Ralph Scherer
Hannover Medical School
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Featured researches published by Ralph Scherer.
PLOS ONE | 2014
Inga Peters; Natalia Dubrowinskaja; Mahmoud Abbas; Christoph Seidel; Michael Kogosov; Ralph Scherer; Kai Gebauer; Axel S. Merseburger; Markus A. Kuczyk; Viktor Grünwald; Jürgen Serth
VEGF-targeted therapy increases both the progression-free (PFS) and overall survival (OS) of patients with metastasized renal cell cancer (mRCC). Identification of molecular phenotypes of RCC could improve risk-stratification and the prediction of the clinical disease course. We investigated whether gene-specific DNA hypermethylation can predict PFS and OS among patients undergoing anti-VEGF-based therapy. Primary tumor tissues from 18 patients receiving targeted therapy were examined retrospectively using quantitative methylation-specific PCR analysis of CST6, LAD1, hsa-miR-124-3, and hsa-miR-9-1 CpG islands. PFS and OS were analyzed for first-line and sequential antiangiogenic therapies using the log rank statistics. Sensitivity and specificity were determined for predicting first-line therapy failure. Hypermethylation of CST6 and LAD1 was associated with both a shortened PFS (log rank p = 0.009 and p = 0.004) and OS (p = 0.011 and p = 0.043). The median PFS observed for the high and low methylation groups of CST6 and LAD1 was 2.0 vs.11.4 months. LAD1 methylation had a specificity of 1.0 (95% CI 0.65–1.0) and a sensitivity of 0.73 (95% CI 0.43–0.90) for the prediction of first-line therapy. CST6 and LAD1 methylation are candidate epigenetic biomarkers showing unprecedented association with PFS and OS as well as specificity for the prediction of the response to therapy. DNA methylation markers should be considered for the prospective evaluation of larger patient cohorts in future studies.
PLOS ONE | 2013
Jörg Eberhard; Karsten Grote; Maren Luchtefeld; Wieland Heuer; Harald Schuett; Dimitar Divchev; Ralph Scherer; Ruth Schmitz-Streit; Daniela Langfeldt; Nico Stumpp; Ingmar Staufenbiel; Bernhard Schieffer; Meike Stiesch
Objectives We here investigated whether experimental gingivitis enhances systemic markers of inflammation which are also known as surrogate markers of atherosclerotic plaque development. Background Gingivitis is a low-level oral infection induced by bacterial deposits with a high prevalence within Western populations. A potential link between the more severe oral disease periodontitis and cardiovascular disease has already been shown. Methods 37 non-smoking young volunteers with no inflammatory disease or any cardiovascular risk factors participated in this single-subject interventional study with an intra-individual control. Intentionally experimental oral inflammation was induced by the interruption of oral hygiene for 21 days, followed by a 21-days resolving phase after reinitiation of oral hygiene. Primary outcome measures at baseline, day 21 and 42 were concentrations of hsCRP, IL-6, and MCP-1, as well as adhesion capacity and oxLDL uptake of isolated blood monocytes. Results The partial cessation of oral hygiene procedures was followed by the significant increase of gingival bleeding (34.0%, P<0.0001). This local inflammation was associated with a systemic increase in hsCRP (0.24 mg/L, P = 0.038), IL-6 (12.52 ng/L, P = 0.0002) and MCP-1 (9.10 ng/l, P = 0.124) in peripheral blood samples between baseline and day 21, which decreased at day 42. Monocytes showed an enhanced adherence to endothelial cells and increased foam cell formation after oxLDL uptake (P<0.050) at day 21 of gingivitis. Conclusions Bacterial-induced gingival low-level inflammation induced a systemic increase in inflammatory markers. Dental hygiene almost completely reversed this experimental inflammatory process, suggesting that appropriate dental prophylaxis may also limit systemic markers of inflammation in subjects with natural gingivitis. International Clinical Trials Register Platform of the World Health Organization, registry number: DRKS00003366, URL: http://apps.who.int/trialsearch/Default.aspx
American Journal of Pathology | 2012
Verena Bröcker; Victoria Schubert; Irina Scheffner; Anke Schwarz; Marcus Hiss; Jan U. Becker; Ralph Scherer; Hermann Haller; Hans Kreipe; Michael Mengel; Wilfried Gwinner
Arteriolar hyalinosis in kidney transplants is considered the histopathologic hallmark of chronic calcineurin inhibitor (CNI) toxicity. However, the lesion is not specific. We assessed prevalence, progression, and clinical significance of arteriolar lesions in 1239 renal transplant sequential protocol biopsy samples and 408 biopsy for cause samples in 526 patients. Associations between arteriolar lesions and presumed risk factors, concomitant histopathologic lesions, demographic factors, and graft function were evaluated. The frequency of arteriolar lesions was stable during the first 2 years after transplantation, and increased thereafter (14.8% at 6 months versus 48.6% at >2 years; P < 0.0001). We were unable to find associations with diabetes, hypertension, or CNI therapy. However, patients with early arteriolar lesions received grafts from older donors (mean ± SD age, 54.4 ± 13.4 years versus 43.1 ± 16.6 years; P < 0.0001), and had inferior graft function (estimated glomerular filtration rate 55 ± 21 mL/min versus 63 ± 24 mL/min at 6 weeks, 53 ± 19 mL/min versus 60 ± 23 mL/min at 1 year, and 49 ± 19 mL/min versus 59 ± 22 mL/min at 2 years; P < 0.05). Evaluation of late biopsy samples from patients not receiving CNI therapy revealed a high prevalence of AH without clear-cut identifiable underlying cause. Reproducibility of arteriolar lesions was at best moderate (κ ≤ 0.62). Sampling error in sequential biopsy samples was frequent. In conclusion, in samples from sequential protocol biopsies and biopsies for cause in individual patients, arteriolar lesions in renal transplants not only increase over time without being specific for CNI toxicity but are affected by sampling error and limited reproducibility.
Cancer Medicine | 2014
Natalia Dubrowinskaja; Kai Gebauer; Inga Peters; Jörg Hennenlotter; Mahmoud Abbas; Ralph Scherer; Hossein Tezval; Axel S. Merseburger; Arnulf Stenzl; Viktor Grünwald; Markus A. Kuczyk; Jürgen Serth
Neurofilament Heavy polypeptid (NEFH) belongs to the group of type IV intermediate filament proteins. DNA methylation of the NEFH promoter and loss of expression have previously been shown to activate the AKT/β‐catenin pathway in tumor cells. When identifying hypermethylation of the NEFH CpG island (CGI) in renal cell cancer (RCC) we asked whether methylation could provide clinical or prognostic information for RCC and/or predict therapy response in patients with metastatic RCC (mRCC) undergoing antiangiogenic therapy. Relative methylation of the NEFH CGI was analyzed in 132 RCC samples and 83 paired normal tissues using quantitative methylation‐specific PCR. Results were statistically compared with tumor histology, clinicopathological parameters, progression‐free survival (PFS) as well as with overall survival (OS) in a subset of 18 mRCC patients following antiangiogenic therapy regimens. The NEFH CGI methylation demonstrated a tumor‐specific increase (P < 0.001), association with advanced disease (P < 0.001), and distant metastasis (P = 0.005). Higher relative methylation was also significantly associated with a poor PFS (HR = 8.6, P < 0.001) independent from the covariates age, gender, diameter of tumors, state of advanced disease, and local and distant metastasis. Median OS following targeted therapy was 29.8 months for patients with low methylation versus 9.8 months for the group with high methylation (P = 0.028). We identified NEFH methylation as a candidate epigenetic marker for prognosis of RCC patients as well as prediction of anti‐vascular endothelial growth factor‐based therapy response.
BMC Oral Health | 2014
Simone Schaumann; Ingmar Staufenbiel; Ralph Scherer; Markus Schilhabel; Andreas Winkel; Sascha Nico Stumpp; Jörg Eberhard; Meike Stiesch
BackgroundTo investigate the microbial composition of biofilms at inflamed peri-implant and periodontal tissues in the same subject, using 16S rRNA sequencing.MethodsSupra- and submucosal, and supra- and subgingival plaque samples were collected from 7 subjects suffering from diseased peri-implant and periodontal tissues. Bacterial DNA was isolated and 16S rRNA genes were amplified, sequenced and aligned for the identification of bacterial genera.Results43734 chimera-depleted, denoised sequences were identified, corresponding to 1 phylum, 8 classes, 10 orders, 44 families and 150 genera. The most abundant families or genera found in supramucosal or supragingival plaque were Streptoccocaceae, Rothia and Porphyromonas. In submucosal plaque, the most abundant family or genera found were Rothia, Streptococcaceae and Porphyromonas on implants. The most abundant subgingival bacteria on teeth were Prevotella, Streptococcaceae, and TG5. The number of sequences found for the genera Tannerella and Aggregatibacter on implants differed significantly between supra- and submucosal locations before multiple testing. The analyses demonstrated no significant differences between microbiomes on implants and teeth in supra- or submucosal and supra- or subgingival biofilms.ConclusionDiseased peri-implant and periodontal tissues in the same subject share similiar bacterial genera and based on the analysis of taxa on a genus level biofilm compositions may not account for the potentially distinct pathologies at implants or teeth.
BMC Clinical Pathology | 2014
Christoph-A. von Klot; Mario W. Kramer; Inga Peters; Joerg Hennenlotter; Mahmoud Abbas; Ralph Scherer; Thomas Herrmann; Arnulf Stenzl; Markus A. Kuczyk; Juergen Serth; Axel S. Merseburger
BackgroundGalectins are known to regulate cell differentiation and growth as well as cell adhesion and apoptosis. Galectins have been discussed as possible prognosticators for survival in renal cell cancer (RCC) and other urological tumors. They might also play an emerging role as possible new marker-proteins for RCC. In this study, we analyzed the expression of galectin-1 and galectin-3 mRNA in order to further investigate their clinical significance in RCC.MethodsTissue samples were obtained from 106 patients undergoing surgery for RCC. The expression of galectin-1 and galectin-3 mRNA in normal kidney and corresponding cancer tissue was analyzed using quantitative real time PCR. Differences in expression levels of paired tissue samples were assessed using paired two-sample tests. Associations of relative mRNA expression levels in tumor tissues with clinical findings were analyzed using univariate logistic regression.ResultsThe expression of galectin-1 (p < 0.001) and -3 (p < 0.001) mRNA were significantly higher in RCC when compared to the adjacent normal kidney tissue. For clear cell RCC, an association of male gender with higher galectin-1 and galectin-3 mRNA expression (p = 0.054, p = 0.034) was detected. For all RCCs, galectin-1 mRNA expression failed to show a significant association with advanced disease as well as a higher rate of lymph node metastases (p = 0.058, p = 0.059).ConclusionThe mRNA expression of galectin-1 and galectin-3 is significantly increased in RCC cancer tissue. The higher mRNA expression in tumor tissue of male patients raises the question of a functional connection between galectins and the higher prevalence of RCC in men. Associations with advanced disease might lead to new ways of identifying patients at higher risk of recurrent disease and might even facilitate early metastasectomy with curative intent.
Oncology Reports | 2014
Inga Peters; Kai Gebauer; Natalia Dubrowinskaja; Faranaz Atschekzei; Mario W. Kramer; Joerg Hennenlotter; Hossein Tezval; Mahmoud Abbas; Ralph Scherer; Axel S. Merseburger; Arnulf Stenzl; Markus A. Kuczyk; Juergen Serth
Transcriptional inactivation and CpG island (CGI) methylation of GATA transcription factor family members GATA3 and GATA5 have been reported for a few types of human cancer. Whether high-density CGI methylation of GATA3 or GATA5 is associated with the clinical course of patients with renal cell cancer (RCC) has not been clarified. Quantitative methylation-specific PCR assays were carried out to analyze 25 tumor cell lines including 6 RCC lines and 119 RCC and 87 adjacent normal tissues for the presence of densely methylated sequences. Methylation values were statistically compared with clinicopathological and recurrence-free survival (RFS) data for patients. Comparison of GATA3 and GATA5 methylation in different tumor cell lines revealed a marker-specific methylation characteristic with high and frequent signals for both methylation marks in RCC lines. GATA3 and GATA5 CGI relative methylation levels were found to be strongly associated with the state of metastasis (P=0.003 and P<0.001, respectively) and advanced disease (P=0.024 and P<0.001, respectively). Moreover, an independent decrease in RFS in Cox proportional hazard analysis was found for tumors exhibiting high GATA5 methylation (P<0.001, hazard ratio, 19.3; 95% confidence interval, 4.58–81.6). Epigenetic alterations in GATA family members may be associated with aggressive tumor phenotypes in RCC, and in the case of GATA5, may serve as a new independent molecular marker for aggressiveness and disease progression.
BMC Cancer | 2014
Inga Peters; Natalia Dubrowinskaja; Michael Kogosov; Mahmoud Abbas; Jörg Hennenlotter; Christoph von Klot; Axel S. Merseburger; A. Stenzl; Ralph Scherer; Markus A. Kuczyk; Jürgen Serth
BackgroundGATA-5, a zinc-finger transcription factor and member of the GATA family proteins 1–6, is known to be involved in cellular differentiation. We recently found that tumor-specific hypermethylation of the GATA5 CpG island (CGI) occurs in renal cell carcinoma (RCC) and is associated with an adverse clinical outcome. In this study, we investigated whether epigenetic GATA5 alterations may result in changes in GATA5 mRNA expression levels and correlate with the observed prognostic impact of epigenetic changes in GATA5 in RCC.MethodsQuantitative real-time reverse-transcribed polymerase chain reaction was applied to measure relative GATA5 mRNA expression levels in 135 kidney tissue samples, including 77 clear cell RCC (ccRCC) tissues and 58 paired adjacent normal renal tissue samples. Relative GATA5 expression levels were determined using the ΔΔCt method and detection of three endogenous control genes then compared to previously measured values of relative methylation.ResultsThe mean relative GATA5 mRNA expression level exhibited an approximately 31-fold reduction in tumor specimens compared with corresponding normal tissues (p < 0.001, paired t-test). Decreased GATA5 mRNA expression was inversely correlated with increased GATA5 CGI methylation (p < 0.001) and was associated with shortened recurrence-free survival in ccRCC patients (p = 0.023, hazard ratio = 0.25).ConclusionGATA5 mRNA expression is decreased in ccRCC, likely due to gene silencing by methylation of the GATA5 CGI. Moreover, reduced GATA5 mRNA levels were associated with a poor clinical outcome, indicating a possible role of GATA5 for the development of aggressive ccRCC phenotypes.
Experimental Hematology | 2014
Olga Kustikova; Maike Stahlhut; Teng-Cheong Ha; Ralph Scherer; Axel Schambach; Christopher Baum
Tetracycline-regulated integrating vectors allow pharmacologically controlled genetic modification of murine and human hematopoietic stem cells and provide the opportunity for time- and dose-controlled reversible transgene expression in hematopoietic stem cells in vitro and in vivo. However, the background activity of tetracycline-regulated promoters (tetPs) in the absence of induction or vector integration in the vicinity of proto-oncogenes can diminish the advantages of the system. Here we investigated the effect of lentiviral transduction rate on tetP background activity, vector copy number (VCN), and clonal variability as a consequence of vector integration. We found an exponential relationship between VCN and gene transfer/expression level, accompanied by a linear relationship between VCN and tetP background activity. Long-term murine transplantation studies demonstrated stable and reversible transgene expression in serial recipients. Although analysis of associated clonal composition revealed development of clonal dominance in the presence and absence of induction, no indications of disease presented during the observation period. The majority of tetracycline-regulated vector integration sites were identified in intron/exons of metabolic/housekeeping and signaling genes or in noncoding/repeat regions of the genome. Furthermore, we demonstrated that the nature of the selected transgene might affect tetP background activity and inducibility in vivo. Limiting tetP-regulated gene transfer may avoid generation of clones with high VCN and enhanced tetP background activity. Our data help to establish physiologic and pathophysiologic systems to study dose-dependent mechanisms triggered by different levels of transgene expression in the context of basic HSC biology and cellular transformation models.
Biometrical Journal | 2013
Ralph Scherer; Frank Schaarschmidt; Sabine Prescher; Kai U. Priesnitz
Diversity indices might be used to assess the impact of treatments on the relative abundance patterns in species communities. When several treatments are to be compared, simultaneous confidence intervals for the differences of diversity indices between treatments may be used. The simultaneous confidence interval methods described until now are either constructed or validated under the assumption of the multinomial distribution for the abundance counts. Motivated by four example data sets with background in agricultural and marine ecology, we focus on the situation when available replications show that the count data exhibit extra-multinomial variability. Based on simulated overdispersed count data, we compare previously proposed methods assuming multinomial distribution, a method assuming normal distribution for the replicated observations of the diversity indices and three different bootstrap methods to construct simultaneous confidence intervals for multiple differences of Simpson and Shannon diversity indices. The focus of the simulation study is on comparisons to a control group. The severe failure of asymptotic multinomial methods in overdispersed settings is illustrated. Among the bootstrap methods, the widely known Westfall-Young method performs best for the Simpson index, while for the Shannon index, two methods based on stratified bootstrap and summed count data are preferable. The methods application is illustrated for an example.