Cancer Metabolomics 2018
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...
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Year of Publication: | 2019 |
Language: | English |
Physical Description: | 1 electronic resource (184 p.) |
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Pinto, Joana auth Cancer Metabolomics 2018 MDPI - Multidisciplinary Digital Publishing Institute 2019 1 electronic resource (184 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier 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. English cell transporters pharmacodynamics cell growth in vitro study metabolomic signatures endometabolome lung cancer metabolomics chemometric methods bladder cancer mTOR metabolite profiling metabolic pathways hepatocellular carcinoma glutamate senescence MCF7 breath analysis bio actives biomarker gas chromatography–mass spectrometry (GC–MS) GC-MS lung omics nutraceuticals glutaminase metabolism acylcarnitines Erwinaze Kidrolase glutathione targeted metabolomics apoptosis SLC1A5 essential amino acids cancer progression ASCT2 HR MAS alanine analytical platforms volatile organic compound glutaminolysis isotope tracing analysis asparaginase vitamin E breast cancer prognosis early diagnosis tocotrienols NMR prostate cancer in vitro cancer MDA-MB-231 3-03921-345-8 Carvalho, Márcia auth De Pinho, Paula Guedes auth |
language |
English |
format |
eBook |
author |
Pinto, Joana |
spellingShingle |
Pinto, Joana Cancer Metabolomics 2018 |
author_facet |
Pinto, Joana Carvalho, Márcia De Pinho, Paula Guedes |
author_variant |
j p jp |
author2 |
Carvalho, Márcia De Pinho, Paula Guedes |
author2_variant |
m c mc p p g d ppg ppgd |
author_sort |
Pinto, Joana |
title |
Cancer Metabolomics 2018 |
title_full |
Cancer Metabolomics 2018 |
title_fullStr |
Cancer Metabolomics 2018 |
title_full_unstemmed |
Cancer Metabolomics 2018 |
title_auth |
Cancer Metabolomics 2018 |
title_new |
Cancer Metabolomics 2018 |
title_sort |
cancer metabolomics 2018 |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
publishDate |
2019 |
physical |
1 electronic resource (184 p.) |
isbn |
3-03921-346-6 3-03921-345-8 |
illustrated |
Not Illustrated |
work_keys_str_mv |
AT pintojoana cancermetabolomics2018 AT carvalhomarcia cancermetabolomics2018 AT depinhopaulaguedes cancermetabolomics2018 |
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n |
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(CKB)4100000010106110 (oapen)https://directory.doabooks.org/handle/20.500.12854/42643 (EXLCZ)994100000010106110 |
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cr |
is_hierarchy_title |
Cancer Metabolomics 2018 |
author2_original_writing_str_mv |
noLinkedField noLinkedField |
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1792107408450912256 |
fullrecord |
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