Combining magnetic resonance spectroscopy and molecular genomics offers better accuracy in brain tumor typing and prediction of survival than either methodology alone

Απλή σελίδα τεκμηρίου
dc.contributor.authorAstrakas, L.en
dc.contributor.authorBlekas, K.en
dc.contributor.authorConstantinou, C.en
dc.contributor.authorAndronesi, O. C.en
dc.contributor.authorMindrinos, M. N.en
dc.contributor.authorLikas, A. C.en
dc.contributor.authorRahme, L. G.en
dc.contributor.authorBlack, P. M.en
dc.contributor.authorMarcus, K. J.en
dc.contributor.authorTzika, A. A.en
dc.date.accessioned2015-11-24T17:02:27Z
dc.date.available2015-11-24T17:02:27Z
dc.identifier.issn1019-6439-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/11055
dc.rightsDefault Licence-
dc.subjectbrain/central nervous system cancersen
dc.subjecttumor biomarkersen
dc.subjectex vivo high-resolution magic angle spinning magnetic resonance spectroscopyen
dc.subjectsupport vector machinesen
dc.subjectgenomicsen
dc.subjectgene-expression dataen
dc.subjectsupport vector machinesen
dc.subjectnervous-system cancersen
dc.subjectrenal-cell carcinomaen
dc.subjectshort echo timeen
dc.subjecth-1 mr spectraen
dc.subjectin-vivoen
dc.subjectbinding-proteinen
dc.subjectbiochemical-characterizationen
dc.subjectmyocardial-infarctionen
dc.titleCombining magnetic resonance spectroscopy and molecular genomics offers better accuracy in brain tumor typing and prediction of survival than either methodology aloneen
heal.abstractRecent advents in magnetic resonance spectroscopy (MRS) techniques permit subsequent microarray analysis over the entire human transcriptome in the same tissue biopsies. However, extracting information from such immense quantities of data is limited by difficulties in recognizing and evaluating the relevant patterns of apparent gene expression in the context of the existing knowledge of phenotypes by histopathology. Using a quantitative approach derived from a knowledge base of pathology findings, we present a novel methodology used to process genome-wide transcription and MRS data. This methodology was tested to examine metabolite and genome-wide profiles in MRS and RNA in 55 biopsies from human subjects with brain tumors with similar to 100% certainty. With the guidance of histopathology and clinical outcome, 15 genes with the assistance of 15 MRS metabolites were able to be distinguished by tumor categories and the prediction of survival was better than when either method was used alone. This new method, combining MRS, genomics, statistics and biological content, improves the typing and understanding of the complexity of human brain tumors, and assists in the search for novel tumor biomarkers. It is an important step for novel drug development, it generates testable hypotheses regarding neoplasia and promises to guide human brain tumor therapy provided improved in vivo methods for monitoring response to therapy are developed.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.identifier.primaryDoi 10.3892/Ijo.2011.928-
heal.journalNameInt J Oncolen
heal.journalTypepeer reviewed-
heal.languageen-
heal.publicationDate2011-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

Αρχεία

Φάκελος/Πακέτο αδειών

Προβολή: 1 - 1 of 1
Μικρογραφία εικόνας
Ονομα:
license.txt
Μέγεθος:
1.74 KB
Μορφότυπο:
Item-specific license agreed upon to submission
Περιγραφή:
Κατεβάστε

Συλλογές

Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά)