Literature DB >> 15970581

An approach to studying lung cancer-related proteins in human blood.

Ting Xiao1, Wantao Ying, Lei Li, Zhi Hu, Ying Ma, Liyan Jiao, Jinfang Ma, Yun Cai, Dongmei Lin, Suping Guo, Naijun Han, Xuebing Di, Min Li, Dechao Zhang, Kai Su, Jinsong Yuan, Hongwei Zheng, Meixia Gao, Jie He, Susheng Shi, Wuju Li, Ningzhi Xu, Husheng Zhang, Yan Liu, Kaitai Zhang, Yanning Gao, Xiaohong Qian, Shujun Cheng.   

Abstract

Early stage lung cancer detection is the first step toward successful clinical therapy and increased patient survival. Clinicians monitor cancer progression by profiling tumor cell proteins in the blood plasma of afflicted patients. Blood plasma, however, is a difficult cancer protein assessment medium because it is rich in albumins and heterogeneous protein species. We report herein a method to detect the proteins released into the circulatory system by tumor cells. Initially we analyzed the protein components in the conditioned medium (CM) of lung cancer primary cell or organ cultures and in the adjacent normal bronchus using one-dimensional PAGE and nano-ESI-MS/MS. We identified 299 proteins involved in key cellular process such as cell growth, organogenesis, and signal transduction. We selected 13 interesting proteins from this list and analyzed them in 628 blood plasma samples using ELISA. We detected 11 of these 13 proteins in the plasma of lung cancer patients and non-patient controls. Our results showed that plasma matrix metalloproteinase 1 levels were elevated significantly in late stage lung cancer patients and that the plasma levels of 14-3-3 sigma, beta, and eta in the lung cancer patients were significantly lower than those in the control subjects. To our knowledge, this is the first time that fascin, ezrin, CD98, annexin A4, 14-3-3 sigma, 14-3-3 beta, and 14-3-3 eta proteins have been detected in human plasma by ELISA. The preliminary results showed that a combination of CD98, fascin, polymeric immunoglobulin receptor/secretory component and 14-3-3 eta had a higher sensitivity and specificity than any single marker. In conclusion, we report a method to detect proteins released into blood by lung cancer. This pilot approach may lead to the identification of novel protein markers in blood and provide a new method of identifying tumor biomarker profiles for guiding both early detection and therapy of human cancer.

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Year:  2005        PMID: 15970581     DOI: 10.1074/mcp.M500055-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  40 in total

1.  Comparative proteomic analysis of non-small-cell lung cancer and normal controls using serum label-free quantitative shotgun technology.

Authors:  Jun Pan; Hai-Quan Chen; Yi-Hua Sun; Jun-Hua Zhang; Xiao-Yang Luo
Journal:  Lung       Date:  2008-05-09       Impact factor: 2.584

2.  Heterogeneity of aberrant immunoglobulin expression in cancer cells.

Authors:  Duosha Hu; Zhi Duan; Ming Li; Yiqun Jiang; Haidan Liu; Hui Zheng; Lili Li; Ann M Bode; Zigang Dong; Ya Cao
Journal:  Cell Mol Immunol       Date:  2011-08-22       Impact factor: 11.530

3.  Identification of proteomic differences between squamous cell carcinoma of the lung and bronchial epithelium.

Authors:  Gereon Poschmann; Barbara Sitek; Bence Sipos; Anna Ulrich; Sebastian Wiese; Christian Stephan; Bettina Warscheid; Günter Klöppel; Ann Vander Borght; Frans C S Ramaekers; Helmut E Meyer; Kai Stühler
Journal:  Mol Cell Proteomics       Date:  2009-01-27       Impact factor: 5.911

4.  Identification of five candidate lung cancer biomarkers by proteomics analysis of conditioned media of four lung cancer cell lines.

Authors:  Chris Planque; Vathany Kulasingam; Chris R Smith; Karen Reckamp; Lee Goodglick; Eleftherios P Diamandis
Journal:  Mol Cell Proteomics       Date:  2009-09-23       Impact factor: 5.911

5.  Diacetylspermine Is a Novel Prediagnostic Serum Biomarker for Non-Small-Cell Lung Cancer and Has Additive Performance With Pro-Surfactant Protein B.

Authors:  William R Wikoff; Samir Hanash; Brian DeFelice; Suzanne Miyamoto; Matt Barnett; Yang Zhao; Gary Goodman; Ziding Feng; David Gandara; Oliver Fiehn; Ayumu Taguchi
Journal:  J Clin Oncol       Date:  2015-08-17       Impact factor: 44.544

6.  Up-regulation and subcellular localization of hnRNP A2/B1 in the development of hepatocellular carcinoma.

Authors:  Huaqing Cui; Feng Wu; Yanling Sun; Guocai Fan; Qingming Wang
Journal:  BMC Cancer       Date:  2010-07-06       Impact factor: 4.430

Review 7.  Methodologies to decipher the cell secretome.

Authors:  Paromita Mukherjee; Sridhar Mani
Journal:  Biochim Biophys Acta       Date:  2013-01-31

Review 8.  Proteomic biomarkers in lung cancer.

Authors:  M D Pastor; A Nogal; S Molina-Pinelo; A Carnero; L Paz-Ares
Journal:  Clin Transl Oncol       Date:  2013-04-20       Impact factor: 3.405

9.  A list of candidate cancer biomarkers for targeted proteomics.

Authors:  Malu Polanski; N Leigh Anderson
Journal:  Biomark Insights       Date:  2007-02-07

10.  LMP1-augmented kappa intron enhancer activity contributes to upregulation expression of Ig kappa light chain via NF-kappaB and AP-1 pathways in nasopharyngeal carcinoma cells.

Authors:  HaiDan Liu; Hui Zheng; Zhi Duan; DuoSha Hu; Ming Li; SuFang Liu; ZiJian Li; XiYun Deng; ZhenLian Wang; Min Tang; Ying Shi; Wei Yi; Ya Cao
Journal:  Mol Cancer       Date:  2009-10-27       Impact factor: 27.401

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