Related Experiment Video
Updated: May 26, 2026

Multi-Gene Single Nucleotide Polymorphism Detection in Gastric Cancer Based on Ion Semiconductor Sequencing Platform
Published on: May 10, 2024
Detecting a secreted gastric cancer biomarker molecule by targeted nanoparticles for real-time diagnostics
Elena Khazanov1, Eylon Yavin, Amit Pascal
1Faculty of Medicine, the School of Pharmacy Institute for Drug Research, The Hebrew University of Jerusalem, P.O.Box 12065, Jerusalem, 91120, Israel.
Purpose:
A real time detection of gastric cancer-associated biomarker molecules in the lumen of the stomach could assist in early detection of this multi-step malignancy.
Methods:
Employing α1-antitrypsin precursor (A1AT) as a secreted biomarker model, a platform with immunoassay capabilities, comprising sensing and detecting compartments was developed. It was made of a microarray-type functionalized glass, containing a high density of amine groups. Trypsin, the capturing moiety, was immobilized to the glass surface with the aid of a PEG-based spacer mixture, identified as being crucial for both capturing and detecting properties. The detecting compartment contained near infrared fluorescently labeled nanoparticles conjugated to A1AT-specific antibodies, aimed at generating an optical signal, detectable by a conventional endoscope or a video capsule.
Results:
The specific recognition reaction between the captured A1AT and the immuno-nanoparticles generated a profound fluorescence with a signal to noise ratio (SNR) of 12-32, in a biomarker-concentration dependent manner. Moreover, the optical recognition signal was intense enough to be detected by a video capsule simulator (with optical detection capabilities of a video capsule) with a SNR of 6-20.
Conclusions:
This platform could serve as a real time diagnostic kit for early detection of a secreted biomarker of gastric cancer.

