3.8 Article

A Novel Electrochemical Microfluidic Chip Combined with Multiple Biomarkers for Early Diagnosis of Gastric Cancer

期刊

NANOSCALE RESEARCH LETTERS
卷 10, 期 -, 页码 -

出版社

SPRINGEROPEN
DOI: 10.1186/s11671-015-1153-3

关键词

Electrochemical; Microfluidic chip; Multiple biomarkers; Early diagnosis; Gastric cancer

资金

  1. Chinese 973 Project [2010CB933902]
  2. National Natural Science Foundation of China [81225010, 20803040, 81028009, 31170961]
  3. 863 Project of China [2012AA022703]
  4. Shanghai Science and Technology Fund [13NM1401500, 15441904800]

向作者/读者索取更多资源

Early diagnosis is very important to improve the survival rate of patients with gastric cancer and to understand the biology of cancer. In order to meet the clinical demands for early diagnosis of gastric cancer, we developed a disposable easy-to-use electrochemical microfluidic chip combined with multiple antibodies against six kinds of biomarkers (carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (CA19-9), Helicobacter pylori CagA protein (H.P.), P53oncoprotein (P53), pepsinogen I (PG I), and PG-II). The six kinds of biomarkers related to gastric cancer can be detected sensitively and synchronously in a short time. The specially designed three electrodes system enables cross-contamination to be avoided effectively. The linear ranges of detection of the electrochemical microfluidic chip were as follows: 0.37-90 ng mL(-1) for CEA, 10.75-172 U mL(-1) for CA19-9, 10-160 U L-1 for H.P., 35-560 ng mL(-1) for P53, 37.5-600 ng mL(-1) for PG I, and 2.5-80 ng mL(-1) for PG II. This method owns better sensitivity compared with enzyme-linked immunosorbent assay (ELISA) results of 394 specimens of gastric cancer sera. Furthermore, we established a multi-index prediction model based on the six kinds of biomarkers for predicting risk of gastric cancer. In conclusion, the electrochemical microfluidic chip for detecting multiple biomarkers has great potential in applications such as early screening of gastric cancer patients, and therapeutic evaluation, and real-time dynamic monitoring the progress of gastric cancer in near future.

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