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Status: Bibliographieeintrag

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Verfasst von:Gündert, Melanie [VerfasserIn]   i
 Edelmann, Dominic [VerfasserIn]   i
 Benner, Axel [VerfasserIn]   i
 Jansen, Lina [VerfasserIn]   i
 Walter, Viola [VerfasserIn]   i
 Knebel, Phillip [VerfasserIn]   i
 Herpel, Esther [VerfasserIn]   i
 Chang-Claude, Jenny [VerfasserIn]   i
 Hoffmeister, Michael [VerfasserIn]   i
 Brenner, Hermann [VerfasserIn]   i
 Burwinkel, Barbara [VerfasserIn]   i
Titel:Genome-wide DNA methylation analysis reveals a prognostic classifier for non-metastatic colorectal cancer (ProMCol classifier)
Verf.angabe:Melanie Gündert, Dominic Edelmann, Axel Benner, Lina Jansen, Min Jia, Viola Walter, Phillip Knebel, Esther Herpel, Jenny Chang-Claude, Michael Hoffmeister, Hermann Brenner, Barbara Burwinkel
Jahr:2019
Jahr des Originals:2017
Umfang:10 S.
Teil:volume:68
 year:2019
 pages:101-110
 extent:10
Fussnoten:Gesehen am 11.02.2019 ; Published online first: 3 November 2017
Titel Quelle:Enthalten in: Gut
Ort Quelle:London : BMJ Publishing Group, 1960
Jahr Quelle:2019
Band/Heft Quelle:68(2019), Seite 101-110
ISSN Quelle:1468-3288
Abstract:OBJECTIVE: Pathological staging used for the prediction of patient survival in colorectal cancer (CRC) provides only limited information. DESIGN: Here, a genome-wide study of DNA methylation was conducted for two cohorts of patients with non-metastatic CRC (screening cohort (n=572) and validation cohort (n=274)). A variable screening for prognostic CpG sites was performed in the screening cohort using marginal testing based on a Cox model and subsequent adjustment of the p-values via independent hypothesis weighting using the methylation difference between 34 pairs of tumour and normal mucosa tissue as auxiliary covariate. From the 1000 CpG sites with the smallest adjusted p-value, 20 CpG sites with the smallest Brier score for overall survival (OS) were selected. Applying principal component analysis, we derived a prognostic methylation-based classifier for patients with non-metastatic CRC (ProMCol classifier). RESULTS: This classifier was associated with OS in the screening (HR 0.51, 95% CI 0.41 to 0.63, p=6.2E-10) and the validation cohort (HR 0.61, 95% CI 0.45 to 0.82, p=0.001). The independent validation of the ProMCol classifier revealed a reduction of the prediction error for 3-year OS from 0.127, calculated only with standard clinical variables, to 0.120 combining the clinical variables with the classifier and for 4-year OS from 0.153 to 0.140. All results were confirmed for disease-specific survival. CONCLUSION: The ProMCol classifier could improve the prognostic accuracy for patients with non-metastatic CRC.
DOI:doi:10.1136/gutjnl-2017-314711
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext ; Resolving-System ; Verlag: https://gut.bmj.com/content/early/2017/11/03/gutjnl-2017-314711
 Volltext: http://dx.doi.org/10.1136/gutjnl-2017-314711
 DOI: https://doi.org/10.1136/gutjnl-2017-314711
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:cancer epidemiology
 colorectal cancer
 methylation
K10plus-PPN:1578329264
Verknüpfungen:→ Zeitschrift

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