期刊
LAB ON A CHIP
卷 11, 期 20, 页码 3411-3418出版社
ROYAL SOC CHEMISTRY
DOI: 10.1039/c1lc20479c
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资金
- W.H. Coulter Foundation [RO1 A1081534, R21 AI087107]
- Center for Integration of Medicine and Innovative Technology (CIMIT) under U.S. Army Medical Research Acquisition Activity [DAMD17-02-2-0006, W81XWH-07-2-0011, W81XWH-09-2-0001]
- U.S. Army Medical Research & Materiel Command (USAMRMC)
- Telemedicine & Advanced Technology Research Center (TATRC), at Fort Detrick, MD
- NIH [U01 HL065899-08]
- NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [U01HL065899] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES [R01AI081534, R21AI087107] Funding Source: NIH RePORTER
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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