Metabolomics Analysis for Breast Cancer
Metabolomics analysis studies metabolites, small molecules produced during metabolism. In breast cancer, this approach is vital for understanding metabolic changes related to tumor development, progression, and treatment response. Profiling metabolites in tumor tissues and biofluids provides insights into dysregulated biochemical pathways. Alfa Cytology offers a complete suite of metabolomics analysis services tailored for breast cancer research, including data generation, analysis, and interpretation.
Introduction of Metabolomics
Breast cancer (BC) is the most diagnosed tumor and the leading cause of cancer death in women worldwide. Metabolomics enables the quantification of the entire set of metabolites in blood samples, allowing the study of differential metabolomic patterns associated with neoadjuvant BC therapy. Metabolome is a collection of all metabolites in a cell, tissue, or organ, mainly endogenous small molecule compounds with a molecular weight of less than 1000 Da. The metabolome contains a diverse mixture of small molecules, including amino acids, sugars and phosphate sugars, biogenic amines, and lipids. Metabolomics aims to characterize and quantify complete small-molecule metabolic pathways or metabolomes in biological systems. Metabolomics analysis of biological fluids can reflect the physiological and pathological state of organisms more directly and accurately.
Fig.1 Fabrication process for spatial metabolic images of tumor samples. (Zheng Y, et al., 2023)
Our Services
Alfa Cytology can provide you with BC metabolomics analysis services, including targeted metabolomics, non-targeted metabolomics, and lipid metabolomics analysis research. Metabolic alterations are hallmarks of breast tumorigenesis. Both urine and saliva metabolomics based on LC-MS analysis can be used to explore new biomarkers for BC diagnosis. Alterations in lipid metabolism affect BC cell growth and survival, plasticity, drug resistance, and metastasis, suggesting that lipidomics can serve as a valuable diagnostic tool for BC. Our services include,
| Services | Description |
|---|---|
| Targeted metabolomics | Targeted metabolomics is a method for qualitative and quantitative analysis of several target compounds or some or all of the metabolites involved in a metabolic pathway, with reference to standard substances. It has the characteristics of strong specificity, high sensitivity, and accurate quantification. |
| Untargeted metabolomics | Untargeted metabolomics is the unbiased detection of all metabolites in a biological sample. Through Untargeted metabolomics detection and bioinformatics analysis, we can understand the overall metabolic characteristics or changes of endogenous metabolites after organisms are disturbed, discover the endogenous small molecule metabolites that lead to this metabolic difference, and explore the metabolic mechanism behind this biological phenomenon or pathological phenomenon. |
| Lipidomics | Lipidomics studies the composition and content changes of lipids in organisms at the system level, reveals their interactions and their effects with other biomolecules, and thus studies the mechanism of lipid metabolism regulation in various life phenomena. |
Application Fields
- Develop BC biomarkers
- BC physiological and pathological mechanisms
- Finding new drug targets for BC
- Analyze gene function
Advantages of Our Services
- Professional database
- Personalized customized perfect solution
- The experimental platform has high sensitivity
- Stringent quality control
Alfa Cytology is a leading global CRO company. Our complete, optimized, and easy-to-operate workflows provide you with fast, accurate, and reproducible results to help you achieve your research goals. If you are interested in learning more about our BC multi-omic analysis services, please feel free to contact us. Our professional and patient staff will get in touch with you as soon as possible.
Reference
- Zheng Y, et al. Spatial metabolomics in head and neck tumors: a review. Front Oncol. 2023 Jul 13; 13:1213273.