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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| Format: | Online |
| Idioma: | anglès |
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MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Accés en línia: | 42514 |
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| _version_ | 1869517789333553152 |
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| author | Pinto, Joana Carvalho, Márcia De Pinho, Paula Guedes |
| author_browse | Carvalho, Márcia De Pinho, Paula Guedes Pinto, Joana |
| author_facet | Pinto, Joana Carvalho, Márcia De Pinho, Paula Guedes |
| author_sort | Pinto, Joana |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-42643 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-426432024-04-05T12:32:07Z Cancer Metabolomics 2018 Pinto, Joana Carvalho, Márcia De Pinho, Paula Guedes QH301-705.5 QD415-436 Q1-390 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 thema EDItEUR::P Mathematics and Science::PS Biology, life sciences 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. 2021-02-11T09:28:15Z 2021-02-11T09:28:15Z 2019-12-09 11:49:15 2019 book 42514 9783039213450 9783039213467 https://directory.doabooks.org/handle/20.500.12854/42643 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/1538 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03921-346-7 10.3390/books978-3-03921-346-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039213450 9783039213467 184 open access |
| spellingShingle | QH301-705.5 QD415-436 Q1-390 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 thema EDItEUR::P Mathematics and Science::PS Biology, life sciences Pinto, Joana Carvalho, Márcia De Pinho, Paula Guedes Cancer Metabolomics 2018 |
| title | Cancer Metabolomics 2018 |
| title_full | Cancer Metabolomics 2018 |
| title_fullStr | Cancer Metabolomics 2018 |
| title_full_unstemmed | Cancer Metabolomics 2018 |
| title_short | Cancer Metabolomics 2018 |
| title_sort | cancer metabolomics 2018 |
| topic | QH301-705.5 QD415-436 Q1-390 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 thema EDItEUR::P Mathematics and Science::PS Biology, life sciences |
| topic_facet | QH301-705.5 QD415-436 Q1-390 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 thema EDItEUR::P Mathematics and Science::PS Biology, life sciences |
| url | 42514 |
| work_keys_str_mv | AT pintojoana cancermetabolomics2018 AT carvalhomarcia cancermetabolomics2018 AT depinhopaulaguedes cancermetabolomics2018 |