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Detection and Quantification of KIT Mutations in ctDNA by Plasma Safe-SeqS
Johannes Fredebohm1, Daniel H Mehnert2, Ann-Kathrin Löber2
1Sysmex Inostics GmbH, Falkenried 88, 20251, Hamburg, Germany. Fredebohm.Johannes@sysmex-inostics.com.
Advances in Experimental Medicine and Biology
|October 19, 2016
Summary
A new Safe-SeqS assay detects KIT gene mutations in gastrointestinal stromal tumor (GIST) patients. This method identified mutations related to regorafenib treatment and resistance.
Area of Science:
- Oncology
- Genetics
- Molecular Biology
Background:
- Gastrointestinal stromal tumors (GIST) are often driven by mutations in the KIT gene.
- Secondary resistance to targeted therapies like regorafenib is a significant clinical challenge in GIST management.
- Sensitive detection of emerging mutations is crucial for understanding treatment response and resistance mechanisms.
Purpose of the Study:
- To develop and validate a highly sensitive assay for detecting de novo KIT gene mutations.
- To apply this assay to plasma samples from GIST patients undergoing regorafenib treatment.
- To identify known and novel mutation sites associated with secondary resistance to regorafenib.
Main Methods:
- Design and implementation of a highly sensitive assay utilizing Safe-SeqS technology.
- Application of the assay to serial plasma samples from GIST patients in the GRID III clinical trial.
- Genomic DNA extraction from plasma and subsequent sequencing to detect low-frequency mutations.
Main Results:
- The Safe-SeqS assay demonstrated high sensitivity in detecting de novo KIT mutations.
- Analysis of patient samples revealed mutations at known and previously unidentified sites.
- Identified mutations provide insights into mechanisms of secondary resistance to regorafenib.
Conclusions:
- The developed Safe-SeqS assay is a powerful tool for monitoring GIST patients and detecting resistance mutations.
- Understanding the mutational landscape during treatment can inform future therapeutic strategies.
- This technology aids in the early identification of resistance mechanisms, potentially improving patient outcomes.

