Literature DB >> 29180334

[Quantitative and comparative proteomics analysis in clear cell renal cell carcinoma and adjacent noncancerous tissues by 2-D DIGE].

Zhuang-Fei Chen1, Yao-Jun Xiao, Ze-Hai Huang, Tong Chen, Shan-Chao Zhao, Yao-Dong Jiang, Peng Wu, Shao-Bin Zheng.   

Abstract

OBJECTIVE: To identify specific protein markers for renal cell carcinoma detection and diagnosis, as well as develop new potential therapeutic targets of the disease.
METHODS: We used two-dimensional difference in-gel electrophoresis (2-D DIGE) technique conjunction with mass spectrometry (MS) for the identification of significant differentially expressed proteins between 15cases of paired clear cell renal cell carcinoma (ccRCC) and adjacent normal renal tissues. The protein spots were considered as differentially expressed if a 1.5-fold altered expression level was observed (Student's t test, P value<0.05).
RESULTS: Of the 27 differentially expressed protein spots, 26 proteins were successfully identified. 11 proteins up-regulated in renal cell carcinoma,15 proteins down-regulated. Among them Short/branched chain specific acyl-CoA dehydrogenase, mitochondrial (ACDSB), Aldose 1-epimerase (GALM), Peroxiredoxin-4 (PRDX4), Macrophage-capping protein (CAPG), Beta-defensin 107 (D107A), Microfibril-associated glycoprotein 4 (MFAP4) were first time screening as new differential expressed proteins by protomic study in renal cell carcinoma.
CONCLUSIONS: 2-D DIGE is a useful technique for screening and analysis differential expressed proteins in renal cell carcinoma. These new differently expressed proteins may be useful for development new molecular markers for the tumor.

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Year:  2017        PMID: 29180334      PMCID: PMC6779643     

Source DB:  PubMed          Journal:  Nan Fang Yi Ke Da Xue Xue Bao        ISSN: 1673-4254


  26 in total

1.  Proteomics identified nuclear N-myc downstream-regulated gene 1 as a prognostic tissue biomarker candidate in renal cell carcinoma.

Authors:  Noriyuki Hosoya; Marimu Sakumoto; Yukiko Nakamura; Takafumi Narisawa; Vladimir Bilim; Teiichi Motoyama; Yoshihiko Tomita; Tadashi Kondo
Journal:  Biochim Biophys Acta       Date:  2013-08-30

2.  Label-free quantitative proteomic analysis reveals potential biomarkers and pathways in renal cell carcinoma.

Authors:  Zuohui Zhao; Fei Wu; Sentai Ding; Liang Sun; Zhao Liu; Kejia Ding; Jiaju Lu
Journal:  Tumour Biol       Date:  2014-10-15

3.  Identification and validation of TGFBI as a promising prognosis marker of clear cell renal cell carcinoma.

Authors:  Souhil Lebdai; Gregory Verhoest; Hemang Parikh; Solène Florence Jacquet; Karim Bensalah; Denis Chautard; Nathalie Rioux Leclercq; Abdel Rahmène Azzouzi; Pierre Bigot
Journal:  Urol Oncol       Date:  2014-07-14       Impact factor: 3.498

4.  2D differential in-gel electrophoresis for the identification of esophageal scans cell cancer-specific protein markers.

Authors:  Ge Zhou; Hongmei Li; Dianne DeCamp; She Chen; Hongjun Shu; Yi Gong; Michael Flaig; John W Gillespie; Nan Hu; Philip R Taylor; Michael R Emmert-Buck; Lance A Liotta; Emanuel F Petricoin; Yingming Zhao
Journal:  Mol Cell Proteomics       Date:  2002-02       Impact factor: 5.911

5.  Evaluation of two-dimensional differential gel electrophoresis for proteomic expression analysis of a model breast cancer cell system.

Authors:  Severine Gharbi; Piers Gaffney; Alice Yang; Marketa J Zvelebil; Rainer Cramer; Michael D Waterfield; John F Timms
Journal:  Mol Cell Proteomics       Date:  2002-02       Impact factor: 5.911

Review 6.  Renal cell carcinoma.

Authors:  Brian I Rini; Steven C Campbell; Bernard Escudier
Journal:  Lancet       Date:  2009-03-05       Impact factor: 79.321

7.  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

8.  Stage-related alterations in renal cell carcinoma--comprehensive quantitative analysis by 2D-DIGE and protein network analysis.

Authors:  Heike Junker; Simone Venz; Uwe Zimmermann; Andrea Thiele; Christian Scharf; Reinhard Walther
Journal:  PLoS One       Date:  2011-07-07       Impact factor: 3.240

9.  Pathway analysis of kidney cancer using proteomics and metabolic profiling.

Authors:  Bertrand Perroud; Jinoo Lee; Nelly Valkova; Amy Dhirapong; Pei-Yin Lin; Oliver Fiehn; Dietmar Kültz; Robert H Weiss
Journal:  Mol Cancer       Date:  2006-11-24       Impact factor: 27.401

10.  Identification of Protein Markers Specific for Papillary Renal Cell Carcinoma Using Imaging Mass Spectrometry.

Authors:  Chan Hyun Na; Ji Hye Hong; Wan Sup Kim; Selina Rahman Shanta; Joo Yong Bang; Dongmin Park; Hark Kyun Kim; Kwang Pyo Kim
Journal:  Mol Cells       Date:  2015-06-10       Impact factor: 5.034

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  2 in total

1.  Oncogenic potential of macrophage‑capping protein in clear cell renal cell carcinoma.

Authors:  Zhuang-Fei Chen; Ze-Hai Huang; Shi-Jun Chen; Yao-Dong Jiang; Zi-Ke Qin; Shao-Bin Zheng; Tong Chen
Journal:  Mol Med Rep       Date:  2020-11-25       Impact factor: 2.952

2.  A HIF1α-GPD1 feedforward loop inhibits the progression of renal clear cell carcinoma via mitochondrial function and lipid metabolism.

Authors:  Ren Liu; Yuanfa Feng; Yulin Deng; Zhihao Zou; Jianheng Ye; Zhiduan Cai; Xuejin Zhu; Yingke Liang; Jianming Lu; Hui Zhang; Yong Luo; Zhaodong Han; Yangjia Zhuo; Qingling Xie; Chi Tin Hon; Yuxiang Liang; Chin-Lee Wu; Weide Zhong
Journal:  J Exp Clin Cancer Res       Date:  2021-06-07
  2 in total

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