Cancer Metabolomics 2018
Material type:
ArticlePublication details: MDPI - Multidisciplinary Digital Publishing Institute 2019Description: 1 electronic resource (184 p.)Content type: - text
- computer
- online resource
- 9783039213450
- 9783039213467
- Mathematics and Science
- Biology, life sciences
- ASCT2
- Erwinaze
- GC-MS
- HR MAS
- Kidrolase
- MDA-MB-231
- NMR
- SLC1A5
- acylcarnitines
- alanine
- analytical platforms
- apoptosis
- asparaginase
- bio actives
- biomarker
- bladder cancer
- breast cancer
- breath analysis
- cancer
- cancer progression
- cell growth
- cell transporters
- chemometric methods
- early diagnosis
- endometabolome
- essential amino acids
- gas chromatography–mass spectrometry (GC–MS)
- glutamate
- glutaminase
- glutaminolysis
- glutathione
- hepatocellular carcinoma
- in vitro
- in vitro study
- isotope tracing analysis
- lung
- lung cancer
- mTOR
- metabolic pathways
- metabolism
- metabolite profiling
- metabolomic signatures
- metabolomics
- nutraceuticals
- omics
- pharmacodynamics
- prognosis
- prostate cancer
- senescence MCF7
- targeted metabolomics
- tocotrienols
- vitamin E
- volatile organic compound
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The metabolomics approach, defined as the study of all endogenously-produced low-molecular-weight compounds, appeared as a promising strategy to define new cancer biomarkers. Information obtained from metabolomic data can help to highlight disrupted cellular pathways and, consequently, contribute to the development of new-targeted therapies and the optimization of therapeutics. Therefore, metabolomic research may be more clinically translatable than other omics approaches, since metabolites are closely related to the phenotype and the metabolome is sensitive to many factors. Metabolomics seems promising to identify key metabolic pathways characterizing features of pathological and physiological states. Thus, knowing that tumor metabolism markedly differs from the metabolism of normal cells, the use of metabolomics is ideally suited for biomarker research. Some works have already focused on the application of metabolomic approaches to different cancers, namely lung, breast and liver, using urine, exhaled breath and blood. In this Special Issue we contribute to a more complete understanding of cancer disease using metabolomics approaches.
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eng
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