| Online-Ressource |
Verfasst von: | Gündert, Melanie [VerfasserIn]  |
| Edelmann, Dominic [VerfasserIn]  |
| Benner, Axel [VerfasserIn]  |
| Jansen, Lina [VerfasserIn]  |
| Walter, Viola [VerfasserIn]  |
| Knebel, Phillip [VerfasserIn]  |
| Herpel, Esther [VerfasserIn]  |
| Chang-Claude, Jenny [VerfasserIn]  |
| Hoffmeister, Michael [VerfasserIn]  |
| Brenner, Hermann [VerfasserIn]  |
| Burwinkel, Barbara [VerfasserIn]  |
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 |
Genome-wide DNA methylation analysis reveals a prognostic classifier for non-metastatic colorectal cancer (ProMCol classifier) / Gündert, Melanie [VerfasserIn]; 2019 (Online-Ressource)