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Serum Laboratory Studies, Stool Test, Breath Test

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Updated: Apr 25, 2026

Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing

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Published on: September 25, 2011

Insect Olfactory Receptor-Expressing Sensor Cells for Colorectal Cancer Diagnosis Using Urine Samples.

Koji Ando¹, Hiro Hasegawa², Sotaro Takiguchi³

¹Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

Cancer Medicine

|April 24, 2026

Summary

This summary is machine-generated.

This study introduces a novel biosensor using insect olfactory receptors (ORs) to detect volatile organic compounds (VOCs) in urine for colorectal cancer (CRC) diagnosis. The developed diagnostic model achieved 80% sensitivity, offering a promising noninvasive approach.

Keywords:

colorectal cancer liquid biopsy olfactory receptors urine volatile organic compounds

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Nanosensors to Detect Protease Activity In Vivo for Noninvasive Diagnostics

Nanosensors to Detect Protease Activity In Vivo for Noninvasive Diagnostics

Published on: July 16, 2018

Area of Science:

Biotechnology
Oncology
Biosensor Technology

Background:

Colorectal cancer (CRC) is a major global health concern with current detection methods facing limitations in invasiveness and sensitivity.
There is a critical need for noninvasive and highly sensitive diagnostic tools for early CRC detection.

Purpose of the Study:

To develop and validate a novel diagnostic approach for colorectal cancer (CRC) using insect-derived olfactory receptors (ORs) as biosensors.
To assess the efficacy of OR-based biosensors in detecting volatile organic compounds (VOCs) in urine for CRC diagnosis.

Main Methods:

Screening of 483 olfactory receptors (ORs) using urine samples from 75 CRC patients and 75 non-cancer controls.
Detection of sensor cell response to urinary VOCs via time-series luminescence emission.
Application of machine learning algorithms to analyze luminescence data and develop a diagnostic model.

Main Results:

Identification of CRC-discriminative ORs capable of distinguishing between CRC patients and healthy individuals based on urinary VOC profiles.
Development of a diagnostic model with 80% sensitivity and an ROC-AUC of 0.84.
Demonstration of luminescence signal generation correlating with the presence of CRC.

Conclusions:

Olfactory receptor-based biosensors show significant potential as noninvasive tools for colorectal cancer diagnosis.
The developed biosensor system offers a sensitive and specific method for detecting cancer-specific volatile organic compounds in urine.
This approach represents a promising advancement in liquid biopsy techniques for early cancer detection.