Volker Liebenberg
Epigenomics AG
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Publication
Featured researches published by Volker Liebenberg.
PLOS ONE | 2008
Robert Grützmann; Béla Molnár; Christian Pilarsky; Jens K. Habermann; Peter M. Schlag; Hans Detlev Saeger; Stephan Miehlke; Thomas Stolz; Fabian Model; Uwe J. Roblick; Hans Peter Bruch; Rainer Koch; Volker Liebenberg; Theo deVos; Xiaoling Song; Robert H. Day; Andrew Sledziewski; Catherine Lofton-Day
Background Colorectal cancer (CRC) is the second leading cause of cancer deaths despite the fact that detection of this cancer in early stages results in over 90% survival rate. Currently less than 45% of at-risk individuals in the US are screened regularly, exposing a need for better screening tests. We performed two case-control studies to validate a blood-based test that identifies methylated DNA in plasma from all stages of CRC. Methodology/Principal Findings Using a PCR assay for analysis of Septin 9 (SEPT9) hypermethylation in DNA extracted from plasma, clinical performance was optimized on 354 samples (252 CRC, 102 controls) and validated in a blinded, independent study of 309 samples (126 CRC, 183 controls). 168 polyps and 411 additional disease controls were also evaluated. Based on the training study SEPT9-based classification detected 120/252 CRCs (48%) and 7/102 controls (7%). In the test study 73/126 CRCs (58%) and 18/183 control samples (10%) were positive for SEPT9 validating the training set results. Inclusion of an additional measurement replicate increased the sensitivity of the assay in the testing set to 72% (90/125 CRCs detected) while maintaining 90% specificity (19/183 for controls). Positive rates for plasmas from the other cancers (11/96) and non-cancerous conditions (41/315) were low. The rate of polyp detection (>1 cm) was ∼20%. Conclusions/Significance Analysis of SEPT9 DNA methylation in plasma represents a straightforward, minimally invasive method to detect all stages of CRC with potential to satisfy unmet needs for increased compliance in the screening population. Further clinical testing is warranted.
Cancer Research | 2009
Georg Wieczorek; Anne Marie Asemissen; Fabian Model; Ivana Turbachova; Stefan Floess; Volker Liebenberg; Udo Baron; Diana Stauch; Katja Kotsch; Johann Pratschke; Alf Hamann; Christoph Loddenkemper; Harald Stein; H.-D. Volk; Ulrich Hoffmüller; Alexander Mustea; Jochen Huehn; Carmen Scheibenbogen; Sven Olek
Regulatory T-cells (Treg) have been the focus of immunologic research due to their role in establishing tolerance for harmless antigens versus allowing immune responses against foes. Increased Treg frequencies measured by mRNA expression or protein synthesis of the Treg marker FOXP3 were found in various cancers, indicating that dysregulation of Treg levels contributes to tumor establishment. Furthermore, they constitute a key target of immunomodulatory therapies in cancer as well as transplantation settings. One core obstacle for understanding the role of Treg, thus far, is the inability of FOXP3 mRNA or protein detection methods to differentiate between Treg and activated T cells. These difficulties are aggravated by the technical demands of sample logistics and processing. Based on Treg-specific DNA demethylation within the FOXP3 locus, we present a novel method for monitoring Treg in human peripheral blood and solid tissues. We found that Treg numbers are significantly increased in the peripheral blood of patients with interleukin 2-treated melanoma and in formalin-fixed tissue from patients with lung and colon carcinomas. Conversely, we show that immunosuppressive therapy including therapeutic antibodies leads to a significant reduction of Treg from the peripheral blood of transplantation patients. In addition, Treg numbers are predictively elevated in the peripheral blood of patients with various solid tumors. Although our data generally correspond to data obtained with gene expression and protein-based methods, the results are less fluctuating and more specific to Treg. The assay presented here measures Treg robustly in blood and solid tissues regardless of conservation levels, promising fast screening of Treg in various clinical settings.
Journal of Thoracic Oncology | 2011
Christoph Kneip; Bernd Schmidt; Anke Seegebarth; Sabine Weickmann; Michael Fleischhacker; Volker Liebenberg; John K. Field; Dimo Dietrich
Introduction: Recently, analysis of DNA methylation of the SHOX2 locus was shown to reliably identify lung cancer in bronchial aspirates of patients with disease. As a plasma-based assay would expand the possible applications of the SHOX2 biomarker, this study aimed to develop a modified SHOX2 assay for use in a blood-based test and to analyze the performance of this optimized SHOX2 methylation assay in plasma. Methods: Quantitative real-time polymerase chain reaction was used to analyze DNA methylation of SHOX2 in plasma samples from 411 individuals. A training study (20 stage IV patients with lung cancer and 20 controls) was performed to show the feasibility of detecting the SHOX2 biomarker in blood and to determine a methylation cutoff for patient classification. The resulting cutoff was verified in a testing study composed of 371 plasma samples from patients with lung cancer and controls. Results: DNA methylation of SHOX2 could be used as a biomarker to distinguish between malignant lung disease and controls at a sensitivity of 60% (95% confidence interval: 53–67%) and a specificity of 90% (95% confidence interval: 84–94%). Cancer in patients with stages II (72%), III (55%), and IV (83%) was detected at a higher sensitivity when compared with stage I patients. Small cell lung cancer (80%) and squamous cell carcinoma (63%) were detected at the highest sensitivity when compared with adenocarcinomas. Conclusions: SHOX2 DNA methylation is a biomarker for detecting the presence of malignant lung disease in blood plasma from patients with lung cancer.
BMC Cancer | 2010
Bernd Schmidt; Volker Liebenberg; Dimo Dietrich; Thomas Schlegel; Christoph Kneip; Anke Seegebarth; Nadja Flemming; Stefanie Seemann; Jürgen Distler; Jörn Lewin; Reimo Tetzner; Sabine Weickmann; Ulrike Wille; Triantafillos Liloglou; Olaide Y. Raji; M.J. Walshaw; Michael Fleischhacker; Christian Witt; John K. Field
BackgroundThis study aimed to show that SHOX2 DNA methylation is a tumor marker in patients with suspected lung cancer by using bronchial fluid aspirated during bronchoscopy. Such a biomarker would be clinically valuable, especially when, following the first bronchoscopy, a final diagnosis cannot be established by histology or cytology. A test with a low false positive rate can reduce the need for further invasive and costly procedures and ensure early treatment.MethodsMarker discovery was carried out by differential methylation hybridization (DMH) and real-time PCR. The real-time PCR based HeavyMethyl technology was used for quantitative analysis of DNA methylation of SHOX2 using bronchial aspirates from two clinical centres in a case-control study. Fresh-frozen and Saccomanno-fixed samples were used to show the tumor marker performance in different sample types of clinical relevance.ResultsValid measurements were obtained from a total of 523 patient samples (242 controls, 281 cases). DNA methylation of SHOX2 allowed to distinguish between malignant and benign lung disease, i.e. abscesses, infections, obstructive lung diseases, sarcoidosis, scleroderma, stenoses, at high specificity (68% sensitivity [95% CI 62-73%], 95% specificity [95% CI 91-97%]).ConclusionsHypermethylation of SHOX2 in bronchial aspirates appears to be a clinically useful tumor marker for identifying subjects with lung carcinoma, especially if histological and cytological findings after bronchoscopy are ambiguous.
Clinical Chemistry | 2014
Beate Kamlage; Sandra González Maldonado; Bianca Bethan; Erik Peter; Oliver Schmitz; Volker Liebenberg; Philipp Schatz
BACKGROUND Metabolomics is a valuable tool with applications in almost all life science areas. There is an increasing awareness of the essential need for high-quality biospecimens in studies applying omics technologies and biomarker research. Tools to detect effects of both blood and plasma processing are a key for assuring reproducible and credible results. We report on the response of the human plasma metabolome to common preanalytical variations in a comprehensive metabolomics analysis to reveal such high-quality markers. METHODS Human EDTA blood was subjected to preanalytical variations while being processed to plasma: microclotting, prolonged processing times at different temperatures, hemolysis, and contamination with buffy layer. In a second experiment, EDTA plasma was incubated at different temperatures for up to 16 h. Samples were subjected to GC-MS and liquid chromatography-tandem mass spectrometry-based metabolite profiling (MxP™ Broad Profiling) complemented by targeted methods, i.e., sphingoids (as part of MxP™ Lipids), MxP™ Catecholamines, and MxP™ Eicosanoids. RESULTS Short-term storage of blood, hemolysis, and short-term storage of noncooled plasma resulted in statistically significant increases of 4% to 19% and decreases of 8% to 12% of the metabolites. Microclotting, contamination of plasma with buffy layer, and short-term storage of cooled plasma were of less impact on the metabolome (0% to 11% of metabolites increased, 0% to 8% decreased). CONCLUSIONS The response of the human plasma metabolome to preanalytical variation demands implementation of thorough quality assurance and QC measures to obtain reproducible and credible results from metabolomics studies. Metabolites identified as sensitive to preanalytics can be used to control for sample quality.
The Prostate | 2009
Shannon Payne; Jűrgen Serth; Martin Schostak; Jőrn Kamradt; Arne Strauss; Paul Thelen; Fabian Model; J. Kevin Day; Volker Liebenberg; Andrew Morotti; Su Yamamura; Joe Lograsso; Andrew Sledziewski; Axel Semjonow
A prostate cancer (PCa) biomarker with improved specificity relative to PSA is a public health priority. Hypermethylated DNA can be detected in body fluids from PCa patients and may be a useful biomarker, although clinical performance varies between studies. We investigated the performance of candidate PCa DNA methylation biomarkers identified through a genome‐wide search.
PLOS ONE | 2014
Inken Padberg; Erik Peter; Sandra González-Maldonado; Henning Witt; Matthias Mueller; Tanja Weis; Bianca Bethan; Volker Liebenberg; Jan C. Wiemer; Hugo A. Katus; Dietrich Rein; Philipp Schatz
Objective The objective of the current study was to find a metabolic signature associated with the early manifestations of type-2 diabetes mellitus. Research Design and Method Modern metabolic profiling technology (MxP™ Broad Profiling) was applied to find early alterations in the plasma metabolome of type-2 diabetic patients. The results were validated in an independent study. Eicosanoid and single inon monitoring analysis (MxP™ Eicosanoid and MxP™ SIM analysis) were performed in subsets of samples. Results A metabolic signature including significantly increased levels of glyoxylate as a potential novel marker for early detection of type-2 diabetes mellitus was identified in an initial study (Study1). The signature was significantly altered in fasted diabetic and pre-diabetic subjects and in non-fasted subjects up to three years prior to the diagnosis of type-2 diabetes; most alterations were also consistently found in an independent patient group (Study 2). In Study 2 diabetic and most control subjects suffered from heart failure. In Study 1 a subgroup of diabetic subjects, with a history of use of anti-hypertensive medication further showed a more pronounced increase of glyoxylate levels, compared to a non-diabetic control group when tested in a hyperglycemic state. In the context of a prior history of anti-hypertensive medication, alterations in hexosamine and eicosanoid levels were also found. Conclusion A metabolic signature including glyoxylate was associated with type-2 diabetes mellitus, independent of the fasting status and of occurrence of another major disease. The same signature was also found to be associated with pre-diabetic subjects. Glyoxylate levels further showed a specifically strong increase in a subgroup of diabetic subjects. It could represent a new marker for the detection of medical subgroups of diabetic subjects.
PLOS ONE | 2015
Bernd Schmidt; Julia Beyer; Dimo Dietrich; Ines Bork; Volker Liebenberg; Michael Fleischhacker
Purpose Most patients suffering from advanced lung cancer die within a few months. To exploit new therapy regimens we need better methods for the assessment of a therapy response. Material and Methods In a pilot study we prospectively enrolled 36 patients with advanced NSCLC and SCLC (34 stage IV, 2 stage IIIB) of whom 34 received standard platinum-based chemo/radiotherapy and two were treated with a tyrosine kinase inhibitor. We measured the levels of extracellular methylated SHOX2 DNA (mSHOX2) in plasma before and during therapy until re-staging. The mSHOX2 analysis was blinded with respect to the clinical data making it an observational study. Results According to the re-staging of 31 first-line patients, 19 patients were classified as non-responders while 12 patients were in the responder group. We observed a tight correlation between radiological data and the change of plasma mSHOX2 level as the equivalent for a therapy response. A ROC analysis showed a high discriminatory power for both patient groups already one week after therapy start (AUC 0.844). Additionally, a Kaplan-Meier and Cox Proportional Hazards analyses revealed a strong relationship between survival and plasma mSHOX2 value p≤0.001 (hazard ratio 11.08) providing some evidence for mSHOX2 also being a predictive marker. Conclusion The longitudinal measurement of extracellular plasma mSHOX2 DNA yields information about the response to cytotoxic treatment and allows an early assessment of treatment response for lung cancer patients. If confirmed in a larger study this would be a valuable tool for selecting and guiding a cytotoxic treatment.
Expert Review of Respiratory Medicine | 2013
Michael Fleischhacker; Dimo Dietrich; Volker Liebenberg; John K. Field; Bernd Schmidt
It is now widely accepted that cancer is caused by complex interactions between genetic and epigenetic factors and the environment. Only in the last 20 years, DNA methylation has been recognized as an epigenetic mechanism, which plays a major role during the development and progression of cancers. Accordingly, DNA methylation profiling provides a useful source for biomarkers in distinct clinical questions; for example, risk stratification, diagnosis, staging, prognosis and therapy-response prediction. In the last 10 years, not only has an increase in the number of papers published on this subject been seen, but also an impressive technological advancement allowing for the highly sensitive and accurate quantification of DNA methylation biomarkers in challenging sample types. However, the development of a suitable biomarker with appropriate assay technology is not trivial. This is especially true for the choice of biomarkers used for the management of early diagnosis of lung cancer.
BioTechniques | 2009
Christoph Kneip; Bernd Schmidt; Michael Fleischhacker; Anke Seegebarth; Jörn Lewin; Nadja Flemming; Stefanie Seemann; Thomas Schlegel; Christian Witt; Volker Liebenberg; Dimo Dietrich
DNA methylation is an important epigenetic mechanism involved in fundamental biological processes such as development, imprinting, and carcino-genesis. For these reasons, DNA methylation represents a valuable source for cancer biomarkers. Methods for the sensitive and specific detection of methylated DNA are a prerequisite for the implementation of DNA biomarkers into clinical routine when early detection based on the analysis of body fluids is desired. Here, a novel technique is presented for the detection of DNA methylation biomarkers, based on real-time PCR of bisulfite-treated template with enzymatic digestion of background DNA during amplification using the heat-stable enzyme Tsp509I. An assay for the lung cancer methylation biomarker BARHL2 was used to show clinical and analytical performance of the method in comparison with methylation-specific PCR technology. Both technologies showed comparable performance when analyzing technical DNA mixtures and bronchial lavage samples from 75 patients suspected of having lung cancer. The results demonstrate that the approach is useful for sensitive and specific detection of a few copies of methylated DNA in samples with a high background of unmethylated DNA, such as in clinical samples from body fluids.