Staiger, Annette M. and Altenbuchinger, Michael and Ziepert, Marita and Kohler, Christian and Horn, Heike and Huttner, Michael and Huettl, Katrin S. and Glehr, Gunther and Klapper, Wolfram and Szczepanowski, Monika and Richter, Julia and Stein, Harald and Feller, Alfred C. and Moeller, Peter and Hansmann, Martin-Leo and Poeschel, Viola and Held, Gerhard and Loeffler, Markus and Schmitz, Norbert and Truemper, Lorenz and Pukrop, Tobias and Rosenwald, Andreas and Ott, German and Spang, Rainer and Siebert, Reiner and Pfreundschuh, Michael (2020) A novel lymphoma-associated macrophage interaction signature (LAMIS) provides robust risk prognostication in diffuse large B-cell lymphoma clinical trial cohorts of the DSHNHL. LEUKEMIA, 34 (2). pp. 543-552. ISSN 0887-6924, 1476-5551
Full text not available from this repository. (Request a copy)Abstract
Diffuse large B-cell lymphoma (DLBCL) is a disease with heterogeneous outcome. Stromal signatures have been correlated to survival in DLBCL. Their use, however, is hampered by the lack of assays for formalin-fixed paraffin-embedded material (FFPE). We constructed a lymphoma-associated macrophage interaction signature (LAMIS) interrogating features of the microenvironment using a NanoString assay applicable to FFPE. The clinical impact of the signature could be validated in a cohort of 466 patients enrolled in prospective clinical trials of the German High-Grade Non-Hodgkin Lymphoma Study Group (DSHNHL). Patients with high expression of the signature (LAMIS(high)) had shorter EFS, PFS, and OS. Multivariate analyses revealed independence from IPI factors in EFS (HR 1.7, 95% CI 1.2-2.4, p-value = 0.001), PFS (HR 1.8, 95% CI 1.2-2.5, p-value = 0.001) and OS (HR 1.8, 95% CI 1.3-2.7, p-value = 0.001). Multivariate analyses adjusted for the IPI factors showed the signature to be independent from COO, MYC rearrangements and double expresser status (DE). LAMIShigh and simultaneous DE status characterized a patient subgroup with dismal prognosis and early relapse. Our data underline the importance of the microenvironment in prognosis. Combined analysis of stromal features, the IPI and DE may provide a new rationale for targeted therapy.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | OF-ORIGIN CLASSIFICATION; GENE-EXPRESSION; ELDERLY-PATIENTS; REGULARIZATION PATHS; POOR-PROGNOSIS; HIGH-DENSITY; OPEN-LABEL; RITUXIMAB; PREDICTS; SURVIVAL; |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Innere Medizin III (Hämatologie und Internistische Onkologie) Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Statistische Bioinformatik (Prof. Spang) |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 30 Mar 2021 10:49 |
| Last Modified: | 30 Mar 2021 10:49 |
| URI: | https://pred.uni-regensburg.de/id/eprint/45179 |
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