Literature DB >> 15796914

Proteomics-based identification of DEAD-box protein 48 as a novel autoantigen, a prospective serum marker for pancreatic cancer.

Qing Xia1, Xian-Tao Kong, Guo-An Zhang, Xiao-Jin Hou, Hua Qiang, Ren-Qian Zhong.   

Abstract

Patients with cancer frequently develop autoantibodies, and the identification of panels of tumor autoantigens may have utility in early cancer diagnosis and immunotherapy. This study aims to exploit the autoantibody repertoire in pancreatic cancer and identify the possible serum marker for pancreatic cancer. Sera from 55 newly diagnosed patients with pancreatic cancer and 52 healthy controls were analyzed for antibody-based reactivity against Hep-2, a human larynx epithelioma cancer cell line, with one-dimensional immunoblot assay. From this analysis, we observed a prominent band with a molecular weight of 47 kDa in 63.64% (35/55) patients, while in only 1.9% normal group (1/52). Using immunoblot analysis after two-dimensional electrophoresis combined with liquid chromatography-electrospray ionization tandem mass spectrometry, this target antigen was identified as DEAD-box protein 48 (DDX48). BLAST analysis showed that it was highly similar to eukaryotic initiation factor 4A and might play a role in pre-mRNA processing. An enzyme-linked immunosorbent assay was performed using recombinant, purified DDX48 as an antigen to detect anti-DDX48 autoantibodies in sera. Reactivity was observed in 20 of 60 (33.33%) pancreatic cancer patients, 3 of 30 (10.00%) colorectal cancer patients, 2 of 30 (6.67%) gastric cancer patients, 2 of 30 (6.67%) hepatocellular cancer patients, while none of the 20 chronic pancreatitis patients, 30 lung cancer patients, and 60 normal individuals. Together, these results demonstrate that the detection of autoantibodies to DDX48 may have clinical utility for the improved diagnosis of pancreatic cancer.

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Year:  2005        PMID: 15796914     DOI: 10.1016/j.bbrc.2005.02.181

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  20 in total

Review 1.  [Proteome analysis--basis for individualized pancreatic carcinoma therapy?].

Authors:  J M Löhr; R Faissner; P Findeisen; M Neumaier
Journal:  Internist (Berl)       Date:  2006-06       Impact factor: 0.743

2.  The identification of auto-antibodies in pancreatic cancer patient sera using a naturally fractionated Panc-1 cell line.

Authors:  Chen Li; Hye-Yeung Kim; Huy Vuong; Tasneem Patwa; Manoj Pal; Randall E Brand; Diane M Simeone; David M Lubman
Journal:  Cancer Biomark       Date:  2010       Impact factor: 4.388

Review 3.  Tumor-associated antigen arrays for the serological diagnosis of cancer.

Authors:  Carlos A Casiano; Melanie Mediavilla-Varela; Eng M Tan
Journal:  Mol Cell Proteomics       Date:  2006-05-29       Impact factor: 5.911

Review 4.  Proteomics analysis of bodily fluids in pancreatic cancer.

Authors:  Sheng Pan; Teresa A Brentnall; Ru Chen
Journal:  Proteomics       Date:  2015-04-27       Impact factor: 3.984

5.  Potential of soluble CD26 as a serum marker for colorectal cancer detection.

Authors:  Oscar J Cordero; Monica Imbernon; Loretta De Chiara; Vicenta S Martinez-Zorzano; Daniel Ayude; Maria Paez de la Cadena; F Javier Rodriguez-Berrocal
Journal:  World J Clin Oncol       Date:  2011-06-10

Review 6.  Human body fluid proteome analysis.

Authors:  Shen Hu; Joseph A Loo; David T Wong
Journal:  Proteomics       Date:  2006-12       Impact factor: 3.984

Review 7.  Proteomic and metabolic prediction of response to therapy in gastric cancer.

Authors:  Michaela Aichler; Birgit Luber; Florian Lordick; Axel Walch
Journal:  World J Gastroenterol       Date:  2014-10-14       Impact factor: 5.742

8.  The identification of phosphoglycerate kinase-1 and histone H4 autoantibodies in pancreatic cancer patient serum using a natural protein microarray.

Authors:  Tasneem H Patwa; Chen Li; Laila M Poisson; Hye-Yeung Kim; Manoj Pal; Debashis Ghosh; Diane M Simeone; David M Lubman
Journal:  Electrophoresis       Date:  2009-06       Impact factor: 3.535

Review 9.  Proteomic and metabolic prediction of response to therapy in gastrointestinal cancers.

Authors:  Ken Herrmann; Axel Walch; Benjamin Balluff; Marc Tänzer; Heinz Höfler; Bernd J Krause; Markus Schwaiger; Helmut Friess; Roland M Schmid; Matthias P A Ebert
Journal:  Nat Clin Pract Gastroenterol Hepatol       Date:  2009-03

10.  Quantitative Proteomics Identifies Activation of Hallmark Pathways of Cancer in Patient Melanoma.

Authors:  Stephanie D Byrum; Signe K Larson; Nathan L Avaritt; Linley E Moreland; Samuel G Mackintosh; Wang L Cheung; Alan J Tackett
Journal:  J Proteomics Bioinform       Date:  2013-03-01
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