Abstract

Abstract Background: Microsatellite instability (MSI) is a hypermutator phenotype occurring in gastrointestinal, endometrial and colorectal tumors, and more rarely, in urinary tract, ovarian, breast, prostate, lung, head and neck, liver and glioblastoma tumors. The diagnosis of MSI phenotype has recently emerged as the first pan-tumor biomarker likely to predict clinical benefit from immune-checkpoint blockade therapy, making its precise identification primordial for treatment decisions and disease monitoring. Current diagnosis of MSI is performed by multiplex PCR of five microsatellite markers, followed by capillary electrophoresis to detect shifts in allele size. An important limitation of this method is its low sensitivity preventing its use when tumor content is below 10%. Methods: We designed ddPCR assays examining 3 microsatellites. Analytical performance was assessed in vitro. Clinical performance was evaluated in a series of FFPE and body fluid DNA samples obtained from patients with Stage IV colorectal or endometrial carcinomas, previously classified as MSI-H or MSS using the standard pentaplex PCR method. Mutant allele frequencies (MAF) quantified with the ddPCR MSI assay were also compared with the MAFs reported by ddPCR assays targeting specific BRAF or PIK3CA mutations. Results: The ddPCR assays for the 3 microsatellites were found to have high specificity and reached a limit of detection of <0.1%. A perfect concordance with the MSI status determined by the pentaplex assay was observed in the 50 tumor samples tested (25 MSI-H and 25 MSS). Importantly, the ddPCR assays diagnosed the MSI phenotype in the plasma of all patients with MSI-H tumors, without false positives in MSS cases. Furthermore, an excellent correlation was observed in the 6 FFPE (R2:0.81) and 8 body fluid (R2:0.99) MSI-H samples were the MAFs measured by our assay could be compared with the ones obtained by ddPCR assays targeting specific mutations in BRAF or PIK3CA genes. Conclusion: This technique allows a cost-effective, sensitive and large scale screening of the MSI phenotype, as well as the follow-up of MSI patients using liquid biopsies. Citation Format: Marc-Henri Stern, Amanda B. Silveira, Ivan Bieche, Samia Melaabi, Luc Cabel, Bruno Buecher, Jean-Yves Pierga, Francois-Clement Bidard, Charlotte Proudhon. Detecting MSI phenotype in circulating blood DNA [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4599.

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