Biomarker panel and methods for detecting microsatellite instability in cancers
A technology for biomarkers and biological samples, applied in biochemical equipment and methods, determination/inspection of microorganisms, etc., can solve the problems of repeated scoring of single homopolymers, high cost, low sensitivity, etc.
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[0211] 1. Detection of microsatellite instability (microsatellite instability) in cancer samples with a new collection of highly sensitive markers Instability, MSI)
[0212] It is not easy to derive a minimum set of 4 markers from any given set of markers. For example, Zhao et al., 2014, eLife, described Sequenom analysis of 18 MSI-H samples using a panel of 59 markers revealed that the markers were called mutants in an average of 44.26% of the samples. Despite the high performance of this large panel of markers in detecting MSI status, a random set of 4 selected markers derived from it was less effective than the core set including ACRV2A, DIDO1, MRE11, SULF2 proposed here. Theoretical performance is much worse. Such randomly selected panels are additionally susceptible to the disadvantage that they may contain markers that show race-dependent differences in homopolymeric regions, such as that observed for the marker TMEM65 for the Caribbean population. This discrepancy...
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