ArticleScientific reports2016
Tissue Metabonomic Phenotyping for Diagnosis and Prognosis of Human Colorectal Cancer.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed, 64 citations in OpenAlex.
- Review
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- Use of Nuclear Magnetic Resonance (NMR) to Study Cancer Metabolism.Advances in experimental medicine and biology · 2026Review
- NMR-based metabolomics combined with metabolic pathway analysis reveals metabolic heterogeneity of colorectal cancer tissue at different anatomical locations and stages.International journal of cancer · 2025Article
- Linking Metastatic Behavior and Metabolic Heterogeneity of Circulating Tumor Cells at Single-Cell Level Using an Integrative Microfluidic System.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Bacterial profiling of colorectal cancer biopsies: a culture-based study in Indian patients.Frontiers in cellular and infection microbiology · 2025Article
- The Potential of Metabolomics in Colorectal Cancer Prognosis.Metabolites · 2024Review
- Hypoxia-induced cysteine metabolism reprogramming is crucial for the tumorigenesis of colorectal cancer.Redox biology · 2024Article
- Biliary atresia and cholestasis plasma non-targeted metabolomics unravels perturbed metabolic pathways and unveils a diagnostic model for biliary atresia.Scientific reports · 2024Article
- Metabolic Rewiring in Cancer: Small Molecule Inhibitors in Colorectal Cancer Therapy.Molecules (Basel, Switzerland) · 2024Review
- Colonic mucosal biopsy location can not affect the results of mucosal metabolomics and mucosal microbiota analysis in IBS.Frontiers in medicine · 2023Article
- Microbiome and metabolic features of tissues and feces reveal diagnostic biomarkers for colorectal cancer.Frontiers in microbiology · 2023Article
- Article
- Dietary Energy Intake and Presence of Aberrant Crypt Foci Are Associated with Phospholipid, Purine, and Taurine Metabolite Abundances in C57BL/6N Mouse Colon.Molecular nutrition & food research · 2022Article
- The value of tumor deposits in evaluating colorectal cancer survival and metastasis: a population-based retrospective cohort study.World journal of surgical oncology · 2022Article
- Metabolic Reprogramming of Colorectal Cancer Cells and the Microenvironment: Implication for Therapy.International journal of molecular sciences · 2021Review
- Precision Oncology via NMR-Based Metabolomics: A Review on Breast Cancer.International journal of molecular sciences · 2021Review
- Prognostic value of LINC02560 in colorectal cancer correlates with tumor microenvironment immunity.Journal of Cancer · 2021Article
- Metabolomic characterization of colorectal cancer cell lines highlighting stage-specific alterations during cancer progression.BioImpacts : BI · 2021Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer (CRC) is one of the leading causes of cancer-related death worldwide and prognosis based on the conventional histological grading method for CRC remains poor. To better the situation, we analyzed the metabonomic signatures of 50 human CRC tissues and their adjacent non-involved tissues (ANIT) using high-resolution magic-angle spinning (HRMAS) (1)H NMR spectroscopy together with the fatty acid compositions of these tissues using GC-FID/MS. We showed that tissue metabolic phenotypes not only discriminated CRC tissues from ANIT, but also distinguished low-grade tumor tissues (stages I-II) from the high-grade ones (stages III-IV) with high sensitivity and specificity in both cases. Metabonomic phenotypes of CRC tissues differed significantly from that of ANIT in energy metabolism, membrane biosynthesis and degradations, osmotic regulations together with the metabolism of proteins and nucleotides. Amongst all CRC tissues, the stage I tumors exhibited largest differentiations from ANIT. The combination of the differentiating metabolites showed outstanding collective power for differentiating cancer from ANIT and for distinguishing CRC tissues at different stages. These findings revealed details in the typical metabonomic phenotypes associated with CRC tissues nondestructively and demonstrated tissue metabonomic phenotyping as an important molecular pathology tool for diagnosis and prognosis of cancerous solid tumors.
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