Literature DB >> 18433155

Identificating cathepsin D as a biomarker for differentiation and prognosis of nasopharyngeal carcinoma by laser capture microdissection and proteomic analysis.

Ai-Lan Cheng1, Wei-Guo Huang, Zhu-Chu Chen, Peng-Fei Zhang, Mao-Yu Li, Feng Li, Jian-Ling Li, Cui Li, Hong Yi, Fang Peng, Chao-Jun Duan, Zhi-Qiang Xiao.   

Abstract

In this study, we applied laser capture microdissection and a proteomic approach to identify novel nasopharyngeal carcinoma (NPC) biomarkers. Proteins from pooled microdissected NPC and normal nasopharyngeal epithelial tissues (NNET) were separated by two-dimensional gel electrophoresis, and differential proteins were identified by mass spectrometry. Expression of the differential protein cathepsin D in the above two tissues as well as four NPC cell lines was determined by Western blotting. Next, siRNA was used to inhibit the expression of cathepsin D in highly metastatic NPC cell line 5-8F to examine whether it associates with NPC metastasis. Immunohistochemistry was also performed to detect the expression of cathepsin D in 72 cases of primary NPC, 28 cases of NNET, and 20 cases of cervical lymph node metastases, and the correlation of its expression level with clinicopathologic features and clinical outcomes were evaluated. Thirty-six differential proteins between the NPC and NNET were identified. The expression level of cathepsin D in the two types of tissues was confirmed by Western blotting and related to differentiation degree and metastatic potential of the NPC cell lines. Down-regulated cathepsin D expression by siRNA significantly decreased in vitro invasive ability of 5-8F cells. Significant cathepsin D down-regulation was observed in NPC versus NNET, whereas significant cathepsin D up-regulation was observed in lymph node metastasis versus primary NPC. In addition, cathepsin D down-regulation was significantly correlated with poor histological differentiation, whereas cathepsin D up-regulation was significantly correlated with advanced clinical stage, recurrence, and lymph node and distant metastasis. Furthermore, survival curves showed that patients with cathepsin D up-regulation had a poor prognosis. Multivariate analysis confirmed that cathepsin D expression was an independent prognostic indicator. The data suggest that cathepsin D is a potential biomarker for the differentiation and prognosis of NPC, and its dysregulation might play an important role in the pathogenesis of NPC.

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Year:  2008        PMID: 18433155     DOI: 10.1021/pr7008548

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  22 in total

1.  Quantitative proteomic analysis identifying three annexins as lymph node metastasis-related proteins in lung adenocarcinoma.

Authors:  Ying-Fu Liu; Yong-Heng Chen; Mao-Yu Li; Peng-Fei Zhang; Fang Peng; Guo-Qing Li; Zhi-Qiang Xiao; Zhu-Chu Chen
Journal:  Med Oncol       Date:  2010-12-04       Impact factor: 3.064

2.  Laser-capture microdissection impairs activity-based protein profiles for serine hydrolase in human lung adenocarcinoma.

Authors:  Stéphane Collaud; Thomas Wiedl; Elisa Cattaneo; Alex Soltermann; Sven Hillinger; Walter Weder; Stephan Arni
Journal:  J Biomol Tech       Date:  2010-04

3.  Periostin, a stroma-associated protein, correlates with tumor invasiveness and progression in nasopharyngeal carcinoma.

Authors:  Meixiang Li; Cui Li; Danjuan Li; Yuanjie Xie; Jinfeng Shi; Guoqing Li; Yongjun Guan; Maoyu Li; Pengfei Zhang; Fang Peng; Zhiqiang Xiao; Zhuchu Chen
Journal:  Clin Exp Metastasis       Date:  2012-06-17       Impact factor: 5.150

4.  Aurora-A is an efficient marker for predicting poor prognosis in human nasopharyngeal carcinoma with aggressive local invasion: 208 cases with a 10-year follow-up from a single institution.

Authors:  Zhi-Gang Liu; Wei Yi; Ya-Lan Tao; Hsiao Chang Chan; Mu-Sheng Zeng; Yun-Fei Xia
Journal:  Oncol Lett       Date:  2012-03-27       Impact factor: 2.967

5.  Quantitative proteomic analysis of formalin-fixed and paraffin-embedded nasopharyngeal carcinoma using iTRAQ labeling, two-dimensional liquid chromatography, and tandem mass spectrometry.

Authors:  Zhefeng Xiao; Guoqing Li; Yongheng Chen; Maoyu Li; Fang Peng; Cui Li; Feng Li; Yanhui Yu; Yongmei Ouyang; Zhiqiang Xiao; Zhuchu Chen
Journal:  J Histochem Cytochem       Date:  2010-02-01       Impact factor: 2.479

6.  Identification of RKIP as a differentially tyrosine-phosphorylated protein in nasopharyngeal carcinoma and normal nasopharyngeal epithelial tissues by phosphoproteomic approach.

Authors:  Yan Chen; Can-E Tang; Guo-Liang Ouyang; Lin Ruan; Mao-Yu Li; Peng-Fei Zhang; Cui Li; Hong Yi; Fang Peng; Jian-Ling Li; Zhu-Chu Chen; Zhi-Qiang Xiao
Journal:  Med Oncol       Date:  2008-12-19       Impact factor: 3.064

7.  Liquid chromatography-tandem and MALDI imaging mass spectrometry analyses of RCL2/CS100-fixed, paraffin-embedded tissues: proteomics evaluation of an alternate fixative for biomarker discovery.

Authors:  Alain Mangé; Pierre Chaurand; Helene Perrochia; Pascal Roger; Richard M Caprioli; Jérôme Solassol
Journal:  J Proteome Res       Date:  2009-12       Impact factor: 4.466

8.  Identification of tyrosine phosphoproteins in signaling pathway triggered TGF-a by using functional proteomics technology.

Authors:  Lin Ruan; Guo-Liang Wang; Yan Chen; Hong Yi; Can-E Tang; Peng-Fei Zhang; Mao-Yu Li; Cui Li; Fang Peng; Jian-Ling Li; Zhu-Chu Chen; Zhi-Qiang Xiao
Journal:  Med Oncol       Date:  2010-01-05       Impact factor: 3.064

9.  Proteomic analysis of the stroma-related proteins in nasopharyngeal carcinoma and normal nasopharyngeal epithelial tissues.

Authors:  Mei-xiang Li; Zhi-qiang Xiao; Yong-heng Chen; Fang Peng; Cui Li; Peng-fei Zhang; Mao-yu Li; Feng Li; Chao-jun Duan; Dan-Juan Li; Hui-xin Yao; Zhu-chu Chen
Journal:  Med Oncol       Date:  2009-02-26       Impact factor: 3.064

10.  Quantitative proteome analysis of colorectal cancer-related differential proteins.

Authors:  Yanbin Zhang; Yue Liu; Yingjiang Ye; Danhua Shen; Hui Zhang; Hongyan Huang; Sha Li; Shan Wang; Jun Ren
Journal:  J Cancer Res Clin Oncol       Date:  2016-09-22       Impact factor: 4.553

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