Microsatellite Instability Analysis for Immunotherapy

Equipped with world-leading technology platforms and professional scientific staff in, Creative Biolabs has established a powerful SuPrecision™ platform to offer next-generation sequencing (NGS) services to all our global clients. Through our one-stop SuPrecision™ platform, our seasoned scientists have employed several different bioinformatics tools for comprehensive microsatellite instability (MSI) analysis for Immunotherapy. We are pleased to share our cutting-edge technology and extensive expertise in MSI analysis to facilitate our clients’ research and project development.

Characteristics of MSI and Analytical Methods

Microsatellites are tandem DNA repeats with one to six bases in coding and non-coding regions throughout the genome. The polymerase slippage during DNA synthesis leads to the accumulation of mutations in microsatellites, and the two main types of errors are base–base mismatches and insertion–deletion. These errors are usually detected and corrected by the DNA mismatch repair (MMR) system. Deficient MMR (dMMR) activity caused by germline mutations or hypermethylation of MMR genes can lead to a hypermutable phenotype at the genomic level. The MMR function can be detected by two types of molecular tests, MSI analysis or immunohistochemical (IHC) loss of expression of any MMR proteins. Before the era of massively parallel DNA sequencing, MSI is detected by PCR-based methods at specific microsatellite markers. As NGS is increasingly applied to detect tumor gene mutations, combining MSI status and mutation detection into the same sequencing process would highly decrease the demand of tissue samples and increase the efficiency of tests. Currently, two types of methods have been proposed for the detection of MSI status by NGS. The first type tries to postulate MSI status from mutation burden, which is usually detected by whole-exome sequencing, and demonstrates a significant correlation between total mutation burden and MSI status. The other type of methods directly measures the level of MSI by the read count distribution of a selected set of loci with different repeat lengths.

MSI Analysis for Immunotherapy at Creative Biolabs

Based on our cutting-edge SuPrecision™ platform, myriad microsatellites can be investigated simultaneously. Scientists from Creative Biolabs has employed several different bioinformatics tools for comprehensive MSI analysis. Using various MSI detection pipelines, we can detect the differences in length of microsatellites in tumor DNA and normal DNA from the same individual. Our data show that MSI is a useful indicator for predicting response to immunotherapy in any solid tumor type.

Key Advantages of MSI Analysis at Creative Biolabs Include but Are Not Limited to:

• Myriad microsatellites can be investigated simultaneously
• Several bioinformatics tools for comprehensive MSI analysis
• Feasible for a variety types of cancer tissues
• No normal tissue required
• Saving resources, costs and time

With Ph.D. level scientists and over a decade of experience in NGS, Creative Biolabs is dedicated to offering the most comprehensive MSI analysis to our global clients. We offer turn-key or ala carte services customized to our client’s needs.

Please contact us for more information and a detailed quote.

Reference

1. Zhu, L.; et al. A Novel and Reliable Method to Detect Microsatellite Instability in Colorectal Cancer by Next-Generation Sequencing. J Mol Diagn. 2018, 20(2):225-231.

1. Tumor Mutational Burden (TMB) Analysis for Response to Checkpoint Immunotherapy
2. Whole Exome Sequencing for Variants Analysis
3. Whole Exome Sequencing for Structural Variants Detection
4. Whole Exome Sequencing for Copy-Number Variants (CNVs) Detection
5. Whole Exome Sequencing for Tumor-Specific Neoantigens Discovery
6. Personal Tumor-Specific Neoantigen Vaccine Development
7. Minimal Residual Disease (MRD) Monitoring Service
8. Whole Exome Sequencing for Biomarkers Discovery
9. Tumor Microenvironment Analysis by RNA-Seq
10. Immune Repertoire Germline Genes and Alleles Identification
11. One-stop Service for Cancer 3D Model
12. Circle-Seq-based eccDNA Identification