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Biomedical subjects

Manfred Schwab

Publications and source records attributed to Manfred Schwab.

At least 19 recordsLinked to original sources
PubMed2007

Nonrandom distribution of oncogene amplifications in bilateral breast carcinomas: Possible role of host factors and survival bias.

Amplification of HER2, C-MYC and CCND1 oncogenes is a hallmark of breast cancer (BC); however, its involvement in the bilateral form of this disease has not been investigated yet. In this study, 50 bilateral BC (biBC) pairs (100 tumors) and 72 control unilateral BC were examined using real-time PCR analysis of microdissected archival tissues. In biBC, the frequency of >3-fold oncogene amplification was 6/100 (6%) for HER2, 6/100 (6%) for C-MYC and 7/100 (7%) for CCND1. Altogether, 18/100 (18%) biBC tumors had increased gene dosage of at least one oncogene. Tumors forming synchronous biBC pairs had amplification in 11/46 cases (24%). In 3 of 8 patients with amplification-positive carcinomas, the amplification was detected in both neoplasms: 2 biBC had concordant activation of the same oncogene (HER2 and CCND1, respectively), and in the remaining case distinct oncogenes were affected (HER2 and C-MYC). In contrast, amplifications in metachronous biBC were strongly discordant: none of 27 first carcinomas carried this abnormality, while the frequency of amplification in second tumors (7/27; 26%) was similar to the one observed in unilateral BC (20/72; 28%). The trend toward concordance of oncogene amplification status in synchronous but not in metachronous biBC pairs can be explained by the nearly identical natural history of the disease in simultaneously arising tumors. The skewed pattern of amplifications in metachronous biBC might be attributed to their association with adverse BC prognosis; it appears that only patients with amplification-negative first BC have sufficient chances to survive until the development of the contralateral carcinoma.

Adult↗
PubMed2007

Allelic variants of CAMTA1 and FLJ10737 within a commonly deleted region at 1p36 in neuroblastoma.

Deletion of a distal portion of 1p is seen in a wide range of human malignancies, including neuroblastoma. Here, a 1p36.3 commonly deleted region of 216 kb has been defined encompassing two genes, CAMTA1 and FLJ10737. Low expression of CAMTA1 has been recently shown to be an independent predictor of poor outcome in neuroblastoma patients. The present study surveys CAMTA1 and FLJ10737 for genetic alterations by fluorescence-based single strand conformation polymorphism (SSCP) using a panel of DNAs from 88 neuroblastomas, their matching blood samples and 97 unaffected individuals. Nucleotide variants encoding amino acid substitutions were found in both genes. One CAMTA1 variant (T1336I) was not detected in 97 unaffected individuals, another (N1177K) resides in a conserved domain of the CAMTA1 protein and was found hemizygous in six neuroblastomas. We found no evidence for somatic mutations in FLJ10737 or CAMTA1. Further investigations are needed to address the functional impact of the identified variants and their possible significance for neuroblastoma.

Alleles↗
PubMed2007

Common fragile site FRA11G and rare fragile site FRA11B at 11q23.3 encompass distinct genomic regions.

Fragile sites are specific genomic loci that are particularly prone to chromosomal breakage. Based on their incidence in the human population, they are divided into rare fragile sites occurring in less than 5% of all individuals and common fragile sites being a constitutional feature of the genome of probably all individuals. In this study, cloning of unstable DNA sequences, which have been previously genetically tagged with a marker gene, was the basis for defining the genomic localization of the common fragile site FRA11G at 11q23.3. Mapping of the fragile site with six-color fluorescence in situ hybridization (FISH) resulted in the precise genomic localization of FRA11G to a 4.5 Mb region. The chromosomal subband 11q23.3 harbors both the common fragile site FRA11G and the rare fragile site FRA11B. Here, we show that FRA11G maps 0.8 Mb proximal to the genomic region previously defined to be affected by expression of FRA11B; thus, the common and the rare fragile sites at 11q23.3 encompass distinct genomic regions. The region of FRA11G is known to be involved in somatic and germline recurrent aberrations, and it is conceivable that genetic damage resulting from this fragile site might contribute to clinical phenotypes.

Breast Neoplasms↗
PubMed2006

Targeted MYCN expression affects cytotoxic potential of chemotherapeutic drugs in neuroblastoma cells.

Neuroblastoma (NB) is a solid childhood tumour that exhibits heterogeneous biological and clinical phenotypes. Multiple drug resistance marks a major complication especially in high-risk patients with advanced tumour stages and specific genetic aberrations, such as MYCN amplification and lp deletion. As an approach to further address the mechanisms of chemotherapeutic responsiveness of NB, we used a MYCN-inducible in vitro system and tested the susceptibility of NB cells to anti-tumour drugs currently included in NB treatment protocols dependent on MYCN expression. We observed cytotoxic effects using drug concentrations corresponding to blood plasma levels achieved in NB patients. The most potent drugs were microtubule inhibitors vindesin, paclitaxel and vincristin. Less effective were doxorubicine, arsenic trioxide, cisplatin, etoposide and carboplatin. Exposed to anti-tumour agents, NB cells with induced MYCN expression exhibited higher specific apoptosis than NB cells lacking MYCN expression. Anti-tumour drugs in MYCN-on cells accelerated G1-S phase transition, led to enhanced accumulation of cell populations in G2/M phase, and increased levels of apoptosis. In contrast, MYCN-off cell populations arrested in G1 and, to a smaller extent, in G2/M and exhibited delayed onset of apoptosis. In summary, apoptosis profiles and anti-proliferative potential of chemotherapeutic drugs, used at in vivo tolerable doses, are affected by MYCN overexpression and deregulated cell cycle in SH-EP(MYCN) cells.

Antineoplastic Agents↗
PubMed2006

Classification of neuroblastoma patients by published gene-expression markers reveals a low sensitivity for unfavorable courses of MYCN non-amplified disease.

Currently, Pubmed lists 385 marker genes for neuroblastoma outcome. Using a customized neuroblastoma-microarray, we evaluated the prognostic impact of the gene-expression pattern of 349 of these candidates (90.6%) in 127 neuroblastoma patients with divergent outcome. By significance analysis of microarrays (SAM) and both uncorrected and Bonferroni-corrected ANOVA, 166/349 (47.5%), 218/349 (62.5%) and 128/349 (36.4%) candidates showed significant differential expression between patients with contrasting outcome. By Prediction Analysis for Microarrays (PAM), a 38-gene-classifier was derived from all markers, which classified patients outcome with an overall accuracy of 78.5%. However, patients with unfavorable outcome of MYCN non-amplified disease were largely misclassified (accuracy: 35%), suggesting that these courses are not identified by current marker genes.

Analysis of Variance↗
PubMed2006

Customized oligonucleotide microarray gene expression-based classification of neuroblastoma patients outperforms current clinical risk stratification.

PURPOSE: To develop a gene expression-based classifier for neuroblastoma patients that reliably predicts courses of the disease. PATIENTS AND METHODS: Two hundred fifty-one neuroblastoma specimens were analyzed using a customized oligonucleotide microarray comprising 10,163 probes for transcripts with differential expression in clinical subgroups of the disease. Subsequently, the prediction analysis for microarrays (PAM) was applied to a first set of patients with maximally divergent clinical courses (n = 77). The classification accuracy was estimated by a complete 10-times-repeated 10-fold cross validation, and a 144-gene predictor was constructed from this set. This classifier's predictive power was evaluated in an independent second set (n = 174) by comparing results of the gene expression-based classification with those of risk stratification systems of current trials from Germany, Japan, and the United States. RESULTS: The first set of patients was accurately predicted by PAM (cross-validated accuracy, 99%). Within the second set, the PAM classifier significantly separated cohorts with distinct courses (3-year event-free survival [EFS] 0.86 +/- 0.03 [favorable; n = 115] v 0.52 +/- 0.07 [unfavorable; n = 59] and 3-year overall survival 0.99 +/- 0.01 v 0.84 +/- 0.05; both P < .0001) and separated risk groups of current neuroblastoma trials into subgroups with divergent outcome (NB2004: low-risk 3-year EFS 0.86 +/- 0.04 v 0.25 +/- 0.15, P < .0001; intermediate-risk 1.00 v 0.57 +/- 0.19, P = .018; high-risk 0.81 +/- 0.10 v 0.56 +/- 0.08, P = .06). In a multivariate Cox regression model, the PAM predictor classified patients of the second set more accurately than risk stratification of current trials from Germany, Japan, and the United States (P < .001; hazard ratio, 4.756 [95% CI, 2.544 to 8.893]). CONCLUSION: Integration of gene expression-based class prediction of neuroblastoma patients may improve risk estimation of current neuroblastoma trials.

Biomarkers, Tumor↗
PubMed2006

Marked and independent prognostic significance of the CpG island methylator phenotype in neuroblastomas.

The CpG island methylator phenotype (CIMP) was closely associated with poor overall survival (OS) in Japanese neuroblastoma (NBL) cases in our previous study. Here, in German NBL cases, CIMP(+) cases (n=95) showed markedly poorer OS (hazard ratio (HR)=9.5; P<0.0001) and disease-free survival (DFS) (HR=5.4; P<0.0001) than CIMP(-) cases (n=50). All the 23 cases with N-myc amplification had CIMP. Among the remaining cases without N-myc amplification, CIMP(+) cases (n=27) had a poorer OS (HR=4.5; P=0.02) and DFS (HR=5.2; P<0.0001) than CIMP(-) cases (n=95). In multivariate analysis, CIMP and N-myc amplification had an influence on OS and DFS independent of age and disease stage. CIMP had a stronger influence on DFS than N-myc amplification while N-myc had a stronger influence on OS.

Adolescent↗
PubMed2006

Suppression of centrosome amplification after DNA damage depends on p27 accumulation.

The centrosome plays a fundamental role in cell division, cell polarity, and cell cycle progression. Centrosome duplication is mainly controlled by cyclin-dependent kinase 2 (CDK2)/cyclin E and cyclin A complexes, which are inhibited by the CDK inhibitors p21Cip1 and p27Kip1. It is thought that abnormal activation of CDK2 induces centrosome amplification that is frequently observed in a wide range of aggressive tumors. We previously reported that overexpression of the oncogene MYCN leads to centrosome amplification after DNA damage in neuroblastoma cells. We here show that centrosome amplification after gamma-irradiation was caused by suppression of p27 expression in MYCN-overexpressing cells. We further show that p27-/- and p27+/- mouse embryonic fibroblasts and p27-silenced human cells exhibited a significant increase in centrosome amplification after DNA damage. Moreover, abnormal mitotic cells with amplified centrosomes were frequently observed in p27-silenced cells. In response to DNA damage, the level of p27 gradually increased in normal cells independently of the ataxia telangiectasia mutated/p53 pathway, whereas Skp2, an F-box protein component of an SCF ubiquitin ligase complex that targets p27, was reduced. Additionally, p27 levels in MYCN-overexpressing cells were restored by treatment with Skp2 small interfering RNA, indicating that down-regulation of p27 by MYCN was due to high expression of Skp2. These results suggest that the accumulation of p27 after DNA damage is required for suppression of centrosome amplification, thereby preventing chromosomal instability.

Ataxia Telangiectasia Mutated Proteins↗
PubMed2006

FRA1E common fragile site breaks map within a 370kilobase pair region and disrupt the dihydropyrimidine dehydrogenase gene (DPYD).

Common fragile sites represent components of normal chromosome structure that are particularly prone to breakage under replication stress. Although the cytogenetic locations of 88 common fragile sites are listed in the Genome database, the DNA at only 14 of them has been defined and characterized at the molecular level. Here, we identify the precise genomic position of the common fragile site FRA1E, mapped to the chromosomal band 1p21.2, and characterize the genetic complexity of the fragile DNA sequence. We show that FRA1E extends over 370kb within the dihydropyrimidine dehydrogenase (DPYD) gene, which genomically spans approximately 840kb. The 185kb region of the highest fragility, which accounts for 86% of all observed breaks at FRA1E, encompasses the central part of DPYD including exons 13-16. DPYD encodes dihydropyrimidine dehydrogenase (DPD), which is the first and rate-limiting enzyme in a three-step metabolic pathway involved in degradation of the pyrimidine bases uracil and thymine. Deficiency in human DPD is associated with autosomal recessive disease, thymine-uraciluria, and with severe 5-fluorouracil toxicity in cancer patients. To which extent the disruption of the DPYD gene by the fragile site break is only transient, followed by DNA repair to restore the original structure, or occasionally may result in genomic damage associated with human disease remains to be determined.

Aphidicolin↗
PubMed2006

Reduced expression of CAMTA1 correlates with adverse outcome in neuroblastoma patients.

PURPOSE: A distal portion of 1p is frequently deleted in human neuroblastomas, and it is generally assumed that this region harbors at least one gene relevant for neuroblastoma development. A 1p36.3 commonly deleted region, bordered by D1S2731 and D1S214 has been defined. The present study surveys whether expression of genes mapping to this region is associated with tumor behavior. EXPERIMENTAL DESIGN: Candidate genes localized within the deleted region were identified by sequence data analysis. Their expression was assessed in a cohort of 49 primary neuroblastomas using cDNA microarray analysis. Gene expression patterns associated with known prognostic markers and patient outcome were further evaluated by quantitative real-time reverse transcription-PCR in a cohort of 102 neuroblastomas. RESULTS: The commonly deleted region spans 261 kb and encompasses two genes, FLJ10737 and CAMTA1. We found no evidence for an association of FLJ10737 expression with established prognostic variables or outcome. In contrast, low CAMTA1 expression characterized tumors with 1p deletion, MYCN amplification, and advanced tumor stages 3 and 4. Moreover, low CAMTA1 expression was significantly associated with poor outcome (P < 0.001). In multivariate analysis of event-free survival, the prognostic information of low CAMTA1 expression was independent of 1p status, MYCN status, tumor stage, and age of the patient at diagnosis (hazard ratio, 3.52; 95% confidence interval, 1.21-10.28; P = 0.02). CONCLUSIONS: Our data suggest that assessment of CAMTA1 expression may improve the prognostic models for neuroblastoma and that it will be important to define the biological function of CAMTA1 in this disease.

Age Factors↗
PubMed2006

Increased WSB1 copy number correlates with its over-expression which associates with increased survival in neuroblastoma.

Gain of chromosome 17 is the most prevalent genetic abnormality identified in neuroblastoma (NB) and distal 17q gain has prognostic significance in NB. In this report, we have combined array-based comparative genomic hybridization (A-CGH) and gene expression analysis to investigate gene copy number changes and its impact on the gene expression level as well as their association with prognosis genes located on chromosome 17 in NB tumors. We observed differential gains of chromosome 17 between Stages 4- and 4S tumors. We found that WSB1, mapping to 17q11.1, which was frequently gained in 4S- tumors and not changed in 4- tumors, showed strong correlations between expression level and copy number. Furthermore, the increase of WSB1 gene expression is associated with good outcome in patients with NB of all stages. WSB1 also enhances the prognostic prediction when combined with other current prognostic factors in NB. Our results demonstrate that WSB1 copy number correlates with its expression level and that its high expression associates with good prognosis suggesting a possible role of this gene in the biology of favorable outcome NB. This article contains Supplementary Material available at http://www.interscience.wiley.com/jpages/1045-2257/suppmat.

Cell Line, Tumor↗
PubMed2006

Characterization and development of a peptide (p160) with affinity for neuroblastoma cells.

UNLABELLED: Drug-targeting strategies can increase the efficacy and reduce the side effects and toxicity of conventional chemotherapy or may lead to new radiolabeled molecules useful for diagnosis and therapy. To identify and characterize new carrier molecules, we evaluated a peptide that had been identified by phage display technology. METHODS: The peptide p160 (VPWMEPAYQRFL) was prepared by solid-phase peptide synthesis and radiolabeled with (125)I or (131)I. The radiolabeled peptide and derivatives of it were used to study binding and internalization in vitro and to assess their distribution in tumor-bearing mice. RESULTS: Cell-binding assays on the human neuroblastoma cell line WAC 2 indicated the affinity and specificity of (125)I-labeled p160 toward neuroblastoma cells. Binding of the (125)I-labeled p160 was inhibited up to 95% by the unlabeled peptide. Furthermore, 50% of the total bound activity was internalized into the neuroblastoma cells. Biodistribution studies on nude mice showed a higher tracer accumulation in tumors than in most organs. Perfusion of the animals reduced uptake in all tissues, whereas tumor uptake remained constant. Fluorescence-activated cell-sorting studies with fluorescein isothiocyanate-labeled p160 demonstrated an increased fluorescence signal. Investigation of the binding properties of the fragments p160-8-1, p160-8-2, and p160-8-3 indicated that the sequence EPAYQR might be of significance for the binding of p160. CONCLUSION: These data indicate that the p160 peptide is an attractive candidate for the development of a neuroblastoma-specific vector that can be used for drug targeting or radiopeptide-based diagnosis and therapy.

Animals↗
PubMed2005

Low-frequency common fragile sites: link to neuropsychiatric disorders?

Common fragile sites are unstable chromosomal regions that predispose chromosomes to breakage and rearrangements. Recombinogenic DNA sequences encompassing these sites may contribute to both germinal and somatic genomic mutations, and the genomic instability at these regions might cause severe inherited disorders or predispose to cancer. In this review, we discuss the characterization of common fragile site FRA13A within the neurobeachin gene, which is involved in development and function of the central nervous system. We raise the possibility of an implication of common fragile sites in neuropsychiatric disorders and overview previous and recent reports concerning individual variability of expression of common fragile sites in human populations.

Carrier Proteins↗
PubMed2005

The neurobeachin gene spans the common fragile site FRA13A.

Common fragile sites are normal constituents of chromosomal structure prone to chromosomal breakage. In humans, the cytogenetic locations of more than 80 common fragile sites are known. The DNA at 11 of them has been defined and characterized at the molecular level. According to the Genome Database, the common fragile site FRA13A maps to chromosome band 13q13.2. Here, we identify the precise genomic position of FRA13A, and characterize the genetic complexity of the fragile DNA sequence. We show that FRA13A breaks are limited to a 650 kb region within the neurobeachin (NBEA) gene, which genomically spans approximately 730 kb. NBEA encodes a neuron-specific multidomain protein implicated in membrane trafficking that is predominantly expressed in the brain and during development.

Autistic Disorder↗
PubMed2005

Preclinical evaluation of the breast cancer cell-binding peptide, p160.

PURPOSE: Selective delivery of drugs into the target tissue is expected to result in high drug concentrations in the tissue of interest and therefore enhanced drug efficacy. To develop a peptide-based radiopharmaceutical, we investigated the properties of a peptide with affinity for human breast cancer, which has been selected through phage display. EXPERIMENTAL DESIGN: The bioactivity of the p160 peptide (VPWMEPAYQRFL) was evaluated in vitro and in vivo. The specific binding to human breast cancer MDA-MB-435 cells was confirmed in competition experiments. Internalization of the peptide was investigated with confocal microscopy. Furthermore, the biodistribution of (131)I-labeled p160 was studied in tumor-bearing mice. In vivo stability was evaluated at different periods after tracer administration using high-performance liquid chromatography analysis. RESULTS: The binding of (125)I-labeled p160 was inhibited up to 95% by the unlabeled peptide with an IC(50) value of 0.6 micromol/L. In addition, 40% of the total bound activity was found to be internalized into the human breast cancer cells. Although a rapid degradation was seen, biodistribution studies in nude mice showed a higher uptake in tumor than in most of the organs. Perfusion of the animals caused a reduction of the radioligand accumulation in the healthy tissues, whereas the tumor uptake remained constant. A comparison of [(131)I]p160 with a (131)I-labeled Arg-Gly-Asp peptide revealed a higher tumor-to-organ ratio for [(131)I]p160. CONCLUSIONS: p160 has properties that make it an attractive carrier for tumor imaging and the intracellular delivery of isotopes or chemotherapeutic drugs.

Amino Acid Sequence↗
PubMed2005

Inferring a tumor progression model for neuroblastoma from genomic data.

PURPOSE: The knowledge of the key genomic events that are causal to cancer development and progression not only is invaluable for our understanding of cancer biology but also may have a direct clinical impact. The task of deciphering a model of tumor progression by requiring that it explains (or at least does not contradict) known clinical and molecular evidence can be very demanding, particularly for cancers with complex patterns of clinical and molecular evidence. MATERIALS AND METHODS: We formalize the process of model inference and show how a progression model for neuroblastoma (NB) can be inferred from genomic data. The core idea of our method is to translate the model of clonal cancer evolution to mathematical testable rules of inheritance. Seventy-eight NB samples in stages 1, 4S, and 4 were analyzed with array-based comparative genomic hybridization. RESULTS: The pattern of recurrent genomic alterations in NB is strongly stage dependent and it is possible to identify traces of tumor progression in this type of data. CONCLUSION: A tumor progression model for neuroblastoma is inferred, which is in agreement with clinical evidence, explains part of the heterogeneity of the clinical behavior observed for NB, and is compatible with existing empirical models of NB progression.

Child↗
PubMed2004

Prediction of clinical outcome using gene expression profiling and artificial neural networks for patients with neuroblastoma.

Currently, patients with neuroblastoma are classified into risk groups (e.g., according to the Children's Oncology Group risk-stratification) to guide physicians in the choice of the most appropriate therapy. Despite this careful stratification, the survival rate for patients with high-risk neuroblastoma remains <30%, and it is not possible to predict which of these high-risk patients will survive or succumb to the disease. Therefore, we have performed gene expression profiling using cDNA microarrays containing 42,578 clones and used artificial neural networks to develop an accurate predictor of survival for each individual patient with neuroblastoma. Using principal component analysis we found that neuroblastoma tumors exhibited inherent prognostic specific gene expression profiles. Subsequent artificial neural network-based prognosis prediction using expression levels of all 37,920 good-quality clones achieved 88% accuracy. Moreover, using an artificial neural network-based gene minimization strategy in a separate analysis we identified 19 genes, including 2 prognostic markers reported previously, MYCN and CD44, which correctly predicted outcome for 98% of these patients. In addition, these 19 predictor genes were able to additionally partition Children's Oncology Group-stratified high-risk patients into two subgroups according to their survival status (P = 0.0005). Our findings provide evidence of a gene expression signature that can predict prognosis independent of currently known risk factors and could assist physicians in the individual management of patients with high-risk neuroblastoma.

Antineoplastic Combined Chemotherapy Protocols↗