Circulating microRNA breast cancer biomarker detection in patient sera with surface plasmon resonance imaging biosensor
Autor: | Patrick M. Y. Chan, Ann Siew Gek Lee, Ern Yu Tan, Malini Olivo, Hann Qian Lim, Ghayathri Balasundaram, Sau Yeen Loke, Bee Kiang Chong, Chi Lok Wong |
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Přispěvatelé: | Lee Kong Chian School of Medicine (LKCMedicine), Institute of Molecular and Cell Biology, A*STAR, Tan Tock Seng Hospital |
Rok vydání: | 2021 |
Předmět: |
Breast Cancer Biomarker
General Physics and Astronomy Breast Neoplasms Biosensing Techniques General Biochemistry Genetics and Molecular Biology Nuclear magnetic resonance Breast cancer Surface plasmon resonance imaging Circulating miRNA Biomarkers Tumor medicine Humans Medicine [Science] General Materials Science In patient Circulating MicroRNA Plasmon Chemistry General Engineering Resonance General Chemistry Surface Plasmon Resonance medicine.disease Biomarker (cell) Female Gold Biosensor |
Zdroj: | Journal of Biophotonics. 14 |
ISSN: | 1864-0648 1864-063X |
DOI: | 10.1002/jbio.202100153 |
Popis: | In this article, we report for the first time, the detection of circulating miRNA as a breast cancer biomarker in patient sera using surface plasmon resonance imaging biosensor. The advantage of this approach lies in the rapid, label-free and sensitive detection. The sensor excites plasmonic resonance on the gold sensor surface and specific DNA-miRNA molecular bindings elucidate responses in the plasmonic resonance image. Experiments of detecting synthetic miRNA molecules (miR-1249) were performed and the sensor resolution was found to be 63.5 nM. The sensor was further applied to screen 17 patient serum samples from National Cancer Centre Singapore and Tan Tock Seng Hospital. Sensor intensity response was found to differ by 20% between malignant and benign cases and thus forms, a potential and an important metric in distinguishing benignity and malignancy. Agency for Science, Technology and Research (A*STAR) This work was supported by Agency of Science, Technology and Research (A*STAR), under its Industry alignment fund prepositioning programme, Award H19H6a0025 , Agency for Science, Technology and Research’s (A*STAR) BMRC Central Research Fund (CRF, UIBR) Award and A*ccelerate under GAP funding (ETPL/14-R15GAP-0027). This project was partially funded by the NCC Research Fund. |
Databáze: | OpenAIRE |
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