The applications of metabolomics in the molecular diagnostics of cancer. (2nd September 2019)

• Record Type: Journal Article
• Authors: Cheung, Pro Kit; Ma, Man Hin; Tse, Hing Fung; Yeung, Ka Fai; Tsang, Hin Fung; Chu, Man Kee Maggie; Kan, Chau Ming; Cho, William Chi Shing; Ng, Lawrence Bo Wah; Chan, Lawrence Wing Chi; Wong, Sze Chuen Cesar
• Is Part Of: Expert review of molecular diagnostics. Volume 19:Number 9(2019)
• Page Start: 785
• Page End: 793
• Publication Date: 2019-09-02
• Subjects: Metabolomics -- metabolite profiling -- molecular diagnostics -- MS -- NMR -- pharmacometabolomics -- precision medicine -- cancer; Molecular diagnosis -- Periodicals; 616.0758205
• DOI: 10.1080/14737159.2019.1656530
• Languages: English
• ISSNs: 1473-7159

Abstract

ABSTRACT: Introduction : Metabolomics, the study of metabolites, is a promising research field for cancers. The metabolic pathway in a tumor cell is different from a normal tissue cell. There are two approaches to study the metabolism, targeted and untargeted. The general approach is that metabolomic data are interpreted by bioinformatics tools correlating with metabolomic databases to obtain significant findings. With the use of specific analysis tools, such as nuclear magnetic resonance (NMR) and mass spectrometer (MS) combined with chromatography, metabolic profile or metabolic fingerprint of various biological specimens could be obtained. The applications of metabolomics are used to discover potential cancer biomarkers and monitor the metastatic state, therapeutic and drug response for better patient management. Areas covered : In this review, the author introduce metabolomics and discuss the use of metabolomics approaches in different cancers, including the study of colorectal cancer, prostate cancer, liver cancer, pancreatic cancer and breast cancer using NMR and MS. Expert opinion : Knowledge on the molecular basis of cancer metabolism and its potential clinical applications has been improving recently. However, there are still many challenges for the technological development and integration of metabolomics with other omics spaces such as genomics. In the near future, it is expected that metabolomics will play an important role in cancer molecular diagnostics.