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Improving Mutation Screening in Patients with Colorectal Cancer Predisposition Using Next-Generation Sequencing
Jean-Marc Rey1, Vincent Ducros1, Pascal Pujol2
1Laboratoire de Biopathologie Cellulaire et Tissulaire des Tumeurs, Arnaud de Villeneuve Hospital, Montpellier, France.
The Journal of Molecular Diagnostics : JMD
|May 16, 2017
Summary
Next-generation sequencing (NGS) effectively identifies genetic alterations for colorectal cancer risk assessment. This study validates a comprehensive NGS test for mismatch repair and familial adenomatous polyposis genes, aiding rapid individual risk evaluations.
Area of Science:
- Genetics
- Oncology
- Molecular Biology
Background:
- Accurate identification of genetic alterations is crucial for colorectal cancer (CRC) family risk assessment.
- Next-generation sequencing (NGS) offers a powerful approach for simultaneous genetic analysis of multiple genes and samples.
Purpose of the Study:
- To validate a multiplex PCR-based NGS assay for simultaneous detection of mutations in mismatch repair (MMR) and familial adenomatous polyposis (FAP) genes.
- To assess the utility of this NGS assay for clinical diagnosis and individual cancer risk assessment.
Main Methods:
- Validation of Multiplicom MASTR designs for MMR and FAP genes using NGS on a MiSeq platform.
- Simultaneous analysis of eight DNA samples per run.
- Testing of 224 patient blood samples.
Main Results:
- The assay correctly identified 97 known mutations in a validation cohort.
- NGS detected single-nucleotide variations in PMS2, with copy number variation (CNV) analysis confirmed for clinical use.
- In routine diagnostics, 27 variants of unknown significance, 21 disease-causing variants, and two CNVs were identified.
- MUTYH mutations were found in two patients undergoing MMR testing, and one patient had both MUTYH and MSH6 mutations.
Conclusions:
- The validated NGS assay enables accurate and rapid individual risk assessment for colorectal cancer.
- The method effectively identifies disease-causing mutations and copy number variations in MMR and FAP genes.
- This approach aids in identifying potential cancer risk modifiers and optimizing clinical management strategies.

