ArticleMetabolites2021
Untargeted Metabolomics Reveals Major Differences in the Plasma Metabolome between Colorectal Cancer and Colorectal Adenomas.
Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02328677 (ColoCare Transdisciplinary Research in Colorectal Cancer Prognosis), which is not on this 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.
ColoCare Transdisciplinary Research in Colorectal Cancer Prognosis
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Systematic Review and Meta-Analysis: Taurine and Its Association With Colorectal Carcinoma.Cancer medicine · 2024Pooled it
- Serum metabolic characteristics associated with the deterioration of colorectal adenomas.Scientific reports · 2025Article
- Untargeted metabolomics for acute intra-abdominal infection diagnosis in serum and urine using UHPLC-TripleTOF MS.Frontiers in molecular biosciences · 2025Article
- Plasma metabolomic differences in early-onset compared to average-onset colorectal cancer.Scientific reports · 2024Article
- Metabolomic Signatures of Exposure to Nitrate and Trihalomethanes in Drinking Water and Colorectal Cancer Risk in a Spanish Multicentric Study (MCC-Spain).Environmental science & technology · 2023Article
- Metabolomics analysis of amino acid and fatty acids in colorectal cancer patients based on tandem mass spectrometry.Journal of clinical biochemistry and nutrition · 2023Article
- Phenotypically driven subgroups of ASD display distinct metabolomic profiles.Brain, behavior, and immunity · 2023Article
- Article
- A Brief History of Microbial Study and Techniques for Exploring the Gastrointestinal Microbiome.Clinics in colon and rectal surgery · 2023Review
- Short-term dietary choline supplementation alters the gut microbiota and liver metabolism of finishing pigs.Frontiers in microbiology · 2023Article
- Pan-cancer analysis of pre-diagnostic blood metabolite concentrations in the European Prospective Investigation into Cancer and Nutrition.BMC medicine · 2022Article
- AI/ML-driven advances in untargeted metabolomics and exposomics for biomedical applications.Cell reports. Physical science · 2022Article
- Serum untargeted lipidomics by UHPLC-ESI-HRMS aids the biomarker discovery of colorectal adenoma.BMC cancer · 2022Article
- The Application of Metabolomics in Recent Colorectal Cancer Studies: A State-of-the-Art Review.Cancers · 2022Review
- UHPLC-HRMS-based serum lipisdomics reveals novel biomarkers to assist in the discrimination between colorectal adenoma and cancer.Frontiers in oncology · 2022Article
- Study on potential markers for diagnosis of renal cell carcinoma by serum untargeted metabolomics based on UPLC-MS/MS.Frontiers in physiology · 2022Article
- The Role of Liquid Biopsy Analytes in Diagnosis, Treatment and Prognosis of Colorectal Cancer.Frontiers in endocrinology · 2022Review
- Exopolysaccharide Produced byFoods (Basel, Switzerland) · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 8 institutions in 6 countries.
Funding
Abstract
Sporadic colorectal cancer is characterized by a multistep progression from normal epithelium to precancerous low-risk and high-risk adenomas to invasive cancer. Yet, the underlying molecular mechanisms of colorectal carcinogenesis are not completely understood. Within the "Metabolomic profiles throughout the continuum of colorectal cancer" (MetaboCCC) consortium we analyzed data generated by untargeted, mass spectrometry-based metabolomics using plasma from 88 colorectal cancer patients, 200 patients with high-risk adenomas and 200 patients with low-risk adenomas recruited within the "Colorectal Cancer Study of Austria" (CORSA). Univariate logistic regression models comparing colorectal cancer to adenomas resulted in 442 statistically significant molecular features. Metabolites discriminating colorectal cancer patients from those with adenomas in our dataset included acylcarnitines, caffeine, amino acids, glycerophospholipids, fatty acids, bilirubin, bile acids and bacterial metabolites of tryptophan. The data obtained discovers metabolite profiles reflecting metabolic differences between colorectal cancer and colorectal adenomas and delineates a potentially underlying biological interpretation.
Indexed as
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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.