代谢组学
癌症
计算生物学
前列腺癌
结直肠癌
蛋白质组学
乳腺癌
癌症生物标志物
组学
医学
生物信息学
生物
基因组学
内科学
生物化学
基因
基因组
作者
Pro Kit Cheung,Man Hin,Hing Fung Tse,Ka Fai Yeung,Hin Fung Tsang,Maoping Chu,Chau Ming Kan,William C. Cho,Lawrence Bo Wah Ng,Lawrence Chan,Sze Chuen Cesar Wong
标识
DOI:10.1080/14737159.2019.1656530
摘要
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.
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