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| Verfasst von: | Yuan, Tanwei [VerfasserIn]  |
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| | Edelmann, Dominic [VerfasserIn] |
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| | Kather, Jakob Nikolas [VerfasserIn] |
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| | Fan, Ziwen [VerfasserIn] |
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| | Tagscherer, Katrin [VerfasserIn] |
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| | Roth, Wilfried [VerfasserIn] |
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| | Bewerunge-Hudler, Melanie [VerfasserIn] |
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| | Brobeil, Alexander [VerfasserIn] |
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| | Kloor, Matthias [VerfasserIn] |
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| | Bläker, Hendrik [VerfasserIn] |
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| | Burwinkel, Barbara [VerfasserIn] |
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| | Brenner, Hermann [VerfasserIn] |
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| | Hoffmeister, Michael [VerfasserIn] |
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| Titel: | CpG-biomarkers in tumor tissue and prediction models for the survival of colorectal cancer |
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| Titelzusatz: | A systematic review and external validation study |
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| Verf.angabe: | Tanwei Yuan, Dominic Edelmann, Jakob N. Kather, Ziwen Fan, Katrin E. Tagscherer, Wilfried Roth, Melanie Bewerunge-Hudler, Alexander Brobeil, Matthias Kloor, Hendrik Blaeker, Barbara Burwinkel, Hermann Brenner, Michael Hoffmeister |
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| E-Jahr: | 2024 |
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| Jahr: | January 2024 |
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| Umfang: | 10 S. |
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| Illustrationen: | Illustrationen |
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| Fussnoten: | Online verfügbar: 11. November 2023 ; Gesehen am 08.04.2024 |
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| Titel Quelle: | Enthalten in: Critical reviews in oncology, hematology |
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| Ort Quelle: | Amsterdam [u.a.] : Elsevier Science, 1983 |
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| Jahr Quelle: | 2024 |
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| Band/Heft Quelle: | 193(2024), Artikel-ID 104199, Seite 1-10 |
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| ISSN Quelle: | 1879-0461 |
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| Abstract: | The research aimed to identify previously published CpG-methylation-based prognostic biomarkers and prediction models for colorectal cancer (CRC) prognosis and validate them in a large external cohort. A systematic search was conducted, analyzing 298 unique CpGs and 12 CpG-based prognostic models from 28 studies. After adjustment for clinical variables, 48 CpGs and five prognostic models were confirmed to be associated with survival. However, the discrimination ability of the models was insufficient, with area under the receiver operating characteristic curves ranging from 0.53 to 0.62. Calibration accuracy was mostly poor, and no significant added prognostic value beyond traditional clinical variables was observed. All prognostic models were rated at high risk of bias. While a fraction of CpGs showed potential clinical utility and generalizability, the CpGbased prognostic models performed poorly and lacked clinical relevance. |
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| DOI: | doi:10.1016/j.critrevonc.2023.104199 |
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| 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: https://doi.org/10.1016/j.critrevonc.2023.104199 |
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| | Volltext: https://www.sciencedirect.com/science/article/pii/S1040842823002871?via%3Dihub |
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| | DOI: https://doi.org/10.1016/j.critrevonc.2023.104199 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | Biomarkers |
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| | Colorectal cancer |
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| | DNA methylation |
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| | EXPLANATION |
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| | External validation |
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| | Prognosis |
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| | PROGNOSIS PREDICTION |
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| | RISK |
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| K10plus-PPN: | 1885285051 |
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| Verknüpfungen: | → Zeitschrift |
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CpG-biomarkers in tumor tissue and prediction models for the survival of colorectal cancer / Yuan, Tanwei [VerfasserIn]; January 2024 (Online-Ressource)
