Hybridization-based sensor with large dynamic range for detection of circulating tumor DNA in clinical samples

Yannick Stulens1, Rebekka Van Hoof2, Karen Hollanders3

  • 1UHasselt, Data Science Institute, Theory Lab, Agoralaan, Diepenbeek, 3590, Belgium.

PubMed

Insights

This study enhances liquid biopsy by improving circulating tumor DNA (ctDNA) detection. Wild-type target depletion and thermodynamic theory boost biosensor sensitivity and dynamic range for accurate cancer mutation analysis.

Area of Science:

  • Biotechnology
  • Molecular Diagnostics
  • Genomics

Background:

  • Liquid biopsies offer non-invasive cancer detection and monitoring via circulating tumor DNA (ctDNA).
  • ctDNA constitutes a small fraction of cell-free DNA (cfDNA), often differing by a single nucleotide, posing analytical challenges.
  • Hybridization-based biosensors require high analytical performance for accurate ctDNA mutation detection.

Purpose of the Study:

  • To improve the analytical performance of hybridization-based biosensors for ctDNA mutation quantification.
  • To enhance the sensitivity and dynamic range of ctDNA detection in liquid biopsies.
  • To develop a robust method applicable to various hybridization-based biosensing platforms.

Main Methods:

  • Utilized clinical samples for analysis.
  • Implemented wild-type target depletion strategy.
  • Developed and applied a thermodynamic theory for competitive hybridization.
  • Optimized experimental conditions and data analysis based on the theory.

Main Results:

  • Achieved an order of magnitude improvement in both sensitivity and dynamic range for ctDNA mutation quantification.
  • Demonstrated enhanced performance compared to clinically-validated real-time PCR and digital PCR assays.
  • Validated the approach using clinical samples.

Conclusions:

  • The developed method significantly improves ctDNA quantification in liquid biopsies.
  • Wild-type target depletion combined with thermodynamic theory offers a robust solution for enhancing biosensor performance.
  • This approach is broadly applicable to various hybridization-based biosensors for improved clinical diagnostics.

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