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dc.contributor.author
Clendinen, Chaevien S.  
dc.contributor.author
Gaul, David A.  
dc.contributor.author
Monge, Maria Eugenia  
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Arnold, Rebecca S.  
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Edison, Arthur Scott  
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Petros, John A.  
dc.contributor.author
Fernández, Facundo M.  
dc.date.available
2020-07-01T15:44:01Z  
dc.date.issued
2019-02  
dc.identifier.citation
Clendinen, Chaevien S.; Gaul, David A.; Monge, Maria Eugenia; Arnold, Rebecca S.; Edison, Arthur Scott; et al.; Preoperative Metabolic Signatures of Prostate Cancer Recurrence Following Radical Prostatectomy; American Chemical Society; Journal of Proteome Research; 18; 3; 2-2019; 1316-1327  
dc.identifier.issn
1535-3893  
dc.identifier.uri
http://hdl.handle.net/11336/108585  
dc.description.abstract
Technological advances in mass spectrometry 14 (MS), liquid chromatography (LC) separations, nuclear 15 magnetic resonance (NMR) spectroscopy, and big data 16 analytics have made possible studying metabolism at an 17 “omics” or systems level. Here, we applied a multiplatform 18 (NMR + LC−MS) metabolomics approach to the study of 19 preoperative metabolic alterations associated with prostate 20 cancer recurrence. Thus far, predicting which patients will 21 recur even after radical prostatectomy has not been possible. 22 Correlation analysis on metabolite abundances detected on 23 serum samples collected prior to surgery from prostate cancer 24 patients (n = 40 remission vs n = 40 recurrence) showed 25 significant alterations in a number of pathways, including 26 amino acid metabolism, purine and pyrimidine synthesis, tricarboxylic acid cycle, tryptophan catabolism, glucose, and lactate. 27 Lipidomics experiments indicated higher lipid abundances on recurrent patients for a number of classes that included 28 triglycerides, lysophosphatidylcholines, phosphatidylethanolamines, phosphatidylinositols, diglycerides, acyl carnitines, and 29 ceramides. Machine learning approaches led to the selection of a 20-metabolite panel from a single preoperative blood sample 30 that enabled prediction of recurrence with 92.6% accuracy, 94.4% sensitivity, and 91.9% specificity under cross-validation 31 conditions.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
American Chemical Society  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
PROSTATE CANCER  
dc.subject
BIOCHEMICAL RECURRENCE  
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METABOLOMICS  
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LIPIDOMICS  
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LIQUID CHROMATOGRAPHY  
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MASS SPECTROMETRY  
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NUCLEAR MAGNETIC RESONANCE  
dc.subject.classification
Química Analítica  
dc.subject.classification
Ciencias Químicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Preoperative Metabolic Signatures of Prostate Cancer Recurrence Following Radical Prostatectomy  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-04-22T14:40:57Z  
dc.journal.volume
18  
dc.journal.number
3  
dc.journal.pagination
1316-1327  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Washington  
dc.description.fil
Fil: Clendinen, Chaevien S.. Georgia Institute of Techology; Estados Unidos  
dc.description.fil
Fil: Gaul, David A.. Georgia Institute of Techology; Estados Unidos  
dc.description.fil
Fil: Monge, Maria Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Bionanociencias "Elizabeth Jares Erijman"; Argentina  
dc.description.fil
Fil: Arnold, Rebecca S.. University of Emory; Estados Unidos  
dc.description.fil
Fil: Edison, Arthur Scott. University of Georgia; Estados Unidos  
dc.description.fil
Fil: Petros, John A.. Atlanta Va Medical Center; Estados Unidos. University of Emory; Estados Unidos  
dc.description.fil
Fil: Fernández, Facundo M.. Georgia Institute of Techology; Estados Unidos  
dc.journal.title
Journal of Proteome Research  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://pubs.acs.org/doi/10.1021/acs.jproteome.8b00926  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1021/acs.jproteome.8b00926