Biomedical subjects

Bernhard Mlecnik

Publications and source records attributed to Bernhard Mlecnik.

6 recordsLinked to original sources

PubMed2006

Type, density, and location of immune cells within human colorectal tumors predict clinical outcome.

The role of the adaptive immune response in controlling the growth and recurrence of human tumors has been controversial. We characterized the tumor-infiltrating immune cells in large cohorts of human colorectal cancers by gene expression profiling and in situ immunohistochemical staining. Collectively, the immunological data (the type, density, and location of immune cells within the tumor samples) were found to be a better predictor of patient survival than the histopathological methods currently used to stage colorectal cancer. The results were validated in two additional patient populations. These data support the hypothesis that the adaptive immune response influences the behavior of human tumors. In situ analysis of tumor-infiltrating immune cells may therefore be a valuable prognostic tool in the treatment of colorectal cancer and possibly other malignancies.

CD3 Complex↗

PubMed2006

LPL-mediated lipolysis of VLDL induces an upregulation of AU-rich mRNAs and an activation of HuR in endothelial cells.

Lipoprotein lipase (LPL), the major enzyme for hydrolysis of circulating triglyceride-rich lipoproteins, is bound to the luminal surface of capillary endothelial cells. Products of LPL-mediated lipolysis, such as free fatty acids (FFA) and lipoprotein-remnants, can affect endothelial function and gene expression, and hence vascular homeostasis. In this study we tried to identify lipolysis-induced mRNAs in porcine aortic endothelial cells (ECAP) using a cDNA subtraction method. cDNA obtained from ECAP incubated with LPL and VLDL was subtracted from cDNA from cells cultured under control conditions. Analysis of the identified sequences revealed an upregulation of several mRNAs with adenine and uracil-rich elements (ARE) in their 3'-untranslated regions, such as IL-8, ESM-1 and VCAM-1. HuR, a ubiquitously expressed RNA-binding protein, is known to stabilize ARE-harboring mRNAs. Therefore, we investigated whether HuR is involved in this process and found that lipolysis induced an increased polysomal localization of HuR, which is typical for its activation pathway. In addition, the mRNAs for GM-CSF and TNF-alpha - established ARE-containing targets for HuR-mediated regulation - were upregulated by LPL-mediated lipolysis in ECAP. Differential expression of AU-rich mRNAs in response to LPL-mediated lipolysis might have an impact on physiological processes regulating lipid metabolism or pathophysiological processes promoting endothelial dysfunction and atherogenesis.

Animals↗

PubMed2005

Effector memory T cells, early metastasis, and survival in colorectal cancer.

BACKGROUND: The role of tumor-infiltrating immune cells in the early metastatic invasion of colorectal cancer is unknown. METHODS: We studied pathological signs of early metastatic invasion (venous emboli and lymphatic and perineural invasion) in 959 specimens of resected colorectal cancer. The local immune response within the tumor was studied by flow cytometry (39 tumors), low-density-array real-time polymerase-chain-reaction assay (75 tumors), and tissue microarrays (415 tumors). RESULTS: Univariate analysis showed significant differences in disease-free and overall survival according to the presence or absence of histologic signs of early metastatic invasion (P<0.001). Multivariate Cox analysis showed that an early conventional pathological tumor-node-metastasis stage (P<0.001) and the absence of early metastatic invasion (P=0.04) were independently associated with increased survival. As compared with tumors with signs of early metastatic invasion, tumors without such signs had increased infiltrates of immune cells and increased levels of messenger RNA (mRNA) for products of type 1 helper effector T cells (CD8, T-BET [T-box transcription factor 21], interferon regulatory factor 1, interferon-gamma, granulysin, and granzyme B) but not increased levels of inflammatory mediators or immunosuppressive molecules. The two types of tumors had significant differences in the levels of expression of 65 combinations of T-cell markers, and hierarchical clustering showed that markers of T-cell migration, activation, and differentiation were increased in tumors without signs of early metastatic invasion. The latter type of tumors also had increased numbers of CD8+ T cells, ranging from early memory (CD45RO+CCR7-CD28+CD27+) to effector memory (CD45RO+CCR7-CD28-CD27-) T cells. The presence of high levels of infiltrating memory CD45RO+ cells, evaluated immunohistochemically, correlated with the absence of signs of early metastatic invasion, a less advanced pathological stage, and increased survival. CONCLUSIONS: Signs of an immune response within colorectal cancers are associated with the absence of pathological evidence of early metastatic invasion and with prolonged survival.

Analysis of Variance↗

PubMed2005

PathwayExplorer: web service for visualizing high-throughput expression data on biological pathways.

While generation of high-throughput expression data is becoming routine, the fast, easy, and systematic presentation and analysis of these data in a biological context is still an obstacle. To address this need, we have developed PathwayExplorer, which maps expression profiles of genes or proteins simultaneously onto major, currently available regulatory, metabolic and cellular pathways from KEGG, BioCarta and GenMAPP. PathwayExplorer is a platform-independent web server application with an optional standalone Java application using a SOAP (simple object access protocol) interface. Mapped pathways are ranked for the easy selection of the pathway of interest, displaying all available genes of this pathway with their expression profiles in a selectable and intuitive color code. Pathway maps produced can be downloaded as PNG, JPG or as high-resolution vector graphics SVG. The web service is freely available at https://pathwayexplorer.genome.tugraz.at; the standalone client can be downloaded at http://genome.tugraz.at.

Computer Graphics↗

PubMed2004

GOLD.db: genomics of lipid-associated disorders database.

BACKGROUND: The GOLD.db (Genomics of Lipid-Associated Disorders Database) was developed to address the need for integrating disparate information on the function and properties of genes and their products that are particularly relevant to the biology, diagnosis management, treatment, and prevention of lipid-associated disorders. DESCRIPTION: The GOLD.db http://gold.tugraz.at provides a reference for pathways and information about the relevant genes and proteins in an efficiently organized way. The main focus was to provide biological pathways with image maps and visual pathway information for lipid metabolism and obesity-related research. This database provides also the possibility to map gene expression data individually to each pathway. Gene expression at different experimental conditions can be viewed sequentially in context of the pathway. Related large scale gene expression data sets were provided and can be searched for specific genes to integrate information regarding their expression levels in different studies and conditions. Analytic and data mining tools, reagents, protocols, references, and links to relevant genomic resources were included in the database. Finally, the usability of the database was demonstrated using an example about the regulation of Pten mRNA during adipocyte differentiation in the context of relevant pathways. CONCLUSIONS: The GOLD.db will be a valuable tool that allow researchers to efficiently analyze patterns of gene expression and to display them in a variety of useful and informative ways, allowing outside researchers to perform queries pertaining to gene expression results in the context of biological processes and pathways.

Adipocytes↗

PubMed2003

Client-server environment for high-performance gene expression data analysis.

SUMMARY: We have developed a platform independent, flexible and scalable Java environment for high-performance large-scale gene expression data analysis, which integrates various computational intensive hierarchical and non-hierarchical clustering algorithms. The environment includes a powerful client for data preparation and results visualization, an application server for computation and an additional administration tool. The package is available free of charge for academic and non-profit institutions.

Computing Methodologies↗