Breast Cancer Metabolomics: From Analytical Platforms to Multivariate Data Analysis. A Review

被引:48
|
作者
Silva, Catarina [1 ]
Perestrelo, Rosa [1 ]
Silva, Pedro [1 ]
Tomas, Helena [1 ,2 ]
Camara, Jose S. [1 ,2 ]
机构
[1] Univ Madeira, CQM, Campus Univ Penteada, P-9020105 Funchal, Portugal
[2] Univ Madeira, Fac Ciencias Exactas & Engn, Campus Univ Penteada, P-9020105 Funchal, Portugal
关键词
breast cancer; omics; analytical platforms; chemometric methods; SPECTROMETRY-BASED METABOLOMICS; NUCLEAR-MAGNETIC-RESONANCE; MASS-SPECTROMETRY; LIQUID-CHROMATOGRAPHY; UNTARGETED METABOLOMICS; MODEL VALIDATION; TUMOR-MARKERS; CELL-LINES; TCA CYCLE; RISK;
D O I
10.3390/metabo9050102
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Cancer is a major health issue worldwide for many years and has been increasing significantly. Among the different types of cancer, breast cancer (BC) remains the leading cause of cancer-related deaths in women being a disease caused by a combination of genetic and environmental factors. Nowadays, the available diagnostic tools have aided in the early detection of BC leading to the improvement of survival rates. However, better detection tools for diagnosis and disease monitoring are still required. In this sense, metabolomic NMR, LC-MS and GC-MS-based approaches have gained attention in this field constituting powerful tools for the identification of potential biomarkers in a variety of clinical fields. In this review we will present the current analytical platforms and their applications to identify metabolites with potential for BC biomarkers based on the main advantages and advances in metabolomics research. Additionally, chemometric methods used in metabolomics will be highlighted.
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收藏
页数:31
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