Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Thomas Rasmussen is active.

Publication


Featured researches published by Thomas Rasmussen.


British Journal of Haematology | 2002

Differential expression of CD56 and CD44 in the evolution of extramedullary myeloma

Inger Marie S. Dahl; Thomas Rasmussen; Goran Kauric; Anne Husebekk

Summary. We report on the different expression of CD56 and CD44 in plasma cells (PCs) simultaneously collected from bone marrow, extramedullary locations and peripheral blood in seven patients with multiple myeloma. Extramedullary PCs showed absence of CD56. In the bone marrow, however, subsets with varying CD56 expression were found in five out of seven patients, with one subset corresponding to that of extramedullar PCs. This differs from the de novo downregulation of CD56 in PC leukaemia, and suggests different mechanisms of spread of myeloma cells. CD44 expression was generally upregulated on extramedullary PCs. In three of the patients we investigated the clonal origin of extramedullary myeloma cells by sequencing the variable portion of the heavy chain immunoglobulin gene in phenotypically defined PCs isolated from different locations. In each patient we found malignant PCs with different homing behaviour originating from a common precursor cell.


Haematologica | 2010

Identification of translocation products but not K-RAS mutations in memory B cells from patients with multiple myeloma

Thomas Rasmussen; Jacob Haaber; Inger Marie S. Dahl; Lene Meldgaard Knudsen; Gitte Kerndrup; Marianne Lodahl; Hans Erik Johnsen; Michael Kuehl

Background Several laboratories have shown that cells with a memory B-cell phenotype can have the same clonotype as multiple myeloma tumor cells. Design and Methods The aim of this study was to determine whether some memory B cells have the same genetic alterations as their corresponding multiple myeloma malignant plasma cells. The methodology included sorting multiple myeloma or memory B cells into RNA stabilizing medium for generation of subset-specific polymerase chain reaction complementary DNA libraries from one or 100 cells. Results Cells with the phenotype of tumor plasma cells (CD38++CD19−CD45−/+CD56−/+/++) or memory B cells (CD38−/CD19+/CD27+) were isolated by flow activated cell sorting. In samples from all four patients with multiple myeloma and from two of the three with monoclonal gammopathy of undetermined significance, we identified memory B cells expressing multiple myeloma-specific oncogenes (FGFR3; IGH-MMSET; CCND1 high) dysregulated by an IGH translocation in the respective tumor plasma cells. By contrast, in seven patients with multiple myeloma, each of whom had tumor plasma cells with a K-RAS61 mutation, a total of 32,400 memory B cells were analyzed using a sensitive allele-specific, competitive blocker polymerase chain reaction assay, but no K-RAS mutations were identified. Conclusions The increased expression of a specific “early” oncogene of multiple myeloma (monoclonal gammopathy of undetermined significance) in some memory B cells suggests that dysregulation of the oncogene occurs in a precursor B-cell that can generate memory B cells and transformed plasma cells. However, if memory B cells lack “late” oncogene (K-RAS) mutations but express the “early” oncogene, they cannot be involved in maintaining the multiple myeloma tumor, but presumably represent a clonotypic remnant that is only partially transformed.


Journal of Leukocyte Biology | 2005

Highly glycosylated α1‐acid glycoprotein is synthesized in myelocytes, stored in secondary granules, and released by activated neutrophils

Kim Theilgaard-Mönch; Lars C. Jacobsen; Thomas Rasmussen; Carsten U. Niemann; Lene Udby; Rehannah Borup; Maged I. Gharib; Peter D. Arkwright; Adrian F. Gombart; Jero Calafat; Bo T. Porse; Niels Borregaard

α‐1‐Acid glycoprotein (AGP) is an acute‐phase protein produced by hepatocytes and secreted into plasma in response to infection/injury. We recently assessed the transcriptional program of terminal granulocytic differentiation by microarray analysis of bone marrow (BM) populations highly enriched in promyelocytes, myelocytes/metamyelocytes (MYs), and BM neutrophils. These analyses demonstrated a transient, high mRNA expression of genuine secondary/tertiary granule proteins and AGP in MYs. In agreement with this, immunocytochemistry revealed the presence of AGP protein and the secondary granule protein lactoferrin in cells from the MY stage and throughout granulocytic differentiation. Immunoelectron microscopy demonstrated the colocalization of AGP and lactoferrin in secondary granules of neutrophils. This finding was substantiated by the failure to detect AGP and lactoferrin in blood cells from a patient with secondary/tertiary (specific) granule deficiency. In addition, Western blot analysis of subcellular fractions isolated from neutrophils revealed that neutrophil‐derived AGP, localized in secondary granules, was abundant and highly glycosylated compared with endocytosed, plasma‐derived AGP localized in secretory vesicles. Exocytosis studies further demonstrated a marked release of AGP and lactoferrin by activated neutrophils. Finally, induction of CCAAT/enhancer‐binding protein (C/EBP)‐ɛ in a myeloid cell line was shown to increase AGP transcript levels, indicating that AGP expression in myeloid cells, like in hepatocytes, is partially regulated by members of the C/EBP family. Overall, these findings define AGP as a genuine secondary granule protein of neutrophils. Hence, neutrophils, which constitute the first line of defense, are likely to serve as the primary local source of AGP at sites of infection or injury.


British Journal of Haematology | 2007

Myeloma cell expression of 10 candidate genes for osteolytic bone disease. Only overexpression of DKK1 correlates with clinical bone involvement at diagnosis

Jacob Haaber; Niels Abildgaard; Lene Meldgaard Knudsen; Inger Marie S. Dahl; Marianne Lodahl; Mads Thomassen; Gitte Kerndrup; Thomas Rasmussen

Osteolytic bone disease (OBD) in multiple myeloma (MM) is caused by interactions between MM cells and the bone marrow microenvironment and is characterized by increased osteoclastic bone resorption and decreased osteoblastic bone formation. Recently, the role of osteoblast inhibition has come into focus, especially the possible role of overexpression of DKK1, an inhibitor of the Wnt signalling pathway. Further, CKS2, PSME2 and DHFR have also been reported as candidate genes for OBD. We studied the gene expression by quantitative reverse transcription polymerase chain reaction of TNFSF11 (RANKL), TNFSF11A (RANK), TNFRSF11B (OPG), CCL3 (MIP1A), CCL4 (MIP1B), PTHR1 (PTHrp), DKK1, CKS2, PSME2 and DHFR in purified, immunophenotypic FACS‐sorted plasma cells from 171 newly diagnosed MM patients, 20 patients with monoclonal gammopathy of undetermined significance and 12 controls. The gene expressions of the analysed genes were correlated with radiographically assessed OBD. Only overexpression of DKK1 was correlated to the degree of OBD. Myeloma cells did not express TNFSF11A, TNFSF11, or TNFRSF11B, and very rarely expressed CCL3 and PTHR11. CCL4, CKS2, PSME2 and DHFR were variably expressed, but the expression of these genes showed no correlation with OBD. In contrast, loss of PSME2 expression in MM plasma cells was significantly correlated with OBD.


Leukemia & Lymphoma | 2004

In Multiple Myeloma Clonotypic CD38 − /CD19 + /CD27 + Memory B Cells Recirculate Through Bone Marrow, Peripheral Blood and Lymph Nodes

Thomas Rasmussen; Marianne Lodahl; Søren Hancke; Hans Erik Johnsen

It is believed that myeloma cells are derived from a germinal center (GC) or post GC B cell. The GC B cell can differentiate into both a memory B cell and a plasma cell (PC). In this study, we investigated the recirculating potential of memory B cells clonally related to the myeloma PC (termed clonotypic). The V(H)DJ(H) immunoglobulin gene rearrangement of the myeloma clone was identified for 10 myeloma patients and allele-specific oligonucleotides (ASO) IgH RT-PCR assays were designed for each patient. Memory B cells (CD38- /CD19+ /CD27+) and their subsets defined by the monoclonal antibodies CD62L, CCR6, CXCR4, CXCR5, CCR7 were flow-sorted as single cells and analyzed by ASO RT-PCR analysis. In addition, aspirated peripheral lymph nodes (PLN) of 7 myeloma patients in complete or partial remission were analyzed for the presence of clonotypic cells. Circulating clonotypic memory B cells were identified in PBMNC of 7/10 patients and both CD62L positive and negative clonotypic memory B cells were identified. Furthermore, comparable frequencies of clonotypic cells were found in the CCR6 +/- and CXCR4 +/- memory B cell subsets, whereas all clonotypic memory and later stage B cells were CXCR5 positive. In accordance with their immunophenotype, clonotypic memory B-cells were identified in peripheral blood, bone marrow and PLNs. Clonotypic memory B-cells were present in the majority of myeloma patients and seem to have the same diverse recirculating/homing capacity as normal memory B cells.


British Journal of Haematology | 1999

Circulating clonal cells in multiple myeloma do not express CD34 mRNA, as measured by single‐cell and real‐time RT‐PCR assays

Thomas Rasmussen; Linda Jensen; Lone Honoré; Heidi Andersen; Hans Erik Johnsen

The peripheral blood (PB) mononuclear cells in patients with multiple myeloma (MM) have been reported to include CD34‐expressing cells that are clonally related to the myeloma cells. To determine whether there were elevated levels of CD34 mRNA or whether CD34+ cells in the PB include myeloma‐related cells, we developed a quantitative real‐time and a competitive CD34 RT‐PCR assay working on single flow‐sorted cells. Myeloma‐specific cells were detected with allele‐specific oligonucleotides (ASO) IgH PCR. PBSC products and mononuclear cell fractions in blood from normal donors, untreated and treated myeloma patients were analysed.


Medical Oncology | 1999

Reduced bone marrow stem cell pool and progenitor mobilisation in multiple myeloma after melphalan treatment

L Meldgaard Knudsen; Thomas Rasmussen; Lars Stoumann Jensen; Hans Erik Johnsen

The content of stem cells was analysed in bone marrow samples from 75 multiple myeloma patients. In unstimulated bone marrow the percentage of CD34+cells was significantly reduced in 11 patients previously treated with melphalan-prednisolone (MP)(median= 0.15%) compared to median 0.87% in 31 untreated patients (P=0.0001). The bone marrow cellularity in the two groups did not differ. There was no correlation between the number of courses or total dose of melphalan and content of CD34+cells in the bone marrow. The clonogenicity as, well as the ability to expand the marrow stem cell pool during growth factor treatment were also reduced in MP treated patients compared to untreated patients. Analysis of different subsets of CD34+ cells revealed no influence on the pre B cell compartment in the bone marrow by MP treatment, but the committed stem cells (CD34+CD38+) were reduced more than the uncommitted stem cells (CD34+CD38—) in the MP treated group compared to the untreated patients. Mobilisation to and harvest of total number of CD34+ cells from peripheral blood was also reduced in the MP treated group. There was, however, no difference in the distribution between CD34+CD38+and CD34+CD38—populations in the leukapheresis products in the untreated and the melphalan-treated group, suggesting selective mobilisation of CD34+CD38+ cells and/or differentiation of CD34+ CD38-cells during growth factor stimulation.We conclude that melphalan decreased the number of stem cells in the bone marrow, the ability to expand the stem cell pool and mobilise stem cells to the pheripheral blood.


British Journal of Haematology | 2007

Dysregulation of CD47 and the ligands thrombospondin 1 and 2 in multiple myeloma

Jannie Rendtlew Danielsen; Lene Meldgaard Knudsen; Inger Marie S. Dahl; Marianne Lodahl; Thomas Rasmussen

CD47 and thrombospondin 1 and 2 (TSP1 and TSP2) expression were analysed by real‐time reverse transcription polymerase chain reaction in fluorescence‐activated cell sorted plasma cells (PCs) from patients at consecutive stages of multiple myeloma (MM) development. 80% of MM patients, but only 39% of patients with monoclonal gammopathy of undetermined significance (MGUS) expressed CD47; median expression level increased 10‐fold with progression from MGUS to MM. Elevated TSP1/TSP2 levels occurred in bone marrow cultures from MM patients compared with healthy donors. CD47 and TSP1/TSP2 may have a potential role in the pathophysiology of MM, probably in the interaction between MM PCs and the microenvironment.


British Journal of Haematology | 2003

Occurrence of dysregulated oncogenes in primary plasma cells representing consecutive stages of myeloma pathogenesis: indications for different disease entities

Thomas Rasmussen; Kim Theilgaard-Mönch; Heidi Rye Hudlebusch; Marianne Lodahl; Hans Erik Johnsen; Inger Marie S. Dahl

Summary. This study investigated the expression pattern in primary plasma cells (PCs) of putative oncogenes suggested to be involved in multiple myeloma (MM) development. cDNA archives were generated by global reverse transcription polymerase chain reaction from CD38++/CD19–/CD56–/++ aberrant PCs of a prospective cohort of 96 subjects, including healthy individuals, patients with monoclonal gammopathies of undetermined significance (MGUS), MM and MM with extramedullary manifestations (ExMM). The cDNA archives were analysed quantitatively for expression of the cyclin D1, fibroblast growth factor receptor 3 (FGFR3), C‐MYC, C‐MAF and cyclin D3 oncogenes. In addition, all patients were screened for IGH–MMSET hybrid transcripts. None of the analysed oncogenes was randomly distributed. C‐MYC and cyclin D3 expression increased at the extramedullary transformation stage. Furthermore, C‐MYC and cyclin D3 expression in CD56+ MM was similar to MGUS, whereas CD56– MM was similar to ExMM. FGFR3/IGH–MMSET was only observed among CD56+ MM patients, whereas an increased frequency of C‐MAF dysregulation was seen among CD56– MM. High cyclin D1 expression levels were identified at similar frequencies at all stages, whereas the frequency of patients with low cyclin D1 levels increased during MM development. These data support the stepwise transformation model accumulating genetic alterations and proliferative capacity during MM initiation and development resulting in different clinical entities.


British Journal of Haematology | 1999

High numbers of clonal CD19+ cells in the peripheral blood of a patient with multiple myeloma

Thomas Rasmussen; Jesper Kastrup; Lene Meldgaard Knudsen; Hans Erik Johnsen

Recent studies concerning the numbers of circulating clonal B cells in patients with multiple myeloma (MM) have reported conflicting data regarding the exact levels of clonal B cells and the existence of clonal cells in the CD34 compartment. In this report we show that high numbers of clonal cells with a phenotype of late‐stage B cells or pre‐plasma cells were present in the peripheral blood (PB) of a patient with MM. During treatment the initial high level of PB clonal cells was markedly reduced and remained low (<1%) post transplant, even after disease progression. In addition, we found that the MM clone did not include a B‐progenitor population defined by CD34.

Collaboration


Dive into the Thomas Rasmussen's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Anders Bjarklev

Technical University of Denmark

View shared research outputs
Top Co-Authors

Avatar

Jørn Hedegaard Povlsen

Technical University of Denmark

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Karsten Rottwitt

Technical University of Denmark

View shared research outputs
Top Co-Authors

Avatar

O. Lumholt

University of Copenhagen

View shared research outputs
Top Co-Authors

Avatar

Lars Køber

Copenhagen University Hospital

View shared research outputs
Top Co-Authors

Avatar

Niels Abildgaard

Odense University Hospital

View shared research outputs
Researchain Logo
Decentralizing Knowledge