Literature DB >> 16525647

Differential profiling analysis of proteins involved in anti-proliferative effect of interferon-alpha on renal cell carcinoma cell lines by protein biochip technology.

Kogenta Nakamura1, Kazuhiro Yoshikawa, Yoshiaki Yamada, Shinsuke Saga, Shigeyuki Aoki, Tomohiro Taki, Motoi Tobiume, Toru Shimazui, Hideyuki Akaza, Nobuaki Honda.   

Abstract

Interferon-alpha (IFN) is widely used for the treatment of progressive renal cell carcinoma (RCC), but its effective response rate is only about 15%. New biomarkers of RCC contributing to the effective IFN treatment are needed to establish a sensitivity test for evaluating if the IFN is effective or not against RCC. All the proteins expressed in the IFN-susceptible and -resistant RCC cell lysates were analyzed by surface enhanced laser desorption ionization (SELDI) mass spectrometry using ProteinChip technology and their different protein expression were detected by the comparison of the profiles between them. We detected the following candidate markers that exhibited peak shifts: a) in the IFN-susceptible cell lines, a candidate marker with a molecular weight of 5,688 Da was detected on a hydrophobic (H4) chip: b) in the IFN-resistant cell lines, candidate markers each with a molecular weight of 8,049, 3,157, 3,993, and 8,959 Da were detected on strong anion exchange (SAX2, pH 9.0, two types) chips, H4 chip, and weak cation exchange (WCX, pH 9.0) chips, respectively. IFN treatment produced no weight increase in these four proteins, and c) candidate marker with a molecular weight of 1,623 Da that was expressed in both cell lines after the IFN treatment was detected on the H4 chip. These data suggest that the ProteinChip system is very useful in identifying proteins showing unique peaks in the RCC cell lines with different IFN susceptibility, and the comparison of these proteins measured in RCC cell lysates may help to identify the IFN sensitivity. Furthermore, the discovery of a susceptibility and or a inhibitory factor may eventually lead to the development of a novel drug targeting the respective factor for the improvement of anticancer chemotherapy.

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Year:  2006        PMID: 16525647

Source DB:  PubMed          Journal:  Int J Oncol        ISSN: 1019-6439            Impact factor:   5.650


  4 in total

Review 1.  Key clinical issues in renal cancer: a challenge for proteomics.

Authors:  Rosamonde E Banks; Rachel A Craven; Patricia Harnden; Sanjeev Madaan; Adrian Joyce; Peter J Selby
Journal:  World J Urol       Date:  2007-08-25       Impact factor: 4.226

2.  Successful treatment for metastases from renal cell carcinoma with alternation of interferon-alpha subtypes.

Authors:  Sotaro Miwa; Yoshifumi Kadono; Toshiaki Sugata; Atsushi Mizokami; Mikio Namiki
Journal:  Int J Clin Oncol       Date:  2010-02       Impact factor: 3.402

3.  Establishment and characterization of a highly immunogenic human renal carcinoma cell line.

Authors:  Clelia Prattichizzo; Margherita Gigante; Paola Pontrelli; Alessandro Stella; Maria Teresa Rocchetti; Maddalena Gigante; Eugenio Maiorano; Wolfgang Herr; Michele Battaglia; Loreto Gesualdo; Elena Ranieri
Journal:  Int J Oncol       Date:  2016-05-27       Impact factor: 5.650

Review 4.  Applications of SELDI-MS technology in oncology.

Authors:  L C Whelan; K A R Power; D T McDowell; J Kennedy; W M Gallagher
Journal:  J Cell Mol Med       Date:  2008-02-04       Impact factor: 5.310

  4 in total

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