Literature DB >> 16331622

Serological analysis of human renal cell carcinoma.

Gerard Devitt1, Christiane Meyer, Nicole Wiedemann, Stefan Eichmüller, Annette Kopp-Schneider, Axel Haferkamp, Richard Hautmann, Margot Zöller.   

Abstract

Serological analysis of cDNA expression libraries (SEREX) has proven to be a useful technique in the quest to elucidate the repertoire of immunogenic gene products in human cancer. We have applied the SEREX method to human renal cell carcinoma (RCC) in order to identify associated immunogenic gene products. cDNA expression libraries were prepared from a RCC tumor, a RCC cell line and human testis. The 3 libraries were screened with sera from 35 RCC patients and 15 healthy controls. Approximately 4.5 x 10(6) phage plaques were screened resulting in 234 positive clones, which corresponded to 74 different gene products. The seroreactivity toward 49 of these antigens was assessed. Seroreactivity to 21 (43%) of the antigens was similar in RCC patients and healthy controls, 9 antigens (18%) elicited antibodies more frequently and 19 antigens (39%) solely in RCC patients. In the reverse setting, reactivity of RCC patients' sera was tested against a panel of 44 previously identified "tumor-associated" antigens via the SADA (serum antibody detection array) method; 6 antigens reacted with RCC patients' and healthy donors' sera, 8 were reactive only with RCC patients' sera. From the 27 antigens identified by SEREX and SADA, which did not react with sera from healthy controls, 10 antigens reacted with a significant proportion of RCC patients' sera and 77% of RCC patients' sera reacted at least with one of these antigens. Sera from patients with non-malignant renal diseases or an autoimmune disease did not react with these 10 antigens. 2005 Wiley-Liss, Inc.

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Year:  2006        PMID: 16331622     DOI: 10.1002/ijc.21626

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  8 in total

1.  [Renal cell carcinoma associated proteins. Isolation, cloning and immunogenicity evaluation].

Authors:  A Haferkamp; M Hohenfellner; R Hautmann; M Zöller
Journal:  Urologe A       Date:  2007-09       Impact factor: 0.639

Review 2.  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

3.  CCDC68 predicts poor prognosis in patients with colorectal cancer: a study based on TCGA data.

Authors:  Wei Zhang; Ting-Ting Xu; Zhen-Tao An; Lan-Fu Wei; Chao Gu; Hui Li; Yao-Zhou Tian
Journal:  J Gastrointest Oncol       Date:  2022-04

4.  C4.4A as a candidate marker in the diagnosis of colorectal cancer.

Authors:  C Paret; D Hildebrand; J Weitz; A Kopp-Schneider; A Kuhn; A Beer; R Hautmann; M Zöller
Journal:  Br J Cancer       Date:  2007-10-02       Impact factor: 7.640

5.  Coiled-coil domain containing 68 (CCDC68) demonstrates a tumor-suppressive role in pancreatic ductal adenocarcinoma.

Authors:  N Radulovich; L Leung; E Ibrahimov; R Navab; S Sakashita; C-Q Zhu; E Kaufman; W W Lockwood; K L Thu; Y Fedyshyn; J Moffat; W L Lam; M-S Tsao
Journal:  Oncogene       Date:  2014-11-10       Impact factor: 9.867

6.  The Immunome of Colon Cancer: Functional In Silico Analysis of Antigenic Proteins Deduced from IgG Microarray Profiling.

Authors:  Johana A Luna Coronell; Khulan Sergelen; Philipp Hofer; István Gyurján; Stefanie Brezina; Peter Hettegger; Gernot Leeb; Karl Mach; Andrea Gsur; Andreas Weinhäusel
Journal:  Genomics Proteomics Bioinformatics       Date:  2018-03-02       Impact factor: 7.691

7.  Immunohistochemical analysis of medullary breast carcinoma autoantigens in different histological types of breast carcinomas.

Authors:  Olga Kostianets; Stepan Antoniuk; Valeriy Filonenko; Ramziya Kiyamova
Journal:  Diagn Pathol       Date:  2012-11-26       Impact factor: 2.644

8.  Screening of multiple myeloma by polyclonal rabbit anti-human plasmacytoma cell immunoglobulin.

Authors:  Bo Mu; Huan Zhang; Xiaoming Cai; Junbao Yang; Yuewu Shen; Baofeng Chen; Suhua Liang
Journal:  PLoS One       Date:  2013-04-01       Impact factor: 3.240

  8 in total

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