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Reinhold Schäfer

Publications and source records attributed to Reinhold Schäfer.

18 recordsLinked to original sources
PubMed2006

Gene expression profiling of 30 cancer cell lines predicts resistance towards 11 anticancer drugs at clinically achieved concentrations.

Cancer patients with tumors of similar grading, staging and histogenesis can have markedly different treatment responses to different chemotherapy agents. So far, individual markers have failed to correctly predict resistance against anticancer agents. We tested 30 cancer cell lines for sensitivity to 5-fluorouracil, cisplatin, cyclophosphamide, doxorubicin, etoposide, methotrexate, mitomycin C, mitoxantrone, paclitaxel, topotecan and vinblastine at drug concentrations that can be systemically achieved in patients. The resistance index was determined to designate the cell lines as sensitive or resistant, and then, the subset of resistant vs. sensitive cell lines for each drug was compared. Gene expression signatures for all cell lines were obtained by interrogating Affymetrix U133A arrays. Prediction Analysis of Microarrays was applied for feature selection. An individual prediction profile for the resistance against each chemotherapy agent was constructed, containing 42-297 genes. The overall accuracy of the predictions in a leave-one-out cross validation was 86%. A list of the top 67 multidrug resistance candidate genes that were associated with the resistance against at least 4 anticancer agents was identified. Moreover, the differential expressions of 46 selected genes were also measured by quantitative RT-PCR using a TaqMan micro fluidic card system. As a single gene can be correlated with resistance against several agents, associations with resistance were detected all together for 76 genes and resistance phenotypes, respectively. This study focuses on the resistance at the in vivo concentrations, making future clinical cancer response prediction feasible. The TaqMan-validated gene expression patterns provide new gene candidates for multidrug resistance.

Antineoplastic Agents↗
PubMed2006

Effects of Ras signaling on gene expression analyzed by customized microarrays.

Many signal transduction processes converge on Ras proteins that serve as molecular switches to couple external stimuli with cytoplasmic and nuclear targets. Oncogenic mutations lock Ras proteins in their activated state. Cellular responses to permanent Ras activation such as the induction of neoplastic phenotypes are mediated by distinct transcriptional alterations. A number of studies have reported alterations of the genetic program because of short-term or long-term activation of Ras signaling pathways. However, a consistent pattern of Ras-related transcriptional alterations has not yet emerged, because currently available investigations were based on different methods for assessing mRNA expression profiles, on different types of cells, and on heterogeneous experimental conditions. Here we describe the "Ras signaling target array" (RASTA) representing approximately 300 Ras-responsive target genes. This customized oligonucleotide array is a universal tool for assessing transcriptional patterns of cells or tissues expressing oncogenic Ras genes, as well as upstream and downstream effectors. To validate the results obtained by array-based expression profiling, we have compared the data with those obtained by suppression subtractive hybridization and conventional expression analysis by Northern blotting. Target RNAs were prepared from preneoplastic rat ovarian surface epithelial cells (ROSE) and the KRAS-transformed derivative A2/5. By interrogating Ras signaling target arrays with mRNAs prepared from the same types of cells as hybridization target, we correctly recognized 85% of genes differentially expressed on conversion of normal ovarian epithelial cells to the Ras-transformed state.

Animals↗
PubMed2006

Analysis of gene expression profiles in melanoma cells with acquired resistance against antineoplastic drugs.

Resistance to various antineoplastic agents is common in the clinical management of malignant melanoma. The biological mechanisms conferring these different drug-resistant phenotypes are still unclear. To identify potential factors mediating drug resistance to melanoma cells, the mRNA expression profiles of the parental drug-sensitive human melanoma cell line MeWo and four derived drug-resistant sublines with acquired resistance against four commonly used drugs for melanoma treatment (cisplatin, etoposide, fotemustine and vindesine) were analysed. We investigated cDNA arrays with 43,000 cDNA clones ( approximately 30,000 unique genes) to study the expression patterns of these cell lines. We were able to simultaneously extract new candidate genes associated with drug resistance in malignant melanoma and to correlate the present findings with previously described resistance-associated genes. Using hierarchical clustering and analysing the overlap of genes with altered expression, we detected similarities between the expression signatures related to cisplatin and fotemustine resistance. The resistance against vindesine required a minimal set of changes in gene expression relative to the parental MeWo cell line. Our study provides new data that may be used to obtain further insight into the resistance characteristics of malignant melanoma.

Cell Line, Tumor↗
PubMed2005

Prediction of doxorubicin sensitivity in breast tumors based on gene expression profiles of drug-resistant cell lines correlates with patient survival.

Up to date clinical tests for predicting cancer chemotherapy response are not available and individual markers have shown little predictive value. We hypothesized that gene expression patterns attributable to chemotherapy-resistant cells can predict response and cancer prognosis. We contrasted the expression profiles of 13 different human tumor cell lines of gastric (EPG85-257), pancreatic (EPP85-181), colon (HT29) and breast (MCF7 and MDA-MB-231) origin and their counterparts resistant to the topoisomerase inhibitors daunorubicin, doxorubicin or mitoxantrone. We interrogated cDNA arrays with 43 000 cDNA clones ( approximately 30 000 unique genes) to study the expression pattern of these cell lines. We divided gene expression profiles into two sets: we compared the expression patterns of the daunorubicin/doxorubicin-resistant cell lines and the mitoxantrone-resistant cell lines independently to the parental cell lines. For identifying predictive genes, the Prediction Analysis for Mircorarrays algorithm was used. The analysis revealed 79 genes best correlated with doxorubicin resistance and 70 genes with mitoxantrone resistance. In an independent classification experiment, we applied our model of resistance for predicting the sensitivity of 44 previously characterized breast cancer samples. The patient group characterized by the gene expression profile similar to those of doxorubicin-sensitive cell lines exhibited longer survival (49.7+/-26.1 months, n=21, P=0.034) than the resistant group (32.9+/-18.7 months, n=23). The application of gene expression signatures derived from doxorubicin-resistant and -sensitive cell lines allowed to predict effectively clinical survival after doxorubicin monotherapy. Our approach demonstrates the significance of in vitro experiments in the development of new strategies for cancer response prediction.

Algorithms↗
PubMed2005

Ultrasensitization: switch-like regulation of cellular signaling by transcriptional induction.

Cellular signaling networks are subject to transcriptional and proteolytic regulation under both physiological and pathological conditions. For example, the expression of proteins subject to covalent modification by phosphorylation is known to be altered upon cellular differentiation or during carcinogenesis. However, it is unclear how moderate alterations in protein expression can bring about large changes in signal transmission as, for example, observed in the case of haploinsufficiency, where halving the expression of signaling proteins abrogates cellular function. By modeling a fundamental motif of signal transduction, the phosphorylation-dephosphorylation cycle, we show that minor alterations in the concentration of the protein subject to phosphorylation (or the phosphatase) can affect signal transmission in a highly ultrasensitive fashion. This "ultrasensitization" is strongly favored by substrate sequestration on the catalyzing enzymes, and can be observed with experimentally measured enzymatic rate constants. Furthermore, we show that coordinated transcription of multiple proteins (i.e., synexpression) within a protein kinase cascade results in even more pronounced all-or-none behavior with respect to signal transmission. Finally, we demonstrate that ultrasensitization can account for specificity and modularity in the regulation of cellular signal transduction. Ultrasensitization can result in all-or-none cell-fate decisions and in highly specific cellular regulation. Additionally, switch-like phenomena such as ultrasensitization are known to contribute to bistability, oscillations, noise reduction, and cellular heterogeneity.

Animals↗
PubMed2005

Suppression of the TIG3 tumor suppressor gene in human ovarian carcinomas is mediated via mitogen-activated kinase-dependent and -independent mechanisms.

The TIG3 gene is a retinoic acid inducible class II tumor suppressor gene downregulated in several human tumors and malignant cell lines. Diminished TIG3 expression correlates with decreased differentiation whereas forced expression of TIG3 suppresses oncogenic signaling pathways and subsequently induces differentiation or apoptosis in tumor cells. Analysis of TIG3 mRNA expression in a large set of cDNA pools derived from matched tumor and normal human tissues showed a significant downregulation of TIG3 in 29% of the cDNA samples obtained from ovarian carcinomas. Using in situ hybridization, we demonstrated expression of TIG3 in the epithelial lining of 7 normal ovaries but loss of TIG3 expression in 15/19 of human ovarian carcinoma tissues. In SKOV-3, CAOV-3 and ES-2 ovarian carcinoma cell lines, downregulation of TIG3 mRNA was reversible and dependent on an activated MEK-ERK signaling pathway. Re-expression of TIG3 mRNA in these cells upon specific interference with the MEK-pathway was correlated with growth inhibition of the cells. In OVCAR-3 and A27/80 ovarian carcinoma cells, TIG3 suppression is MEK-ERK independent, but expression could be reconstituted upon interferon gamma (IFNgamma) induction. Overexpression of TIG3 in A27/80 ovarian carcinoma cells significantly impaired cell growth and despite increased mRNA levels, TIG3 protein was hardly detectable. These results suggest that TIG3 is negatively regulated by an activated MEK-ERK signaling pathway. Further mechanisms must interfere with TIG3 expression that are independent of MEK and partially include interferon-responsive components.

Cell Line, Tumor↗
PubMed2005

HuSiDa--the human siRNA database: an open-access database for published functional siRNA sequences and technical details of efficient transfer into recipient cells.

Small interfering RNAs (siRNAs) have become a standard tool in functional genomics. Once incorporated into the RNA-induced silencing complex (RISC), siRNAs mediate the specific recognition of corresponding target mRNAs and their cleavage. However, only a small fraction of randomly chosen siRNA sequences is able to induce efficient gene silencing. In common laboratory practice, successful RNA interference experiments typically require both, the labour and cost-intensive identification of an active siRNA sequence and the optimization of target cell line-specific procedures for optimal siRNA delivery. To optimize the design and performance of siRNA experiments, we have established the human siRNA database (HuSiDa). The database provides sequences of published functional siRNA molecules targeting human genes and important technical details of the corresponding gene silencing experiments, including the mode of siRNA generation, recipient cell lines, transfection reagents and procedures and direct links to published references (PubMed). The database can be accessed at http://www.human-siRNA-database.net. We used the siRNA sequence information stored in the database for scrutinizing published sequence selection parameters for efficient gene silencing.

Base Sequence↗
PubMed2005

Systematic identification and molecular characterization of genes differentially expressed in breast and ovarian cancer.

The identification of novel disease-associated genes in gynaecological tumours has important implications for understanding the process of tumourigenesis and the development of novel treatment regimens. cDNA libraries from disease tissues may represent a valuable source to identify such genes. Recently, a bio-informatic procedure based on an 'electronic Northern' approach was established to screen expressed sequence tag (EST) libraries for genes differentially expressed in tumour and normal tissues, and identified 450 candidate genes differentially expressed in breast and ovarian cancer. In this report, the validation of an initial set of 40 candidate genes, which were selected due to their localization in chromosomal regions frequently altered in gynaecological tumours, is described. Differential expression of 29 of these genes, including three uncharacterized novel genes, was confirmed by applying cancer profiling arrays with 106 matched pairs of tumour/normal cDNAs and quantitative reverse transcription-polymerase chain reaction (RT-PCR) on 60 clinical specimens. The majority of these differentially expressed genes have not been described previously in the context of breast and ovarian cancer, and may constitute novel diagnostic markers for these tumour entities.

Breast Neoplasms↗
PubMed2004

Transcriptional basis of KRAS oncogene-mediated cellular transformation in ovarian epithelial cells.

To understand the relationship between oncogenic signaling and the reprogramming of gene expression, we performed transcriptional profiling in rat ovarian surface epithelial cells (ROSE), in which neoplastic transformation is driven by a mutated KRAS oncogene. We identified >200 genes whose expression was elevated or reduced following permanent KRAS expression. Deregulated KRAS-responsive genes encode transcriptional regulators, signaling effectors, proteases, extracellular matrix and adhesion proteins, transformation-suppressing proteins and negative growth regulators. Many of them have not been previously identified in cells expressing oncogenic RAS genes or in other well-studied models of oncogenic signaling. The number of critical genes related to the execution of anchorage-independent proliferation and epithelial-mesenchymal transition was narrowed down to 79 by selectively inhibiting the mitogen-activated protein kinase (MAPK/ERK) and phosphatidylinositol 3-kinase (PI3K) pathways. Blocking MAPK/ERK-signaling caused reversion to the normal epithelial phenotype in conjunction with the reversal of deregulated target transcription to pretransformation levels. In addition, silencing of the overexpressed transcriptional regulator Fra-1 by RNA interference resulted in growth reduction, suggesting that this factor partially contributes to, but is not sufficient for the proliferative capacity of KRAS-transformed epithelial cells.

Animals↗
PubMed2004

The PDZ-LIM protein RIL modulates actin stress fiber turnover and enhances the association of alpha-actinin with F-actin.

ALP, CLP-36 and RIL form the ALP subfamily of PDZ-LIM proteins. ALP has been implicated in sarcomere function in muscle cells in association with alpha-actinin. The closely related CLP-36 is predominantly expressed in nonmuscle cells, where it localizes to actin stress fibers also in association with alpha-actinin. Here we have studied the expression and functions of RIL originally identified as a gene downregulated in H-ras-transformed cells. RIL was mostly expressed in nonmuscle epithelial cells with a pattern distinct from that of CLP-36. RIL protein was found to localize to actin stress fibers in nonmuscle cells similarly to CLP-36. However, RIL expression led to partially abnormal actin filaments showing thick irregular stress fibers not seen with CLP-36. Furthermore, live cell imaging demonstrated altered stress fiber dynamics with rapid formation of new fibers and frequent collapse of thick irregular fibers in EGFP-RIL-expressing cells. These effects may be mediated through the association of RIL with alpha-actinin, as RIL was found to associate with alpha-actinin via its PDZ domain, and RIL enhanced the ability of alpha-actinin to cosediment with actin filaments. These results implicate the RIL PDZ-LIM protein as a regulator of actin stress fiber turnover.

Actinin↗
PubMed2004

Prediction of cis-regulatory elements of coregulated genes.

We present a computational pipeline to predict cis-regulatory elements composing results based on different algorithms: Clover, Cluster-Buster, an own implementation of human/rat/mouse sequence identity and our ITB algorithm. The procedure uses information from the human genome sequence, NCBI gene annotations, verified eukaryotic promoters (EPD), experimentally proven binding sites (Transfac) and homologies to mouse and rat (HomGL/HomoloGene). We test the approach on 18 upstream regions of experimentally verified AP-1 target genes. About a half of the known sites belong to high-scoring candidates. Three top-scoring elements are confirmed by Cluster-Buster and high homologies. The same analysis we applied to genes found to be up- or downregulated due to mutated RAS. We performed a detailed literature and computational search for promoter regions. Indications of overrepresented Elk-1 and AP-1 motifs are found via a comparison with shuffled sequences. In some promoters consistent predictions of clustered binding sites were obtained.

Animals↗
PubMed2003

Essential role of Raf in Ras transformation and deregulation of matrix metalloproteinase expression in ovarian epithelial cells.

Oncogenic Ras mediates its actions through activation of multiple downstream effector signaling cascades, which in turn regulate transcription factor activation and cause changes in gene expression. However, there exist striking cell type differences in effector pathways that are activated by Ras, in which effectors are sufficient or necessary to promote Ras oncogenesis, and in the gene targets of Ras transformation. Therefore, we evaluated the contribution of specific effectors in mediating H-Ras(12V) transformation of rat ovarian surface epithelial (ROSE) cells and up-regulation of matrix metalloproteinase (MMP) gene expression. First, we found that Raf activation alone was sufficient to partially reconstitute H-Ras(12V)-mediated morphological and growth transformation. However, Raf-independent signaling pathways are required for full Ras transformation of ROSE cells. Ras transformation did not cause activation of the phosphatidylinositol 3-kinase (PI3K) target, Akt, and PI3K inhibition did not reverse morphological transformation but did inhibit growth in soft agar, indicating a role for basal PI3K activity in anchorage-independent growth. Second, we determined that MMP-3 and MMP-10, but surprisingly not MMP-9, gene expression was up-regulated in Ras-transformed ROSE cells. Raf activation alone was fully sufficient and necessary for MMP transcriptional up-regulation. However, up-regulation of MMP-3 or MMP-10 gene expression alone is not critical for Ras-mediated transformation. In summary, in contrast to other epithelial cell types, Raf is a major effector for Ras transformation of ovarian epithelial cells.

3T3 Cells↗
PubMed2002

The class II tumour suppressor gene H-REV107-1 is a target of interferon-regulatory factor-1 and is involved in IFNgamma-induced cell death in human ovarian carcinoma cells.

H-rev107-1 is a growth inhibitory RAS target gene capable of suppressing anchorage independent growth in vitro and in vivo. Using a tumour tissue array with 241 matched tumour and normal tissue cDNA pools, we found down-regulation of H-REV107-1 in 7 out of 14 ovary-derived cDNAs. RT-PCR analysis and immunohistochemical investigation confirmed expression of H-REV107-1 in normal ovarian epithelial cells but down-regulation in high grade ovarian carcinomas. H-REV107-1 is also strongly expressed in immortalized rat and human ovarian epithelial cells in vitro, but suppressed in transformed cells by two different mechanisms. KRAS-transformed rat ovarian cells and PA1 teratocarcinoma cells, reversibly repress H-REV107-1 via MAP/ERK signaling. In contrast, treatment of A27/80 and OVCAR-3 epithelial ovarian cancer cells with IFNgamma stimulated H-REV107-1 expression. In NIH3T3 cells harbouring an estrogen-inducible IRF-1, H-rev107-1 is directly induced after activation of IRF-1, indicating that H-rev107-1 is a target of IRF-1. Stimulation of H-REV107-1 expression was also observed in ovarian epithelial cells suggesting that IRF-1 is involved in H-REV107-1 regulation in human ovarian epithelium. In the IFNgamma-sensitive cell line A27/80, H-REV107-1 suppresses colony formation. A27/80 and OVCAR-3 cells overexpressing H-REV107-1 protein underwent apoptosis. These results demonstrate down-regulation of the class II tumour suppressor H-REV107-1 in human ovarian carcinomas and suggest an involvement of H-REV107-1 in interferon-dependent cell death.

3T3 Cells↗
PubMed2002

Refined mapping of allele loss at chromosome 10q23-26 in prostate cancer.

BACKGROUND: Allele loss of at least two segments in 10q, one mapping to the PTEN gene and one more distal were described in prostate cancer, with loss more frequent in advanced prostate cancer. METHODS: A 63 cM region from 10q23 to q26 was studied for allele loss (LOH) in 59 prostate cancer samples using a dense map of microsatellite markers. RESULTS: LOH of at least one marker in 10q was observed in 13/59 tumors. LOH increased with grade and stage. Detailed deletion mapping identified three regions of allele loss. The first region mapped to the site of the PTEN gene, the second is defined by loss of one marker, D10S1692, in one tumor, and the third is defined between markers D10S1757 and D10S587, including DMBT, with a subregion of approximately 1.2 Mb mapping between markers D10S209 and D10S1679, lost in one tumor. CONCLUSIONS: LOH at the PTEN gene is frequent but mutations in the remaining allele were not detected by SSCP-screening. There may be more than two tumor suppressor (TS) genes mapping more distal of PTEN. The site for these putative TS genes can now be mapped with a dense set of precisely localized markers in a larger series of advanced tumors.

Chromosome Mapping↗
PubMed2002

Nitric oxide mediates apoptosis induction selectively in transformed fibroblasts compared to nontransformed fibroblasts.

Nitric oxide (NO) mediates apoptosis induction in fibroblasts with constitutive src or induced ras oncogene expression, whereas nontransformed parental cells and revertants are not affected. This direct link between the transformed phenotype and sensitivity to NO-mediated apoptosis induction seems to be based on the recently described extracellular superoxide anion generation by transformed cells, as NO-mediated apoptosis induction in transformed cells is inhibited by extracellular superoxide dismutase (SOD), by SOD mimetics and by apocynin, an inhibitor of NADPH oxidase. Furthermore, nonresponsive nontransformed cells can be rendered sensitive for NO-mediated apoptosis induction when they are supplemented with xanthine oxidase/xanthine as an extracellular source for superoxide anions. As superoxide anions and NO readily interact in a diffusion-controlled reaction to generate peroxynitrite, peroxynitrite seems to be the responsible apoptosis inducer in NO-mediated apoptosis induction. In line with this conclusion, NO-mediated apoptosis induction in superoxide anion-generating transformed cells is inhibited by the peroxynitrite scavengers ebselen and FeTPPS. Moreover, direct application of peroxynitrite induces apoptosis both in transformed and nontransformed cells, indicating that peroxynitrite is no selective apoptosis inducer per se, but that selective apoptosis induction in transformed cells by NO is achieved through selective peroxynitrite generation. The interaction of NO with target cell derived superoxide anions represents a novel concept for selective apoptosis induction in transformed cells. This mechanism may be the basis for selective apoptosis induction by natural antitumor systems (like macrophages, natural killer cells, granulocytes) that utilize NO for antitumor action. Apoptosis induction mediated by NO involves mitochondrial depolarization and is blocked by Bcl-2 overexpression.

Animals↗