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Detection of Rare Mutations in CtDNA Using Next Generation Sequencing
Published on: August 24, 2017
Pyrosequencing data analysis software: a useful tool for EGFR, KRAS, and BRAF mutation analysis.
1Department of Pathology, Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, Florida 33612, USA.
Diagnostic Pathology
|May 30, 2012
Summary
A new software tool automates pyrosequencing data analysis for mutation testing, improving accuracy and efficiency in clinical diagnostics. This molecular diagnostic tool enhances laboratory workflows by reducing errors in analyzing epidermal growth factor receptor, Kirsten rat sarcoma viral oncogene homolog, and v-raf murine sarcoma viral oncogene homolog B1 mutations.
Area of Science:
- Molecular Diagnostics
- Bioinformatics
- Genetics
Background:
- Pyrosequencing is a valuable technology for mutation detection but relies on manual data analysis prone to human error.
- Clinical diagnostic laboratories require more efficient and accurate methods for analyzing pyrosequencing data.
- Developed software aims to address the limitations of manual pyrosequencing data analysis.
Purpose of the Study:
- To develop and evaluate computer software for automated pyrosequencing mutation data analysis.
- To improve the efficiency and reduce error rates in molecular diagnostic laboratories.
- To provide a reliable tool for analyzing mutations in specific genes like EGFR, KRAS, and BRAF.
Main Methods:
- Software development for pyrosequencing data analysis.
- Input data includes targeted sequences, common mutations, dispensing order, pyrogram peak order, and heights.
- Output provides mutation type and percentage of mutant gene.
Main Results:
- The developed software was used to analyze 1375 pyrosequencing test results.
- Software analysis was performed in parallel with manual analysis.
- The software achieved correct results for all 1375 cases, demonstrating high accuracy.
Conclusions:
- The software is a valuable molecular diagnostic tool for pyrosequencing mutation data.
- It significantly increases laboratory data analysis efficiency.
- The software effectively reduces the data analysis error rate in clinical settings.
