SynthesisJournal of cancer research and clinical oncology2019
Fecal volatile organic compounds for early detection of colorectal cancer: where are we now?
Synthesis in Journal of cancer research and clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 39 citations in OpenAlex.
- Exploring Components, Sensors, and Techniques for Cancer Detection via eNose Technology: A Systematic Review.Sensors (Basel, Switzerland) · 2024Pooled it
- The Influence of Mechanical Bowel Preparation on Volatile Organic Compounds for the Detection of Gastrointestinal Disease-A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Systematic review: non-endoscopic surveillance for colorectal neoplasia in individuals with Lynch syndrome.Alimentary pharmacology & therapeutics · 2022Pooled it
- Volatile Organic Metabolites as Potential Biomarkers for Genitourinary Cancers: Review of the Applications and Detection Methods.Metabolites · 2025Review
- Identifying novel biomarkers for biliary tract cancer based on volatile organic compounds analysis and machine learning.Frontiers in oncology · 2025Article
- Faecal Volatile Organic Compounds to Detect Colorectal Neoplasia in Lynch Syndrome-A Prospective Longitudinal Multicentre Study.Alimentary pharmacology & therapeutics · 2025Article
- Wake up and smell the coffee: The potential of faecal volatile organic compounds in paediatric inflammatory bowel disease.United European gastroenterology journal · 2024Article
- Electronic Tongues and Noses: A General Overview.Biosensors · 2024Review
- Identification of urinary volatile organic compounds as a potential non-invasive biomarker for esophageal cancer.Scientific reports · 2023Article
- Dual Effect of Tryptamine on Prostate Cancer Cell Growth Regulation: A Pilot Study.International journal of molecular sciences · 2022Article
- Review
- Novel Diagnostic Biomarkers in Colorectal Cancer.International journal of molecular sciences · 2022Review
- Future of Colorectal Cancer Screening: From One-Size-FITs-All to Tailor-Made.Frontiers in gastroenterology (Lausanne, Switzerland) · 2022Review
- Bile-volatile organic compounds in the diagnostics of pancreatic cancer and biliary obstruction: A prospective proof-of-concept study.Frontiers in oncology · 2022Article
- Recent advancements in the exploitation of the gut microbiome in the diagnosis and treatment of colorectal cancer.Bioscience reports · 2021Review
- Optimized sample preparation for fecal volatile organic compound analysis by gas chromatography-mass spectrometry.Metabolomics : Official journal of the Metabolomic Society · 2020Article
- Biomarkers for detecting colorectal cancer non-invasively: DNA, RNA or proteins?World journal of gastrointestinal oncology · 2020Review
- Simultaneous Assessment of Urinary and Fecal Volatile Organic Compound Analysis in De Novo Pediatric IBD.Sensors (Basel, Switzerland) · 2019Article
- Review and Comparison of Cancer Biomarker Trends in Urine as a Basis for New Diagnostic Pathways.Cancers · 2019Review
- Faecal Scent as a Novel Non-Invasive Biomarker to Discriminate between Coeliac Disease and Refractory Coeliac Disease: A Proof of Principle Study.Biosensors · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe fecal volatolome, which is composed of fecal volatile organic compounds (VOCs), seems to hold potential as non-invasive biomarker for the detection of colorectal cancer (CRC) and its precursor lesions advanced adenomas (AA). The potential of the fecal volatolome has been subject of various studies using either chemical analytical or pattern-recognition techniques. The available literature on the potential of the fecal volatolome as CRC and AA biomarker was reviewed.
methodsA systematic literature search was conducted in PubMed, Embase, the Cochrane Library, Google Scholar and ResearchGate using the following keywords: Colorectal Cancer, Advanced Adenoma, Volatile Organic Compound, Metabolome, Gas Chromatrography-Mass Spectrometry, Selected-Ion Flow-Tube Mass Spectrometry, eNose, and Fecal Biomarkers.
resultsEighty-eight titles or abstracts were identified from the search, of which 11 papers describing the potential of the fecal volatolome for CRC detection were selected. In these studies, different techniques were used for the headspace analyses of fecal VOCs, limiting the possibility to compare outcomes. Increased levels of amino acids and short chain fatty acids, and decreased levels of bile acids and polyol alcohols in the gas phase of feces were observed repeatedly. All selected papers reported high diagnostic value for the detection of both CRC and AA based on fecal VOCs.
conclusionBased on the included studies, fecal VOC analyses seem promising for future screening of CRC and AA, with potentially improved test performances allowing for earlier detection of AA and CRC and consequently earlier initiation of treatment, possibly reducing morbidity and mortality rates next to lower rates of (unnecessary) colonoscopies.
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Registered trials
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.