Literature DB >> 12833523

Identification of markers for the selection of patients undergoing renal cell carcinoma-specific immunotherapy.

Barbara Seliger1, Matthias Menig, Rudolf Lichtenfels, Derek Atkins, Jürgen Bukur, Thomas M Halder, Michael Kersten, Alois Harder, Angelika Ackermann, Joachim Beck, Bernd Muehlenweg, Walburgis Brenner, Sebastian Melchior, Roland Kellner, Friedrich Lottspeich.   

Abstract

Renal cell carcinoma (RCC) represents the most common malignant tumor in the kidney and is resistant to conventional therapies. The diagnosis of RCC is often delayed leading to progression and metastatic spread of the disease. Thus, validated markers for the early detection of the disease as well as selection of patients undergoing specific therapy is urgently needed. Using treatment with the monoclonal antibody (mAb) G250 as a model, proteome-based strategies were implemented for the identification of markers which may allow the discrimination between responders and nonresponders prior to application of G250-mediated immunotherapy. Flow cytometry revealed G250 surface expression in approximately 40% of RCC cell lines, but not in the normal kidney epithelium cell lines. G250 expression levels significantly varied thereby distinguishing between low, medium and high G250 expressing cell lines. Comparisons of two-dimensional gel electrophoresis expression profiles of untreated RCC cell lines versus RCC cell lines treated with a mAb directed against G250 and the characterization of differentially expressed proteins by mass spectrometry and/or Edman sequencing led to the identification of proteins such as chaperones, antigen processing components, transporters, metabolic enzymes, cytoskeletal proteins and unknown proteins. Moreover, some of these differentially expressed proteins matched with immunoreactive proteins previously identified by proteome analysis combined with immunoblotting using sera from healthy donors and RCC patients, a technique called PROTEOMEX. Immunohistochemical analysis of a panel of surgically removed RCC lesions and corresponding normal kidney epithelium confirmed the heterogeneous expression pattern found by proteome-based technologies. In conclusion, conventional proteome analysis as well as PROTEOMEX could be successfully employed for the identification of markers which may allow the selection of patients prior to specific immunotherapy.

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Year:  2003        PMID: 12833523     DOI: 10.1002/pmic.200300404

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  7 in total

1.  LncRNA CCAT1 inhibits cell apoptosis of renal cell carcinoma through up-regulation of Livin protein.

Authors:  Shaoan Chen; Pengpeng Ma; Bin Li; Dawei Zhu; Xiude Chen; Yuzhu Xiang; Tengteng Wang; Xiangbin Ren; Chuan Liu; Xunbo Jin
Journal:  Mol Cell Biochem       Date:  2017-05-03       Impact factor: 3.396

2.  Linkage of microRNA and proteome-based profiling data sets: a perspective for the priorization of candidate biomarkers in renal cell carcinoma?

Authors:  Barbara Seliger; Simon Jasinski; Sven P Dressler; Francesco M Marincola; Christian V Recktenwald; Ena Wang; Rudolf Lichtenfels
Journal:  J Proteome Res       Date:  2011-01-07       Impact factor: 4.466

3.  Combined analysis of transcriptome and proteome data as a tool for the identification of candidate biomarkers in renal cell carcinoma.

Authors:  Barbara Seliger; Sven P Dressler; Ena Wang; Roland Kellner; Christian V Recktenwald; Friedrich Lottspeich; Francesco M Marincola; Maja Baumgärtner; Derek Atkins; Rudolf Lichtenfels
Journal:  Proteomics       Date:  2009-03       Impact factor: 3.984

4.  Identification of proteins differentially expressed in the conventional renal cell carcinoma by proteomic analysis.

Authors:  Jeong Seok Hwa; Hyo Jin Park; Jae Hun Jung; Sung Chul Kam; Hyung Chul Park; Choong Won Kim; Kee Ryeon Kang; Jea Seog Hyun; Ky Hyun Chung
Journal:  J Korean Med Sci       Date:  2005-06       Impact factor: 2.153

5.  Systematic comparative protein expression profiling of clear cell renal cell carcinoma: a pilot study based on the separation of tissue specimens by two-dimensional gel electrophoresis.

Authors:  Rudolf Lichtenfels; Sven P Dressler; Monica Zobawa; Christian V Recktenwald; Angelika Ackermann; Derek Atkins; Michael Kersten; Andrea Hesse; Maria Puttkammer; Friedrich Lottspeich; Barbara Seliger
Journal:  Mol Cell Proteomics       Date:  2009-09-14       Impact factor: 5.911

6.  Comparative STAT3-Regulated Gene Expression Profile in Renal Cell Carcinoma Subtypes.

Authors:  Rebekah L Robinson; Ashok Sharma; Shan Bai; Saleh Heneidi; Tae Jin Lee; Sai Karthik Kodeboyina; Nikhil Patel; Shruti Sharma
Journal:  Front Oncol       Date:  2019-02-26       Impact factor: 6.244

Review 7.  From bench to bedside: current and future applications of molecular profiling in renal cell carcinoma.

Authors:  Androu Arsanious; Georg A Bjarnason; George M Yousef
Journal:  Mol Cancer       Date:  2009-03-17       Impact factor: 27.401

  7 in total

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