ArticlePractical laboratory medicine2025
Breath fingerprint of colorectal cancer patients by gas chromatography-mass spectrometry analysis preparatory to e-nose analyses.
Article in Practical laboratory medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Portable Electronic Olfactometer for Non-Invasive Screening of Canine Ehrlichiosis: A Proof-of-Concept Study Using Machine Learning.Veterinary sciences · 2026Article
- The exhaled breath pattern as a potential method for biometrics identification.Scientific reports · 2025Article
- Colorectal Cancer Detection Through Sweat Volatilome Using an Electronic Nose System and GC-MS Analysis.Cancers · 2025Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer (CRC), according to the most recent data provided by GLOBOCAN, ranks fourth worldwide in incidence and third in mortality among all cancers. Current estimates project a global increase in colorectal cancer incidence of 60.5 % and mortality of 76.9 % between 2022 and 2045. The low sensitivity and adherence, coupled with the high costs associated with current diagnostic methods for CRC, underscore the need to explore innovative procedures for the early detection of tissue abnormalities. Existing research suggests that patients affected by this condition exhibit distinctive alterations in volatile organic compounds (VOCs) ratios in their exhaled breath. This study presents a characterization of exhaled breath using Gas Chromatography-Mass Spectrometry (GC-MS) in patients with varying stages of the disease, as determined by conventional medical and clinical analyses. An electronic nose was utilized to develop a method aimed at rapidly analyzing a subject's exhaled breath to identify the group of belonging (healthy, affected). The aim of the study was to develop a rapid, cost-effective, and non-invasive early diagnostic system employing an electronic nose. Statistical analysis identified 12 compounds with the potential to distinguish between healthy and affected individuals and were selected for testing the application potential of the Cyranose 320 electronic nose. The ability of the method to identify the 40 subjects analyzed as Healthy Controls (HC) or CRC in terms of sensitivity and specificity (0.8 and 0.85, respectively) demonstrates the feasibility of using this method for rapid, low-cost, and non-invasive disease recognition.
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