. Reads were aligned to reference genome hg19. An MSI classifier was trained from 98 CRCs and validated in 99 independent CRCs collected in pathology laboratories in Edinburgh, Spain and Newcastle. Results The smMIP-based MSI assay has 100% accuracy for MSI status relative to MSI Analysis System (Promega). MSI classification is reproducible (100% concordance) and is robust to sample variables, detecting less than 5% MSI-high content in template DNA and giving reliable classification from sequencing only 75 DNA molecules per marker. BRAF V600E was detected with mutant allele frequencies down to 1.7%. Conclusions Our short microsatellite, smMIP-based, MSI assay provides a cheap and fully automatable assessment of MSI status and BRAF mutation. It is readily scalable to high throughput cancer diagnostics, and is suitable both as a companion diagnostic for immunotherapy and for streamlined LS screening." @default.
• W2885364756 created "2018-08-22" @default.
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• W2885364756 date "2018-08-01" @default.
• W2885364756 modified "2023-10-16" @default.
• W2885364756 title "A molecular inversion probe and sequencing-based microsatellite instability assay for high throughput cancer diagnostics and Lynch syndrome screening" @default.
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• W2885364756 doi "https://doi.org/10.1101/382754" @default.
• W2885364756 hasPublicationYear "2018" @default.
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