Literature DB >> 18676746

Pattern of serum autoantibodies allows accurate distinction between a tumor and pathologies of the same organ.

Nicole Ludwig1, Andreas Keller, Nicole Comtesse, Stefanie Rheinheimer, Christian Pallasch, Ulrike Fischer, Klaus Fassbender, Wolf Ingo Steudel, Hans-Peter Lenhof, Eckart Meese.   

Abstract

PURPOSE: Recent studies impressively showed the diagnostic potential of seroreactivity patterns for different tumor types, offering the prospect for low-cost screening of numerous tumor types simultaneously. One of the major challenges toward this goal is to prove that seroreactivity profiles do not only allow for identifying a tumor but also allow for distinguishing tumors from other pathologies of the same organ. EXPERIMENTAL
DESIGN: We chose glioma as a model system and tested 325 sera (88 glioma, 95 intracranial tumors, 60 other brain pathologies, and 82 healthy controls) for seroreactivity on a panel of 35 antigens.
RESULTS: We were able to discriminate between glioma and all other sera with cross-validated specificity of 86.1%, sensitivity of 85.2%, and accuracy of 85.8%. We obtained comparably good results for the separation of glioma versus nontumor brain pathologies and glioma versus other intracranial tumors.
CONCLUSION: Our study provides first evidence that seroreactivity patterns allow for an accurate discrimination between a tumor and pathologies of the same organ even between different tumor types of the same organ.

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Year:  2008        PMID: 18676746     DOI: 10.1158/1078-0432.CCR-07-4715

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  11 in total

1.  Improving seroreactivity-based detection of glioma.

Authors:  Nicole Ludwig; Andreas Keller; Sabrina Heisel; Petra Leidinger; Veronika Klein; Stefanie Rheinheimer; Claudia U Andres; Bernhard Stephan; Wolf-Ingo Steudel; Norbert M Graf; Bernhard Burgeth; Joachim Weickert; Hans-Peter Lenhof; Eckart Meese
Journal:  Neoplasia       Date:  2009-12       Impact factor: 5.715

2.  Immunogenicity of autoantigens.

Authors:  Christina Backes; Nicole Ludwig; Petra Leidinger; Christian Harz; Jana Hoffmann; Andreas Keller; Eckart Meese; Hans-Peter Lenhof
Journal:  BMC Genomics       Date:  2011-07-04       Impact factor: 3.969

3.  Identification of miRNAs as potential new biomarkers for nervous system cancer.

Authors:  Yong Wang; Jinchuan Liang; Cuili Di; Guiliang Zhao; Yaqun Zhao
Journal:  Tumour Biol       Date:  2014-08-20

Review 4.  Usage of cancer associated autoantibodies in the detection of disease.

Authors:  Steven P Dudas; Madhumita Chatterjee; Michael A Tainsky
Journal:  Cancer Biomark       Date:  2010       Impact factor: 4.388

5.  Serum GFAP autoantibody as an ELISA-detectable glioma marker.

Authors:  Ping Wei; Wei Zhang; Liu-Song Yang; Hai-Shi Zhang; Xiao-En Xu; Ying-Hua Jiang; Feng-Ping Huang; Qian Shi
Journal:  Tumour Biol       Date:  2013-04-16

Review 6.  Systems biology coupled with label-free high-throughput detection as a novel approach for diagnosis of chronic obstructive pulmonary disease.

Authors:  Joanna L Richens; Richard A Urbanowicz; Elizabeth A M Lunt; Rebecca Metcalf; Jonathan Corne; Lucy Fairclough; Paul O'Shea
Journal:  Respir Res       Date:  2009-04-22

7.  An integrated genome-wide approach to discover tumor-specific antigens as potential immunologic and clinical targets in cancer.

Authors:  Qing-Wen Xu; Wei Zhao; Yue Wang; Maureen A Sartor; Dong-Mei Han; Jixin Deng; Rakesh Ponnala; Jiang-Ying Yang; Qing-Yun Zhang; Guo-Qing Liao; Yi-Mei Qu; Lu Li; Fang-Fang Liu; Hong-Mei Zhao; Yan-Hui Yin; Wei-Feng Chen; Yu Zhang; Xiao-Song Wang
Journal:  Cancer Res       Date:  2012-11-07       Impact factor: 12.701

8.  Identification of novel SNPs in glioblastoma using targeted resequencing.

Authors:  Andreas Keller; Christian Harz; Mark Matzas; Benjamin Meder; Hugo A Katus; Nicole Ludwig; Ulrike Fischer; Eckart Meese
Journal:  PLoS One       Date:  2011-06-10       Impact factor: 3.240

9.  Methyl-binding domain protein-based DNA isolation from human blood serum combines DNA analyses and serum-autoantibody testing.

Authors:  Matthias Wielscher; Walter Pulverer; Johannes Peham; Manuela Hofner; Christine F Rappaport; Christian Singer; Christof Jungbauer; Christa Nöhammer; Andreas Weinhäusel
Journal:  BMC Clin Pathol       Date:  2011-09-06

10.  Myasthenia gravis: analysis of serum autoantibody reactivities to 1827 potential human autoantigens by protein macroarrays.

Authors:  Anne Becker; Nicole Ludwig; Andreas Keller; Björn Tackenberg; Christian Eienbröker; Wolfgang H Oertel; Klaus Fassbender; Eckart Meese; Klemens Ruprecht
Journal:  PLoS One       Date:  2013-03-04       Impact factor: 3.240

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