Literature DB >> 21132403

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

Ying-Fu Liu1, Yong-Heng Chen, Mao-Yu Li, Peng-Fei Zhang, Fang Peng, Guo-Qing Li, Zhi-Qiang Xiao, Zhu-Chu Chen.   

Abstract

Lymph node status is a strong predictor of outcome for lung adenocarcinoma (AdC) patients. To explore novel potential protein markers for predicting lymph node metastasis of lung AdC, differential proteomic analysis on microdissected cancer cells from primary lung AdC and matched lymph node (LN) metastatic tissues by laser capture microdissection (LCM) was conducted using two-dimensional differential in-gel electrophoresis (2D-DIGE) coupled with mass spectrometry (MS). Annexins including annexin-1, annexin-2 and annexin-3 were identified and found to be overexpressed in matched LN metastatic tissues compared to primary lung AdC. Furthermore, differential expression levels of the three annexins were evaluated in paraffin-embedded 188 primary lung AdC tissues and 65 matched positive lymph node specimens using immunohistochemistry. High expression of annexin-1, annexin-2, and annexin-3 was all frequently observed in matched positive lymph node tissues compared to primary lung AdC. In primary lung AdC, expression levels of the three annexins in primary lymph node-positive AdC tissues were higher than primary lymph node-negative AdC tissues. Multivariate logistic regression analysis indicated annexin-1, annexin-2, and annexin-3 were all significant risk factors for lymph node metastasis. Furthermore, statistical analysis indicated that the concomitant expression of annexin-1/annexin-2, annexin-1/annexin-3, or annexin-2/annexin-3 and combined expression of all three markers had stronger correlation with lymph node metastasis. Our results suggest that annexin-1, annexin-2, and annexin-3 are identified as potential biomarkers associated with lymph node metastasis in lung AdC.

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Year:  2010        PMID: 21132403     DOI: 10.1007/s12032-010-9761-3

Source DB:  PubMed          Journal:  Med Oncol        ISSN: 1357-0560            Impact factor:   3.064


  31 in total

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