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Published on: October 18, 2013
Identification of Novel Mutations in Colorectal Cancer Patients Using AmpliSeq Comprehensive Cancer Panel
Bader Almuzzaini1, Jahad Alghamdi2, Alhanouf Alomani3
1King Abdullah International Medical Research Center, Medical Genomics Research Department, Ministry of National Guard Health Affairs, King Saud Bin Abdulaziz University for Health Sciences, Riyadh 11481, Saudi Arabia.
Researchers discovered 466 novel genetic variants in Saudi colorectal cancer patients, identifying potential biomarkers for personalized medicine and advancing precision oncology. This study highlights key mutations in APC, RET, and EGFR genes.
Area of Science:
- Genomics
- Oncology
- Personalized Medicine
Background:
- Biomarker discovery is crucial for advancing precision and personalized medicine.
- Identifying novel variants in local populations is essential for developing targeted therapies.
- Understanding variant patterns in colorectal cancer (CRC) is needed for effective clinical application.
Purpose of the Study:
- To generate high-quality sequencing data from Saudi CRC patients.
- To identify novel somatic variants and understand their occurrence patterns.
- To lay the groundwork for biomarker discovery and driver gene mutation identification in the local population.
Main Methods:
- Utilized archived samples from Saudi Arabia.
- Employed the AmpliSeq comprehensive cancer panel for variant identification.
- Performed next-generation sequencing with >300X coverage for comprehensive analysis.
Main Results:
- Identified 466 novel somatic variants, previously unreported in COSMIC and ICGC databases.
- Found 174 pathogenic somatic variants unique to the large intestine.
- Observed frequent mutations in APC, RET, and EGFR genes, with more variants in the left colon.
Conclusions:
- The study identified numerous novel variants, providing potential targets for personalized CRC biomarkers.
- Network analysis suggested affected pathways and potential biomarker candidates.
- This research establishes a foundation for future biomarker development and driver mutation identification in the Saudi population.
