Literature DB >> 16714762

Mass spectrometric identification of human prostate cancer-derived proteins in serum of xenograft-bearing mice.

Gert-Jan C M van den Bemd1, Jeroen Krijgsveld, Theo M Luider, Angelique L van Rijswijk, Jeroen A A Demmers, Guido Jenster.   

Abstract

Lack of sensitivity and specificity of current tumor markers has intensified research efforts to find new biomarkers. The identification of potential tumor markers in human body fluids is hampered by large variability and complexity of both control and patient samples, laborious biochemical analyses, and the fact that the identified proteins are unlikely produced by the diseased cells but are due to secondary body defense mechanisms. In a new approach presented here, we eliminate these problems by performing proteomic analysis in a prostate cancer xenograft model in which human prostate cancer cells form a tumor in an immune-incompetent nude mouse. Using this concept, proteins present in mouse serum that can be identified as human will, by definition, originate from the human prostate cancer xenograft and might have potential diagnostic and prognostic value. Using one-dimensional gel electrophoresis, liquid chromatography, and mass spectrometry, we identified tumor-derived human nm23/nucleoside-diphosphate kinase (NME) in the serum of a nude mouse bearing the androgen-independent human prostate cancer xenograft PC339. NME is known to be involved in the metastatic potential of several tumor cells, including prostate cancer cells. Furthermore we identified six human enzymes involved in glycolysis (fructose-bisphosphate aldolase A, triose-phosphate isomerase, glyceraldehyde-3-phosphate dehydrogenase, alpha enolase, and lactate dehydrogenases A and B) in the serum of the tumor-bearing mice. The presence of human NME and glyceraldehyde-3-phosphate dehydrogenase in the serum of PC339-bearing mice was confirmed by Western blotting. Although the putative usefulness of these proteins in predicting prognosis of prostate cancer remains to be determined, the present data illustrate that our approach is a promising tool for the focused discovery of new prostate cancer biomarkers.

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Year:  2006        PMID: 16714762     DOI: 10.1074/mcp.M500371-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  8 in total

1.  Identification of glycoproteins from mouse skin tumors and plasma.

Authors:  Yuan Tian; Karen S Kelly-Spratt; Christopher J Kemp; Hui Zhang
Journal:  Clin Proteomics       Date:  2008-12-01       Impact factor: 3.988

2.  A xenograft mouse model coupled with in-depth plasma proteome analysis facilitates identification of novel serum biomarkers for human ovarian cancer.

Authors:  Hsin-Yao Tang; Lynn A Beer; Tony Chang-Wong; Rachel Hammond; Phyllis Gimotty; George Coukos; David W Speicher
Journal:  J Proteome Res       Date:  2011-11-18       Impact factor: 4.466

3.  Proteomic analysis of pancreatic intraepithelial neoplasia and pancreatic carcinoma in rat models.

Authors:  Lei Wang; Hai-Lin Liu; Ya Li; Ping Yuan
Journal:  World J Gastroenterol       Date:  2011-03-21       Impact factor: 5.742

4.  Exosomal secretion of cytoplasmic prostate cancer xenograft-derived proteins.

Authors:  Flip H Jansen; Jeroen Krijgsveld; Angelique van Rijswijk; Gert-Jan van den Bemd; Mirella S van den Berg; Wytske M van Weerden; Rob Willemsen; Lennard J Dekker; Theo M Luider; Guido Jenster
Journal:  Mol Cell Proteomics       Date:  2009-02-09       Impact factor: 5.911

5.  Identification of triosephosphate isomerase as an anti-drug resistance agent in human gastric cancer cells using functional proteomic analysis.

Authors:  Xin Wang; Yuanyuan Lu; Jinghua Yang; Yongquan Shi; Mei Lan; Zhenxiong Liu; Huihong Zhai; Daiming Fan
Journal:  J Cancer Res Clin Oncol       Date:  2008-02-29       Impact factor: 4.553

6.  Identification of kinase inhibitor targets in the lung cancer microenvironment by chemical and phosphoproteomics.

Authors:  Manuela Gridling; Scott B Ficarro; Florian P Breitwieser; Lanxi Song; Katja Parapatics; Jacques Colinge; Eric B Haura; Jarrod A Marto; Giulio Superti-Furga; Keiryn L Bennett; Uwe Rix
Journal:  Mol Cancer Ther       Date:  2014-09-04       Impact factor: 6.261

7.  Quantitative proteomic analysis of human lung tumor xenografts treated with the ectopic ATP synthase inhibitor citreoviridin.

Authors:  Yi-Hsuan Wu; Chia-Wei Hu; Chih-Wei Chien; Yu-Ju Chen; Hsuan-Cheng Huang; Hsueh-Fen Juan
Journal:  PLoS One       Date:  2013-08-21       Impact factor: 3.240

8.  Cell-selective labeling using amino acid precursors for proteomic studies of multicellular environments.

Authors:  Nicholas P Gauthier; Boumediene Soufi; William E Walkowicz; Virginia A Pedicord; Konstantinos J Mavrakis; Boris Macek; David Y Gin; Chris Sander; Martin L Miller
Journal:  Nat Methods       Date:  2013-06-30       Impact factor: 28.547

  8 in total

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