Leiddy reflection
Download as DOCX, PDF0 likes365 views
This study examines using metabolite profiling to detect recurrent breast cancer through nuclear magnetic resonance (NMR) and mass spectrometry (MS). These techniques are used to analyze serum samples and identify putative biomarkers, which are then validated through supervised and unsupervised methods. The supervised method determines if cancer is present, while the unsupervised method detects clusters. This metabolite profiling approach provides a more sensitive detection method than mammography and blood tests and could significantly help increase breast cancer survival rates if applied in clinical practice.
1 of 1
Download to read offline
Leiddy reflection
- 1. Nicole Colón Seminar Reflections: According to Vincent A. et al in the article “Early detection of Recurrent Brest Cancer Using Metabolite Profiling” brest cancer is one of the leading causes of death between women. Recent studies have proved that early detection of breast cancer can increase the survival of the affected person. It’s said that using common methods for detecting this types of cancer, such as mammography and blood tests, may not be sensitive enough. This study focus on detecting brest cancer by using “Metabolite Profiling”. Metabolimic is study of chemical processes involving metabolites. To detect this kind of molecule two main techniques are used: NMR and MS. Nuclear Magnetic Resonance involved the manipulation of nuclear spin of an atom while Mass spectrometry separates and detect mass of protein found in the tissue. Using a combination of both techniques, NMR and MS, leads scientist to a more sensitive and specific biomarkers. During the detection of these biomarkers serum samples are collected; this samples are put through the two main techniques, NMR and MS. The data obtain is used to performed statistical analysis and “putative biomarkers” are identify. These putative biomarkers are validated through two methods: Supervised method and unsupervised method. Unsupervised methods detect clusters while the supervised method determines whether the disease is present or not. This article provides the scientific world information about other methods that can be very useful in the detection of these diseases, such as brest cancer. Using this kind of methods can be dramatically significant to the scientific world involved in cancer studies. It can be applied to daily use and can increase the survival of the affected persons.