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Updated: May 28, 2026

Deficient Pms2, ERCC1, Ku86, CcOI in Field Defects During Progression to Colon Cancer
Published on: July 28, 2010
Microsatellite instability and colorectal cancer
Katherine B Geiersbach1, Wade S Samowitz
1Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT 84108, USA. katherine.geiersbach@aruplab.com
Universal screening for Lynch syndrome in colorectal cancer patients is recommended. Microsatellite instability testing, including immunohistochemistry and polymerase chain reaction, aids in early detection for improved surveillance.
Area of Science:
- Oncology
- Genetics
- Molecular Diagnostics
Background:
- Microsatellite instability (MSI) characterizes approximately 15% of colorectal cancers.
- Lynch syndrome accounts for 2%-4% of colorectal cancers and is a hereditary condition increasing risk for multiple cancers.
- Identifying Lynch syndrome enables enhanced surveillance for patients and their families.
Purpose of the Study:
- To review the literature on microsatellite instability (MSI) in colorectal cancer.
- To examine current laboratory diagnostic testing strategies for Lynch syndrome detection.
Main Methods:
- Literature review of peer-reviewed articles.
- Analysis of published guidelines from professional organizations.
- Inclusion of data from clinical laboratories performing MSI testing.
Main Results:
- Universal screening for Lynch syndrome in colorectal cancer patients is recommended.
- Preliminary screening tests can effectively identify individuals unlikely to have Lynch syndrome.
- Immunohistochemistry and polymerase chain reaction-based MSI tests demonstrate comparable clinical utility.
- BRAF and MLH1 methylation testing serve as valuable reflex tests for MLH1 defects.
Conclusions:
- Early identification of Lynch syndrome through universal screening is crucial.
- Current MSI testing methods are effective, with complementary roles for specific gene and methylation analyses.
- Emerging technologies like high-throughput sequencing are expected to influence future diagnostic algorithms.
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