ArticleFrontiers in surgery2022
Metabolomic profiling identifies biomarkers and metabolic impacts of surgery for colorectal cancer.
Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Prognostic value of perioperative changes in serum primary metabolites in patients after major surgery under general anesthesia: an exploratory secondary analysis of the TAPIR trial.Canadian journal of anaesthesia = Journal canadien d'anesthesie · 2025Trial
- Comment letter: reflections on "Perioperative metabolomic alterations predict postoperative complications and hospital stay in colorectal cancer patients".International journal of surgery (London, England) · 2026Article
- The gut microbiome in colorectal anastomotic leakage: from mechanisms to precision.Frontiers in medicine · 2026Review
- Gut microbiota and metabolite changes in metastatic colorectal cancerWorld journal of gastrointestinal oncology · 2025Article
- The Potential of Metabolomics in Colorectal Cancer Prognosis.Metabolites · 2024Review
- Identification of gastric cancer biomarkers throughBiochemistry and biophysics reports · 2024Article
- Circulating metabolites as potential biomarkers for the early detection and prognosis surveillance of gastrointestinal cancers.Metabolomics : Official journal of the Metabolomic Society · 2023Article
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Authors and funding
11 authors.
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Abstract
Background: Colorectal cancer (CRC) is one of the most common malignant tumors with recurrence and metastasis after surgical resection. This study aimed to identify the physiological changes after surgery and explore metabolites and metabolic pathways with potential prognostic value for CRC. Methods: An ultra-high-performance liquid chromatography Q-exactive mass spectrometry was used to profile serum metabolites from 67 CRC patients and 50 healthy volunteers. Principal component analysis (PCA) and orthogonal projections to latent structures-discriminant analysis were used to distinguish the internal characteristics of data in different groups. Multivariate statistics were compiled to screen the significant metabolites and metabolic pathways. Result: A total of 180 metabolites were detected. Under the conditions of variable importance in projection >1 and Conclusion: Through serum-based metabolomics, our study demonstrated the differential metabolic characteristics in CRC patients after surgery compared with those before surgery. Our results suggested that metabonomic analysis may be a powerful method for exploring physiological alterations in CRC patients after surgery as well as a useful tool for identifying candidate biomarkers and monitoring disease recurrence.
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