Literature DB >> 16491405

[Identification of biomarkers and therapeutic targets for renal cell cancer using ProteinChip technology].

K Junker1, F von Eggeling, J Müller, T Steiner, J Schubert.   

Abstract

In order to understand tumour biology in its complexity, it is necessary to investigate the proteomics in addition to the DNA and RNA level. SELDI-TOF-MS represents a new technology allowing a highly sensitive high-throughput analysis to detect specific protein profiles. In renal cancer, it was possible to define specific protein patterns in serum. Several proteins have been identified, i.e. serum amyloid alpha (SAA). Analysis of tumour tissues leads to a better understanding of tumour biology and provides the basis for differential classification and evaluation of prognosis. Investigation of the proteome concerning therapy results opens up the possibility of assessing downstream effects on the one hand and identifying biomarkers for selection of patients and therapy monitoring on the other hand. This review presents the first results for renal cancer.

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Year:  2006        PMID: 16491405     DOI: 10.1007/s00120-006-1001-2

Source DB:  PubMed          Journal:  Urologe A        ISSN: 0340-2592            Impact factor:   0.639


  31 in total

1.  Urine protein profiling with surface-enhanced laser-desorption/ionization time-of-flight mass spectrometry.

Authors:  Stefan Schaub; John Wilkins; Tracey Weiler; Kevin Sangster; David Rush; Peter Nickerson
Journal:  Kidney Int       Date:  2004-01       Impact factor: 10.612

2.  Proteohistography--direct analysis of tissue with high sensitivity and high spatial resolution using ProteinChip technology.

Authors:  Günther Ernst; Christian Melle; Bettina Schimmel; Annett Bleul; Ferdinand von Eggeling
Journal:  J Histochem Cytochem       Date:  2005-09-07       Impact factor: 2.479

3.  Spot overlapping in two-dimensional maps: a serious problem ignored for much too long.

Authors:  Natascia Campostrini; Liliana B Areces; Juri Rappsilber; Maria Chiara Pietrogrande; Francesco Dondi; Fabio Pastorino; Mirco Ponzoni; Pier Giorgio Righetti
Journal:  Proteomics       Date:  2005-06       Impact factor: 3.984

4.  Search for a novel biomarker for the brain cancer astrocytoma by using surface enhanced laser desorption/ionisation (SELDI) technique.

Authors:  H Banerjee; Z Hawkins; J Williams; M Blackshear; C Sawyer; L Cezares; S K Pramanik; A Williams
Journal:  Cell Mol Biol (Noisy-le-grand)       Date:  2004-09       Impact factor: 1.770

5.  ProteinChip technology reveals distinctive protein expression profiles in the urine of bladder cancer patients.

Authors:  J Mueller; F von Eggeling; D Driesch; J Schubert; C Melle; K Junker
Journal:  Eur Urol       Date:  2005-03-11       Impact factor: 20.096

6.  Use of proteomic patterns in serum to identify ovarian cancer.

Authors:  Emanuel F Petricoin; Ali M Ardekani; Ben A Hitt; Peter J Levine; Vincent A Fusaro; Seth M Steinberg; Gordon B Mills; Charles Simone; David A Fishman; Elise C Kohn; Lance A Liotta
Journal:  Lancet       Date:  2002-02-16       Impact factor: 79.321

7.  Identification of protein pattern in kidney cancer using ProteinChip arrays and bioinformatics.

Authors:  Kerstin Junker; Jana Gneist; Christian Melle; Dominik Driesch; Joerg Schubert; Uwe Claussen; Ferdinand Von Eggeling
Journal:  Int J Mol Med       Date:  2005-02       Impact factor: 4.101

8.  Proteomics and bioinformatics approaches for identification of serum biomarkers to detect breast cancer.

Authors:  Jinong Li; Zhen Zhang; Jason Rosenzweig; Young Y Wang; Daniel W Chan
Journal:  Clin Chem       Date:  2002-08       Impact factor: 8.327

9.  ProteinChip Array analysis of microdissected colorectal carcinoma and associated tumor stroma shows specific protein bands in the 3.4 to 3.6 kDa range.

Authors:  Rene C Krieg; Franz Fogt; Till Braunschweig; Paul C Herrmann; Volker Wollscheidt; Axel Wellmann
Journal:  Anticancer Res       Date:  2004 May-Jun       Impact factor: 2.480

10.  Proteomic profiling of urinary proteins in renal cancer by surface enhanced laser desorption ionization and neural-network analysis: identification of key issues affecting potential clinical utility.

Authors:  Mark A Rogers; Paul Clarke; Jason Noble; Nicholas P Munro; Alan Paul; Peter J Selby; Rosamonde E Banks
Journal:  Cancer Res       Date:  2003-10-15       Impact factor: 12.701

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  6 in total

Review 1.  Basic research in kidney cancer.

Authors:  Egbert Oosterwijk; W Kimryn Rathmell; Kerstin Junker; A Rose Brannon; Frédéric Pouliot; David S Finley; Peter F A Mulders; Ziya Kirkali; Hirotsugo Uemura; Arie Belldegrun
Journal:  Eur Urol       Date:  2011-07-05       Impact factor: 20.096

2.  Serum amyloid a protein in clinical cancer diagnosis.

Authors:  Chibo Liu
Journal:  Pathol Oncol Res       Date:  2011-09-08       Impact factor: 3.201

3.  [Renal cell carcinoma 2008. Histopathology, molecular genetics and new therapeutic options].

Authors:  C G Hammerschmied; B Walter; A Hartmann
Journal:  Pathologe       Date:  2008-09       Impact factor: 1.011

Review 4.  Serum amyloid A: an acute-phase protein involved in tumour pathogenesis.

Authors:  E Malle; S Sodin-Semrl; A Kovacevic
Journal:  Cell Mol Life Sci       Date:  2009-01       Impact factor: 9.261

5.  High SAA1 Expression Predicts Advanced Tumors in Renal Cancer.

Authors:  Sen Li; Yongbiao Cheng; Gong Cheng; Tianbo Xu; Yuzhong Ye; Qi Miu; Qi Cao; Xiong Yang; Hailong Ruan; Xiaoping Zhang
Journal:  Front Oncol       Date:  2021-05-18       Impact factor: 6.244

Review 6.  Contribution of oncoproteomics to cancer biomarker discovery.

Authors:  William C S Cho
Journal:  Mol Cancer       Date:  2007-04-02       Impact factor: 27.401

  6 in total

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