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A monolithic single-chip point-of-care platform for metabolomic prostate cancer detection

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posted on 2021-03-08, 11:29 authored by Valerio Annese, Samadhan Patil, Chunxiao Hu, Christos Giagkoulovits, Mohammed Al-Rawhani, James Grant, Martin Macleod, David Clayton, Liam HeaneyLiam Heaney, Ronan Daly, Claudio Accarino, Yash Shah, Boon Cheah, James Beeley, Thomas Jeffry Evans, Robert Jones, Michael Barrett, David Cumming
There is a global unmet need for rapid and cost-effective prognostic and diagnostic tools that can be used at the bedside or in the doctor’s office to reduce the impact of serious disease. Many cancers are diagnosed late, leading to costly treatment and reduced life expectancy. With prostate cancer, the absence of a reliable test has inhibited the adoption of screening programs. We report a microelectronic point-of-care metabolite biomarker measurement platform and use it for prostate cancer detection. The platform, using an array of photodetectors configured to operate with targeted, multiplexed, colorimetric assays confined in monolithically integrated passive microfluidic channels, completes a combined assay of 4 metabolites in a drop of human plasma in under 2 min. A preliminary clinical study using L-amino acids, glutamate, choline, and sarcosine was used to train a cross-validated random forest algorithm. The system demonstrated sensitivity to prostate cancer of 94% with a specificity of 70% and an area under the curve of 0.78. The technology can implement many similar assay panels and hence has the potential to revolutionize low-cost, rapid, point-of-care testing.

Funding

The Multicorder

Engineering and Physical Sciences Research Council

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Programmable 'Digital' Synthesis for Discovery & Scale-up of Molecules, Clusters & Nanomaterials

Engineering and Physical Sciences Research Council

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History

School

  • Sport, Exercise and Health Sciences

Published in

Microsystems & Nanoengineering

Volume

7

Publisher

Springer Nature

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by Springer Nature under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

2020-12-15

Publication date

2021-03-05

Copyright date

2021

ISSN

2096-1030

eISSN

2055-7434

Language

  • en

Depositor

Dr Liam Heaney. Deposit date: 5 March 2021

Article number

21

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