ArticleMetabolites2022
A Comprehensive Metabolomics Analysis of Fecal Samples from Advanced Adenoma and Colorectal Cancer Patients.
Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis 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
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Colorectal neoplasia-specific amino acid profiles and their diagnostic potential: a systematic review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Pooled it
- Lipidomic perspectives on the role of lactosylceramides in inflammation and disease: A narrative review.Expert reviews in molecular medicine · 2026Review
- Article
- Parabens and estrogen-mediated cancers: unraveling coincidence, co-occurrence, and causality.npj women's health · 2026Review
- State of omics-based microbial diagnostics of CRC.Gut microbes · 2025Review
- Mendelian randomization analysis of the causal association between metabolites and skin cancer.Dermatology reports · 2025Article
- Faecal Metabolome Profiles in Individuals Diagnosed with Hyperplastic Polyps and Conventional Adenomas.International journal of molecular sciences · 2024Article
- Serum Metabolomic Markers of Artificially Sweetened Beverage Consumption.The Journal of nutrition · 2024Article
- Potential of pre-diagnostic metabolomics for colorectal cancer risk assessment or early detection.NPJ precision oncology · 2024Article
- Interferon-induced transmembrane protein 2 is a prognostic marker in colorectal cancer and promotes its progression by activating the PI3K/AKT pathway.Discover oncology · 2024Article
- Identification of KRAS mutation-associated gut microbiota in colorectal cancer and construction of predictive machine learning model.Microbiology spectrum · 2024Article
- From multi-omics to predictive biomarker: AI in tumor microenvironment.Frontiers in immunology · 2024Review
- Machine learning-based identification of colorectal advanced adenoma using clinical and laboratory data: a phase I exploratory study in accordance with updated World Endoscopy Organization guidelines for noninvasive colorectal cancer screening tests.Frontiers in oncology · 2024Article
- Topic modeling for multi-omic integration in the human gut microbiome and implications for Autism.Scientific reports · 2023Article
- Review
- Sex Differences in Fatty Acid Metabolism and Blood Pressure Response to Dietary Salt in Humans.Cardiogenetics · 2023Article
- Case Report: The impact of severe cryptosporidiosis on the gut microbiota of a pediatric patient with CD40L immunodeficiency.Frontiers in cellular and infection microbiology · 2023Article
- Microbiome and Colorectal Cancer Management.Cureus · 2022Review
- Chromatographic-Based Platforms as New Avenues for Scientific Progress and Sustainability.Molecules (Basel, Switzerland) · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 6 institutions in 1 country.
Funding
Abstract
Accurate diagnosis of colorectal cancer (CRC) still relies on invasive colonoscopy. Noninvasive methods are less sensitive in detecting the disease, particularly in the early stage. In the current work, a metabolomics analysis of fecal samples was carried out by ultra-high-performance liquid chromatography-tandem mass spectroscopy (UPLC-MS/MS). A total of 1380 metabolites were analyzed in a cohort of 120 fecal samples from patients with normal colonoscopy, advanced adenoma (AA) and CRC. Multivariate analysis revealed that metabolic profiles of CRC and AA patients were similar and could be clearly separated from control individuals. Among the 25 significant metabolites, sphingomyelins (SM), lactosylceramides (LacCer), secondary bile acids, polypeptides, formiminoglutamate, heme and cytidine-containing pyrimidines were found to be dysregulated in CRC patients. Supervised random forest (RF) and logistic regression algorithms were employed to build a CRC accurate predicted model consisting of the combination of hemoglobin (Hgb) and bilirubin E,E, lactosyl-N-palmitoyl-sphingosine, glycocholenate sulfate and STLVT with an accuracy, sensitivity and specificity of 91.67% (95% Confidence Interval (CI) 0.7753-0.9825), 0.7 and 1, respectively.
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What OpenQuestion holds
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.