Microsatellite Instability Characterization via Indel Distribution Analysis
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Solution Overview
Problem
Current methods for classifying microsatellite instability in tumors are inefficient due to the repetitive nature of microsatellites, making it challenging to analyze using existing sequencing methodologies, and there is a need for improved methods to characterize MSI and select appropriate treatments.
Innovation Solution
A method involving low coverage whole-genome sequencing or targeted Next-Generation Sequencing to compare the distribution of insertions and deletions in microsatellite indels across a genome, calculating a log likelihood ratio to determine MSI status, and administering immune checkpoint blockade therapy, such as PD-1/PD-L1 inhibitors, for treatment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If low throughput PCR- or immunohistochemistry-based testing technologies are used to identify MSI/MSS tumors, then the testing process is simpler and faster, but the measurement precision and reliability of MSI classification is insufficient
Solution Approach 1:
The patent segments the microsatellite analysis into specific loci regions across the genome, analyzing indel distributions at multiple predetermined microsatellite loci rather than attempting to analyze all microsatellites simultaneously. This segmentation enables accurate MSI classification while managing computational and analytical complexity.
Solution Approach 2:
The patent changes the parameter of analysis from traditional presence/absence testing to distribution-based analysis of insertion and deletion events across multiple microsatellite loci. By examining the distribution pattern of indels rather than simple detection, the method achieves higher measurement precision for MSI classification.
2Reliability
If current sequencing methodologies are used to analyze microsatellites, then the sequencing technology is more comprehensive, but the repetitive nature of microsatellites makes analysis challenging and less reliable
Solution Approach 1:
The patent extracts and focuses analysis on specific indel events at predetermined microsatellite loci rather than attempting to analyze the entire repetitive microsatellite sequences. By taking out and isolating specific indel patterns, the method overcomes the difficulty of analyzing repetitive structures while maintaining reliability.
Solution Approach 2:
Instead of trying to sequence and analyze the repetitive microsatellite sequences directly (the conventional approach), the patent inverts the approach by analyzing the indel distributions that result from mismatch repair defects. This inversion simplifies the detection challenge while improving reliability.
3Productivity
If high throughput sequencing is used to analyze microsatellite indels, then the productivity and coverage are improved, but the complexity of data analysis and interpretation increases
Solution Approach 1:
The patent segments the genomic analysis into predetermined microsatellite loci regions, focusing productivity on specific areas where indels are most informative for MSI classification. This segmentation enables high throughput analysis while managing data complexity by concentrating on predefined regions rather than the entire genome.
Solution Approach 2:
The patent creates a universal analysis framework that can be applied across multiple tumor types and sequencing platforms. The method uses a standardized approach to indel distribution analysis that works with different sequencing technologies, improving productivity while reducing analysis complexity through standardization.
Data Source
AI summary
The invention provides methods for characterizing microsatellite instability in biological samples and for selecting a treatment for a subject having a neoplasia.