[The haematological biobank--an infrastructure for quality assurance, development and research].

Archived patient samples of biological material coupled to clinical databases are valuable and hold the potential to improve patient care, quality control, research and development. Biobanks form a catalytic infrastructure which ensures the registration, handling and storage of collected biological material. Here, we describe the Haematology Biobank and stress the significance of a registration database.

Generation of a predictive melphalan resistance index by drug screen of B-cell cancer cell lines.

Background: Recent reports indicate that in vitro drug screens combined with gene expression profiles (GEP) of cancer cell lines may generate informative signatures predicting the clinical outcome of chemotherapy. In multiple myeloma (MM) a range of new drugs have been introduced and now challenge conventional therapy including high dose melphalan. Consequently, the generation of predictive signatures for response to melphalan may have a clinical impact.

[Cancer stem cells in the haematopoietic system].

Cancer is dependent on so-called cancer stem cells that initiate and maintain the cancer cell population. Stem cells are described in normal tissue as low-frequent, self-renewing cells with a multi- or pluripotent differentiation potential. The true characteristics of the cancer-initiating cells are still not entirely known, but it is obvious that identifying these cells will enable us to better understand the biology of cancer.

[Use of translational database at clinical department].

In haematology it is assumed that integrative analysis of global gene expression, protein and cell profiles as well as clinical data will lead to the development of new diagnostic, prognostic and predictive methods. A translational database system registering and combining all data and clinical observations about the patient is therefore needed. It is expected that along with automated prediction and prognosis tools, such a database system may have the potential to assist the development of new machine-based diagnostic decision-making processes.

Multiparametric flow cytometry profiling of neoplastic plasma cells in multiple myeloma.

Background And Aim: The clinical impact of multiparametric flow cytometry (MFC) in multiple myeloma (MM) is still unclear and under evaluation. Further progress relies on multiparametric profiling of the neoplastic plasma cell (PC) compartment to provide an accurate image of the stage of differentiation. The primary aim of this study was to perform global analysis of CD expression on the PC compartment and subsequently to evaluate the prognostic impact.

Cancer stem cells and the cellular hierarchy in haematological malignancies.

Malignancies in the haematopoietic system seem to depend on a small subset of so-called cancer stem cells (CSC) for their continued growth and progression - this was first described as the "sleeper-feeder theory" for leukaemia. The leukaemia stem cell was the first of such subsets to be described although the origins of these cells have been difficult to dissect. Consequently, their biology is not fully elucidated, which also holds true for the normal-tissue counterparts.

Induction of adipocyte-like phenotype in human mesenchymal stem cells by hypoxia.

Human mesenchymal stem cells (hMSCs) have the capacity to differentiate along several pathways to form bone, cartilage, tendon, muscle, and adipose tissues. The adult hMSCs reside in vivo in the bone marrow in niches where oxygen concentration is far below the ambient air, which is the most commonly encountered laboratory condition. The study reported here was designed to determine whether oxygen has a role in the differentiation of hMSCs into adipocytes.