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Robust dPCR Hyper-Plexing Approach by Color Combination for Detection of 17 ESR1 Mutations in Breast Cancer Patient

Sylvain Ursuegui1, Julie Donzier2, Cécile Jovelet3

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Methods in Molecular Biology (Clifton, N.J.)
|October 10, 2025
PubMed
Summary

Digital PCR offers advantages over real-time PCR but has limited multiplexing. A new Crystal Digital PCR method enables high multiplexing for detecting 17 ESR1 mutations in breast cancer singleplex assays.

Keywords:
Breast cancerColor combinationCrystal Digital PCRESR1 mutationsMultiplexing

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Area of Science:

  • Molecular Biology
  • Genomics
  • Oncology

Background:

  • Digital PCR (dPCR) overcomes limitations of real-time PCR, but multiplexing capacity is restricted.
  • Detecting multiple genetic targets in a single reaction is crucial for comprehensive sample characterization.
  • High multiplexing is particularly valuable in oncology for mutation profiling, treatment adaptation, and resistance monitoring.

Purpose of the Study:

  • To address the limited multiplexing in digital PCR for complex genetic analyses.
  • To develop a high-multiplexing approach for detecting numerous mutations in a single reaction.
  • To apply this method for the sensitive detection of ESR1 gene mutations in breast cancer.

Main Methods:

  • Utilized Crystal Digital PCR® technology.
  • Implemented a color combination strategy to enhance multiplexing capabilities.
  • Developed a single assay for detecting multiple targets.

Main Results:

  • Achieved high levels of multiplexing using the Crystal Digital PCR® color combination approach.
  • Successfully developed and applied an assay for the simultaneous detection of 17 ESR1 mutations.
  • Maintained simplicity and robustness in the analysis.

Conclusions:

  • Crystal Digital PCR® with color combination effectively overcomes multiplexing limitations.
  • This approach enables sensitive and comprehensive genetic characterization, especially in oncology.
  • The developed assay is valuable for analyzing ESR1 mutations in breast cancer, aiding treatment decisions.