Label-free detection of MiRNA biomarkers using broadband multi-resonant infrared metasurfaces for early breast cancer diagnosis
Breast cancer is the most prevalent cancer globally. Early detection is crucial and can be achieved by detecting cancer biomarkers in blood, such as circulating miRNAs (microRNAs). In this study, we present a label-free detection method based on broadband multi-resonant infrared metasurface for surf...
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sg-ntu-dr.10356-1745802024-04-07T15:41:23Z Label-free detection of MiRNA biomarkers using broadband multi-resonant infrared metasurfaces for early breast cancer diagnosis Zhang, Shuyan Wu, Steve Qing Yang Chen, Yi Fan Hum, Melissa Wong, Dave Chi Lok Tan, Ern Yu Lee, Ann Siew Gek Teng, Jinghua Dinish, Unnimadhavakurup S. Olivo, Malini Lee Kong Chian School of Medicine (LKCMedicine) Tan Tock Seng Hospital Medicine, Health and Life Sciences Breast cancer diagnosis Cancer biomarkers Breast cancer is the most prevalent cancer globally. Early detection is crucial and can be achieved by detecting cancer biomarkers in blood, such as circulating miRNAs (microRNAs). In this study, we present a label-free detection method based on broadband multi-resonant infrared metasurface for surface-enhanced infrared absorption (SEIRA) spectroscopy to detect miRNAs. The SEIRA resonances were optimized to match the miRNA biomarker fingerprint regions in the range of 800 to 2000 cm-1 and 2800 to 3500 cm-1, resulting in a simulated resonance enhancement of up to 103 times. Nine patient samples (six cancerous and three non-cancerous) were measured using SEIRA multi-well sensor chips. A novel analysis method, SEIRA-AR, was also developed to benchmark the results against industry standards, such as quantitative reverse transcription polymerase chain reaction (RT-qPCR) and next-generation sequencing (NGS). Our results showed an excellent linear correlation with a Pearson's r value of up to 0.99 and an R Squared value of up to 0.98. This study represents the first use of a SEIRA sensor for biomarker detection on clinical breast cancer samples and introduces an analysis method that produces results comparable to industry standards. Our findings pave the way for routine cancer diagnosis in the future. Additionally, the method discussed can be generalized to other biosensing activities involving two-step binding processes with complementary molecule-capturing agents. Agency for Science, Technology and Research (A*STAR) National Medical Research Council (NMRC) Published version Agency for Science, Technology and Research, Singapore: IAF-PP Grant H19H6a0025 and BMRC UIBR Grant; National Medical Research Council, Singapore: NMRC/CBRG/0087/2015. 2024-04-03T02:42:37Z 2024-04-03T02:42:37Z 2023 Journal Article Zhang, S., Wu, S. Q. Y., Chen, Y. F., Hum, M., Wong, D. C. L., Tan, E. Y., Lee, A. S. G., Teng, J., Dinish, U. S. & Olivo, M. (2023). Label-free detection of MiRNA biomarkers using broadband multi-resonant infrared metasurfaces for early breast cancer diagnosis. Nanoscale, 15(23), 10057-10066. https://dx.doi.org/10.1039/d3nr01369c 2040-3364 https://hdl.handle.net/10356/174580 10.1039/d3nr01369c 37249020 2-s2.0-85161685746 23 15 10057 10066 en H19H6a0025 BMRC UIBR NMRC/CBRG/0087/2015 Nanoscale © The Authors. This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. application/pdf |
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Medicine, Health and Life Sciences Breast cancer diagnosis Cancer biomarkers Zhang, Shuyan Wu, Steve Qing Yang Chen, Yi Fan Hum, Melissa Wong, Dave Chi Lok Tan, Ern Yu Lee, Ann Siew Gek Teng, Jinghua Dinish, Unnimadhavakurup S. Olivo, Malini Label-free detection of MiRNA biomarkers using broadband multi-resonant infrared metasurfaces for early breast cancer diagnosis |
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Breast cancer is the most prevalent cancer globally. Early detection is crucial and can be achieved by detecting cancer biomarkers in blood, such as circulating miRNAs (microRNAs). In this study, we present a label-free detection method based on broadband multi-resonant infrared metasurface for surface-enhanced infrared absorption (SEIRA) spectroscopy to detect miRNAs. The SEIRA resonances were optimized to match the miRNA biomarker fingerprint regions in the range of 800 to 2000 cm-1 and 2800 to 3500 cm-1, resulting in a simulated resonance enhancement of up to 103 times. Nine patient samples (six cancerous and three non-cancerous) were measured using SEIRA multi-well sensor chips. A novel analysis method, SEIRA-AR, was also developed to benchmark the results against industry standards, such as quantitative reverse transcription polymerase chain reaction (RT-qPCR) and next-generation sequencing (NGS). Our results showed an excellent linear correlation with a Pearson's r value of up to 0.99 and an R Squared value of up to 0.98. This study represents the first use of a SEIRA sensor for biomarker detection on clinical breast cancer samples and introduces an analysis method that produces results comparable to industry standards. Our findings pave the way for routine cancer diagnosis in the future. Additionally, the method discussed can be generalized to other biosensing activities involving two-step binding processes with complementary molecule-capturing agents. |
author2 |
Lee Kong Chian School of Medicine (LKCMedicine) |
author_facet |
Lee Kong Chian School of Medicine (LKCMedicine) Zhang, Shuyan Wu, Steve Qing Yang Chen, Yi Fan Hum, Melissa Wong, Dave Chi Lok Tan, Ern Yu Lee, Ann Siew Gek Teng, Jinghua Dinish, Unnimadhavakurup S. Olivo, Malini |
format |
Article |
author |
Zhang, Shuyan Wu, Steve Qing Yang Chen, Yi Fan Hum, Melissa Wong, Dave Chi Lok Tan, Ern Yu Lee, Ann Siew Gek Teng, Jinghua Dinish, Unnimadhavakurup S. Olivo, Malini |
author_sort |
Zhang, Shuyan |
title |
Label-free detection of MiRNA biomarkers using broadband multi-resonant infrared metasurfaces for early breast cancer diagnosis |
title_short |
Label-free detection of MiRNA biomarkers using broadband multi-resonant infrared metasurfaces for early breast cancer diagnosis |
title_full |
Label-free detection of MiRNA biomarkers using broadband multi-resonant infrared metasurfaces for early breast cancer diagnosis |
title_fullStr |
Label-free detection of MiRNA biomarkers using broadband multi-resonant infrared metasurfaces for early breast cancer diagnosis |
title_full_unstemmed |
Label-free detection of MiRNA biomarkers using broadband multi-resonant infrared metasurfaces for early breast cancer diagnosis |
title_sort |
label-free detection of mirna biomarkers using broadband multi-resonant infrared metasurfaces for early breast cancer diagnosis |
publishDate |
2024 |
url |
https://hdl.handle.net/10356/174580 |
_version_ |
1800916356574478336 |