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Updated: Sep 13, 2025

Evaluation of Colorectal Cancer Risk and Prevalence by Stool DNA Integrity Detection
Published on: June 8, 2020
Non-invasive breath testing to detect colorectal cancer: protocol for a multicentre, case-control development and
Michael G Fadel1, James Murray2, Georgia Woodfield1
1Department of Surgery and Cancer, Hammersmith Hospital Campus, Imperial College London, Du Cane Road, London, W12 0NN, UK.
A novel breath test shows promise for early colorectal cancer (CRC) detection. This non-invasive method could improve patient outcomes by enabling timely diagnosis and treatment.
Area of Science:
- Oncology
- Respiratory Medicine
- Analytical Chemistry
Background:
- Colorectal cancer (CRC) is a leading cause of cancer death in the UK, with survival rates dramatically lower for late-stage diagnosis.
- Non-specific symptoms of CRC often delay diagnosis, making early detection crucial.
- Breath analysis offers a potential non-invasive method for detecting CRC-specific volatile organic compounds (VOCs).
Purpose of the Study:
- To develop and validate a clinical prediction model (CPM) for colorectal cancer detection using a breath test.
- To explore the potential of combining breath analysis with faecal immunochemical testing (FIT) for improved diagnostic accuracy.
- To assess the clinical utility of decision rules derived from the CPM for patient triage.
Main Methods:
- A multicentre, case-control study (COBRA2) involving 720 participants (250 CRC, 470 controls).
- Breath samples collected from participants undergoing colonoscopy or with confirmed CRC, analyzed via gas chromatography-mass spectrometry.
- Statistical and machine learning methods used to develop the CPM, with validation in an independent cohort.
Main Results:
- Exploratory analysis of VOCs to identify CRC-specific markers.
- Development of a CPM based on breath test results.
- Assessment of whether incorporating FIT data enhances the CPM's diagnostic performance.
Conclusions:
- The non-invasive breath test has the potential for earlier and more accurate CRC detection.
- This approach may improve patient acceptability and facilitate timely secondary care referral.
- Successful validation could lead to improved curative treatment and survival rates for CRC patients.
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