Biomedical subjects

Felix Kokocinski

Publications and source records attributed to Felix Kokocinski.

9 recordsLinked to original sources

PubMed2005

Genomic and protein expression profiling identifies CDK6 as novel independent prognostic marker in medulloblastoma.

PURPOSE: Medulloblastoma is the most common malignant brain tumor in children. Despite multimodal aggressive treatment, nearly half of the patients die as a result of this tumor. Identification of molecular markers for prognosis and development of novel pathogenesis-based therapies depends crucially on a better understanding of medulloblastoma pathomechanisms. PATIENTS AND METHODS: We performed genome-wide analysis of DNA copy number imbalances in 47 medulloblastomas using comparative genomic hybridization to large insert DNA microarrays (matrix-CGH). The expression of selected candidate genes identified by matrix-CGH was analyzed immunohistochemically on tissue microarrays representing medulloblastomas from 189 clinically well-documented patients. To identify novel prognostic markers, genomic findings and protein expression data were correlated to patient survival. RESULTS: Matrix-CGH analysis revealed frequent DNA copy number alterations of several novel candidate regions. Among these, gains at 17q23.2-qter (P < .01) and losses at 17p13.1 to 17p13.3 (P = .04) were significantly correlated to poor prognosis. Within 17q23.2-qter and 7q21.2, two of the most frequently gained chromosomal regions, confined amplicons were identified that contained the PPM1D and CDK6 genes, respectively. Immunohistochemistry revealed strong expression of PPM1D in 148 (88%) of 168 and CDK6 in 50 (30%) of 169 medulloblastomas. Overexpression of CDK6 correlated significantly with poor prognosis (P < .01) and represented an independent prognostic marker of overall survival on multivariate analysis (P = .02). CONCLUSION: We identified CDK6 as a novel molecular marker that can be determined by immunohistochemistry on routinely processed tissue specimens and may facilitate the prognostic assessment of medulloblastoma patients. Furthermore, increased protein-levels of PPM1D and CDK6 may link the TP53 and RB1 tumor suppressor pathways to medulloblastoma pathomechanisms.

Biomarkers, Tumor↗

PubMed2005

FACT--a framework for the functional interpretation of high-throughput experiments.

BACKGROUND: Interpreting the results of high-throughput experiments, such as those obtained from DNA-microarrays, is an often time-consuming task due to the high number of data-points that need to be analyzed in parallel. It is usually a matter of extensive testing and unknown beforehand, which of the possible approaches for the functional analysis will be the most informative. RESULTS: To address this problem, we have developed the Flexible Annotation and Correlation Tool (FACT). FACT allows for detection of important patterns in large data sets by simplifying the integration of heterogeneous data sources and the subsequent application of different algorithms for statistical evaluation or visualization of the annotated data. The system is constantly extended to include additional annotation data and comparison methods. CONCLUSION: FACT serves as a highly flexible framework for the explorative analysis of large genomic and proteomic result sets. The program can be used online; open source code and supplementary information are available at http://www.factweb.de.

Algorithms↗

PubMed2005

Microarray-based gene expression profiling of benign, atypical and anaplastic meningiomas identifies novel genes associated with meningioma progression.

To identify gene expression profiles associated with human meningiomas of different World Health Organization (WHO) malignancy grades, we analyzed 30 tumors (13 benign meningiomas, WHO grade I; 12 atypical meningiomas, WHO grade II; 5 anaplastic meningiomas, WHO grade III) for the expression of 2,600 genes using cDNA-microarray technology. Receiver operator curve (ROC) analysis with a cutoff value of 45% selection probability identified 37 genes with decreased and 27 genes with increased expression in atypical and anaplastic meningiomas, compared to benign meningiomas. Supervised classification of the tumors did not reveal specific expression patterns representative of each WHO grade. However, anaplastic meningiomas could be distinguished from benign meningiomas by differential expression of a distinct set of genes, including several ones associated with cell cycle regulation and proliferation. Investigation of potential correlations between microarray expression data and genomic aberrations, detected by comparative genomic hybridization (CGH), demonstrated that losses on chromosomes 10 and 14 were associated with distinct expression profiles, including increased expression of several genes related to the insulin-like growth factor (IGF) (IGF2, IGFBP3 and AKT3) or wingless (WNT) (CTNNB1, CDK5R1, ENC1 and CCND1) pathways. Taken together, our microarray-based expression profiling revealed interesting novel candidate genes and pathways that may contribute to meningioma progression.

Chromosome Mapping↗

PubMed2005

Distinct gene expression patterns associated with FLT3- and NRAS-activating mutations in acute myeloid leukemia with normal karyotype.

In acute myeloid leukemia (AML), constitutive activation of the FLT3 receptor tyrosine kinase, either by internal tandem duplications (FLT3-ITD) of the juxtamembrane region or by point mutations in the second tyrosine kinase domain (FLT3-TKD), as well as point mutations of the NRAS gene (NRAS-PM) are among the most frequent somatic gene mutations. To elucidate whether these mutations cause aberrant signal transduction in AML, we used gene expression profiling in a series of 110 newly diagnosed AML patients with normal karyotype. The different algorithms used for data analysis revealed highly concordant sets of genes, indicating that the identified gene signatures are specific for each analysed subgroup. Whereas samples with FLT3-ITD and FLT3-TKD could be separated with up to 100% accuracy, this did not apply for NRAS-PM and wild-type samples, suggesting that only FLT3-ITD and FLT3-TKD are associated with an apparent signature in AML. The set of discriminating genes included several known genes, which are involved in cell cycle control (CDC14A, WEE1), gene transcription (HOXB5, FOXA1), and signal transduction (SMG1). In conclusion, we showed that unique gene expression patterns can be correlated with FLT3-ITD and FLT3-TKD. This might lead to the identification of further pathogenetic relevant candidate genes particularly in AML with normal karyotype.

Gene Expression Regulation, Neoplastic↗

PubMed2004

Identification of novel AP-1 target genes in fibroblasts regulated during cutaneous wound healing.

Mesenchymal-epithelial interactions are increasingly considered to be of vital importance for epithelial homeostasis and regeneration. In skin, the transcription factor AP-1 was shown to be critically involved in the communication between keratinocytes and dermal fibroblasts. After skin injury, the release of IL-1 from keratinocytes induces the activity of the AP-1 subunits c-Jun and JunB in fibroblasts leading to a global change in gene expression. To identify AP-1 target genes in fibroblasts, which are involved in the process of cutaneous repair, we performed gene expression profiling of wild-type, c-jun- and junB-deficient fibroblasts in response to IL-1, mimicking the initial phase of wound healing. Using a 15K cDNA collection, over 1000 genes were found to be Jun-dependent and additional 300 clones showed IL-1 responsiveness. Combinatorial evaluation allowed for the dissection of the specific contribution of either AP-1 subunit to gene regulation. Besides previously identified genes that are involved in cutaneous repair, we have identified novel genes regulated during wound healing in vivo and showed their expression by fibroblasts on wound sections. The identification of novel Jun target genes should provide a basis for understanding the molecular mechanisms underlying mesenchymal-epithelial interactions and the critical contribution of AP-1 to tissue homeostasis and repair.

Animals↗

PubMed2004

Microarray-based screening for molecular markers in medulloblastoma revealed STK15 as independent predictor for survival.

Medulloblastoma, a primitive neuroectodermal tumor of the cerebellum, is one of the most common central nervous system malignancies of childhood. Despite aggressive multimodal therapy, including surgery, irradiation, and chemotherapy, 5-year survival rates have only approached 50-60%. To identify potential candidate genes that predict for overall survival (OS), we performed a gene expression profiling analysis in 35 newly diagnosed medulloblastoma neoplasms. Subsequently, the nine most promising candidate genes were analyzed by immunohistochemistry and fluorescence in situ hybridization on tumor tissue microarrays representing a series of 180 tumors. We found 54 genes in which expression levels predicted for unfavorable survival in medulloblastoma. In line with the gene expression profiling analysis, a positive staining for STK15 (P = 0.0006), stathmin 1 (P = 0.001), and cyclin D1 (P = 0.03) was associated with an unfavorable OS, whereas cyclin B1, DAXX, Ki-67, MYC, NRAS, and p53 showed no statistical significant effect. In comparison to clinically defined parameters such as gender, age, metastatic stage, extent of tumor resection, application of chemotherapy, and tumor grade, positive staining for STK15 was identified as an independent prognostic factor for OS (P = 0.026). Moreover, additional gene copy numbers of MYC (P = 0.003) and STK15 (P = 0.05) predicted for poor survival. The combination of gene expression profiling with tissue microarray experiments allowed the identification of a series of candidate genes that predicts for survival in medulloblastoma. Of the results highlighted by the various data analysis procedures, genes associated with cell proliferation (cyclin D1), transcription (MYC), and especially mitosis (stathmin 1, STK15) appear particularly intriguing with respect to medulloblastoma pathomechanism.

Adolescent↗

PubMed2004

Gene expression patterns in acute myeloid leukemia correlate with centrosome aberrations and numerical chromosome changes.

Centrosomes, which mediate accurate chromosome segregation during mitosis, undergo duplication precisely once per cell division at the G1/S boundary. Recently, we described centrosome aberrations as a possible cause of aneuploidy in acute myeloid leukemia (AML) and found a correlation of the percentage of cells carrying abnormal centrosomes to their cytogenetic risk profile. To elucidate the molecular events responsible for the development of centrosome aberrations in AML, tumor RNA of 29 AML samples was hybridized to cDNA microarrays. The microarrays comprised some 2800 different genes with relevance to hematopoiesis, tumorigenesis and mitosis and included a set of 359 centrosome-associated genes. We identified two gene expression signatures, which allowed an accurate classification according to the extent of centrosome aberrations and the ploidy status in 28 of 29 patients each. Specifically, 18 genes were present in both signatures, including genes that code for cell cycle regulatory proteins (cyclin A2, cyclin D3, cyclin H, CDK6, p18INK4c, p21Cip1, PAK1) and centrosome-associated proteins (pericentrin, alpha2-tubulin, NUMA1, TUBGCP2, PRKAR2A). In conclusion, the high expression of centrosome-associated genes matches the description of centrosome aberrations in several tumor types. Moreover, in AML the identification of G1/S-phase stimulatory genes suggests that one mechanism of aneuploidy induction might be the deregulation of centrosome replication at the G1/S boundary.

Aneuploidy↗

PubMed2003

QuickLIMS: facilitating the data management for DNA-microarray fabrication.

SUMMARY: QuickLIMS is a Microsoft Access-based laboratory information and management system, capable of processing all information for microarray production. The program's operational flow is protocol-based, dynamically adapting to changes of the process. It interacts with the laboratory robot and with other database systems over the network, and it represents a complete solution for the management of the entire manufacturing process. AVAILABILITY AND SUPPLEMENTARY INFORMATION: http://www.dkfz-heidelberg.de/kompl_genome/Other/QuickLims/index.html

Computer Communication Networks↗

PubMed2002

Automated screening for genomic imbalances using matrix-based comparative genomic hybridization.

Genome-wide screening for chromosomal imbalances using comparative genomic hybridization (CGH) revealed a wealth of data on previously unrecognized tumor-specific genomic alterations. CGH to microarrays of DNA, an approach termed matrix-CGH, allows detection of genomic imbalances at a much higher resolution. We show that matrix CGH is also feasible from small tissue samples requiring universal amplification of genomic DNA. Because widespread application of matrix-CGH experiments using large numbers of DNA targets demands a high degree of automation, we have developed a protocol for a fully automated procedure. The use of specialized instrumentation for the generation of DNA chips, their hybridization, scanning, and evaluation required numerous alterations and modifications of the initial protocol. We here present the elaboration and testing of automated matrix-CGH. A chip consisting of 188 different genomic DNA fragments, cloned in bacterial artificial chromosome (BAC) or P1-derived artificial chromosome (PAC) vectors and immobilized in replicas of 10, was used to assess the performance of the automated protocol in determining the gene dosage variations in tumor cell lines COLO320-HSR, HL60, and NGP. Although ratios of matrix-CGH were highly concordant with results of chromosomal CGH (85%), the dynamic range of the matrix-CGH ratios was highly superior. Investigation of the two amplicons on 8q24 in COLO320-HSR and HL60, containing the MYC gene, revealed a homogeneous amplicon in COLO320-HSR but a heterogeneous amplification pattern in HL60 cells. Although control clones for normalization of the signal ratios can be predicted in cases with defined chromosomal aberrations, in primary tumors such data are often not available, requiring alternative normalization algorithms. Testing such algorithms in a primary high-grade B-cell lymphoma, we show the feasibility of this approach. With the matrix-CGH protocol presented here, robust and reliable detection of genomic gains and losses is accomplished in an automated fashion, which provides the basis for widespread application in tumor and clinical genetics.

Chromosome Aberrations↗