TY  - GEN
AU  - Pinto,Joana
AU  - Carvalho,Márcia
AU  - De Pinho,Paula Guedes
TI  - Cancer Metabolomics 2018
SN  - books978-3-03921-346-7
PY  - 2019///
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - cell transporters
KW  - pharmacodynamics
KW  - cell growth
KW  - in vitro study
KW  - metabolomic signatures
KW  - endometabolome
KW  - lung cancer
KW  - metabolomics
KW  - chemometric methods
KW  - bladder cancer
KW  - mTOR
KW  - metabolite profiling
KW  - metabolic pathways
KW  - hepatocellular carcinoma
KW  - glutamate
KW  - senescence MCF7
KW  - breath analysis
KW  - bio actives
KW  - biomarker
KW  - gas chromatography-mass spectrometry (GC-MS)
KW  - GC-MS
KW  - lung
KW  - omics
KW  - nutraceuticals
KW  - glutaminase
KW  - metabolism
KW  - acylcarnitines
KW  - Erwinaze
KW  - Kidrolase
KW  - glutathione
KW  - targeted metabolomics
KW  - apoptosis
KW  - SLC1A5
KW  - essential amino acids
KW  - cancer progression
KW  - ASCT2
KW  - HR MAS
KW  - alanine
KW  - analytical platforms
KW  - volatile organic compound
KW  - glutaminolysis
KW  - isotope tracing analysis
KW  - asparaginase
KW  - vitamin E
KW  - breast cancer
KW  - prognosis
KW  - early diagnosis
KW  - tocotrienols
KW  - NMR
KW  - prostate cancer
KW  - in vitro
KW  - cancer
KW  - MDA-MB-231
N1  - Open Access
N2  - 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
UR  - https://mdpi.com/books/pdfview/book/1538
UR  - https://directory.doabooks.org/handle/20.500.12854/42643
ER  -