Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/37447
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dc.contributor.authorVANHOVE, Karolien-
dc.contributor.authorDERVEAUX, Elien-
dc.contributor.authorMESOTTEN, Liesbet-
dc.contributor.authorTHOMEER, Michiel-
dc.contributor.authorCriel, Maarten-
dc.contributor.authorMARIEN, Hanne-
dc.contributor.authorADRIAENSENS, Peter-
dc.date.accessioned2022-06-07T08:19:52Z-
dc.date.available2022-06-07T08:19:52Z-
dc.date.issued2022-
dc.date.submitted2022-06-07T07:54:46Z-
dc.identifier.citationInternational Journal of Molecular Sciences, 23 (10) (Art N° 5602)-
dc.identifier.issn1661-6596-
dc.identifier.urihttp://hdl.handle.net/1942/37447-
dc.description.abstractLung cancer cells are well documented to rewire their metabolism and energy production networks to enable proliferation and survival in a nutrient-poor and hypoxic environment. Although metabolite profiling of blood plasma and tissue is still emerging in omics approaches, several techniques have shown potential in cancer diagnosis. In this paper, the authors describe the alterations in the metabolic phenotype of lung cancer patients. In addition, we focus on the metabolic cooperation between tumor cells and healthy tissue. Furthermore, the authors discuss how metabolomics could improve the management of lung cancer patients.-
dc.description.sponsorshipFunding: This work was funded by Hasselt University and the Research Foundation Flanders (FWO Vlaanderen) via the Hercules project AUHL/15/2-GOH3816N and by Kom Op Tegen Kanker (R-8585). Acknowledgments: The Research Foundation Flanders (FWO Vlaanderen), University of Hasselt, and Kom Op Tegen Kanker (KOTK). This study is part of the Limburg Clinical Research Center (LCRC; UHasselt-ZOL-Jessa) supported by Limburg Sterk Merk, Province of Limburg, Flemish Government, Hasselt University, Ziekenhuis Oost-Limburg and Jessa Hospital.-
dc.language.isoen-
dc.publisherMDPI-
dc.rights2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).-
dc.subject.otherNMR (nuclear magnetic resonance)-
dc.subject.otherlung cancer-
dc.subject.othermetabolism-
dc.subject.otherHumans-
dc.subject.otherMagnetic Resonance Imaging-
dc.subject.otherMagnetic Resonance Spectroscopy-
dc.subject.otherPhenotype-
dc.subject.otherLung Neoplasms-
dc.subject.otherMetabolomics-
dc.titleUnraveling the Rewired Metabolism in Lung Cancer Using Quantitative NMR Metabolomics-
dc.typeJournal Contribution-
dc.identifier.issue10-
dc.identifier.volume23-
local.format.pages17-
local.bibliographicCitation.jcatA1-
local.publisher.placeST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND-
local.type.refereedRefereed-
local.type.specifiedReview-
local.bibliographicCitation.artnr5602-
dc.identifier.doi10.3390/ijms23105602-
dc.identifier.pmid35628415-
dc.identifier.isi000804259200001-
dc.identifier.eissn1422-0067-
local.provider.typePubMed-
local.uhasselt.internationalno-
item.fulltextWith Fulltext-
item.contributorVANHOVE, Karolien-
item.contributorDERVEAUX, Elien-
item.contributorMESOTTEN, Liesbet-
item.contributorTHOMEER, Michiel-
item.contributorCriel, Maarten-
item.contributorMARIEN, Hanne-
item.contributorADRIAENSENS, Peter-
item.fullcitationVANHOVE, Karolien; DERVEAUX, Elien; MESOTTEN, Liesbet; THOMEER, Michiel; Criel, Maarten; MARIEN, Hanne & ADRIAENSENS, Peter (2022) Unraveling the Rewired Metabolism in Lung Cancer Using Quantitative NMR Metabolomics. In: International Journal of Molecular Sciences, 23 (10) (Art N° 5602).-
item.accessRightsOpen Access-
item.validationecoom 2023-
crisitem.journal.issn1661-6596-
crisitem.journal.eissn1422-0067-
Appears in Collections:Research publications
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