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Integration of cell phone imaging with microchip ELISA to detect ovarian cancer HE4 biomarker in urine at the point-of-care
Open accessAbstract
Ovarian cancer is asymptomatic in the early stages and most patients present with advanced levels of disease. The lack of cost-effective methods that can achieve frequent, simple and non-invasive testing hinders early detection and causes high mortality in ovarian cancer patients. Here, we report a simple and inexpensive microchip ELISA-based detection module that employs a portable detection system, i.e., a cell phone/charge-coupled device (CCD) to quantify an ovarian cancer biomarker, HE4, in urine. Integration of a mobile application with a cell phone enabled immediate processing of microchip ELISA results, which eliminated the need for a bulky, expensive spectrophotometer. The HE4 level detected by a cell phone or a lensless CCD system was significantly elevated in urine samples from cancer patients (n = 19) than healthy controls (n = 20) (p < 0.001). Receiver operating characteristic (ROC) analyses showed that the microchip ELISA coupled with a cell phone running an automated analysis mobile application had a sensitivity of 89.5% at a specificity of 90%. Under the same specificity, the microchip ELISA coupled with a CCD had a sensitivity of 84.2%. In conclusion, integration of microchip ELISA with cell phone/CCD-based colorimetric measurement technology can be used to detect HE4 biomarker at the point-of-care (POC), paving the way to create bedside technologies for diagnostics and treatment monitoring.
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Cited by
Lopez-Ruiz, N., Curto, V. F., Erenas, M. M., Benito-Lopez, F., Diamond, D., Palma, A. J., & Capitan-Vallvey, L. F. (2014) · Analytical Chemistry · doi:10.1021/ac5019205 · Cited by 423
A smartphone algorithm with inter-phone repeatability for the analysis of colorimetric tests
Yetisen, A. K., Martinez-Hurtado, J. L., Garcia-Melendrez, A., da Cruz Vasconcellos, F., & Lowe, C. R. (2014) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2014.01.077 · Cited by 285
Liang, L.-G., Kong, M.-Q., Zhou, S., Sheng, Y.-F., Wang, P., Yu, T., Inci, F., Kuo, W. P., Li, L.-J., Demirci, U., et al. (2017) · Scientific Reports · doi:10.1038/srep46224 · Cited by 282
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Metadata
- Authors
- Wang, S., Zhao, X., Khimji, I., Akbas, R., Qiu, W., Edwards, D., Cramer, D. W., Ye, B., & Demirci, U.
- Venue
- Lab on a Chip
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2011
- Volume
- 11
- Issue
- 20
- Pages
- 3411
- ISSN
- 1473-0189 (ISSN-L)
- 1473-0197
- OpenAlex
- W2115585598
- Cited by
- 254
- References
- 0
- FWCI
- 11.12
- Type
- journal article
- Language
- en
- Open access
- green
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- Wang, S., Zhao, X., Khimji, I., Akbas, R., Qiu, W., Edwards, D., Cramer, D. W., Ye, B., & Demirci, U. (2011). Integration of cell phone imaging with microchip ELISA to detect ovarian cancer HE4 biomarker in urine at the point-of-care. Lab on a Chip. https://doi.org/10.1039/c1lc20479c
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