Andrea S. Bauer

Dr. Andrea S. Bauer

orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2012 in Journal of Proteomics
Verified
Journal Article
Closed access
MAMohamed Saiel Saeed Alhamdani
Mohamed Saiel Saeed Alhamdani
PYProf. M. Youns
Prof. M. Youns
MBMalte Buchholz
Malte Buchholz
TGThomas M Gress
Thomas M Gress
MBMarie-Claire Beckers
Marie-Claire Beckers
JHJörg Hoheisel
Jörg Hoheisel

14 December 2022 in Clinical Cancer Research
Verified
Journal Article
Open access
PDF file
CZChaoyang Zhang
Chaoyang Zhang
FAFawaz N. Al-Shaheri
Fawaz N. Al-Shaheri
MAMohamed Saiel Saeed. Alhamdani
Mohamed Saiel Saeed. Alhamdani
ABAndrea S. Bauer
Andrea S. Bauer
JHJörg Hoheisel
Jörg Hoheisel
SRSusanne Roth
Susanne Roth
Purpose: Intraductal papillary mucinous neoplasm (IPMN) is a precursor of pancreatic ductal adenocarcinoma. Low-grade dysplasia has a relatively good prognosis, whereas high-grade dysplasia and IPMN invasive carcinoma require surgical intervention. However, diagnostic distinction is difficult. We aimed to identify biomarkers in peripheral blood for accurate discrimination. Experimental Design: Sera were obtained from 302 patients with IPMNs and 88 healthy donors. For protein biomarkers, serum samples were analyzed on microarrays made of 2,977 antibodies. A support vector machine (SVM) algorithm was applied to define classifiers, which were validated on a separate sample set. For microRNA biomarkers, a PCR-based screen was performed for discovery. Biomarker candidates confirmed by quantitative PCR were used to train SVM classifiers, followed by validation in a different sample set. Finally, a combined SVM classifier was established entirely independent of the earlier analyses, again using different samples for training and validation. Results: Panels of 26 proteins or seven microRNAs could distinguish high- and low-risk IPMN with an AUC value of 95% and 94%, respectively. Upon combination, a panel of five proteins and three miRNAs yielded an AUC of 97%. These values were much better than those obtained in the same patient cohort by using the guideline criteria for discrimination. In addition, accurate discrimination was achieved between other patient subgroups. Conclusions: Protein and microRNA biomarkers in blood allow precise diagnosis and risk stratification of IPMN cases, which should improve patient management and thus the prognosis of IPMN patients. See related commentary by Löhr and Pantel, p. 1387

Verified
Journal Article
Open access
PDF file
SGSahar Ghassem-Zadeh
Sahar Ghassem-Zadeh
KHKatrin Hufnagel
Katrin Hufnagel
ABAndrea S. Bauer
Andrea S. Bauer
JFjean louis Frossard
jean louis Frossard
MYMasaru Yoshida
Masaru Yoshida
KFKlaus Felix
Klaus Felix
Identification of disease-associated autoantibodies is of high importance. Their assessment could complement current diagnostic modalities and assist the clinical management of patients. We aimed at developing and validating high-throughput protein microarrays able to screen patients’ sera to determine disease-specific autoantibody-signatures for pancreatic cancer (PDAC), chronic pancreatitis (CP), autoimmune pancreatitis and their subtypes (AIP-1 and AIP-2). In-house manufactured microarrays were used for autoantibody-profiling of IgG-enriched preoperative sera from PDAC-, CP-, AIP-1-, AIP-2-, other gastrointestinal disease (GID) patients and healthy controls. As a top-down strategy, three different fluorescence detection-based protein-microarrays were used: large with 6400, intermediate with 345, and small with 36 full-length human recombinant proteins. Large-scale analysis revealed 89 PDAC, 98 CP and 104 AIP immunogenic antigens. Narrowing the selection to 29 autoantigens using pooled sera first and individual sera afterwards allowed a discrimination of CP and AIP from PDAC. For validation, predictive models based on the identified antigens were generated which enabled discrimination between PDAC and AIP-1 or AIP-2 yielded high AUC values of 0.940 and 0.925, respectively. A new repertoire of autoantigens was identified and their assembly as a multiplex test will provide a fast and cost-effective tool for differential diagnosis of pancreatic diseases with high clinical relevance.

28 May 2021 in Viruses
Verified
Journal Article
Open access
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MNMatthias Neulinger-Munoz
Matthias Neulinger-Munoz
DSDominik Schaack
Dominik Schaack
SGSvetlana P. Grekova
Svetlana P. Grekova
ABAndrea S. Bauer
Andrea S. Bauer
TGThomas Giese
Thomas Giese
NGNathalia Giese
Nathalia Giese
Although the oncolytic parvovirus H-1PV has entered clinical trials, predicting therapeutic success remains challenging. We investigated whether the antiviral state in tumor cells determines the parvoviral oncolytic efficacy. The interferon/interferon-stimulated genes (IFN/ISG)-circuit and its major configurator, human endogenous retroviruses (HERVs), were evaluated using qRT-PCR, ELISA, Western blot, and RNA-Seq techniques. In pancreatic cancer cell lines, H-1PV caused a late global shutdown of innate immunity, whereby the concomitant inhibition of HERVs and IFN/ISGs was co-regulatory rather than causative. The growth-inhibitory IC50 doses correlated with the power of suppression but not with absolute ISG levels. Moreover, H-1PV was not sensitive to exogenous IFN despite upregulated antiviral ISGs. Such resistance questioned the biological necessity of the oncotropic ISG-shutdown, which instead might represent a surrogate marker for personalized oncolytic efficacy. The disabled antiviral homeostasis may modify the activity of other viruses, as demonstrated by the reemergence of endogenous AluY-retrotransposons. This way of suppression may compromise the interferogenicity of drugs having gemcitabine-like mechanisms of action. This shortcoming in immunogenic cell death induction is however amendable by immune cells which release IFN in response to H-1PV.

22 July 2022 in Cancers
Verified
Journal Article
Open access
PDF file
NBNiall Brindl
Niall Brindl
HBHenning Boekhoff
Henning Boekhoff
ABAndrea S. Bauer
Andrea S. Bauer
MGMatthias M. Gaida
Matthias M. Gaida
HDHien Dang
Hien Dang
KFKlaus Felix
Klaus Felix
(1) Background: A reliable non-invasive distinction between low- and high-risk pancreatic intraductal papillary mucinous neoplasms (IPMN) is needed to effectively detect IPMN with malignant potential. This would improve preventative care and reduce the risk of developing pancreatic cancer and overtreatment. The present study aimed at exploring the presence of autoreactive antibodies in the blood of patients with IPMN of various grades of dysplasia. (2) Methods: A single-center cohort was studied composed of 378 serum samples from patients with low-grade IPMN (n = 91), high-grade IPMN (n = 66), IPMN with associated invasive cancer (n = 30), pancreatic ductal adenocarcinoma (PDAC) stages T1 (n = 24) and T2 (n = 113), and healthy controls (n = 54). A 249 full-length recombinant human protein microarray was used for profiling the serum samples. (3) Results: 14 proteins were identified as potential biomarkers for grade distinction in IPMN, yielding high specificity but mediocre sensitivity. (4) Conclusions: The identified autoantibodies are potential biomarkers that may assist in the detection of malignancy in IPMN patients.

1 January 2004
Verified
Book Chapter
Closed access
PDF file
VBVerena Beier
Verena Beier
ABAndrea S. Bauer
Andrea S. Bauer
MBMichael Baum
Michael Baum
JHJörg Hoheisel
Jörg Hoheisel