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

Annese, VF, Patil, SB, Hu, C, Giagkoulovits, C, Al-Rawhani, MA, Grant, J, Macleod, M, Clayton, DJ ORCID: https://orcid.org/0000-0001-5481-0891, Heaney, LM, Daly, R, Accarino, C, Shah, YD, Cheah, BC, Beeley, J, Evans, TRJ, Jones, R, Barrett, MP and Cumming, DRS, 2021. A monolithic single-chip point-of-care platform for metabolomic prostate cancer detection. Microsystems and Nanoengineering, 7: 21. ISSN 2096-1030

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Abstract

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.

Item Type:	Journal article
Publication Title:	Microsystems and Nanoengineering
Creators:	Annese, V.F., Patil, S.B., Hu, C., Giagkoulovits, C., Al-Rawhani, M.A., Grant, J., Macleod, M., Clayton, D.J., Heaney, L.M., Daly, R., Accarino, C., Shah, Y.D., Cheah, B.C., Beeley, J., Evans, T.R.J., Jones, R., Barrett, M.P. and Cumming, D.R.S.
Publisher:	Springer Science and Business Media LLC
Date:	5 March 2021
Volume:	7
ISSN:	2096-1030
Identifiers:	Number Type 10.1038/s41378-021-00243-4 DOI 1427668 Other
Rights:	© The Author(s) 2021 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Divisions:	Schools > School of Science and Technology
Record created by:	Jeremy Silvester
Date Added:	25 Mar 2021 14:43
Last Modified:	31 May 2021 15:05
URI:	https://irep.ntu.ac.uk/id/eprint/42591

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