Copy Number Alterations with Prognostic Potential in Clear Cell Renal Cell Carcinoma.

OBJECTIVES: To detect chromosomal aberrations in a genome-wide manner with potential value for prognosis in groups of patients with different histopathological grading in clear cell renal carcinoma (ccRCC). MATERIAL AND METHODS: We performed a copy number alteration analysis using the Affymetrix platform and SNP 6.0 mapping arrays with samples from 48 ccRCC-patients. The data analysis was done using 3 different Software Platforms: Affymetrix Genotyping Console (version 4.1.3.840) and 2 open-source packages for validation: PennCNV and PICNIC. RESULTS: Consistent changes were found to divide the tumors into 4 groups: first group showed typical losses on 3p, second group losses on 3p plus gains on 5q, third group gains on chromosome 7 plus losses on chromosome 8; fourth group did not show any major changes. We selected the affected genes with the highest consistency and identified 13 different genes mapping in the SNP 6.0 results and Kyoto Encyclopedia of Genes and Genomes. Remarkable for further consideration were the phosphatidylinositol 3-kinase pathway, BRAF, MET, EGLN1; growth factors, for example, HGF, PGF and TGFB2. CONCLUSION: A multimodal approach with a well-defined workflow for detecting genomic aberrations by using array technologies and comparing the findings with different comprehensive databases may provide insights into functional tumor processes and help to identify potential new targets for more individualized future treatment.

miRNA expression profiles determined in maternal sera of patients with HELLP syndrome.

OBJECTIVE: Syndrome of hemolysis, elevated liver enzymes and low platelets (HELLP) represents a distinct subgroup of severe preeclampsia. The aim of our study was to identify differentially expressed miRNAs in sera of patients with HELLP syndrome in comparison to unaffected controls. STUDY DESIGN: Blood samples were obtained from patients with manifest HELLP syndrome and matched unaffected controls. The expression of 754 mature miRNAs was assessed using the TaqMan Array format (n = 12). Results of seven differentially expressed miRNAs were further validated by single quantitative real-time polymerase chain reaction (qPCR) assays. RESULTS: Serum miRNA analysis allowed detection of maternal and fetal miRNAs. Distinct miRNA expressions were confirmed for miR-122, miR-758 and miR-133a represented by a median up-regulation ≥ two-fold in the HELLP group. The liver specific miR-122 was 11.5-fold increased with an area under curve (AUC) of 0.82 in the receiver operating characteristic (ROC) analysis. Cluster analyses of our data uncovered subgroups of HELLP patients were associated with clinical subtypes and differences in organ manifestation. CONCLUSION: In our proof of principle study, we demonstrated that patients with HELLP syndrome showed alterations of serum miRNA expression patterns. Data analysis goes along with the hypothesis that HELLP syndrome is regarded to be a heterogeneous disease.

Toponostics of invasive ductal breast carcinoma: combination of spatial protein expression imaging and quantitative proteome signature analysis.

Due to enormous advances in quantitative proteomics and in immunohistochemistry (pathology), the two research areas have now reached the state to be successfully interwoven in order to tackle challenges in toponostics and to open tumor-targeted systems pathology approaches. In this study the differential expressions of candidate proteins nucleophosmin, nucleoside diphosphate kinase A/B (NDKA/B), osteoinducive factor (mimecan), and pyru-vate kinase M2 from a quantitative proteome signature for invasive ductal breast cancer were determined by immunohistochemistry on 53 tissue slices from formalin-fixed and paraffin-embedded tumor and control tissue samples from ten patients and fourteen controls. In addition, 87 images from the Human Protein Atlas representing seven tumor and nine normal breast tissue samples were investigated by computer-assisted semi-quantitative density measurements on nucleophosmin, nucleoside diphosphate kinase A/B (NDKA/B), osteoinducive factor (mimecan), pyruvate kinase M2, glyceraldehyde-3-phosphate dehydro-genase (GAP-DH), and mimecan (osteoinductive factor). Both IHC data sets match well to each other and support the quantitative proteome analysis data. Determining spatial distribution of signature protein expressions by protein imaging on morphologically intact tissue samples at the sub-cellular level and, hence, keeping all topological information, presents an added value to quantitative proteome data. Such comprehensive data sets are needed for both, pathway analyses and for "next generation clinical diagnostics" approaches.