Quantitative proteomic analysis identifying three annexins as lymph node metastasis-related proteins in lung adenocarcinoma
Quantitative proteomic analysis identifying three annexins as lymph node metastasis-related proteins in lung adenocarcinoma
复制标题
定量蛋白质组学分析确定三种膜联蛋白为肺腺癌淋巴结转移相关蛋白
DOI:
10.1007/s12032-010-9761-3
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发表时间:
2012-03-01
期刊:
影响因子:
3.4
通讯作者:
Chen, Zhu-Chu
中科院分区:
文献类型:
--
作者:
Liu, Ying-Fu;Chen, Yong-Heng;Chen, Zhu-Chu
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.