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High sensitivity CIP2A detection for oral cancer using a rapid transistor-based biosensor module.

Minghan Xian1, Jenna L Stephany2, Chan-Wen Chiu1

  • 1Department of Chemical Engineering, University of Florida, Gainesville, Florida 32611.

Journal of Vacuum Science and Technology. B, Nanotechnology & Microelectronics : Materials, Processing, Measurement, & Phenomena : JVST B
|December 19, 2022
PubMed
Summary
This summary is machine-generated.

A new transistor-based sensor offers rapid, on-site detection of CIP2A protein, crucial for early oral squamous cell carcinoma diagnosis. This point-of-care technology achieves high sensitivity, improving survival rates through faster clinical results.

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Area of Science:

  • Biomedical Engineering
  • Molecular Diagnostics
  • Oncology

Background:

  • Oral squamous cell carcinoma (OSCC) is a prevalent cancer requiring early detection for improved patient outcomes.
  • Current OSCC detection methods often necessitate centralized laboratory analysis, delaying diagnosis.
  • Point-of-care (POC) diagnostics are desirable for rapid, on-site testing and immediate results.

Purpose of the Study:

  • To develop and optimize a transistor-based modular biological sensor for detecting CIP2A protein.
  • To investigate optimal parameters for the sensing setup, including transistor gate voltage and load resistance.
  • To evaluate the sensitivity and applicability of the sensor for OSCC-related biomarker detection.

Main Methods:

  • A modular biological sensor utilizing transistor technology was employed.
  • The sensor was configured and optimized for detecting CIP2A protein.
  • Serial dilution techniques were used to determine the sensor's sensitivity with pure CIP2A protein and HeLa cell lysate.

Main Results:

  • Optimal transistor gate voltage and load resistance were identified for the sensing setup.
  • High sensitivity of 1 × 10-15 g/ml was achieved for CIP2A detection.
  • The sensor demonstrated effective detection using both pure protein and complex cell lysate samples under identical conditions.

Conclusions:

  • The developed transistor-based sensor provides a sensitive and rapid method for CIP2A detection.
  • This point-of-care technology has the potential to significantly accelerate clinical diagnosis of OSCC.
  • The time-saving and high-accuracy nature of this sensor offers a promising advancement in medical diagnostics.