A de novo pathogenic variant in the MSH6 gene in a 52 years-old woman.

Lynch syndrome (LS) is a condition which predisposes individuals primarily to early-onset colorectal and endometrial cancer. LS is characterized by a germline pathogenic variant in one of the MMR (MisMatch Repair) gene, inducing a phenotype of microsatellite instability in the tumor, which may be associated with a loss of expression of MMR proteins detected by standard immunohistochemistry on tumor tissue. Most of the time, LS is inherited from a parent in whom the condition may not be known due to incomplete penetrance, but de novo pathogenic variant is a rare occurrence. Here, we describe the case of a 52-year-old woman with no family history of LS, referred to the genetics department for colorectal cancer at the age of 50. Genetic analysis revealed a de novo germline pathogenic variant in the MSH6 gene. To date, this case is only the second report of a de novo pathogenic variant in the MSH6 gene in Lynch syndrome. De novo mutations have been extensively studied over the past years, but little is known about their origin and mechanism of occurrence in MMR genes. However, knowledge of mutation status allows better cancer risk management for the patient and an appropriate genetic testing and counseling for her family.

MEM: An Algorithm for the Reliable Detection of Microsatellite Instability (MSI) on a Small NGS Panel in Colorectal Cancer.

PURPOSE: MEM is an NGS algorithm that uses Expectation-Maximisation to detect the presence of unstable alleles from the NGS sequences of five microsatellites (BAT-25, BAT-26, NR-21, NR-24 and NR-27). The purpose of this study was to compare the MEM algorithm with a reference PCR method (MSI-PCR) and MisMatch Repair protein immunohistochemistry (MMR-IHC). METHODS: FFPE colorectal cancer samples from 146 patients were analysed in parallel by MSI-PCR and NGS using the MEM algorithm. MMR-IHC results were available for 133 samples. Serial dilutions of an MSI positive control were performed to estimate the limit of detection. RESULTS: the MEM algorithm was able to detect unstable alleles of each microsatellite with up to a 5% allelic fraction. Of the 146 samples, 28 (19.2%) were MSI in MSI-PCR. MEM algorithm results were in perfect agreement with those of MSI-PCR, at both MSI status and individual microsatellite level (Cohen's kappa = 1). A high level of agreement was noted between MSI-PCR/MEM algorithm results and MMR-IHC results (Cohen's kappa = 0.931). CONCLUSION: the MEM algorithm can determine the MSI status of colorectal cancer samples on a small NGS panel, using only five microsatellites approved by international guidelines, and can be combined with screening for targetable mutations.