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Wild-type Blocking PCR Combined with Direct Sequencing as a Highly Sensitive Method for Detection of Low-Frequency Somatic Mutations
Published on: March 29, 2017
PIK3CA mutation profiling in patients with breast cancer, using a highly sensitive detection system
Tatsunori Shimoi1,2, Akinobu Hamada3, Marifu Yamagishi4
1Department of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo.
A new quenching probe (QP) system effectively detects PIK3CA mutations in breast cancer DNA, showing high accuracy with formalin-fixed paraffin-embedded (FFPE) tissues. These mutations are linked to patient relapse-free survival, highlighting the QP system
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- PIK3CA mutations are prevalent in breast cancer (20-30% of cases) and predict response to PI3K inhibitors.
- Accurate detection of these mutations is crucial for guiding treatment decisions.
- Existing detection methods may have limitations in sensitivity and applicability to clinical samples.
Purpose of the Study:
- To develop and validate a novel, sensitive quenching probe (QP) system for detecting PIK3CA mutations in breast cancer.
- To assess the performance of the QP system using DNA from both fresh-frozen and formalin-fixed paraffin-embedded (FFPE) tissues.
- To investigate the prognostic significance of PIK3CA mutations in breast cancer patient outcomes.
Main Methods:
- A quenching probe (QP) system was developed to detect PIK3CA mutations.
- DNA from 309 breast cancer tissue samples (fresh-frozen and FFPE) was analyzed.
- The QP system's performance was evaluated against direct sequencing (DS) and droplet digital PCR (ddPCR) in a blinded validation cohort.
Main Results:
- The QP system demonstrated high concordance (96%) between fresh-frozen and FFPE DNA.
- In the validation cohort, the QP system (via ddPCR) achieved 100% sensitivity and 100% specificity for PIK3CA mutation detection.
- Direct sequencing (DS) showed lower sensitivity (60%) compared to the QP system.
- PIK3CA mutations, particularly H1047R, were identified as prognostic factors for relapse-free survival.
Conclusions:
- The novel QP system offers a sensitive and reliable method for detecting PIK3CA mutations in breast cancer, outperforming direct sequencing.
- The system is effective with FFPE tissues, making it suitable for clinical diagnostics.
- PIK3CA mutational status is a significant prognostic indicator for relapse-free survival in breast cancer patients.
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