ArticleFrontiers in oncology2021
Untargeted GC-MS-Based Metabolomics for Early Detection of Colorectal Cancer.
Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 27 citations in OpenAlex.
- Article
- Plasma metabolites, metabolic risk score and colorectal cancer risk: a prospective cohort study.European journal of epidemiology · 2025Article
- Untargeted metabolomic profiling of small extracellular vesicles reveals potential new biomarkers for triple negative breast cancer.Metabolomics : Official journal of the Metabolomic Society · 2024Article
- Multi-omics machine learning to study host-microbiome interactions in early-onset colorectal cancer.NPJ precision oncology · 2024Article
- Serum Metabolomics Uncovers the Mechanisms of Inulin in Preventing Non-Alcoholic Fatty Liver Disease.Pharmaceuticals (Basel, Switzerland) · 2024Article
- Plasma metabolomic differences in early-onset compared to average-onset colorectal cancer.Scientific reports · 2024Article
- Identification of Volatile Markers of Colorectal Cancer from Tumor Tissues Using Volatilomic Approach.Molecules (Basel, Switzerland) · 2023Article
- Determination of the Minimum Sample Amount for Capillary Electrophoresis-Fourier Transform Mass Spectrometry (CE-FTMS)-Based Metabolomics of Colorectal Cancer Biopsies.Biomedicines · 2023Article
- [Integrated analysis of serum untargeted metabolomics and targeted bile acid metabolomics for identification of diagnostic biomarkers for colorectal cancer].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023Article
- LC-MS-based serum metabolomics analysis for the screening and monitoring of colorectal cancer.Frontiers in oncology · 2023Article
- Systematic Review: Contribution of the Gut Microbiome to the Volatile Metabolic Fingerprint of Colorectal Neoplasia.Metabolites · 2022Review
- Extracellular vesicles expressing CEACAM proteins in the urine of bladder cancer patients.Cancer science · 2022Article
- Functional and embedding feature analysis for pan-cancer classification.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
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundColorectal cancer (CRC) is one of the most common malignant gastrointestinal cancers in the world with a 5-year survival rate of approximately 68%. Although researchers accumulated many scientific studies, its pathogenesis remains unclear yet. Detecting and removing these malignant polyps promptly is the most effective method in CRC prevention. Therefore, the analysis and disposal of malignant polyps is conducive to preventing CRC.
methodsIn the study, metabolic profiling as well as diagnostic biomarkers for CRC was investigated using untargeted GC-MS-based metabolomics methods to explore the intervention approaches. In order to better characterize the variations of tissue and serum metabolic profiles, orthogonal partial least-square discriminant analysis was carried out to further identify significant features. The key differences in t
resultsFinally, 17 tissue and 13 serum candidate ions were selected based on their corresponding retention time, p-value, m/z, and VIP value. Simultaneously, the most influential pathways contributing to CRC were inositol phosphate metabolism, primary bile acid biosynthesis, phosphatidylinositol signaling system, and linoleic acid metabolism.
conclusionsThe preliminary results suggest that the GC-MS-based method coupled with the pattern recognition method and understanding these cancer-specific alterations could make it possible to detect CRC early and aid in the development of additional treatments for the disease, leading to improvements in CRC patients' quality of life.
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