ArticleFrontiers in medicine2023
Plasma metabolomic signatures of breast cancer.
Article in Frontiers in medicine, 2023. 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, 5 citations in OpenAlex.
- Unveiling the association between plasma lipid species and pan-cancers: A bidirectional 2-sample Mendelian randomization study.Medicine · 2026Article
- From dysbiosis to tumorigenesis: microbiome-derived metabolites as emerging cancer biomarkers.Frontiers in microbiology · 2026Review
- Metabolomic Analysis of Breast Cancer in Colombian Patients: Exploring Molecular Signatures in Different Subtypes and Stages.International journal of molecular sciences · 2025Article
- Application of Metabolic Biomarkers in Breast Cancer: A Literature Review.Annals of laboratory medicine · 2025Review
- Mechanism research on inhibition of gastric cancerOpen medicine (Warsaw, Poland) · 2025Article
- Metabolomics in Radiotherapy-Induced Early Adverse Skin Reactions of Breast Cancer Patients.Breast cancer (Dove Medical Press) · 2024Article
- Metabolomics-transcriptomics joint analysis: unveiling the dysregulated cell death network and developing a diagnostic model for high-grade neuroblastoma.Frontiers in immunology · 2023Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Breast cancer is a common malignant tumor. A large number of medical evidence shows that breast cancer screening can improve the early diagnosis rate and reduce the mortality rate of breast cancer. In the present study, a wide range of targeted metabolomics profiling was conducted to investigate the plasma signatures of breast cancer. Methods: A total of 86 patients with benign breast abnormalities (L group) and 143 patients with breast cancer (E group) were recruited. We collected their plasma samples and clinical information. Metabolomic analysis, based on the coverage of a wide range of targeted metabolomics was conducted with ultraperformance liquid chromatography- triple quadrupole-linear ion trap mass spectrometer (UPLC-QTRAP-MS). Results: We identified 716 metabolites through widely-targeted metabolomics. Serotonergic synapse was the main different metabolic pathway. The fold change of 14 metabolites was considered significantly different (fold change <0.67 or fold change >2; Conclusion: This study provided new insights into plasma biomarkers for differential diagnosis of benign abnormalities and breast cancer.
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