Wang ShuQi, Akbas Ragip, Demirci Utkan
Demirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Early Cancer Detection, School of Medicine, Stanford University, 3155 Porter Drive, Palo Alto, CA, 94304, USA.
Methods Mol Biol. 2015;1256:111-21. doi: 10.1007/978-1-4939-2172-0_8.
Ovarian cancer is a leading cause of death from gynecologic cancers in the USA, and early diagnosis can potentially increase 5-year survival rate. Detection of biomarkers derived from hyperplasia of epithelial tissue by enzyme-linked immunosorbent assay (ELISA) proves to be a practical way of early diagnosis of ovarian cancer. However, ELISA is commonly performed in a laboratory setting, and it cannot be used in a clinical setting for on-site consultation. We have shown a microchip ELISA that detects HE4, an ovarian cancer biomarker, from urine using a cell phone integrated with a mobile application for imaging and data analysis. In microchip ELISA, HE4 from urine was first absorbed on the surface; the primary and secondary antibodies were subsequently anchored on the surface via immuno-reaction; and addition of substrate led to color development because of enzymatic labeling. The microchip after color development was imaged using a cell phone, and the color intensity was analyzed by an integrated mobile application. By comparing with an ELISA standard curve, the concentration of HE4 was reported on the cell phone screen. The presented microchip ELISA coupled with a cell phone is portable as opposed to traditional ELISA, and this method can facilitate the detection of ovarian cancer at the point-of-care (POC).
卵巢癌是美国妇科癌症死亡的主要原因之一，早期诊断有可能提高5年生存率。通过酶联免疫吸附测定（ELISA）检测源自上皮组织增生的生物标志物被证明是早期诊断卵巢癌的一种实用方法。然而，ELISA通常在实验室环境中进行，不能用于临床现场咨询。我们展示了一种微芯片ELISA，它使用集成了用于成像和数据分析的移动应用程序的手机，从尿液中检测卵巢癌生物标志物HE4。在微芯片ELISA中，尿液中的HE4首先被吸附在表面；随后，一抗和二抗通过免疫反应锚定在表面；添加底物由于酶标记导致显色。显色后的微芯片用手机成像，颜色强度通过集成的移动应用程序进行分析。通过与ELISA标准曲线比较，HE4的浓度显示在手机屏幕上。与传统ELISA相比，所展示的与手机结合的微芯片ELISA便于携带，这种方法可以促进在护理点（POC）检测卵巢癌。
