Nordmo, Carmen and Glehr, Gunther and Altenbuchinger, Michael and Spang, Rainer and Ziepert, Marita and Horn, Heike and Staiger, Annette M. and Ott, German and Schmitz, Norbert and Held, Gerhard and Einsele, Hermann and Topp, Max and Rosenwald, Andreas and Rauert-Wunderlich, Hilka (2020) Identification of a miRNA based model to detect prognostic subgroups in patients with aggressive B-cell lymphoma. LEUKEMIA & LYMPHOMA. ISSN 1042-8194, 1029-2403
Full text not available from this repository. (Request a copy)Abstract
In order to differentiate prognostic subgroups of patients with aggressive B-cell lymphoma, we analyzed the expression of 800 miRNAs with the NanoString nCounter human miRNA assay on a cohort of 228 FFPE samples of patients enrolled in the RICOVER-60 and MegaCHOEP trials. We identified significant miRNA signatures for overall survival (OS) and progression-free survival (PFS) by LASSO-penalized linear Cox-regression. High expression levels of miR-130a-3p and miR-423-5p indicate a better prognosis, whereas high levels of miR-374b-5p, miR-590-5p, miR-186-5p, and miR-106b-5p increase patients' risk levels for OS. Regarding PFS high expression of miR-365a-5p in addition to the other two miRNAs improves the prognosis and high levels of miR374a-5p, miR-106b-5p, and miR-590-5p, connects with increased risk and poor prognosis. We identified miRNA signatures to subdivide patients into two different risk groups. These prognostic models may be used in risk stratification in future clinical trials and help making personalized therapy decisions.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Diffuse large B-cell lymphoma; miRNA signature; prognostic biomarker; risk group stratification; survival |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Statistische Bioinformatik (Prof. Spang) |
| Depositing User: | Petra Gürster |
| Date Deposited: | 21 Apr 2021 13:55 |
| Last Modified: | 21 Apr 2021 13:55 |
| URI: | https://pred.uni-regensburg.de/id/eprint/43146 |
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