Dagmar Riemann

Dr. Dagmar Riemann

Martin-Universität Halle-Wittenberg, Institute of Medical Immunology, Halle, Germany
orcid

Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 September 2018 in Clinical and Experimental Immunology
Verified
Journal Article
Open access
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Dagmar RiemannDagmar Riemann
Dagmar Riemann
MCM. Cwikowski
M. Cwikowski
STS. Turzer
S. Turzer
TGT. Giese
T. Giese
MGM. Grallert
M. Grallert
BSBarbara Seliger
Barbara Seliger
Characterization of host immune cell parameters prior to treatment is expected to identify biomarkers predictive of clinical outcome as well as to elucidate why some patients fail to respond to immunotherapy. We monitored blood immune cells from 58 patients with non‐small‐ cell lung cancer (NSCLC) undergoing surgery of the primary tumor and from 50 age‐matched healthy volunteers. Complete leukocyte blood count, the number of circulating dendritic cells (DC), HLA‐DRlow monocytes and several lymphocytic subpopulations were determined by eight‐color flow cytometry. Furthermore, the prognostic value of the immune cell parameters investigated was evaluated by patients’ survival analysis. Compared to the control group, blood of NSCLC patients contained more neutrophils resulting in a higher neutrophil‐to‐lymphocyte ratio (NLR), but a lower number of blood DC, in particular of plasmacytoid DC (pDC), natural killer (NK) cells and naive CD4+ and CD8+ T cells. Furthermore, a higher frequency of CD4+ regulatory T cells (Treg) and HLA‐DRlow monocytes was detected, and smoking had a significant impact on these values. HLA‐DRlow monocytes were positively correlated to the number of neutrophils, monocytes and NLR, but negatively associated with the number of pDC and naive CD4+ T cells. The frequency of Treg, HLA‐DRlow monocytes and naive CD4+ and CD8+ T cells as well as the ratios of CD4/HLA‐DRlow monocytes and HLA‐DRlow monocytes/pDC correlated with patient’s overall survival. Next to Treg, HLA‐DRlow monocytes and naive T cells represent prognostic markers for NSCLC patients and might be useful for monitoring of patients’ responses to immunotherapies in future studies.

4 October 2019 in Journal of Immunotherapy
Verified
Journal Article
Open access
MMMiriam Möller
Miriam Möller
STSteffi Turzer
Steffi Turzer
WSWolfgang Schütte
Wolfgang Schütte
BSBarbara Seliger
Barbara Seliger
Dagmar RiemannDagmar Riemann
Dagmar Riemann
Characterization of host immune cell parameters before and during immunotherapy is expected to identify predictive biomarkers for clinical outcome. We prospectively monitored blood immune cells from 35 patients with advanced non–small cell lung cancer undergoing checkpoint inhibitor monotherapy. The aim was to identify parameters correlating with better/worse outcome. Peripheral blood was serially collected before each infusion at the onset and at cycle 3 and 5 of immunotherapy. A complete leukocyte blood count, the lymphocytic subpopulations and the percentages of both HLA-DRlow monocytes and dendritic cells (DC) were monitored. Disease control was defined as partial/complete response and stable disease on computed tomography scan according to RECIST 1.1. The predictive value of the immune cell parameters investigated was evaluated by patients’ survival analysis. Forty percent of patients showed a clinical response, and the global median overall survival was 7.0 months (95% confidence interval: 3.5–10.5). Patients with an initial neutrophil-to-lymphocyte ratio (NLR) ≥5.2, and/or an amount of HLA-DRlow monocytes ≥11% and/or a total DC level ≤0.4% of leukocytes did rarely respond to PD-1 inhibitor therapy. Otherwise, the immunotherapy-induced decrease of the neutrophil-to-lymphocyte ratio and/or HLA-DRlow monocytes and the increase of total DC frequencies were correlated with improved therapy response and prolonged overall survival. Blood values in the third cycle of immunotherapy did already reflect the effects observed. On the basis of the 3 immune cell parameters identified we created 3 different variants of scores that enable to stratify patients into groups of risk/therapy response. Our results warrant further investigation in larger prospective clinical trials for validation.

11 December 1998 in Archives of Toxicology
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Journal Article
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JKJeanette Kraft
Jeanette Kraft
SBSiefgfried Bauer
Siefgfried Bauer
GKGerburg Keilhoff
Gerburg Keilhoff
JMJürgen Miersch
Jürgen Miersch
DWDetlef Wend
Detlef Wend
JLJürgen Langner
Jürgen Langner

13 October 2020 in Cancers
Verified
Journal Article
Open access
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Dagmar RiemannDagmar Riemann
Dagmar Riemann
WSWolfgang Schütte
Wolfgang Schütte
STSteffi Turzer
Steffi Turzer
BSBarbara Seliger
Barbara Seliger
MMMiriam Möller
Miriam Möller
The aim of this study was to investigate the expression of the coinhibitory molecule PD-L1/CD274 in monocytes and dendritic cells (DC) in the blood of lung cancer patients undergoing PD1 inhibitor therapy and to correlate data with patient’s outcome. PD-L1/CD274 expression of monocytes, CD1c+ myeloid DC (mDC) and CD303+ plasmacytoid DC (pDC) was determined by flow cytometry in peripheral blood at immunotherapy onset. The predictive value of the PD-L1/CD274-expression data was determined by patients’ survival analysis. Patients with a high PD-L1/CD274 expression of monocytes and blood DC subpopulations rarely responded to PD1 inhibitor therapy. Low PD-L1/CD274 expression of monocytes and DC correlated with prolonged progression-free survival (PFS) as well as overall survival (OS). The highest PD-L1/CD274 expression was found in CD14+HLA-DR++CD16+ intermediate monocytes. Whereas the PD-L1/CD274 expression of monocytes and DC showed a strong positive correlation, only the PD-L1/CD274 expression of DC inversely correlated with DC amounts and lymphocyte counts in peripheral blood. Our results implicate that a high PD-L1/CD274 expression of blood monocytes and DC subtypes is a risk factor for therapy response and for the survival of lung cancer patients undergoing PD1 inhibitor therapy.

1 October 1998 in International Journal of Molecular Medicine
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Journal Article
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BGB Göhring
B Göhring
HHH J Holzhausen
H J Holzhausen
AMA Meye
A Meye
HHH Heynemann
H Heynemann
URU Rebmann
U Rebmann
Dagmar RiemannDagmar Riemann
Dagmar Riemann
The regulatory mechanisms responsible for malignant transformation, tumor progression and metastasis in renal cell cancer (RCC) are still unclear, but there is some evidence that biologically active peptides might have regulatory effects on the behavior of this malignancy. Tumor cells can change local concentrations of active peptides by modulating their cell-surface enzymes. Using immunohistochemistry and enzyme-histochemistry, the expression of various membrane peptidases was examined in RCC and adjacent noninvaded renal parenchyma (n = 44). We describe the down-regulation of neutral endopeptidase 24.11 (NEP) protein expression in RCC of the clear cell/chromophilic type when compared with renal parenchyma, and show for the first time the lack of enzyme activity of NEP in RCC. The strongest expression could be found for dipeptidyl peptidase IV (DPIV) which is only decreased in RCC of the chromophobe cell type and is even present in oncocytoma. Aminopeptidase N (APN) and aminopeptidase A (APA) show attenuated expression in up to one third of clear cell/ chromophilic RCC. Chromophobe RCC and oncocytomas do not express APN, APA, NEP and gamma-glutamyltranspeptidase.

1 December 2014 in Atherosclerosis
Verified
Journal Article
Closed access
HFHang Fu
Hang Fu
FSFlorian Spieler
Florian Spieler
JGJulia Großmann
Julia Großmann
Dagmar RiemannDagmar Riemann
Dagmar Riemann
MLMarie Larisch
Marie Larisch
HLHarald Loppnow
Harald Loppnow