MSIsensor

MSIsensor detects microsatellite instability (MSI) by comparing microsatellite length distributions between paired tumor and normal sequence data to assess genome instability relevant to Lynch syndrome and prognostic evaluation in colorectal and endometrial cancer.

Key Features:

• Automated Detection: Identifies somatic microsatellite changes by analyzing paired tumor and normal sequence data.
• Statistical Analysis: Computes length distributions of microsatellites at each site and statistically compares these distributions between tumor and normal samples to determine MSI status.
• Efficiency and Effectiveness: Demonstrated efficiency and effectiveness in deriving MSI status from standard paired sequence datasets.

Scientific Applications:

• Research on Genome Instability: Provides MSI status for studies of genetic diseases and cancer-associated genome instability such as Lynch syndrome.
• Prognostic Assessment and Therapeutic Decision-Making: Informs prognostic evaluations—MSI is associated with favorable survival in certain cancers including colorectal and endometrial cancer—and influences the choice of chemotherapeutic agents for personalized medicine.

Methodology:

Analyzes microsatellite length distributions within paired tumor and normal genomic data and identifies somatic changes indicative of MSI through statistical comparisons of these distributions.