Evidence map›Paper›PMID 40491698›Full record

ArticlePractical laboratory medicine2025

Breath fingerprint of colorectal cancer patients by gas chromatography-mass spectrometry analysis preparatory to e-nose analyses.

Stefano Dugheri, Ilaria Rapi, Giovanni Cappelli, Niccolò Fanfani, Donato Squillaci, Simone De Sio, Beatrice Mallardi, Paola Mantellini, Fabio Staderini, Veronica Traversini and 3 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Stefano DugheriDepartment of Life Science, Health, and Health Professions Link Campus University, Rome, Italy.
Ilaria RapiDepartment of Experimental and Clinical Medicine, University of Florence, Florence, 50134, Italy.
Giovanni CappelliDepartment of Experimental and Clinical Medicine, University of Florence, Florence, 50134, Italy.
Niccolò FanfaniDepartment of Experimental and Clinical Medicine, University of Florence, Florence, 50134, Italy.
Donato SquillaciDepartment of Experimental and Clinical Medicine, University of Florence, Florence, 50134, Italy.
Simone De SioUniversity of Rome "La Sapienza", Rome, 00185, Italy.
Beatrice MallardiOncological Network, Prevention and Research Institute, Florence, 50139, Italy.
Paola MantelliniDepartment of Clinical Epidemiology, Cancer Prevention and Research Institute (ISPO), Florence, 50139, Italy.
Fabio StaderiniDepartment of Surgery and Translational Medicine, University of Florence, 50139, Italy.
Veronica TraversiniDepartment of Experimental and Clinical Medicine, University of Florence, Florence, 50134, Italy.
Antonio BaldassarreDepartment of Experimental and Clinical Medicine, University of Florence, Florence, 50134, Italy.
Fabio CianchiDepartment of Surgery and Translational Medicine, University of Florence, 50139, Italy.
Nicola MucciDepartment of Experimental and Clinical Medicine, University of Florence, Florence, 50134, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

CRCEarly diagnosisElectronic noseGC-MSScreening test

Identifiers

PMID40491698
PMCPMC12146548

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.