CpG-biomarkers in tumor tissue and prediction models for the survival of colorectal cancer: A systematic review and external validation study
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 fr...
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| Hauptverfasser: | , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
January 2024
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| In: |
Critical reviews in oncology, hematology
Year: 2024, Jahrgang: 193, Pages: 1-10 |
| ISSN: | 1879-0461 |
| DOI: | 10.1016/j.critrevonc.2023.104199 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.critrevonc.2023.104199 Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S1040842823002871?via%3Dihub 
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| Verfasserangaben: | 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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| 245 | 1 | 0 | |a CpG-biomarkers in tumor tissue and prediction models for the survival of colorectal cancer |b A systematic review and external validation study |c 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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| 520 | |a 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. | ||
| 650 | 4 | |a Biomarkers | |
| 650 | 4 | |a Colorectal cancer | |
| 650 | 4 | |a DNA methylation | |
| 650 | 4 | |a EXPLANATION | |
| 650 | 4 | |a External validation | |
| 650 | 4 | |a Prognosis | |
| 650 | 4 | |a PROGNOSIS PREDICTION | |
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| 773 | 0 | 8 | |i Enthalten in |t Critical reviews in oncology, hematology |d Amsterdam [u.a.] : Elsevier Science, 1983 |g 193(2024), Artikel-ID 104199, Seite 1-10 |h Online-Ressource |w (DE-627)320649024 |w (DE-600)2025731-4 |w (DE-576)094108137 |x 1879-0461 |7 nnas |a CpG-biomarkers in tumor tissue and prediction models for the survival of colorectal cancer A systematic review and external validation study |
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