ArticleFrontiers in oncology2022
Untargeted serum metabolomics reveals potential biomarkers and metabolic pathways associated with esophageal cancer.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.
- Metabolomic profiling of upper GI malignancies in blood and tissue: a systematic review and meta-analysis.Journal of cancer research and clinical oncology · 2024Pooled it
- Pooled it
- Subtype-specific associations of steatotic liver disease with gastric and esophageal cancers: a nationwide cohort study.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2026Article
- Serum Untargeted Metabolomics Profiling of Esophageal Squamous Cell Carcinoma in High-Incidence Areas of China.International journal of general medicine · 2026Article
- Untargeted metabolomics analysis of serum metabolic signatures as novel biomarkers for gastric carcinoma.World journal of clinical oncology · 2025Article
- Article
- A novel amino acid metabolism-related gene signature to predict the overall survival of esophageal squamous cell carcinoma patients.Journal of thoracic disease · 2024Article
- Untargeted serum metabolomics reveals potential biomarkers and metabolic pathways associated with the progression of gastroesophageal cancer.BMC cancer · 2023Article
- SHMT2 regulates esophageal cancer cell progression and immune Escape by mediating m6A modification of c-myc.Cell & bioscience · 2023Article
- Effect of Three Different Amino Acids Plus Gentamicin Against Methicillin-ResistantInfection and drug resistance · 2023Article
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolomics has been reported as an efficient tool to screen biomarkers that are related to esophageal cancer. However, the metabolic biomarkers identifying malignant degrees and therapeutic efficacy are still largely unknown in the disease. Here, GC-MS-based metabolomics was used to understand metabolic alteration in 137 serum specimens from patients with esophageal cancer, which is approximately two- to fivefold as many plasma specimens as the previous reports. The elevated amino acid metabolism is in sharp contrast to the reduced carbohydrate as a characteristic feature of esophageal cancer. Comparative metabolomics showed that most metabolic differences were determined between the early stage (0-II) and the late stage (III and IV) among the 0-IV stages of esophageal cancer and between patients who received treatment and those who did not receive treatment. Glycine, serine, and threonine metabolism and glycine were identified as the potentially overlapped metabolic pathway and metabolite, respectively, in both disease progress and treatment effect. Glycine, fructose, ornithine, and threonine can be a potential array for the evaluation of disease prognosis and therapy in esophageal cancer. These results highlight the means of identifying previously unknown biomarkers related to esophageal cancer by a metabolomics approach.
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