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Author Spotlight: Engineering Molecular Tools for Disease Detection and Imaging
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A monolithic single-chip point-of-care platform for metabolomic prostate cancer detection
Valerio F Annese1, Samadhan B Patil1, Chunxiao Hu1
1Electronics and Nanoscale Engineering, James Watt School of Engineering, University of Glasgow, Glasgow, G12 8QQ UK.
Microsystems & Nanoengineering
|September 27, 2021
Summary
A new microelectronic platform rapidly detects prostate cancer using metabolite biomarkers in plasma. This point-of-care tool shows high sensitivity, offering a potential breakthrough for early disease diagnosis and screening.
Area of Science:
- Biomedical Engineering
- Clinical Diagnostics
- Analytical Chemistry
Background:
- Global need for rapid, cost-effective diagnostic tools at the point-of-care.
- Late cancer diagnosis leads to increased treatment costs and reduced life expectancy.
- Prostate cancer screening is limited by the lack of a reliable, accessible test.
Purpose of the Study:
- To develop and validate a microelectronic platform for point-of-care metabolite biomarker measurement.
- To utilize the platform for the detection of prostate cancer.
- To assess the platform's performance in a preliminary clinical study.
Main Methods:
- Development of a microelectronic platform with photodetectors and microfluidic channels.
- Multiplexed colorimetric assays for 4 plasma metabolites (l-amino acids, glutamate, choline, sarcosine).
- Application of a cross-validated random forest algorithm to analyze metabolite data.
Main Results:
- The platform completed a 4-metabolite assay in under 2 minutes from a single drop of plasma.
- Demonstrated 94% sensitivity and 70% specificity for prostate cancer detection.
- Achieved an area under the curve (AUC) of 0.78 in a preliminary clinical study.
Conclusions:
- The developed microelectronic platform enables rapid, low-cost point-of-care testing.
- This technology has the potential to significantly improve early disease diagnosis, starting with prostate cancer.
- The platform's adaptability for various assay panels suggests a revolutionary impact on diagnostic testing.
Keywords:
Electrical and electronic engineeringNanoscience and technologyOptical materials and structuresOptical sensors
