Detection Of Microsatellite Instability In Cancer Research Articles

LT-RPA: An Isothermal DNA Amplification Approach for Improved Microsatellite Genotyping and Microsatellite Instability Detection.

Microsatellites are short tandem repeats of one to six nucleotides that are highly polymorphic and extensively used as genetic markers in numerous biomedical applications, including the detection of microsatellite instability (MSI) in cancer. The standard analytical method for microsatellite analysis relies on PCR amplification followed by capillary electrophoresis or, more recently, next-generation sequencing (NGS). However, their amplification during PCR generates undesirable frameshift products known as stutter peaks caused by polymerase slippage, complicating data analysis and interpretation, while very few alternative methods for microsatellite amplification have been developed to reduce the formation of these artifacts. In this context, the recently developed low-temperature recombinase polymerase amplification (LT-RPA) is an isothermal DNA amplification method at low temperature (32°C) that drastically reduces and sometimes completely abolishes the formation of stutter peaks. LT-RPA greatly simplifies the genotyping of microsatellites and improves the detection of MSI in cancer. In this chapter, we describe in detail all the experimental steps necessary for the development of LT-RPA simplex and multiplex assays for microsatellite genotyping and MSI detection, including the design, optimization, and validation of the assays combined with capillary electrophoresis or NGS.

Molecular and Computational Methods for the Detection of Microsatellite Instability in Cancer.

Microsatellite instability (MSI) is a genomic alteration in which microsatellites, usually of one to four nucleotide repeats, accumulate mutations corresponding to deletions/insertions of a few nucleotides. The MSI phenotype has been extensively characterized in colorectal cancer and is due to a deficiency of the DNA mismatch repair system. MSI has recently been shown to be present in most types of cancer with variable frequencies (from <1 to 30%). It correlates positively to survival outcome and predicts the response to immune checkpoint blockade therapy. The different methods developed for MSI detection in cancer require taking into consideration two critical parameters which influence method performance. First, the microsatellite markers used should be chosen carefully to ensure they are highly sensitive and specific for MSI detection. Second, the analytical method used should be highly resolute to allow clear identification of MSI and of the mutant allele genotype, and should present the lowest limit of detection possible for application in samples with low mutant allele frequency. In this review, we describe all the different molecular and computational methods developed to date for the detection of MSI in cancer, how they have evolved and improved over the years, and their advantages and drawbacks.