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Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS
Published on: May 20, 2013
Comprehensive metabolomic profiling of osteosarcoma based on UHPLC-HRMS
Dongming Lv1,2, Yutong Zou1,2, Ziliang Zeng1,2
1Department of Musculoskeletal Oncology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.
This study reveals key metabolic changes in osteosarcoma (OS) patients, identifying potential biomarkers like lactic acid and glutamic acid for diagnosis and specific metabolites for monitoring lung metastasis.
Area of Science:
- Oncology
- Metabolomics
- Biochemistry
Background:
- Osteosarcoma (OS) is a common pediatric bone cancer.
- Tumor growth and spread are linked to metabolic reprogramming.
- Comprehensive metabolic data for OS is limited.
Purpose of the Study:
- Identify aberrant metabolic pathways in osteosarcoma.
- Discover potential adjuvant biomarkers for OS diagnosis and monitoring.
Main Methods:
- Serum samples from 65 OS patients and 30 controls.
- Nontargeted metabolomic profiling using liquid chromatography-mass spectrometry (LC-MS).
- Statistical analyses including OPLS-DA.
Main Results:
- Differential metabolites identified between primary OS, metastatic OS, and healthy controls.
- Serum adenosine-5-monophosphate, inosine-5-monophosphate, and guanosine monophosphate were elevated in primary OS.
- Lactic acid and glutamic acid showed high diagnostic potential (AUC 0.97-0.98); 5-aminopentanamide and 13(S)-HpOTrE showed metastasis monitoring potential (AUC 0.92).
Conclusions:
- New insights into osteosarcoma's metabolic landscape.
- Identified potential biomarkers for OS diagnosis and metastasis monitoring.
- Findings may have translational significance in clinical applications.
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