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Ferdinand von Eggeling

Publications and source records attributed to Ferdinand von Eggeling.

At least 19 recordsLinked to original sources

Identification of specific protein markers in microdissected hepatocellular carcinoma.

At present, the molecular mechanisms of hepatocellular carcinogenesis are not well-understood, and hepatocellular carcinoma (HCC) stays one of the most frequent and high-risk metastatic visceral neoplasms worldwide. For the identification of tumor-relevant proteins, we analyzed microdissected cells from nontumorous liver tissue (n = 28) and tissue derived from hepatic tumor center (n = 25), as well as tumor margin (n = 23). We unequivocally identified 53 proteins from hepatic tumor tissues by peptide fingerprint mapping and SELDI mass spectrometry that were separated using two-dimensional gel electrophoresis. Among a number of signals that were detected as significantly different in the protein profiling analysis, we identified for the first time ferritin light subunit (FLS) and adenylate kinase 3 alpha-like 1 (AK3), showing decreased expressions in hepatic tumor, as well as biliverdin reductase B (BVRB) that was upregulated in HCC. The use of ProteinChip technology in combination with tissue microdissection gives insight of the complex changes occurring at the protein level in hepatocellular cancer associated with tumor development and progression and resulted in three new potential diagnostically useful markers.

Biomarkers↗

The prognostic relevance of p16 inactivation in head and neck cancer.

The inactivation of the tumor suppressor gene p16 plays an important role in the development of malignant tumors. p16 loss can result from point mutations, loss of heterozygosity (LOH) or methylation of the promoter region. A total of 67 samples of tumor tissue from squamous cell carcinoma of the oral cavity, the pharynx and the larynx were analyzed for an inactivation of p16. The results of the molecular-biological investigations were correlated with the known clinical prognostic parameters after a follow-up period of approximately 3 years. Methylation of the promoter region and LOH were the main mechanisms of p16 inactivation. Point mutations presented as rare events. An inactivation of p16 did not have any statistical influence on tumor prognosis. Patients with a p16 gene inactivated by promoter methylation appeared to have a slightly lower tendency for local and regional recurrences. The inactivation of the tumor suppressor gene p16 plays a role in the carcinogenesis of head and neck cancer.

Carcinoma, Squamous Cell↗

Is there a higher incidence of maternal uniparental disomy 14 [upd(14)mat]? Detection of 10 new patients by methylation-specific PCR.

Maternal uniparental disomy for chromosome 14 [upd(14)mat] is associated with a characteristic phenotype including pre- and postnatal growth retardation, muscular hypotonia, feeding problems, motor delay, small hands and feet, precocious puberty and truncal obesity. Patients with upd(14)mat show features overlapping with Prader-Willi syndrome (PWS) and are probably underdiagnosed. Maternal upd(14) is frequently described in carriers of a Robertsonian translocation involving chromosome 14, but is also found in patients with a normal karyotype. Based on the above mentioned criteria we have identified six patients with upd(14)mat including two patients with a normal karyotype, one patient with a de novo Robertsonian translocation (14;21), one patient with a familial Robertsonian translocation (13;14) and two patients with a marker chromosome. In addition, we analyzed a cohort of 33 patients with low birth weight, feeding difficulties and consecutive obesity in whom PWS had been excluded by methylation analysis of SNRPN. In four of these patients (12%) we detected upd(14)mat. For rapid testing of upd(14)mat we analyzed the methylation status of the imprinted MEG3 locus. In conclusion, we recommend considering upd(14)mat in patients with low birth weight, growth retardation, neonatal feeding problems, muscular hypotonia, motor delay, precocious puberty and truncal obesity as well as in patients with a PWS like phenotype presenting with low birth weight, feeding difficulties and obesity.

Adolescent↗

Convergence of the proteomic pattern in cancer.

MOTIVATION: On the histological level the differentiation of normal epithelial tissues is well known. The phenomenon of dedifferentiation, which occurs as cells develop towards malignancy is also well described. To identify an epithelial tumor-specific proteomic profile as well as to measure the proximities between we used data from tumor tissue and adjacent normal tissue microdissected from head and neck and colon cancer samples which were analyzed using ProteinChip technology and performed a bioinformatic meta-analysis on the resulting four complex datasets. RESULTS: All four groups could be identified based on their proteomic signatures and the tumor tissues were found to be more similar to one another than to the normal epithelial tissue from which they progressed. This study shows at the proteomic level that changes in the histological features of tumors as compared to the tissues from which they arise are reflected in the convergence of proteomic pattern during the development to cancer.

Cell Differentiation↗

Protein profiles of bronchoalveolar lavage fluid from patients with pulmonary sarcoidosis.

BACKGROUND: Pulmonary sarcoidosis is a multisystem granulomatous disease with various clinical phenotypes. So far, there has been little information on protein patterns (PPs) of bronchoalveolar lavage fluid (BALF) from patients with sarcoidosis and no data are available on PPs in clinical disease subtypes. OBJECTIVES: To investigate the PP of BALF from patients with pulmonary sarcoidosis, to evaluate whether PPs reflect disease course as assessed by chest X-ray (CXR), and to compare PPs between patients with/without Löfgren's syndrome. METHODS: Surface-enhanced laser desorption/ionization-time-of-flight mass spectroscopy was applied to investigate PPs in unconcentrated BALF from 65 patients (CXR stage I, n = 32; CXR stage II, n = 22, CXR stage III, n = 11) and 23 healthy control subjects. The Mann-Whitney U test was used to detect differentially expressed protein peaks. After reversed-phase fractionation, peptide fingerprint mapping and immunodepletion were used to identify deregulated (up-regulated or down-regulated) proteins. RESULTS: Forty differentially expressed protein entities (2.75-185.62 kD) were detected in patients with pulmonary sarcoidosis versus control subjects (p < 0.05). Whereas 13 peaks (33%) were present across all CXR stages, 27 (67%) were specific for particular CXR stages. Comparison of PPs between CXR stage I patients with or without Löfgren's syndrome revealed 25 differentially expressed peaks. The total number of deregulated peaks and also of those associated with sarcoidosis as a whole were markedly lower in patients with Löfgren's syndrome in comparison with other sarcoid phenotypes. Human serum albumin, alpha1-antitrypsin, and protocadherin-2 precursor were identified from sarcoidosis-associated PP. CONCLUSION: Surface-enhanced laser desorption/ionization-time-of-flight mass spectroscopy enables determination of protein patterns in sarcoid BALF and allows detection of protein patterns linked to a particular disease course.

Adult↗

Detection and identification of heat shock protein 10 as a biomarker in colorectal cancer by protein profiling.

Although colorectal cancer is one of the best-characterized tumors with regard to the multistep progression, it remains one of the most frequent and deadly neoplasms. For a better understanding of the molecular mechanisms behind the process of tumorigenesis and tumor progression, changes in protein expression between microdissected normal and tumorous colonic epithelium were analyzed. Cryostat sections from colorectal tumors, adenoma tissue, and adjacent normal mucosa were laser-microdissected and analyzed using ProteinChip Arrays. The derived MS profiles exhibited numerous statistical differences. One peak showing significantly high expression in the tumor was purified by reverse-phase chromatography and SDS-PAGE. The protein band of interest was passively eluted from the gel and identified as heat shock protein 10 (HSP 10) by tryptic digestion, peptide mapping, and MS/MS analysis. This tumor marker was further characterized by immunohistochemistry. Analysis of HSP 10-positive tissue by ProteinChip technology confirmed the identity of this protein. This work demonstrates that biomarker in colorectal cancer can be detected, identified, and assessed by a proteomic approach comprising tissue microdissection, protein profiling, and immunological techniques. In our experience, histological defined microdissected tissue areas should be used to identify proteins that might be responsible for tumorigenesis.

Biomarkers, Tumor↗

Prediction of renal allograft rejection by urinary protein analysis using ProteinChip Arrays (surface-enhanced laser desorption/ionization time-of-flight mass spectrometry).

OBJECTIVES: To develop a noninvasive method for the detection of renal transplant rejection using ProteinChip Arrays (surface-enhanced laser desorption/ionization time-of-flight mass spectrometry). METHODS: A total of 23 urine samples were collected from 13 patients showing biopsy-proven renal allograft rejection and from 10 patients without histologic signs of rejection. All 23 patients had clinical symptoms and signs of acute allograft rejection and underwent renal biopsy. Samples were centrifuged, and supernatants were directly spotted onto the ProteinChip arrays with different chromatographic surfaces. The obtained spectra in a range from 2 to 200 kDa were subjected to bioinformatic analysis using the method of Fuzzy c-means, followed by the establishment of rule bases and evaluation using the relevance index according to Kiendl. RESULTS: Several protein peaks were identified allowing differentiation between rejection and no rejection. Using two different ProteinChip surfaces, we found two biomarkers at 25.71 kDa and 28.13 kDa that gave a diagnostic sensitivity of 90% and 93% and a specificity of 80% (SAX2) and 85% (CM10), respectively. CONCLUSIONS: Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry appears to be a promising new diagnostic tool for distinguishing renal transplant patients with no rejection from those with acute rejection.

Graft Rejection↗

Immune escape for renal cell carcinoma: CD70 mediates apoptosis in lymphocytes.

Tumors can escape immune recognition and destruction through the induction of apoptosis in lymphocytes. Although renal cell carcinoma (RCC) is able to prevent immune recognition, only a few genes (such as FasL) that are relevant for RCC immune escape have been identified so far. We have previously shown that some apoptosis-inducing genes are overexpressed in RCC. We hypothesized that these genes could be part of the immune-escape strategy of these tumors. Here we report that CD70, a cytokine overexpressed in RCC, promotes lymphocyte apoptosis through interaction with its receptor CD27 and with the intracellular receptor-binding protein SIVA. Apoptosis increased after cocultivating lymphocytes with the RCC cell lines A498 and CAKI2. The addition of recombinant soluble CD70 to both native lymphocytes and a T-cell cell line resulted in increased lymphocyte apoptosis as well. Furthermore, induced apoptosis could be partially blocked with anti-CD27 and anti-CD70 antibodies. Our results strongly indicate a role for CD70 and CD27 receptor in lymphocyte apoptosis within the tumor environment. Apoptosis mediated by exposure to the CD70 secreted by tumor cells may contribute to the failure of RCC patients to develop an effective lymphocyte-mediated antitumor response.

Apoptosis↗

Comparative transcriptional and functional profiling of clear cell and papillary renal cell carcinoma.

Renal cell carcinoma (RCC) is known to effectively prevent immune recognition. However, little is known about the mechanisms that underlie this phenomenon. Thus, the identification of immunogenic molecules associated with RCC and the elucidation of the corresponding signaling pathways are crucial to the development of effective treatments. We performed transcriptional and functional profiling with cDNA microarrays (1070 cDNA probes) on a total of 17 RCCs, 11 clear cell and 6 papillary, and on corresponding normal tissue. Samples were clustered based on their expression profiles. We found a total of 45 genes to be regulated equally by both tumor types compared to the normal tissue. A set of 13 differentially expressed genes was identified between the examined tumor subtypes. Functional analysis was performed for both gene sets and showed a significant enrichment of cell surface genes regulated in both tumor subtypes. Within these we found five surface marker genes to be upregulated (TNFRSF10B, CD70, TNFR1, PDGFRB, and BAFF) which are involved in immune responses via the regulation of lymphocytes and can also induce apoptosis. Their overexpression in both tumor subtypes suggests a possible involvement in the immune escape strategies of RCC. The combination of transcriptional and functional profiling revealed potential target molecules for novel therapy strategies that must be studied in more detail.

Carcinoma, Papillary↗

Identification of HNP3 as a tumour marker in CD4+ and CD4- lymphocytes of patients with cutaneous T-cell lymphoma.

Cutaneous T-cell lymphomas (CTCL) are characterized by malignant proliferation of skin homing T-cells. Although prognosis is generally good, reliable markers are needed to identify patients at risk for a more aggressive course. ProteinChip (SELDI) technology was used as a tool for the discovery of protein patterns in lymphocytes from patients with CTCL (n=25) and unaffected controls (n=25). Lymphocytes were separated in CD4+ and CD4- fractions by magnetic cell sorting (MACS). Each whole protein extract was analysed by ProteinChip technology. The resulting protein profiles were submitted for bioinformatic analysis including a clustering algorithm, a rule extraction, a rating and a rule-base construction step. For the generated combined rule base for the CD4- cell fraction, both the sensitivity and specificity for the prediction of CTCL reached 96%, while for the CD4+ fraction they were 92% and 84%, respectively, for sensitivity and specificity. The most significant peak at 3489Da could be identified as HNP3, an alpha-defensin, by immunocapturing. These results open up both the possibility for the use of this protein signature, especially HNP3, to more effectively monitor and screen CTCL, and the avenue to identify the other relevant peaks for a better understanding of the development of this tumour.

Biomarkers, Tumor↗

Identification of sex hormone-binding globulin in the human hypothalamus.

Gonadal steroids are known to influence hypothalamic functions through both genomic and non-genomic pathways. Sex hormone-binding globulin (SHBG) may act by a non-genomic mechanism independent of classical steroid receptors. Here we describe the immunocytochemical mapping of SHBG-containing neurons and nerve fibers in the human hypothalamus and infundibulum. Mass spectrometry and Western blot analysis were also used to characterize the biochemical characteristics of SHBG in the hypothalamus and cerebrospinal fluid (CSF) of humans. SHBG-immunoreactive neurons were observed in the supraoptic nucleus, the suprachiasmatic nucleus, the bed nucleus of the stria terminalis, paraventricular nucleus, arcuate nucleus, the perifornical region and the medial preoptic area in human brains. There were SHBG-immunoreactive axons in the median eminence and the infundibulum. A partial colocalization with oxytocin could be observed in the posterior pituitary lobe in consecutive semithin sections. We also found strong immunoreactivity for SHBG in epithelial cells of the choroid plexus and in a portion of the ependymal cells lining the third ventricle. Mass spectrometry showed that affinity-purified SHBG from the hypothalamus and choroid plexus is structurally similar to the SHBG identified in the CSF. The multiple localizations of SHBG suggest neurohypophyseal and neuroendocrine functions. The biochemical data suggest that CSF SHBG is of brain rather than blood origin.

Aged↗

Proteohistography--direct analysis of tissue with high sensitivity and high spatial resolution using ProteinChip technology.

On the proteomic level, all tissues, tissue constituents, or even single cells are heterogeneous, but the biological relevance of this cannot be adequately investigated with any currently available technique. The analysis of proteins of small tissue areas by any proteomic approach is limited by the number of required cells. Increasing the number of cells only serves to lower the spatial resolution of expressed proteins. To enhance sensitivity and spatial resolution we developed Proteohistography. Laser microdissection was used to mark special areas of interest on tissue sections attached to glass slides. These areas were positioned under microscopic control directly on an affinity chromatographic ProteinChip Array so that cells were lysed and their released proteins bound on a spatially defined point. The ProteinChip System, surface enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS), allows the laser to be steered to up to 215 distinct positions across the surface of the spot, enabling a high spatial resolution of measured protein profiles for the analyzed tissue area. Protein profiles of the single positions were visually plotted over the used tissue section to visualize distribution proteohistologically. Results show that the spatial distribution of detectable proteins could be used as a Proteohistogram for a given tissue area. Consequently, this procedure can provide additional information to both a matrix-assisted laser desorption/ionization (MALDI)-based approach and immunohistochemistry, as it is more sensitive, highly quantitative, and no specific antibody is needed. Hence, proteomic heterogeneity can be visualized even if proteins are not known or identified.

Carcinoma, Hepatocellular↗

Prader-Willi syndrome with a karyotype 47,XY,+min(15)(pter->q11.1:) and maternal UPD 15--case report plus review of similar cases.

Prader-Willi (PWS) and Angelman (AS) are syndromes of developmental impairment that can result either from a 15q11-q13 deletion, paternal uniparental disomy (UPD), imprinting, or UBE3A mutations. A small cytogenetic subset of PWS and AS patients are carriers of a so-called small supernumerary marker chromosome (sSMC). Here, we report on an previously unreported PWS case with a karyotype 47,XY,+min(15)(pter->q11.1:) plus maternal heterodisomic UPD 15. A review of the literature revealed, that for both, PWS and AS patients, cases with (1) a sSMC plus microdeletion of the PWS/AS critical region, (2) inv dup(15) plus uniparental disomy (UPD) 15 and (3) cases without exclusion of a microdeletion an UBE3A mutation or UPD are described. The present case as well as the review of similar cases provides further evidence for the necessity to test UPD in prenatal cases with a de novo sSMC and in postnatal cases with otherwise unexplainable clinical phenotype.

Angelman Syndrome↗

Identification of CD70 as a diagnostic biomarker for clear cell renal cell carcinoma by gene expression profiling, real-time RT-PCR and immunohistochemistry.

The underlying molecular mechanisms of renal cell carcinoma (RCC) are poorly understood and more reliable markers for early diagnosis are needed. Hence, alternative strategies for biomarker discovery with appropriate validation technologies have to be performed. To elucidate genesis and progression of RCC we used high parallel chip based gene expression profiling comparing normal and tumour tissues. We compared corresponding control and tumour tissue samples from 10 patients with clear cell RCC. We isolated RNA from histologically well characterised tissue sections and performed reverse transcription, labelling and linear RNA amplification. Samples were hybridised on microarrays containing 642 human cDNAs. Of the 352 differentially expressed genes found, CD70 and FRA2 were selected for further evaluation by real-time RT-PCR. The analysis all showed a high potential to discriminate between normal and tumour tissue. Moreover, increased CD70 mRNA expression in tumour cells could be correlated to its expression at the protein level. Immunohistochemistry (IHC) showed very strong expression of CD70 in all tumour samples but no expression in adjacent normal kidney tissue. With our combined approach we were able to identify CD70 as a new marker for RCC, which may be useful in the future for improved immunohistochemical diagnosis.

Antigens, CD↗

CD70: a new tumor specific biomarker for renal cell carcinoma.

PURPOSE: To date there have been no specific tumor markers available for the differential diagnosis of renal cell carcinoma (RCC). In an earlier study we identified high RNA expression of CD70 in clear cell RCC. CD70 is a type II transmembrane protein belonging to the tumor necrosis factor family. It represents the ligand for CD27, a glycosylated transmembrane protein of the tumor necrosis factor receptor family. To our knowledge the function of CD70 in solid tumors is not known. In the current study we analyzed CD70 protein expression in different RCC subtypes. MATERIALS AND METHODS: A total of 68 tumor samples of different histopathological subtypes were investigated by immunochemistry, including 41 clear cell, 19 papillary and 5 chromophobe RCCs, and 3 oncocytomas as well as their normal tissue counterparts. Immunochemistry was performed on frozen tissue samples using monoclonal antibody against CD70. RESULTS: None of the normal kidney tissues showed CD70 expression. In contrast, all clear cell RCCs expressed CD70 at a high level. Positive immunostaining was observed in 1 papillary (5%) and in 1 chromophobe (20%) RCC. Five papillary tumor samples (26%) showed focal staining in less than 5% of cells. All other samples were negative for CD70. CONCLUSIONS: Our study identified CD70 as a new specific tumor marker for clear cell RCC. This new marker can be used for differential diagnosis in cases of uncertain histological classification. The function of this protein in tumorigenesis and its use as a diagnostic marker in serum and urine or as a therapeutic tool must be investigated in further studies.

Adenocarcinoma, Clear Cell↗

Proteome analysis of maternal serum samples for trisomy 21 pregnancies using ProteinChip arrays and bioinformatics.

A surface-enhanced laser desorption/ionization time of flight (SELDI-TOF)-based ProteinChip System was used as a tool for rapid discovery and identification of protein patterns in serum that discriminate between trisomy 21 and unaffected pregnancies. We analyzed 24 serum samples from women carrying a trisomy 21 pregnancy and 32 with an unaffected pregnancy, ranging from 10.0 to 14.0 weeks of gestation. The resulting protein profiles were submitted to a clustering algorithm, a rule extraction, a rating, and a rule base construction step. For the generated combined rule base, the specificity and sensitivity for the prediction of a trisomy 21 pregnancy reach 97% and 91%, respectively.

Computational Biology↗

Identification of proteins from colorectal cancer tissue by two-dimensional gel electrophoresis and SELDI mass spectrometry.

We investigated protein profiles obtained from colorectal tumor tissue and adjacent normal mucosa to identify tumor specific changes. Protein extracts of biopsis were separated by two-dimensional gel electrophoresis and >40 low-molecular mass proteins were identified by peptide fingerprinting using surface-enhanced laser desoption/ionization mass spectrometry (SELDI-MS). Among these, PACAP protein, hnrnp A1, flavin reductase, calgizzarin, NDK B (NM23-H2), cyclophilin A and smooth muscle protein 22-alpha showed significantly differential abundancy in the analyzed specimens. In addition, immunohistochemical analysis of tissue distribution and subcellular localization of some of the differentially expressed proteins demonstrated alterations in subcellular protein distribution. Further investigations are in progress to assess whether these differentially expressed proteins are associated with tumor development and tumor progression.

Colorectal Neoplasms↗

A technical triade for proteomic identification and characterization of cancer biomarkers.

Biomarkers are needed to elucidate the biological background and to improve the detection of cancer. Therefore, we have analyzed laser-microdissected cryostat sections from head and neck tumors and adjacent mucosa on ProteinChip arrays. Two differentially expressed proteins (P = 3.34 x 10(-5) and 4.6 x 10(-5)) were isolated by two-dimensional gel electrophoresis and identified as S100A8 (calgranulin A) and S100A9 (calgranulin B) by in-gel proteolytic digestion, peptide mapping, tandem mass spectrometry analysis, and immunodepletion assay. The relevance of these single marker proteins was evaluated by immunohistochemistry. Positive tissue areas were reanalyzed on ProteinChip arrays to confirm the identity of these proteins. As a control, a peak with low P was identified as calgizzarin (S100A11) and characterized in the same way. This technical triade of tissue microdissection, ProteinChip technology, and immunohistochemistry opens up the possibility to find, identify, and characterize tumor relevant biomarkers, which will allow the movement toward the clonal heterogeneity of malignant tumors. Taking this approach, proteins were identified that might be responsible for invasion and metastasis.

Biomarkers, Tumor↗